Research Publications
S. No | Research Publications |
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1 | B.-H. Kim, A. Haldorai, and S. S, “A Battery Lifetime Monitoring and Estimation using Split Learning Algorithm in Smart Mobile Consumer Electronics,” IEEE Transactions on Consumer Electronics, pp. 1–1, 2024, doi: 10.1109/tce.2024.3397714. |
2 | S. P. Jadhav, A. Srinivas, P. Dipak Raghunath, M. Ramkumar Prabhu, J. Suryawanshi, and A. Haldorai, “Deep learning approaches for multi-modal sensor data analysis and abnormality detection,” Measurement: Sensors, vol. 33, p. 101157, Jun. 2024, doi: 10.1016/j.measen.2024.101157. |
3 | A.Haldorai, B. Lincy R, S. M, and M. Balakrishnan, “An improved single short detection method for smart vision-based water garbage cleaning robot,” Cognitive Robotics, vol. 4, pp. 19–29, 2024, doi: 10.1016/j.cogr.2023.11.002. |
4 | Haldorai, R. Babitha Lincy, M. Suriya, and M. Balakrishnan, “Satellite-terrestrial Integrated Computing and Artificial Intelligence as a Means of Achieving Handover Management,” 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), Feb. 2024, doi: 10.1109/ic2pct60090.2024.10486541. |
5 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “A Modified AI Model for Automatic and Precision Monitoring System of Wildlife in Forest Areas,” EAI/Springer Innovations in Communication and Computing, pp. 477–493, 2024, doi: 10.1007/978-3-031-53972-5_25. |
6 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Vision Transformer-Based Forest Fire Classification: Wild Life Management System,” EAI/Springer Innovations in Communication and Computing, pp. 457–475, 2024, doi: 10.1007/978-3-031-53972-5_24. |
7 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Automatic Human Activity Detection Using Novel Deep Learning Architecture,” EAI/Springer Innovations in Communication and Computing, pp. 441–453, 2024, doi: 10.1007/978-3-031-53972-5_23. |
8 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Harnessing Intelligent AI to Elevate Business Modeling: A Perspective,” EAI/Springer Innovations in Communication and Computing, pp. 429–440, 2024, doi: 10.1007/978-3-031-53972-5_22. |
9 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Nature Inspired Optimizers and Their Importance for AI: An Inclusive Analysis,” EAI/Springer Innovations in Communication and Computing, pp. 407–427, 2024, doi: 10.1007/978-3-031-53972-5_21. |
10 | Haldorai, R. Babitha Lincy, M. Suriya, and M. Balakrishnan, “Climate Resilience Via Smart Technologies Over Natural Disaster,” EAI/Springer Innovations in Communication and Computing, pp. 383–406, 2024, doi: 10.1007/978-3-031-53972-5_20. |
11 | Haldorai, R. Babitha Lincy, M. Suriya, and M. Balakrishnan, “Crisis Assessment Through Satellite Footage Using Deep Learning Techniques for Efficient Disaster Response,” EAI/Springer Innovations in Communication and Computing, pp. 371–382, 2024, doi: 10.1007/978-3-031-53972-5_19. |
12 | Haldorai, R. Babitha Lincy, M. Suriya, and M. Balakrishnan, “Enhancing Military Capability Through Artificial Intelligence: Trends, Opportunities, and Applications,” EAI/Springer Innovations in Communication and Computing, pp. 359–370, 2024, doi: 10.1007/978-3-031-53972-5_18. |
13 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Marine Vision-Based Situational Automatic Ship Detection Using Remote Sensing Images,” EAI/Springer Innovations in Communication and Computing, pp. 341–357, 2024, doi: 10.1007/978-3-031-53972-5_17. |
14 | Haldorai, R. Babitha Lincy, M. Suriya, and M. Balakrishnan, “An End-to-End Offline Handwritten Tamil Text Identification Using Modified RAdam Optimizer with Effective Post-processing Techniques,” EAI/Springer Innovations in Communication and Computing, pp. 317–340, 2024, doi: 10.1007/978-3-031-53972-5_16. |
15 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Bi-Model Emotional AI for Audio-Visual Human Emotion Detection Using Hybrid Deep Learning Model,” EAI/Springer Innovations in Communication and Computing, pp. 293–315, 2024, doi: 10.1007/978-3-031-53972-5_15. |
16 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “AI-Based Effective Communication in Software-Defined VANET: A Study,” EAI/Springer Innovations in Communication and Computing, pp. 271–290, 2024, doi: 10.1007/978-3-031-53972-5_14. |
17 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “A Review on Smart Navigation Techniques for Automated Vehicle,” EAI/Springer Innovations in Communication and Computing, pp. 249–269, 2024, doi: 10.1007/978-3-031-53972-5_13. |
18 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Artificial Intelligence for Intelligent Spectrum Management Toward Futuristic Communication,” EAI/Springer Innovations in Communication and Computing, pp. 235–248, 2024, doi: 10.1007/978-3-031-53972-5_12. |
19 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “AI-Empowered Blockchain Techniques Against Cybersecurity Context in IoT: A Survey,” EAI/Springer Innovations in Communication and Computing, pp. 209–234, 2024, doi: 10.1007/978-3-031-53972-5_11. |
20 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Empowering Smart Cities: AI-Driven Solutions for Urban Computing,” EAI/Springer Innovations in Communication and Computing, pp. 197–208, 2024, doi: 10.1007/978-3-031-53972-5_10. |
21 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “A Review on Smart Charging Approaches for Electric Vehicle,” EAI/Springer Innovations in Communication and Computing, pp. 177–196, 2024, doi: 10.1007/978-3-031-53972-5_9. |
22 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Deep Learning for Mental Health Disorder Via Social Network Analysis,” EAI/Springer Innovations in Communication and Computing, pp. 153–173, 2024, doi: 10.1007/978-3-031-53972-5_8. |
23 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Hemorrhage Detection from Whole-Body CT Images Using Deep Learning,” EAI/Springer Innovations in Communication and Computing, pp. 139–151, 2024, doi: 10.1007/978-3-031-53972-5_7. |
24 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Risk Prediction of Maternal Health by Model Analysis Using Artificial Intelligence,” EAI/Springer Innovations in Communication and Computing, pp. 125–138, 2024, doi: 10.1007/978-3-031-53972-5_6. |
25 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Detecting Alzheimer’s Disease Using Deep Learning Framework for Medial IoT Application,” EAI/Springer Innovations in Communication and Computing, pp. 101–123, 2024, doi: 10.1007/978-3-031-53972-5_5. |
26 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “AI-Based Smart Decision System for Early and Accurate Brain Tumor Prediction,” EAI/Springer Innovations in Communication and Computing, pp. 77–99, 2024, doi: 10.1007/978-3-031-53972-5_4. |
27 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “An Investigation on Different Approaches for Medical Imaging,” EAI/Springer Innovations in Communication and Computing, pp. 57–75, 2024, doi: 10.1007/978-3-031-53972-5_3. |
28 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Crop Yield Prediction Using Optimized Convolutional Neural Network Model Based on Environmental and Phenological Data,” EAI/Springer Innovations in Communication and Computing, pp. 27–54, 2024, doi: 10.1007/978-3-031-53972-5_2. |
29 | Haldorai, B. L. R, S. Murugan, and M. Balakrishnan, “Significance of AI in Smart Agriculture: Methods, Technologies, Trends, and Challenges,” EAI/Springer Innovations in Communication and Computing, pp. 3–25, 2024, doi: 10.1007/978-3-031-53972-5_1. |
30 | K. Sangaiah, A. Javadpour, C.-C. Hsu, A. Haldorai, and A. Zeynivand, “Investigating Routing in the VANET Network: Review and Classification of Approaches,” Algorithms, vol. 16, no. 8, p. 381, Aug. 2023, doi: 10.3390/a16080381. |
31 | S. Ayub, N. Singh, Md. Z. Hussain, M. Ashraf, D. K. Singh, and A. Haldorai, “Hybrid approach to implement multi‐robotic navigation system using neural network, fuzzy logic, and bio‐inspired optimization methodologies,” Computational Intelligence, vol. 39, no. 4, pp. 592–606, Sep. 2022, doi: 10.1111/coin.12547. |
32 | S. Ganeshkumar, B. K. Singh, R. Suresh Kumar, and A. Haldorai, “Digital Twin Framework for Lathe Tool Condition Monitoring in Machining of Aluminium 5052,” Defence Science Journal, vol. 73, no. 3, pp. 341–350, May 2023, doi: 10.14429/dsj.73.18650. |
33 | D. Hemanand, N. P. G. Bhavani, S. Ayub, M. W. Ahmad, S. Narayanan, and A. Haldorai, “Multilayer vectorization to develop a deeper image feature learning model,” Automatika, vol. 64, no. 2, pp. 355–364, Dec. 2022, doi: 10.1080/00051144.2022.2157946. |
34 | K. S. Umadevi, K. S. Thakare, S. Patil, R. Raut, A. K. Dwivedi, and A. Haldorai, “Dynamic hidden feature space detection of noisy image set by weight binarization,” Signal, Image and Video Processing, vol. 17, no. 3, pp. 761–768, Aug. 2022, doi: 10.1007/s11760-022-02284-2. |
35 | R. Subha, A. Haldorai, and A. Ramu, “Artificial Intelligence Model for Software Reusability Prediction System,” Intelligent Automation & Soft Computing, vol. 35, no. 3, pp. 2639–2654, 2023, doi: 10.32604/iasc.2023.028153. |
36 | K. Dwivedi, U. Kaliyaperumal Subramanian, J. Kuruvilla, A. Thomas, D. Shanthi, and A. Haldorai, “Time-series data prediction problem analysis through multilayered intuitionistic fuzzy sets,” Soft Computing, vol. 27, no. 3, pp. 1663–1671, Apr. 2022, doi: 10.1007/s00500-022-07053-4. |
37 | M. Amanullah, S. Thanga Ramya, M. Sudha, V. P. Gladis Pushparathi, A. Haldorai, and B. Pant, “Data sampling approach using heuristic Learning Vector Quantization (LVQ) classifier for software defect prediction,” Journal of Intelligent Fuzzy Systems, vol. 44, no. 3, pp. 3867–3876, Mar. 2023, doi: 10.3233/jifs-220480. |
38 | A. Haldorai, B. Lincy R, S. M, and M. Balakrishnan, “An improved single short detection method for smart vision-based water garbage cleaning robot,” Cognitive Robotics, vol. 4, pp. 19–29, 2024, doi: 10.1016/j.cogr.2023.11.002. |
39 | A. Agarkar, Md. Z. Hussain, J. T. Raja, A. Haldorai, S. Selvakanmani, and M. Thangamani, “Analysis of taskable mobile IoT sensing systems for coverage and throughput,” International Journal of System Assurance Engineering and Management, Feb. 2023, doi: 10.1007/s13198-023-01872-w. |
40 | N. Gayathri, H. Anandakumar, R. Sathya, and S. Gowri, “An Investigation on Spectrum Mobility Mechanisms in Cognitive Network Communication,” 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2023, doi: 10.1109/icaccs57279.2023.10113068. |
41 | G. Gokilakrishnan, V. M, R. Anushanjali, R. Subbiah, and A. H, “Analysis of the Requirement and Architecture for the Internet of Drones,” 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2023, doi: 10.1109/icaccs57279.2023.10112779. |
42 | K. J, A. H, P. V, Y. S, and G. N, “A Study Of Dynamic Thresholds Power Detection Spectrum Sensing Techniques In CRN,” 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2023, doi: 10.1109/icaccs57279.2023.10112923. |
43 | G. Gokilakrishnan, D. Prabha, S. Srinivasan, S. Thirumurugaveerakumar, V. M, and A. H, “A Critical Analysis of the Block Chain in Manufacturing System Implementation,” 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2023, doi: 10.1109/icaccs57279.2023.10112828. |
44 | G. Gokilakrishnan, P. A. Varthnan, D. V. Kumar, Ram. Subbiah, and A. H, “Modeling and Performance Evaluation for Intelligent Internet of Intelligence Things,” 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2023, doi: 10.1109/icaccs57279.2023.10112692. |
45 | N. Gayathri, H. Anandakumar, S. Gowri, J. Keerthika, and S. Nithyapriya, “An analysis of Network Security Attacks and their mitigation for Cognitive Radio Communication,” 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2023, doi: 10.1109/icaccs57279.2023.10112905. |
46 | G. Gokilakrishnan, V. M, A. Dhanamurugan, A. Bhasha, R. Subbiah, and A. H, “A Review of Applications, Enabling Technologies, Growth Challenges and Solutions for IoT/IIoT,” 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2023, doi: 10.1109/icaccs57279.2023.10112825. |
47 | Haldorai, Eswaramoorthy. V, M. Upadhyaya, G. J. Nehru, and D. Kapila, “Self-Learning and Adaptive Networking Protocols and Algorithms for 6G Edge Nodes,” 2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT), Feb. 2023, doi: 10.1109/icecct56650.2023.10179645. |
48 | Haldorai, Ravishankar. C. V, Q. S. Mahdi, and P. Devasudha, “Application of AI/ML in Network-Slicing-Based Infrastructure of the Next-Generation Wireless Networking Systems,” 2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT), Feb. 2023, doi: 10.1109/icecct56650.2023.10179649. |
49 | Haldorai, Ravishankar. C. V, Q. S. Mahdi, and G. J. Nehru, “Advanced Communication in Cyber Physical System Infrastructure, Protocols, and Challenges,” 2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT), Feb. 2023, doi: 10.1109/icecct56650.2023.10179710. |
50 | “Preface: Proceedings of the 2022 4th International Conference on Sustainable Manufacturing, Materials and Technologies (ICSMMT),” AIP Conference Proceedings, 2023, doi: 10.1063/12.0016791. |
51 | A. Haldorai, “A Review on Artificial Intelligence in Internet of Things and Cyber Physical Systems,” Journal of Computing and Natural Science, pp. 12–23, Jan. 2023, doi: 10.53759/181x/jcns202303002. |
52 | A. H, “Nano-Antibacterial Materials as an Alternative Antimicrobial Strategy,” Journal of Computational Intelligence in Materials Science, pp. 45–55, Apr. 2023, doi: 10.53759/832x/jcims202301005. |
53 | D. K. Mishra, A. Thomas, J. Kuruvilla, P. Kalyanasundaram, K. R. Prasad, and A. Haldorai, “Design of mobile robot navigation controller using neuro-fuzzy logic system,” Computers and Electrical Engineering, vol. 101, p. 108044, Jul. 2022, doi: 10.1016/j.compeleceng.2022.108044. |
54 | R. Sankaranarayanan, K. S. Umadevi, N. Bhavani, B. M. Jos, A. Haldorai, and D. V. Babu, “Cluster-based attacks prevention algorithm for autonomous vehicles using machine learning algorithms,” Computers and Electrical Engineering, vol. 101, p. 108088, Jul. 2022, doi: 10.1016/j.compeleceng.2022.108088. |
55 | G. S, D. T, and A. Haldorai, “A Supervised Machine Learning Model for Tool Condition Monitoring in Smart Manufacturing,” Defence Science Journal, vol. 72, no. 5, pp. 712–720, Nov. 2022, doi: 10.14429/dsj.72.17533. |
56 | K. Naveen Durai, R. Subha, and A. Haldorai, “Hybrid Invasive Weed Improved Grasshopper Optimization Algorithm for Cloud Load Balancing,” Intelligent Automation & Soft Computing, vol. 34, no. 1, pp. 467–483, 2022, doi: 10.32604/iasc.2022.026020. |
57 | A. Haldorai, J. Sivaraj, M. Nagabushanam, and M. Kingston Roberts, “Cognitive Wireless Networks Based Spectrum Sensing Strategies: A Comparative Analysis,” Applied Computational Intelligence and Soft Computing, vol. 2022, pp. 1–14, Oct. 2022, doi: 10.1155/2022/6988847. |
58 | R. M. P, S. Ponnan, S. Shelly, Md. Z. Hussain, M. Ashraf, and A. Haldorai, “Autonomous navigation system based on a dynamic access control architecture for the internet of vehicles,” Computers and Electrical Engineering, vol. 101, p. 108037, Jul. 2022, doi: 10.1016/j.compeleceng.2022.108037. |
59 | V. Kalpana, D. K. Mishra, K. Chanthirasekaran, A. Haldorai, Srigitha. S. Nath, and B. K. Saraswat, “On reducing energy cost consumption in heterogeneous cellular networks using optimal time constraint algorithm,” Optik, vol. 270, p. 170008, Nov. 2022, doi: 10.1016/j.ijleo.2022.170008. |
60 | R. Subha and A. Haldorai, “An Efficient Identification of Security Threats in Requirement Engineering Methodology,” Computational Intelligence and Neuroscience, vol. 2022, pp. 1–14, Aug. 2022, doi: 10.1155/2022/1872079. |
61 | S. Ayub, R. Boddu, H. Verma, S. Revathi B, B. K. Saraswat, and A. Haldorai, “Health Index Estimation of Wind Power Plant Using Neurofuzzy Modeling,” Computational and Mathematical Methods in Medicine, vol. 2022, pp. 1–8, May 2022, doi: 10.1155/2022/9535254. |
62 | B. Jackson, S. R, B. Balachander, A. Haldorai, V. S., and A. N. A. Sahaya, “Modified Design Structure Of A Metamaterial Microstrip Patch Array Antenna For Rf Energy Optimization,” Materiali in tehnologije, vol. 56, no. 2, Apr. 2022, doi: 10.17222/mit.2022.384. |
63 | V. L. Narla, R. Kachhoria, M. Arun, A. Haldorai, D. Vijendra Babu, and B. M. Jos, “IoT based energy efficient multipath power control for underwater sensor network,” International Journal of System Assurance Engineering and Management, Apr. 2022, doi: 10.1007/s13198-021-01560-7. |
64 | K. Ashok, M. Ashraf, J. Thimmia Raja, M. Z. Hussain, D. K. Singh, and A. Haldorai, “Collaborative analysis of audio-visual speech synthesis with sensor measurements for regulating human–robot interaction,” International Journal of System Assurance Engineering and Management, Aug. 2022, doi: 10.1007/s13198-022-01709-y. |
65 | Md. Z. Hussain, M. Ashraf, D. K. Singh, A. Haldorai, D. K. Mishra, and T. N. Shanavas, “Intelligent data post and read data system like to feed for IoT sensors,” International Journal of System Assurance Engineering and Management, Jun. 2022, doi: 10.1007/s13198-022-01683-5. |
66 | D. Ramkumar, M. Ashraf, K. Sathesh Kumar, Md. Z. Hussain, A. Haldorai, and D. K. Mishra, “Defining multiple geometrical areas with modeling of elementary geometrical volumes in robot-environment interaction,” International Journal of System Assurance Engineering and Management, Jun. 2022, doi: 10.1007/s13198-022-01708-z. |
67 | G. D. Vignesh, A. Ramu, J. T. Raja, P. Ponmurugan, A. Haldorai, and G. Senthilkumar, “Sensor data fusion techniques in the construction of generalized VORONOI graph for on-line motion planning in robot navigation,” International Journal of System Assurance Engineering and Management, Sep. 2022, doi: 10.1007/s13198-022-01773-4. |
68 | S. Shanthi, S. Saradha, J. A. Smitha, N. Prasath, and H. Anandakumar, “An efficient automatic brain tumor classification using optimized hybrid deep neural network,” International Journal of Intelligent Networks, vol. 3, pp. 188–196, 2022, doi: 10.1016/j.ijin.2022.11.003. |
69 | V. L. Narla, R. Kachhoria, M. Arun, A. Haldorai, D. Vijendra Babu, and B. M. Jos, “IoT based energy efficient multipath power control for underwater sensor network,” International Journal of System Assurance Engineering and Management, Apr. 2022, doi: 10.1007/s13198-021-01560-7. |
70 | K. Ashok, M. Ashraf, J. Thimmia Raja, M. Z. Hussain, D. K. Singh, and A. Haldorai, “Collaborative analysis of audio-visual speech synthesis with sensor measurements for regulating human–robot interaction,” International Journal of System Assurance Engineering and Management, Aug. 2022, doi: 10.1007/s13198-022-01709-y. |
71 | S. R and A. H, “Improved EPOA clustering protocol for lifetime longevity in wireless sensor network,” Sensors International, vol. 3, p. 100199, 2022, doi: 10.1016/j.sintl.2022.100199. |
72 | Md. Z. Hussain, M. Ashraf, D. K. Singh, A. Haldorai, D. K. Mishra, and T. N. Shanavas, “Intelligent data post and read data system like to feed for IoT sensors,” International Journal of System Assurance Engineering and Management, Jun. 2022, doi: 10.1007/s13198-022-01683-5. |
73 | D. Ramkumar, M. Ashraf, K. Sathesh Kumar, Md. Z. Hussain, A. Haldorai, and D. K. Mishra, “Defining multiple geometrical areas with modeling of elementary geometrical volumes in robot-environment interaction,” International Journal of System Assurance Engineering and Management, Jun. 2022, doi: 10.1007/s13198-022-01708-z. |
74 | A. Haldorai and K. K, “An Analysis of Software Defined Networks and Possibilities of Network Attacks,” Journal of Machine and Computing, pp. 42–52, Jan. 2022, doi: 10.53759/7669/jmc202202006. |
75 | S. R and A. H, “Adaptive fuzzy logic inspired path longevity factor-based forecasting model reliable routing in MANETs,” Sensors International, vol. 3, p. 100201, 2022, doi: 10.1016/j.sintl.2022.100201. |
76 | G. D. Vignesh, A. Ramu, J. T. Raja, P. Ponmurugan, A. Haldorai, and G. Senthilkumar, “Sensor data fusion techniques in the construction of generalized VORONOI graph for on-line motion planning in robot navigation,” International Journal of System Assurance Engineering and Management, Sep. 2022, doi: 10.1007/s13198-022-01773-4. |
77 | T. Thamaraimanalan et al., “Machine Learning based Patient Mental Health Prediction using Spectral Clustering and RBFN Algorithms,” 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2022, doi: 10.1109/icaccs54159.2022.9785142. |
78 | S. Deepak, H. Anandakumar, S. Pavithra, V. Keerthika, and K. Nandhini, “Performance Analysis of Star Topology for Small Networks Using Riverbed,” 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2022, doi: 10.1109/icaccs54159.2022.9785012. |
79 | A. Haldorai, “Supervised, Unsupervised and Semi-Supervised Word Sense Disambiguation Approaches,” Advances in Intelligent Systems and Technologies, pp. 66–75, Jul. 2022, doi: 10.53759/aist/978-9914-9946-0-5_8. |
80 | A. Haldorai, “Analysis on Intelligent Agent based Approach for Software Engineering,” Journal of Computing and Natural Science, pp. 175–186, Oct. 2022, doi: 10.53759/181x/jcns202202020. |
81 | A. Haldorai and S. Anandakumar, “An Design of Software Defined Networks and Possibilities of Network Attacks,” Journal of Computing and Natural Science, pp. 88–97, Jul. 2022, doi: 10.53759/181x/jcns202202012. |
82 | A. Haldorai, “A Survey of Renewable Energy Sources and their Contribution to Sustainable Development,” Journal of Enterprise and Business Intelligence, pp. 211–222, Oct. 2022, doi: 10.53759/5181/jebi202202021. |
83 | J. Amin, M. Sharif, A. Haldorai, M. Yasmin, and R. S. Nayak, “Brain tumor detection and classification using machine learning: a comprehensive survey,” Complex & Intelligent Systems, vol. 8, no. 4, pp. 3161–3183, Nov. 2021, doi: 10.1007/s40747-021-00563-y. |
84 | A. Haldorai and A. Ramu, “Canonical Correlation Analysis Based Hyper Basis Feedforward Neural Network Classification for Urban Sustainability,” Neural Processing Letters, vol. 53, no. 4, pp. 2385–2401, Aug. 2020, doi: 10.1007/s11063-020-10327-3. |
85 | R. Subha, A. Haldorai, and A. Ramu, “An Optimal Approach to Enhance Context Aware Description Administration Service for Cloud Robots in a Deep Learning Environment,” Wireless Personal Communications, vol. 117, no. 4, pp. 3343–3358, Feb. 2021, doi: 10.1007/s11277-021-08073-3. |
86 | A. Kumar, K. Abhishek, X. Liu, and A. Haldorai, “An Efficient Privacy-Preserving ID Centric Authentication in IoT Based Cloud Servers for Sustainable Smart Cities,” Wireless Personal Communications, vol. 117, no. 4, pp. 3229–3253, Nov. 2020, doi: 10.1007/s11277-020-07979-8. |
87 | K. N. Durai, R. Subha, and A. Haldorai, “A Novel Method to Detect and Prevent SQLIA Using Ontology to Cloud Web Security,” Wireless Personal Communications, vol. 117, no. 4, pp. 2995–3014, Mar. 2020, doi: 10.1007/s11277-020-07243-z. |
88 | A. K. Gupta, T. Maity, A. H, and Y. K. Chauhan, “An electromagnetic strategy to improve the performance of PV panel under partial shading,” Computers & Electrical Engineering, vol. 90, p. 106896, Mar. 2021, doi: 10.1016/j.compeleceng.2020.106896. |
89 | S. Pal, D. K. Mishra, A. Haldorai, L. R. Parvathy, S. Janupriya, and D. V. Babu, “Machine Learning Based Real Time-Heuristic Sensor Data Analytics For Early Warning Prediction,” Oct. 2021, doi: 10.21203/rs.3.rs-1012679/v1. |
90 | A. Haldorai, S. Murugan, and A. Ramu, “Evolution, challenges, and application of intelligent ICT education: An overview,” Computer Applications in Engineering Education, vol. 29, no. 3, pp. 562–571, Feb. 2020, doi: 10.1002/cae.22217. |
91 | T. Thamaraimanalan, M. Mohankumar, S. Dhanasekaran, and H. Anandakumar, “Experimental analysis of intelligent vehicle monitoring system using Internet of Things (IoT),” EAI Endorsed Transactions on Energy Web, p. 169336, Jul. 2018, doi: 10.4108/eai.16-4-2021.169336. |
92 | S. Alhomdy, F. Thabit, F. H. Abdulrazzak, A. Haldorai, and S. Jagtap, “The role of cloud computing technology: A savior to fight the lockdown in COVID 19 crisis, the benefits, characteristics and applications,” International Journal of Intelligent Networks, vol. 2, pp. 166–174, 2021, doi: 10.1016/j.ijin.2021.08.001. |
93 | G. Gokilakrishnan, S. Ganeshkumar, H. Anandakumar, and M. Vigneshkumar, “A Critical Review of Production Distribution Planning Models,” 2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2021, doi: 10.1109/icaccs51430.2021.9441879. |
94 | A. Haldorai and A. Ramu, “Intelligent Computing Application for Cloud Enhancing Healthcare Services,” Lecture Notes on Data Engineering and Communications Technologies, pp. 261–276, 2021, doi: 10.1007/978-981-16-0965-7_22. |
95 | A. Haldorai and A. Ramu, “An Analysis of Artificial Intelligence Clinical Decision-Making and Patient-Centric Framework,” Advances in Intelligent Systems and Computing, pp. 813–827, 2021, doi: 10.1007/978-981-33-6862-0_62. |
96 | A. Haldorai and A. Ramu, “A Critical Review of the Intelligent Computing Methods for the Identification of the Sleeping Disorders,” Advances in Intelligent Systems and Computing, pp. 829–843, 2021, doi: 10.1007/978-981-33-6862-0_63. |
97 | A. Haldorai and A. Ramu, “Artificial Intelligence and Medical Decision Support in Advanced Healthcare System,” Advances in Intelligent Systems and Computing, pp. 781–793, 2021, doi: 10.1007/978-981-33-6862-0_60. |
98 | A. Haldorai and A. Ramu, “Survey of Image Processing Techniques in Medical Image Assessment Methodologies,” Advances in Intelligent Systems and Computing, pp. 795–811, 2021, doi: 10.1007/978-981-33-6862-0_61. |
99 | A. Jahnavi, B. Dushyanth Reddy, M. Kommineni, A. Haldorai, and B. Vasantha, “Election Tweets Prediction Using Enhanced Cart and Random Forest,” Lecture Notes in Networks and Systems, pp. 851–858, 2021, doi: 10.1007/978-981-33-4305-4_61. |
100 | “Preface: Proceedings of the 2021 3rd International Conference on Sustainable Manufacturing, Materials and Technologies (ICSMMT),” AIP Conference Proceedings, 2021, doi: 10.1063/12.0006708. |
101 | C.-Y. Yang, M. Sharif, S. D. Ravana, and A. Haldorai, “Big Cloud Innovation for Sustainable Wireless Management,” Wireless Personal Communications, vol. 117, no. 4, pp. 2641–2643, Feb. 2021, doi: 10.1007/s11277-021-08250-4. |
102 | A. Ramu, M.-Y. Chen, S. D. Ravana, and A. Haldorai, “Signal processing techniques for sustainable cognitive radio communications,” Wireless Networks, vol. 27, no. 2, pp. 839–841, Nov. 2020, doi: 10.1007/s11276-020-02503-z. |
103 | A. Haldorai and A. Ramu, “Security and channel noise management in cognitive radio networks,” Computers Electrical Engineering, vol. 87, p. 106784, Oct. 2020, doi: 10.1016/j.compeleceng.2020.106784. |
104 | A. Haldorai and A. Ramu, “Canonical Correlation Analysis Based Hyper Basis Feedforward Neural Network Classification for Urban Sustainability,” Neural Processing Letters, vol. 53, no. 4, pp. 2385–2401, Aug. 2020, doi: 10.1007/s11063-020-10327-3. |
105 | D. Devikanniga, A. Ramu, and A. Haldorai, “Efficient Diagnosis of Liver Disease using Support Vector Machine Optimized with Crows Search Algorithm,” EAI Endorsed Transactions on Energy Web, p. 164177, Jul. 2018, doi: 10.4108/eai.13-7-2018.164177. |
106 | A. Haldorai, A. Ramu, and M. Suriya, “Enterprise Architecture for IoT: Challenges and Business Trends,” EAI/Springer Innovations in Communication and Computing, pp. 123–138, 2020, doi: 10.1007/978-3-030-44407-5_6. |
107 | S. Murugan and A. Haldorai, “Role of Machine Intelligence and Big Data in Remote Sensing,” Advances in Data Mining and Database Management, pp. 118–130, 2020, doi: 10.4018/978-1-5225-9750-6.ch007. |
108 | A. Haldorai, A. Ramu, and M. Suriya, “Internet of Things (IoTs) Evolutionary Computation, Enterprise Modelling and Simulation,” EAI/Springer Innovations in Communication and Computing, pp. 1–26, 2020, doi: 10.1007/978-3-030-44407-5_1. |
109 | A. Roshini, V. D. V. sai, S. D. Chowdary, M. Kommineni, and H. Anandakumar, “An Efficient SecureU Application to Detect Malicious Applications in Social Media Networks,” 2020 6th International Conference on Advanced Computing and Communication Systems (ICACCS), Mar. 2020, doi: 10.1109/icaccs48705.2020.9074169. |
110 | M. S. Mrutyunjaya, R. Arulmurugan, and H. Anandakumar, “A Study on Varıous Bıo-Inspıred Algorıthms for Intellıgent Computatıonal System,” New Trends in Computational Vision and Bio-inspired Computing, pp. 1533–1540, 2020, doi: 10.1007/978-3-030-41862-5_157. |
111 | A. Haldorai, A. Ramu, and M. Suriya, “Organization Internet of Things (IoTs): Supervised, Unsupervised, and Reinforcement Learning,” EAI/Springer Innovations in Communication and Computing, pp. 27–53, 2020, doi: 10.1007/978-3-030-44407-5_2. |
112 | A. Haldorai, A. Ramu, and M. Suriya, “Internet of Things (IoTs) Evolutionary Computation, Enterprise Modelling and Simulation,” EAI/Springer Innovations in Communication and Computing, pp. 1–26, 2020, doi: 10.1007/978-3-030-44407-5_1.- doi no not correct and author |
113 | A. Haldorai, A. Ramu, and S. Murugan, Computing and Communication Systems in Urban Development. Springer International Publishing, 2019. doi: 10.1007/978-3-030-26013-2. |
114 | “Preface: Proceedings of the 2020 2nd International Conference on Sustainable Manufacturing, Materials and Technologies (ICSMMT),” AIP Conference Proceedings, 2020, doi: 10.1063/12.0001365. |
115 | “Preface: Proceedings of the 2019 1st International Conference on Sustainable Manufacturing, Materials and Technologies,” AIP Conference Proceedings, 2020, doi: 10.1063/12.0000212. |
116 | A. Haldorai, “International journal of intelligent networks,” International Journal of Intelligent Networks, vol. 1, p. 157, 2020, doi: 10.1016/j.ijin.2020.12.005. |
117 | A. H, “Analysis of Artificial Intelligence in Future Industrial Applications,” Journal of Advanced Research in Dynamical and Control Systems, vol. 11, no. 10, pp. 205–210, Oct. 2019, doi: 10.5373/jardcs/v11i10/20193162. |
118 | A. H. and A. R., “Next generation Wireless Communication Networks for Smart Grid,” 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Dec. 2019, doi: 10.1109/i-smac47947.2019.9032484. |
119 | A. H. and A. R., “Next Generation Wireless Communication Challenges and Issues,” 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Dec. 2019, doi: 10.1109/i-smac47947.2019.9032546. |
120 | A. H. and A. R., “Machine learning based Multi Agent Systems in Complex Networks,” 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Dec. 2019, doi: 10.1109/i-smac47947.2019.9032619. |
121 | A. H. and A. R., “A Graphic Model, Simulators and Formal Evaluation of Protocols For Wireless Communication,” 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Dec. 2019, doi: 10.1109/i-smac47947.2019.9032637. |
122 | A. H. and A. R., “Artificial Intelligence for Cognitive Telecommunication Network,” 2019 Third International conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Dec. 2019, doi: 10.1109/i-smac47947.2019.9032539. |
123 | A. H and A. R, “Artificial Intelligence and Machine Learning for Enterprise Management,” 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), Nov. 2019, doi: 10.1109/icssit46314.2019.8987964. |
124 | A. H and A. R, “A Detailed Analysis of Big Data Analytics Challenges and Opportunities,” 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), Nov. 2019, doi: 10.1109/icssit46314.2019.8987939. |
125 | H. Anandakumar, R. Arulmurugan, and A. Roshini, “Intelligent Vehicle System Problems and Future Impacts for Transport Guidelines,” 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), Nov. 2019, doi: 10.1109/icssit46314.2019.8987831. |
126 | H. Anandakumar and R. Arulmurugan, “Autonomous and Automated Vehicles – The Future Transportation Systems,” 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), Nov. 2019, doi: 10.1109/icssit46314.2019.8987795. |
127 | H. Anandakumar, R. Arulmurugan, and A. Roshini, “Analysis of Cloud Based Simulation Methods and Optimization Algorithms,” 2019 International Conference on Smart Systems and Inventive Technology (ICSSIT), Nov. 2019, doi: 10.1109/icssit46314.2019.8987822. |
128 | S. Deepak and H. Anandakumar, “AODV Route Discovery and Route Maintenance in MANETs,” 2019 5th International Conference on Advanced Computing Communication Systems (ICACCS), Mar. 2019, doi: 10.1109/icaccs.2019.8728456. |
129 | A. Haldorai, A. Ramu, and S. Murugan, Computing and Communication Systems in Urban Development. Springer International Publishing, 2019. doi: 10.1007/978-3-030-26013-2. |
130 | A. Haldorai and U. Kandaswamy, Intelligent Spectrum Handovers in Cognitive Radio Networks. Springer International Publishing, 2019. doi: 10.1007/978-3-030-15416-5. |
131 | A. Haldorai, A. Ramu, and S. Murugan, “Cognitive Radio Communication and Applications for Urban Spaces,” Computing and Communication Systems in Urban Development, pp. 161–183, 2019, doi: 10.1007/978-3-030-26013-2_8. |
132 | A. Haldorai, A. Ramu, and S. Murugan, “Social Relationship Ranking on the Smart Internet,” Computing and Communication Systems in Urban Development, pp. 141–159, 2019, doi: 10.1007/978-3-030-26013-2_7. |
133 | A. Haldorai, A. Ramu, and S. Murugan, “Artificial Intelligence and Machine Learning for Future Urban Development,” Computing and Communication Systems in Urban Development, pp. 91–113, 2019, doi: 10.1007/978-3-030-26013-2_5. |
134 | A. Haldorai, A. Ramu, and S. Murugan, “Mobile and Pervasive Computing for Urban Development,” Computing and Communication Systems in Urban Development, pp. 1–26, 2019, doi: 10.1007/978-3-030-26013-2_1. |
135 | A. Haldorai, A. Ramu, and S. Murugan, “Energy Efficient Network Selection for Urban Cognitive Spectrum Handovers,” Computing and Communication Systems in Urban Development, pp. 115–139, 2019, doi: 10.1007/978-3-030-26013-2_6. |
136 | A. Haldorai, A. Ramu, and S. Murugan, “Smart Sensor Networking and Green Technologies in Urban Areas,” Computing and Communication Systems in Urban Development, pp. 205–224, 2019, doi: 10.1007/978-3-030-26013-2_10. |
137 | A. Haldorai, A. Ramu, and S. Murugan, “Biomedical Informatics and Computation in Urban E-health,” Computing and Communication Systems in Urban Development, pp. 69–89, 2019, doi: 10.1007/978-3-030-26013-2_4. |
138 | A. Haldorai, A. Ramu, and S. Murugan, “Signal Processing Architectures, Algorithms, and Human–Machine Interactions in Urban Applications,” Computing and Communication Systems in Urban Development, pp. 49–67, 2019, doi: 10.1007/978-3-030-26013-2_3. |
139 | A. Haldorai, A. Ramu, and S. Murugan, “Web Intelligence and Data Mining in Urban Areas,” Computing and Communication Systems in Urban Development, pp. 27–47, 2019, doi: 10.1007/978-3-030-26013-2_2. |
140 | A. Haldorai and U. Kandaswamy, “Software Radio Architecture: A Mathematical Perspective,” EAI/Springer Innovations in Communication and Computing, pp. 65–86, 2019, doi: 10.1007/978-3-030-15416-5_4. |
141 | A. Haldorai and U. Kandaswamy, “Dynamic Spectrum Handovers in Cognitive Radio Networks,” EAI/Springer Innovations in Communication and Computing, pp. 111–133, 2019, doi: 10.1007/978-3-030-15416-5_6. |
142 | A. Haldorai and U. Kandaswamy, “Energy Efficient Network Selection for Cognitive Spectrum Handovers,” EAI/Springer Innovations in Communication and Computing, pp. 41–64, 2019, doi: 10.1007/978-3-030-15416-5_3. |
143 | A. Haldorai and U. Kandaswamy, “Green Wireless Communications Via Cognitive Handover,” EAI/Springer Innovations in Communication and Computing, pp. 155–174, 2019, doi: 10.1007/978-3-030-15416-5_8. |
144 | A. Haldorai and U. Kandaswamy, “Distributed Algorithms for Learning and Cognitive Medium,” EAI/Springer Innovations in Communication and Computing, pp. 87–109, 2019, doi: 10.1007/978-3-030-15416-5_5. |
145 | A. Haldorai and U. Kandaswamy, “Secure Distributed Spectrum Sensing in Cognitive Radio Networks,” EAI/Springer Innovations in Communication and Computing, pp. 175–191, 2019, doi: 10.1007/978-3-030-15416-5_9. |
146 | A. Haldorai and U. Kandaswamy, “Applications and Services of Intelligent Spectrum Handover,” EAI/Springer Innovations in Communication and Computing, pp. 193–210, 2019, doi: 10.1007/978-3-030-15416-5_10. |
147 | A. Haldorai and U. Kandaswamy, “Supervised Machine Learning Techniques in Intelligent Network Handovers,” EAI/Springer Innovations in Communication and Computing, pp. 135–154, 2019, doi: 10.1007/978-3-030-15416-5_7. |
148 | A. Haldorai and U. Kandaswamy, “Intelligent Cognitive Radio Communications: A Detailed Approach,” EAI/Springer Innovations in Communication and Computing, pp. 19–40, 2019, doi: 10.1007/978-3-030-15416-5_2. |
149 | S. Murugan and Anandakumar H., “Study of Efficient Hybrid Wireless Networks Using QoS-Oriented Distributed Routing Protocol,” Cognitive Social Mining Applications in Data Analytics and Forensics, pp. 213–235, 2019, doi: 10.4018/978-1-5225-7522-1.ch011. |
150 | S. Murugan and Anandakumar H., “Privacy Information Leakage Prevention in Cognitive Social Mining Applications,” Cognitive Social Mining Applications in Data Analytics and Forensics, pp. 188–212, 2019, doi: 10.4018/978-1-5225-7522-1.ch010. |
151 | H. Anandakumar, K. Umamaheswari, and R. Arulmurugan, “A Study on Mobile IPv6 Handover in Cognitive Radio Networks,” Lecture Notes on Data Engineering and Communications Technologies, pp. 399–408, Sep. 2018, doi: 10.1007/978-981-10-8681-6_36. |
152 | H. . Anandakumar, R. Arulmurugan, and C. C. Onn, “Big Data Analytics for Sustainable Computing,” Mobile Networks and Applications, vol. 24, no. 6, pp. 1751–1754, Oct. 2019, doi: 10.1007/s11036-019-01393-6. |
153 | H. Anandakumar, R. Arulmurugan, and C. C. Onn, Eds., Computational Intelligence and Sustainable Systems. Springer International Publishing, 2019. doi: 10.1007/978-3-030-02674-5. |
154 | V. Joevivek et al., “Spatial and temporal correlation between beach and wave processes: implications for bar–berm sediment transition,” Frontiers of Earth Science, vol. 12, no. 2, pp. 349–360, Jun. 2017, doi: 10.1007/s11707-017-0655-y. |
155 | R. Arulmurugan and H. Anandakumar, “Region-based seed point cell segmentation and detection for biomedical image analysis,” International Journal of Biomedical Engineering and Technology, vol. 27, no. 4, p. 273, 2018, doi: 10.1504/ijbet.2018.094296. |
156 | R. Arulmurugan and H. Anandakumar, “Early Detection of Lung Cancer Using Wavelet Feature Descriptor and Feed Forward Back Propagation Neural Networks Classifier,” Lecture Notes in Computational Vision and Biomechanics, pp. 103–110, 2018, doi: 10.1007/978-3-319-71767-8_9. |
157 | A. Haldorai, A. Ramu, and S. Murugan, “Social Aware Cognitive Radio Networks,” Social Network Analytics for Contemporary Business Organizations, pp. 188–202, 2018, doi: 10.4018/978-1-5225-5097-6.ch010. |
158 | A. Haldorai and U. Kandaswamy, “Cooperative Spectrum Handovers in Cognitive Radio Networks,” EAI/Springer Innovations in Communication and Computing, pp. 1–18, 2019, doi: 10.1007/978-3-030-15416-5_1. |
159 | A. Haldorai and A. Ramu, “An Intelligent-Based Wavelet Classifier for Accurate Prediction of Breast Cancer,” Research Anthology on Medical Informatics in Breast and Cervical Cancer, pp. 739–753, Jul. 2022, doi: 10.4018/978-1-6684-7136-4.ch039. |
160 | A. Haldorai and A. Ramu, “The Impact of Big Data Analytics and Challenges to Cyber Security,” Research Anthology on Big Data Analytics, Architectures, and Applications, pp. 1216–1230, 2022, doi: 10.4018/978-1-6684-3662-2.ch058. |
161 | H. Anandakumar and K. Umamaheswari, “A bio-inspired swarm intelligence technique for social aware cognitive radio handovers,” Computers Electrical Engineering, vol. 71, pp. 925–937, Oct. 2018, doi: 10.1016/j.compeleceng.2017.09.016. |
162 | H. Anandakumar and K. Umamaheswari, “An Efficient Optimized Handover in Cognitive Radio Networks using Cooperative Spectrum Sensing,” Intelligent Automation Soft Computing, pp. 1–8, Sep. 2017, doi: 10.1080/10798587.2017.1364931. |
163 | H. Anandakumar and K. Umamaheswari, “Supervised machine learning techniques in cognitive radio networks during cooperative spectrum handovers,” Cluster Computing, vol. 20, no. 2, pp. 1505–1515, Mar. 2017, doi: 10.1007/s10586-017-0798-3. |
164 | S. Nandni, R. Subashree, T. Tamilselvan, E. Vinodhini, and H. Anandakumar, “A study on cognitive social data fusion,” 2017 International Conference on Innovations in Green Energy and Healthcare Technologies (IGEHT), Mar. 2017, doi: 10.1109/igeht.2017.8094075. |
165 | A. Haldorai, A. Ramu, and S. Murugan, “Social Aware Cognitive Radio Networks,” Social Network Analytics for Contemporary Business Organizations, pp. 188–202, 2018, doi: 10.4018/978-1-5225-5097-6.ch010. |
166 | H. Anandakumar and K. Nisha, “Enhanced multicast cluster-based routing protocol for delay tolerant mobile networks,” International Journal of Information and Communication Technology, vol. 7, no. 6, p. 676, 2015, doi: 10.1504/ijict.2015.072090. |
167 | Dhivya V., Anandakumar H, and Sivakumar M, “An effective group formation in the cloud based on Ring signature,” 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO), Jan. 2015, doi: 10.1109/isco.2015.7282366. |
168 | A. Roshini and H. Anandakumar, “Hierarchical cost-effective leach for heterogeneous wireless sensor networks,” 2015 International Conference on Advanced Computing and Communication Systems, Jan. 2015, doi: 10.1109/icaccs.2015.7324082. |
169 | S. Divya, H. Ananda Kumar, and A. Vishalakshi, “An improved spectral efficiency of WiMAX using 802.16G based technology,” 2015 International Conference on Advanced Computing and Communication Systems, Jan. 2015, doi: 10.1109/icaccs.2015.7324098. |
170 | Anandakumar, “Energy Efficient Network Selection Using 802.16g Based Gsm Technology,” Journal of Computer Science, vol. 10, no. 5, pp. 745–754, May 2014, doi: 10.3844/jcssp.2014.745.754. |
171 | K. Mythili and H. Anandakumar, “Trust management approach for secure and privacy data access in cloud computing,” 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Dec. 2013, doi: 10.1109/icgce.2013.6823567. |
172 | M. Suganya and H. Anandakumar, “Handover based spectrum allocation in cognitive radio networks,” 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Dec. 2013, doi: 10.1109/icgce.2013.6823431. |