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Adhavan, B (2023) A novel deep learning-based approach for detecting attacks in social IoT. Soft Computing. ISSN 1432-7643

Allwin, R and Rakesh, S and Shobin Ferry, P and Aishwarya, C and Sathiyanathan, M (2025) Automated Sand Mold Surface Detection and Preparation via Deep Learning with Edge and Depth Estimation. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-5.

Anantha Prabha, P (2025) Extreme Kernel Machine (EKM)-based slim network for accurate fish species recognition to mitigate its extinction. Engineering Research Express, 7 (3): 035250. ISSN 2631-8695

Aramuthakannan, S and Lokesh, S (2023) Movie recommendation system using taymon optimized deep learning network. Journal of Intelligent & Fuzzy Systems, 45 (5). pp. 7675-7690. ISSN 10641246

Aramuthakannan, S and Lokesh, S and Manimegalai, R (2023) Movie recommendation system via fuzzy decision making based dual deep neural networks. Journal of Intelligent & Fuzzy Systems, 44 (3). pp. 5481-5494. ISSN 10641246

Archana, D (2024) Enhanced Framework for Concurrent correction and Segmentation in Retinal Optical Coherence Tomography. 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT). pp. 1-6.

Archana, D (2026) SPOT IP Faults: Identifying Intermittent and Parametric Faults in Analog Circuits via Beluga Whale Optimization Driven Graph Attention Capsule Network. Journal of Circuits, Systems and Computers. ISSN 0218-1266

Archana, D and Naveen, R S and Janarthanan, K and Ragavendran, R M (2023) Automated Classification of Chest Image Using Deep Learning. 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 167-172.

Asha, J (2024) Fake Review Detectionusing Enhanced Random Forest. 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). pp. 2157-2160.

B

Baskaran, J (2022) Automation of Traffic Control Systems with Deep Q-Learning Network. 2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS). pp. 1-6.

Bavithra, K (2023) Optimizing Supply Chain Efficiency: Integrating Deep Learning and Blockchain Technologies. 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 113-118.

Bavithra, K and Nandhini, B and Ruth Jeba Kumari, S and Sirpikadevi, M and Sugassini, M (2022) Plant Disease Detection and Classification Using Deep Learning CNN Algorithms. 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT). pp. 1-6.

Bhuvana, S and Anjhanaa, A A and Bala Keerthana, K K B and Sivadharshini, K (2022) Covid-19 Detection using Chest X-Rays with Image based Deep Learning. 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). pp. 823-828.

G

Gnanavel, V K and Baskaran, J (2022) An optimal deep learning based Islanding power quality detection technique for distributed generation systems. Journal of Intelligent & Fuzzy Systems, 43 (4). pp. 4071-4081. ISSN 10641246

Gomathi, B (2024) Advancement in physical education teaching and assessment based on human-computer interaction with deep learning. In: Digital Analytics Applications for Sustainable Training and Education. Apple Academic Press, New York, pp. 377-398. ISBN 9781032713366

Gomathi, B (2024) Deep Learning-Based Smart Healthcare System for Patient's Discomfort Detection: Trends, Challenges and Applications. In: Deep Learning for Smart Healthcare. Auerbach Publications, Boca Raton, pp. 107-128. ISBN 9781003469605

Gomathy, B (2025) Design of a hybrid learning model for establishing consistency in smart grid environment. Scientific Reports, 15 (1). ISSN 2045-2322

Gomathy, B (2025) Optimized deep learning models for stress-based stroke prediction from EEG signals. Discover Applied Sciences, 7 (6). ISSN 3004-9261

H

Harshavardhini, U (2024) Development of Virtual Reality Platform through Human Computer Interaction using Artificial Intelligence. 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC). pp. 283-288.

Hemkiran, S and Pradeepa, T and Samukthaa, R S and Ajay Raj, R (2023) Analysis of various Classification Techniques using CNN models for the Detection of Alzheimer’s Disease using MRI images. 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). pp. 1-6.

I

Iswarya, N and Princy Beatrice, R and Deva Dharani, P (2025) Deep Learning Based Autism Prediction Using Facial Cues in Early Childhood. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-8.

J

Jayasanthi, M (2021) Independent component analysis with learning algorithm for electrocardiogram feature extraction and classification. Signal, Image and Video Processing, 15 (2). pp. 391-399. ISSN 1863-1703

Jeyashree, A and Subash Kumar, C S and Mokshitha, Jayachandran and Niveditha, A V S and Santhosh, M (2025) Optidepth:Edge-AI Optimized Monocular Depth Estimation for Real-Time Heavy Machinery Safety. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-6.

Jothibasu, M and Sowmiya, M and Harsha, R and Naveen, K S and Suriyaprakash, T B (2023) Improvement of computer vision-based elephant intrusion detection system (EIDS) with deep learning models. In: Innovative Engineering with AI Applications. Wiley Blackwell, pp. 131-153. ISBN 9781119792161

Jothibasu, M and Vallisa, R and Abinaya, S and Abishek, M (2025) Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection. 2025 International Conference on Computational Innovations and Engineering Sustainability (ICCIES). pp. 1-7.

K

Karthigha, M (2026) Deep Learning for Network Intrusion Detection: Attention-Based Bidirectional Modified Gated Recurrent Unit. In: Innovation and Sustainability for Automation, Aerospace, and Robotics. STAAAR 2024. Springer, Singapore, pp. 141-155. ISBN 9789819693740

Krishneth, A and Dharaneesh, J D and Jisnu, S and Sivaganesan, D (2023) Web-plugin to Detect Clickbait in News Articles using RNN and LSTM. 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA). pp. 415-420.

L

Lokesh, S (2025) Deep-APT: deep learning based efficient accident prevention technique in fogged environment. Signal, Image and Video Processing, 19 (5): 417. ISSN 1863-1703

Lokesh, S (2024) Deep-KEDI: Deep learning-based zigzag generative adversarial network for encryption and decryption of medical images. Technology and Health Care, 32 (5). pp. 3231-3251. ISSN 09287329

Lokesh, S (2024) Enhanced Lung Cancer Diagnosis and Staging With HRNeT : A Deep Learning Approach. International Journal of Imaging Systems and Technology, 34 (6). ISSN 0899-9457

Lokesh, S (2023) Jacobian linear regression and Tate Bryant Euler angle enabled autonomous vehicle LiFi communication sustained IOT. Automatika, 64 (4). pp. 1095-1106. ISSN 0005-1144

M

Maha Vishnu, V C and Vikhas, S G and Shyamganesh, T and Roopakumar, S and Kavin, S V (2023) Pattern Recognition Algorithm to Detect Suspicious Activities. 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS). pp. 651-656.

Malar, E (2022) Beamforming design with fully connected analog beamformer using deep learning. International Journal of Communication Systems, 35 (7): e5109. ISSN 1074-5351

Malar, E and Subhiksha, S and Nandhakumar, G (2023) A 5 Class Classification of ECG Using SRCNN and CNN Using MIT-BIH Arrhythmia Dataset. 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 231-236.

Manimegalai, R and Ramya, A and Swedha, S U and Pruthvi, M and Lokesh, S (2022) Deep Learning Based Approach for Identification of Parkinson’s Syndrome. 2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET). pp. 335-341.

P

Pavithra, C V and Amalan Joseph, J and Enbharajan, M and Nantha Kumar, S and Savitha, S (2025) Energy Recovery and Torque Ripple Minimization in SRM Drives for Textile Industries. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-8.

Prasanna Rahavendra, A and Praneash, G P and Rashmika, T and Aravindhraj, N (2022) Forest Fire Detection using Computer Vision. 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC). pp. 1094-1103.

R

Raju, J and Anand, Krteen and Krishna Kumar, D and Sivaganesan, D (2023) Brain Tumor Identification and Classification Using Enhanced Convolution Neural Network. 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA). pp. 471-478.

S

Sankarasubramanian, R S (2024) Facial Emotion Recognition Using Deep Learning. In: Intelligent Computing for Sustainable Development (ICICSD 2023). Communications in Computer and Information Science (2121). Springer, Singapore, pp. 109-123. ISBN 9783031612879

Sankarasubramanian, R S (2024) Security and Privacy Considerations in Multimedia Resource Management Using Hybrid Deep Learning Techniques in Cloud Computing. International Journal of Intelligent Engineering and Systems, 17 (3). pp. 239-249. ISSN 21853118

Santhanamari, G (2023) Advancements in Imaging Technologies for Enhanced Cardiac Diagnostics: A Comprehensive Review. 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 501-506.

Saranya, S S (2024) An Ensembled Real-Time Hand-Gesture Recognition using CNN. 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT). pp. 1-5.

Saranya, S S (2025) Real-Time Facial Recognition System for Secure College Bus Transport using Deep Learning Techniques. 2025 International Conference on Electronics and Renewable Systems (ICEARS). pp. 1355-1362.

Sathya, Balaji (2025) ECLNet - A Lightweight CNN-LSTM Fusion Network with Adaptive Feature Pruning for Real-Time Intrusion Detection in Edge-IoT Environments. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-7.

Sathya Balaji, Balaji and Amirthaa, B and Koushika Purna, Velamati and Shruthi, R (2025) Optimizing Object Detection in Self-Driving Cars: A Fusion of Faster R-CNN and XGBoost. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-18.

Senthilkumar, M (2023) Comprehensive Experimental Evaluation of Open Source Deep Learning Framework for Single Image Deraining Applications. 2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT). pp. 1-7.

Senthilkumar, M (2023) Performance Investigation of Generalized Rain Pattern Absorption Attention Network for Single-Image Deraining. Journal of Circuits, Systems and Computers, 32 (13). ISSN 0218-1266

Shabariram, C P and Mathuranathan, R and Shiva, V (2025) MedGenie: Integrating Deep Learning and Cloud Services for Intelligent Diagnosis and Connected Healthcare. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-5.

Shabariram, C P and Priya Ponnuswamy, P and Sathana, V (2024) Resource Allocation in Edge Computing Environment Using Deterministic Policy Gradient Algorithm. 2024 10th International Conference on Advanced Computing and Communication Systems (ICACCS). pp. 473-478.

Shanmugapriya, P and Kavitha, M N (2025) Sleep Disorder Prediction Using CNN and Bidirectional LSTM. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-8.

Sivaganesan, D and Venkateshwaran, M (2023) Image to Audio Conversion to Aid Visually Impaired People by CNN. 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC). pp. 1707-1713.

Sowmiya, M (2021) Deep Learning in Smart Applications: Approaches and Challenges. In: Challenges and Solutions for Sustainable Smart City Development. Springer, pp. 49-73. ISBN 9783030701826

Sowmiya, M and Dheepak, S and Hari Krishna, R and Athish, R S (2024) Classification of Cardiovascular Diseases from Magnetic Resonance Imaging using Classifiers. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 528-533.

Sowmiya, M and Malar, E and Sudharshana, M K (2025) Classification of Cardiomyopathy Conditions Using Convolutional Neural Network. 2025 Second International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM). pp. 1-4.

Sridhar, P (2026) EfficientNet for Enhanced Detection of Medicinal Plants: A Deep Learning Approach. In: Smart System for Integrated Computing and Communication. Springer, Singapore, pp. 177-190.

Susithra, N and Santhanamari, G and Deepa, M and Reba, P (2021) Deep Learning-Based Activity Monitoring for Smart Environment Using Radar. In: Challenges and Solutions for Sustainable Smart City Development. EAI/Springer Innovations in Communication and Computing . Springer, pp. 91-123. ISBN 9783030701833

V

Vaishnavi, S and Vibhav Krishnan, K S and Manimegalai, R and Shruti, C S (2025) A Hybrid Approach for Understanding Animal Behavior Using Deep Learning Techniques. 2025 International Conference on Emerging Smart Computing and Informatics (ESCI). pp. 1-6.

Venkatesh, D and Surya, R and Thiru Murugan, A and Parishith, A I and Thanwanth, V G (2025) Non-Destructive Testing of Printed Circuit Boards Using Ultrasonic Imaging and CNNs. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-6.

Vetrivelan, P and Gopika, G and Mekanya, M and Pradeepika, N and Tharunika, G R (2025) Biometric Based Blood Group Identification. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-7.

Vetrivelan, P and Sanjay, K and Shreedhar, G D and Keerthana Vasan, S and Nithyan, R (2024) Brain Tumor Detection and Classification Using Deep Learning. 2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC). pp. 1-6.

Vijayakumar, P (2025) Enriched lung cancer classification approach using an optimized hybrid deep learning approach. Scientific Reports, 15 (1). ISSN 2045-2322

Vilasini, V (2024) Diabetic Foot Ulcer Detection using Deep Learning Approaches. 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC). pp. 1-8.

Vilasini, V and Harsith, S and Vibhav Krishnan, K S (2025) A Resource-Conscious Approach to Hindi Handwritten Word Recognition: A Comparative Study with Google Cloud Vision API. 2025 International Conference on Next Generation Computing Systems (ICNGCS). pp. 1-6.

Vilasini, V and Kiruthik Vishaal, S and Jaiprakash, R and Cibi Siddaarth, R (2023) MNIST Digit Classification using Parallelised Convolutional Neural Network. 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC). pp. 732-737.

Vilasini, V and Sandeep, V and Charan Venkatesh, Vishnu (2022) Deep Learning Techniques to Detect Learning Disabilities Among children using Handwriting. 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT). pp. 1710-1717.

Y

Yamuna, A and Selvakumar, D (2026) Towards accurate diabetic retinal disease detection using advanced deep metric learning. Biomedical Signal Processing and Control, 113. p. 109127. ISSN 17468094