| 1 | Harshini Lara A K, Dr. K. V. Uma,Addressing the Challenges in Retinal Disorder Prediction Using Transfer Learning Mechanism,Nanotechnology Perceptions (Scopus indexed -Q4) No.S1 -2024, 751–761 |
| 2 | Enhancing Educational Assessment: Predicting and Visualizing Student Performance using EDA and Machine Learning Techniques, Journal of Engineering Education Transformations, Vol.37 (Special Issue 2), pp. 240–245, 2024 |
| 3 | Enhancing Student Performance Prediction in Higher Education: A Data-Driven Approach, Journal of Engineering Education Transformations, Vol.37 (Special Issue 2), pp. 271–279, 2024 |
| 4 | Enhancing Student Performance Prediction in Higher Education: A Data-Driven Approach, Journal of Engineering Education Transformations, Vol.37 (Special Issue 2), pp. 271–279, 2024 |
| 5 | Abirami, A.M., Pudumalar, S. and Pandeeswari, S.T., 2023. Designing an Effective Teaching Learning Environment for an Undergraduate Software Engineering Course. International Journal of Adult Education and Technology (IJAET), 14(1), pp.1-21 |
| 6 | Prakash Hegade, AM Abirami, Rashpinder Kaur, Ashok Shettar, Understanding Technological Evolution in Teaching: A Qualitative Data Analysis, Journal of Engineering Education Transformations, vol. 37, no. 2, pp. 708-712, 2024 |
| 7 | D Anitha, C Jeyamala, AM Abirami, S Thiruvengadam, Creating teaching dynamics with In-house Faculty conclaves--a longitudinal study, Journal of Engineering Education Transformations, vol. 37, no. 2, pp.288-294, 2024 |
| 8 | S Karthiga, AM Abirami, Hybrid deep learning model for efficient prediction of telecom data using EMF radiation, Journal of Intelligent & Fuzzy Systems, vol. 44, no.3, 4257-4272, 2023. |
| 9 | K Vignesh, A Askarunisa, AM Abirami, Optimized Deep Learning Methods for Crop Yield Prediction, Computer Systems Science & Engineering, vol. 44, no. 2, 1051-1067, 2023 |
| 10 | ADTBO: Aquila driving training-based optimization with deep learning for skin cancer detection, The Imaging Science Journal, Taylor & Francis, pp.1-19, July 2023, DoI:10.1080/13682199.2023.2226894 (WoS Indexed, SJR Q2, Impact factor: 0.242) |
| 11 | Spinalnet-deep Q network with hybrid optimization for detecting autism spectrum disorder, Signal, Image and Video Processing, Springer London, Vol.17, Issue 8, pp.4305-4317, August 2023, DoI: 10.1007/s11760-023-02663-3 (WoS Indexed, SJR Q2, Impact factor: 2.73) |
| 12 | Network Intrusion Detection and Mitigation Using Hybrid Optimization Integrated Deep Q Network, Cybernetics and Systems, Taylor and Francis, Jan 2024, Vol.55, Issue 1, pp.107-123, https://doi.org/10.1080/01969722.2022.2088450 (WoS Indexed, SJR Q3, Impact factor: 1.88) |
| 13 | Genetic algorithm with self adaptive immigrants for effective virtual machine placement in cloud environment, International Journal of Intelligent Networks, vol.4, pp.155-161, 2023 |
| 14 | Heart disease severity level identification system on Hyperledger consortium network, PeerJ Computer Science, vol.9, e1626, 2023 |
| 15 | Enhancing personalized learning with explainable AI: A chaotic particle swarm optimization based decision support system, Applied Soft Computing, 156, 111451, 2024 |
| 16 | Enhancing Learner Engagement in Online Education through ADDG9E Model, Journal of Engineering Education Transformations, Vol.37 (Special Issue 2), pp. 54–61, 2024 |
| 17 | Predicting academic performance of learners with the three domains of learning data using neuro-fuzzy model and machine learning algorithms, Journal of Engineering Research, In press, https://doi.org/10.1016/j.jer.2023.09.006 |
| 18 | Arithmetic Optimization for Coinciding Diabetic Retinopathy and Diabetic Macular Edema Grading based on Self-Attention Convolutional Neural Network, Biomedical Signal Processing and Control, 95, 106365, 2024 |
| 19 | Enhancing Educational Assessment: Predicting and Visualizing Student Performance using EDA and Machine Learning Techniques, Journal of Engineering Education Transformations, 37(Special Issue 2), pp. 240–245, 2024 |
| 20 | S. Thiruchadai Pandeeswari, Jeyamala Chandrasekaran. and Pudumalar, S., 2024. Redesigning Laboratory Courses in Information Technology Program: An Inquiry Based Learning Approach. Journal of Engineering Education Transformations, 37(Special Issue 2). |
| 21 | S. Thiruchadai Pandeeswari, S. Padmavathi, D. Kabilan, B. Abhinav Krishna, Resource-aware fog service placement using deferred acceptance in edge computing, Journal of Engineering Research, 2024, https://doi.org/10.1016/j.jer.2024.03.003. |
| 22 | C Dharani, S Charulatha, M Suguna, "Transfer Learning based Diabetic Retinopathy Classification", International Journal of Computing and Digital Systems, 14(1), 2023 |
| 23 | T. Saranya, C. Deisy and S. Sridevi,"Efficient Agricultural Pest Classification using Vision Transformer with Hybrid Pooled Multihead Attention",Elsevier,Computers in Biology and Medicine,(Q1), 13 May 2024, |
| 24 | Santhiya,C and Padmavathi,S., "Bio-Inspired Crossover Cosine Swarm Optimization Algorithm Based Task Scheduling for Quality of Service Improvement Under Cloud Environment", Journal of Signal Processing systems,2024, 96(1), pp. 51–65, |
| 25 | Santhiya,C and Padmavathi,S., "An Efficient Optimised CNN-LSTM Forecasting Model for Combined Replication and Placement", Journal of Environmental Protection and Ecology, 2023,24(6) |
| 26 | Kalaiarasi A, Sridevi Subbiah, Subiksha G B, Ratchana S, Jaya Kumar K, Kannan S, Deisy C , “ "The Eye: A Light Weight Mobile Application for Visually ChallengedPeople Using Improved YOLOv5l Algorithm", accepted for publication in Emerging Science Journal, 2023, |
| 27 | Ensemble BiLSTM: A Novel Approach for Aspect Extraction From Online Text, in IEEE Access, vol. 12, pp. 3528-3539, 2024, doi: 10.1109/ACCESS.2023.3349203, |
| 28 | S. Thiruchadai Pandeeswari, S. Padmavathi, D. Kabilan, B. Abhinav Krishna, Resource-aware fog service placement using deferred acceptance in edge computing, Journal of Engineering Research, 2024, |
| Conferences |
| 1 | A Staying Time based Clustering Scheme for Mobile Ad Hoc Networks”, M.Sujatha, R.Surya, S.Muthuramalingam, R.Rajaram, Proceedings of National Conference on Intelligent Computing and Computation Networks” |
| 2 | S. Thiruchadai Pandeeswari, S. Padmavathi, Poornisha, Karpagalakshmi, B.Abhinav Krishna, "Adaptive Cloud Resource Provisioning by forecasting cloud workload", 10" International Conference on Business Analytics and Intelligence, IISc Bangalore |
| 3 | KRA Bhupesh, J Akil Arsath, AM Abirami, Multi-modal emotions detection service using deep learning techniques, INTERNATIONAL CONFERENCE ON APPLIED COMPUTATIONAL INTELLIGENCE AND ANALYTICS (ACIA-2022 |
| 4 | KG Thirumalai, K Sakthi Prakash, AM Abirami, E Ramanujam, S Sumitra, XAI-based Feature Selection for SMS Spam Classification in Dravidian Languages, IEEE 5th International Conference on Innovative Trends in Information Technology (ICITIIT), IIIT Kottayam, pp.1-6, 2024 |
| 5 | K Sakthi Prakash, AM Abirami, Supriya Singh, E Ramanujam, Performance Evaluation of Meta-data features for Spam SMS Classification using Sequential Models, IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), MANIT Bhopal, 2024 |
| 6 | A Shalini Christina, Berlin Shane Aishwarya L, A M Abirami, A Comparative Analysis of Social Network Epidemic Models, IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS), MANIT Bhopal, 2024. |
| 7 | Abirami, A. M., Leong, W. Q., Rengarajan, H., Anitha, D., Suganya, R., Singh, H., ... & Shah, R. (2024, May). Aalamaram: A Large-Scale Linguistically Annotated Treebank for the Tamil Language. In Proceedings of the 7th Workshop on Indian Language Data: Resources and Evaluation (pp. 73-83). |
| 8 | Srinidhi R G,Gokila Harini Krishna K ,Swetha S, Dr Uma K.V ,Hyperparameter tuning for recommendation algorithms, International Conference on Transforming Engineering Systems for Sustainability (TESS-2023) organized by Taylors University and Hindusthan Educational Instituitions on 29 and 20 November 2023 |
| 9 | Dr. K V Uma ,P.Sarvika,C Lakshmi Aiswarya , Analyzing User Sentiment and Extracting Insights: A Comparative Study of Online Food Quality and Hospitality Reviews , 56th Annual Convention of ORSI and 10th International Conference on Business Analytics and Intelligence,IISC Bangalore,18 -20 December ,2023 |
| 10 | Dr. K V Uma ,P.Sarvika,C Lakshmi Aiswarya ,K Jayaa Sri ”Decoding Cosmetic Ingredients: A Comprehensive Approach to ToxicityAnalysis and Safety Recommendations Using Advanced Machine Learning Models"in the Second International Conferenceon Recent Trends in Engineering and Technology (ICRTET 2024) held at Nandha Engineering College, Erode, Tamil Nadu,INDIA during 14 - 15, March 2024. |
| 11 | Brain Tumor Detection via Deep Learning Framework on MRI Images, 4th International Conference on Communication, Circuits, and Systems (IC3S-2023), Kalinga Institute of Industrial Technology,Deemed to be University,Bhubaneswar, Odisha,IEEE |
| 12 | Malware detection in Android Applications using static permissions, 5th International Conference on Inventive Research in Computing Applications (ICIRCA-2023), RVS College |
| 13 | Anomaly-based Intrusion Detection System for ICS, 2023 14th International Conference on Computing, Communication and Networking Technologies (14th ICCCNT 2023), July 6th - 8th, 2023, Indian Institute of Technology-Delhi, India. |
| 14 | CopulaGAN Boosted Random Forest Based Network Intrusion Detection System for Hospital Network Infrastructure, 2023 14th International Conference on Computing, Communication and Networking |
| 15 | Futuristic Diabetes Prediction: Employing Machine Learning for Timely Diagnosis,3rd International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication and Computational Intelligence (RAEEUCCI-3.0), April 17th-18th,2024 |
| 16 | Quantum Insights into MNIST Classification: A Comparative analysis of adversarial Resilience,5th International Conference on Data, Engineering and Applications 2024 (IDEA-2k24), School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal |
| 17 | Adaptive Web Design using Unsupervised Clustering & Sequential Pattern Mining on Clickstream Data,5th International Conference on Data, Engineering and Applications 2024 (IDEA-2k24), School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal |
| 18 | hybrid PSO-ACO based optimized feature selection for diabetes prediction,5th International Conference on Data, Engineering and Applications 2024 (IDEA-2k24), School of Information Technology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal |
| 19 | Automatic Marks Identification from Test Notes using Deep Learning Algorithm, International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2023 |
| 20 | Malicious Anomaly Detection and Prediction using Prophet Luminol and RNN, IEEE International Conference on Multidisciplinary Research in Technology and Management (MRTM), 2023 |
| 21 | Cotton Leaf Disease Classification using Deep Learning, IEEE International Conference on Multidisciplinary Research in Technology and Management (MRTM), 2023 |
| 22 | Student Behavior Analysis in Classroom using Facial Emotion Recognitions and Graph Visualizations, International Conference on Intelligent Computing Systems and Applications (ICICSA), 2023 |
| 23 | Revealing the Importance of Local and Global Interpretability in Smartphone based Human Activity Recognition, IEEE Students Conference on Engineering and System, 2024 |
| 24 | Innovative pathways: Industry engagement in shaping the future of engineering education, International Conference on SDG 17 (ICSDG), 2023 |
| 25 | Vijaya Praba P,Deisy C,Tamilselvi D,"Analysing Facial Emotions for Children with Autism" The 14th International Conference on Computing, Communication And Networking Technologies (ICCCNT),IIT Delhi,India,6-8 July2023 |
| 26 | S.Sujitha, G.Ashwini, “A detailed study of Fault tolerance in SDNController”, ICIDS-2017, PSG College of Technology, Coimbatore |
| 27 | Thiagarajan P, Suguna M, "Intelligent Papilledema Detector (IPD)", In 2023 International Conference on Advances in Intelligent Computing and Applications, AICAPS 2023, pp. 1-6, IEEE |
| 28 | Fathima Safa KU, Suguna M, "Subduing Crime and Threat in Real-Time by Detecting Weapons Using Yolov8," International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India, 2023, pp |
| 29 | G Sidharth, Abijeeth Vasra, S Sridevi, C Deisy, and MKA Ahamed Khan, "Automation of Grievance Registration using Transfer Learning",2023 3rd International Conference on Innovative Practices in Technology and Management (ICIPTM),pp:1-6,DOI:10.1109/ICIPTM57143.2023. |
| 30 | Bhuvaneshwaran A ,C,Deisy and S.Sridevi, "Sentimental Analysis Using Deep Learning Models" 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE),IEEE Publishers,2024 |
| 31 | S. Thiruchadai Pandeeswari, S. Padmavathi, Poornisha, Karpagalakshmi, B.Abhinav Krishna, "Adaptive Cloud Resource Provisioning by forecasting cloud workload", International Conference on Business Analytics and Intelligence, IISc Bangalore, 18th to 20th December 2023 |
| 32 | Moorthy, T.S.D., Nimalan, N., Sridevi, S., Nevetha, B. (2024). Prevention Equipment for COVID-19 Spread Using IoT and Multimedia-Based Solutions. In: Swaroop, A., Polkowski, Z., Correia, S.D., Virdee, B. (eds) Proceedings of Data Analytics and Management. ICDAM 2023. |
| 33 | T. Saranya, C. Deisy and S. Sridevi, "Classical-Quantum Computing Model with MobileNet for Precise Pest Classification," 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE), Madurai, India, 2023, |
| Books |
| 1 | Optimized Traffic Management in Software Defined Networking, Das et al.(Eds), Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023, Communications in Computer and Information Science, Volume 1, pp.157-168, Springer Cham, 2024 |
| 2 | Load Balancing and Energy Efficient Routing in Software-Defined Networking, Das et al.(Eds), Advanced Computing, Machine Learning, Robotics and Internet Technologies, AMRIT 2023, Communications in Computer and Information Science, Volume 1, pp.243-261, Springer Cham, 2024 |
| 3 | Thangavel Murugan, P Karthikeyan, AM Abirami, Book Chapter titled Proctoring Tools and Techniques for Ensuring the Integrity of Online Assessments in the book Engaging Higher Education Teachers and Students With Transnational Leadership, IGI Global, pp.144-164, 2024. |
| 4 | Thiagarajan P & Suguna M, "Deep Learning Ocular Disease Detection System (ODDS)", International Conference on Mining Intelligence and Knowledge Exploration (pp. 213-224), MIKE 2023, Lecture Notes in Computer Science book series, (LNAI) vol 13924, ISBN978-3-031-44083-0, Springer, Cham |
| 5 | N.B. Balamurugan, M. Suguna, M. Hemalatha, "Modeling of Gate Engineered TFET: Challenges and Opportunities", In Book: Tunneling Field Effect Transistors, 1st Edition, 2023, CRC Press |
| 6 | Ananthi G, Sridevi S, Manikandan T, “Environment Twin based Deep learning model using Reconfigurable Holographic Surface for user location prediction”, accepted in Artificial Intelligence in IoT and Cyborgization, Springer, 2023. |
