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Latest Journals (Scopus indexed)

  1. G. Sivagami, K. Vidya and R. Geetharamani, A deep convolutional neural network architecture for breast mass classification using mammogram images, Journal of Autonomous Intelligence, 2024 A deep convolutional neural network architecture for breast mass classification using mammogram images (3) .
  2. A. Sekar and V. Perumal, A Novel SGD-U-Network-Based Pixel-Level Road Crack Segmentation and Classification, Computer Journal, 2023 A Novel SGD-U-Network-Based Pixel-Level Road Crack Segmentation and Classification (7) : pp1595-1608 .
  3. A.N. Kumar and G. Geetha, Recognizing Ancient South Indian Language Using Opposition Based Grey Wolf Optimization, Intelligent Automation and Soft Computing, 2023 Recognizing Ancient South Indian Language Using Opposition Based Grey Wolf Optimization (3) : pp2619-2637 .
  4. E.S. Smitha, S. Sendhilkumar and G.S. Mahalakshmi, Intelligence system for sentiment classification with deep topic embedding using N-gram based topic modeling, Journal of Intelligent and Fuzzy Systems, 2023 Intelligence system for sentiment classification with deep topic embedding using N-gram based topic modeling (1) : pp1539-1565 .
  5. E.S. Smitha, S. Sendhilkumar and G.S. Mahalakshmi, Ensemble Convolution Neural Network for Robust Video Emotion Recognition Using Deep Semantics, Scientific Programming, 2023 Ensemble Convolution Neural Network for Robust Video Emotion Recognition Using Deep Semantics .
  6. G. Anurekha and P. Geetha, Autism Gene Subset Selection from Microarray data - A Wrapper Approach, Journal of Scientific and Industrial Research, 2023 Autism Gene Subset Selection from Microarray data - A Wrapper Approach (8) : pp841-850 .
  7. G. Anurekha and P. Geetha, An Intelligent Hybrid Ensemble Gene Selection Model for Autism Using DNN, Intelligent Automation and Soft Computing, 2023 An Intelligent Hybrid Ensemble Gene Selection Model for Autism Using DNN (3) : pp3049-3064 .
  8. G. Augusta Kani and P. Geetha, Adaptive Weighted Flow Net Algorithm for Human Activity Recognition Using Depth Learned Features, Computer Systems Science and Engineering, 2023 Adaptive Weighted Flow Net Algorithm for Human Activity Recognition Using Depth Learned Features (2) : pp1447-1469 .
  9. G. Sangeetha and M. Vijayalakshmi, Weighted high priority packet transmission using ozmos bio-inspired mechanism for traffic load distribution (WH-DTO) in WSNs, Wireless Networks, 2023 Weighted high priority packet transmission using ozmos bio-inspired mechanism for traffic load distribution (WH-DTO) in WSNs (1) : pp29-45 .
  10. G.S. Mahalakshmi, G. Sunilkumar, S.F. Gilbert and S. Sendhilkumar, Classification of Family Domain of Amino Acid Sequences Using CNN-LSTM, Lecture Notes in Networks and Systems, 2023 Classification of Family Domain of Amino Acid Sequences Using CNN-LSTM : pp645-653 .
  11. G.S. Mahalakshmi, S. Hemadharsana, K. Srividhyasaradha and S. Sendhilkumar, Applying Topic Models for Finding N-Gram Entities in Biomedical Literature, Applications of Artificial Intelligence in the Healthcare Sector, 2023 Applying Topic Models for Finding N-Gram Entities in Biomedical Literature : pp91-108 .
  12. J.J. Iyda and P. Geetha, An improved deep belief neural network based civil unrest event forecasting in twitter, Applied Intelligence, 2023 An improved deep belief neural network based civil unrest event forecasting in twitter (5) : pp5714-5731 .
  13. K. Manimala and K. Selvi, Integrated DWT-DHT Feature Set for ABC Optimized SVM-Based PQ Classifier, Electric Power Components and Systems, 2023 Integrated DWT-DHT Feature Set for ABC Optimized SVM-Based PQ Classifier .
  14. M. Srivani, A. Murugappan and T. Mala, Cognitive computing technological trends and future research directions in healthcare — A systematic literature review, Artificial Intelligence in Medicine, 2023 Cognitive computing technological trends and future research directions in healthcare — A systematic literature review .
  15. M.A. Nasreen and S. Ravindran, Energy efficient two-stage capacity allocation scheme for WBAN healthcare applications, Ad Hoc Networks, 2023 Energy efficient two-stage capacity allocation scheme for WBAN healthcare applications .
  16. P. Dhanasekaran, E. Uma, A.V. Geetha and T. Mala, Deep learning-based object detection for computer vision tasks: A survey of methods and applications, Intelligent Systems and Applications in Computer Vision, 2023 Deep learning-based object detection for computer vision tasks: A survey of methods and applications : pp45-60 .
  17. P. Varalakshmi and A.P. Sankaran, An improved hybrid AI model for prediction of arrhythmia using ECG signals, Biomedical Signal Processing and Control, 2023 An improved hybrid AI model for prediction of arrhythmia using ECG signals .
  18. T. Nathezhtha, D. Sangeetha and V. Vaidehi, Social network malicious insider detection using time-based trust evaluation, Annales des Telecommunications/Annals of Telecommunications, 2023 Social network malicious insider detection using time-based trust evaluation (9-10) : pp585-597 .
  19. T. Nathezhtha, V. Vaidehi and D. Sangeetha, Detection of fraudulent marketing of consumer product in social networking services, Journal of Intelligent and Fuzzy Systems, 2023 Detection of fraudulent marketing of consumer product in social networking services (3) : pp4767-4775 .
  20. V.N.J. Robert and K. Vidya, Genetic algorithm optimized fuzzy decision system for efficient data transmission with deafness avoidance in multihop cognitive radio networks, Journal of Ambient Intelligence and Humanized Computing, 2023 Genetic algorithm optimized fuzzy decision system for efficient data transmission with deafness avoidance in multihop cognitive radio networks (2) : pp959-972 .
  21. A. Sekar and V. Perumal, CFC-GAN: Forecasting Road Surface Crack Using Forecasted Crack Generative Adversarial Network, IEEE Transactions on Intelligent Transportation Systems, 2022 CFC-GAN: Forecasting Road Surface Crack Using Forecasted Crack Generative Adversarial Network (11) : pp21378-21391 .
  22. A.A. Micheal and K. Vani, Deep Learning-Based Multi-class Multiple Object Tracking in UAV Video, Journal of the Indian Society of Remote Sensing, 2022 Deep Learning-Based Multi-class Multiple Object Tracking in UAV Video (12) : pp2543-2552 .
  23. A.V. Geetha and T. Mala, AREL – Augmented Reality–based enriched learning experience, Acta IMEKO, 2022 AREL – Augmented Reality–based enriched learning experience (3) .
  24. B. Anusha and P. Geetha, Identification of gene variant associated with Parkinson’s disease using genomic databases, Journal of Ambient Intelligence and Humanized Computing, 2022 Identification of gene variant associated with Parkinson’s disease using genomic databases (11) : pp5211-5224 .
  25. B. Anusha, P. Geetha and A. Kannan, Parkinson's disease identification in homo sapiens based on hybrid ResNet-SVM and resnet-fuzzy svm models, Journal of Intelligent and Fuzzy Systems, 2022 Parkinson's disease identification in homo sapiens based on hybrid ResNet-SVM and resnet-fuzzy svm models (3) : pp2711-2729 .
  26. B. Srinivasan and R. Parthasarathi, A Formalism to Specify Unambiguous Instructions Inspired by Mīmāṁsā in Computational Settings, Logica Universalis, 2022 A Formalism to Specify Unambiguous Instructions Inspired by Mīmāṁsā in Computational Settings (1-2) : pp27-55 .
  27. D. Sangeetha, S. Selvi and A. Keerthana, A Trust-Based Handover Authentication in an SDN 5G Heterogeneous Network, Lecture Notes on Data Engineering and Communications Technologies, 2022 A Trust-Based Handover Authentication in an SDN 5G Heterogeneous Network : pp841-852 .
  28. D. Sangeetha, S.S. Chakkaravarthy, S.C. Satapathy, V. Vaidehi and M.V. Cruz, Multi keyword searchable attribute based encryption for efficient retrieval of health Records in Cloud, Multimedia Tools and Applications, 2022 Multi keyword searchable attribute based encryption for efficient retrieval of health Records in Cloud (16) : pp22065-22085 .
  29. D. Suvitha and M. Vijayalakshmi, Vehicle Density Prediction in Low Quality Videos with Transformer Timeseries Prediction Model (TTPM), Computer Systems Science and Engineering, 2022 Vehicle Density Prediction in Low Quality Videos with Transformer Timeseries Prediction Model (TTPM) (1) : pp873-894 .
  30. D. Suvitha and M. Vijayalakshmi, Traffic prediction using MSSBiLS with self-attention model, Concurrency and Computation: Practice and Experience, 2022 Traffic prediction using MSSBiLS with self-attention model .
  31. E. Fantin Irudaya Raj, K. Manimala and M. Appadurai, Differential Protection Scheme along with Backup Blockchain System for DC Microgrid, Smart and Power Grid Systems - Design Challenges and Paradigms, 2022 Differential Protection Scheme along with Backup Blockchain System for DC Microgrid : pp135-156 .
  32. K. Manimala, E.F.I. Raj and S. Jagatheswari, Advancements in deep learning techniques for analyzing electronic medical records, Deep Learning for Healthcare Decision Making, 2022 Advancements in deep learning techniques for analyzing electronic medical records : pp133-158 .
  33. K. Soundararajan and T. Mala, Sports highlight recognition and event detection using rule inference system, Concurrent Engineering Research and Applications, 2022 Sports highlight recognition and event detection using rule inference system (2) : pp206-213 .
  34. M. Ayeesha Nasreen and S. Ravindran, Long short-term memory-based power-aware algorithm for prompt heterogenous activity, International Journal of Communication Systems, 2022 Long short-term memory-based power-aware algorithm for prompt heterogenous activity (10) .
  35. P. Mahalingam, D. Kalpana, S. Sendhilkumar and T. Thyagarajan, Prefatory data analysis approach to synthetically generated pneumatic actuator data set, Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, 2022 Prefatory data analysis approach to synthetically generated pneumatic actuator data set .
  36. P. Varalakshmi and S. Subbiah, Optimized scheduling of multi-user Map-Reduce jobs in heterogeneous environment, Concurrency and Computation: Practice and Experience, 2022 Optimized scheduling of multi-user Map-Reduce jobs in heterogeneous environment (27) .
  37. R. Ramaporselvi and G. Geetha, Congestion management in deregulated power system using adaptive moth swarm optimization, COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 2022 Congestion management in deregulated power system using adaptive moth swarm optimization (1) : pp334-356 .
  38. S. Aravindkumar and P. Varalakshmi, VANET: Optimal Cluster Head Selection Using Opposition Based Learning, Intelligent Automation and Soft Computing, 2022 VANET: Optimal Cluster Head Selection Using Opposition Based Learning (1) : pp601-617 .
  39. S. Naveed, G. Geetha and S. Leninisha, Early Diabetes Discovery from Tongue Images, Computer Journal, 2022 Early Diabetes Discovery from Tongue Images (2) : pp237-250 .
  40. S.P. Tamizhselvi and M. Vijayalakshmi, Dynamic bandwidth estimation and congestion avoidance based on network traffic in mobile cloud, International Journal of Sensor Networks, 2022 Dynamic bandwidth estimation and congestion avoidance based on network traffic in mobile cloud (1) : pp34-40 .
  41. T. Shanmuigapriya, S. Swamynathan and T. Uloli, Customized Share Level Monitoring System for Users in OSN-Third Party Applications, Computer Systems Science and Engineering, 2022 Customized Share Level Monitoring System for Users in OSN-Third Party Applications (3) : pp1327-1339 .
  42. A. Sekar and V. Perumal, Automatic road crack detection and classification using multi-tasking faster RCNN, Journal of Intelligent and Fuzzy Systems, 2021 Automatic road crack detection and classification using multi-tasking faster RCNN (6) : pp6615-6628 .
  43. A.A. Micheal and P. Geetha, A Novel Hybrid Feature Framework for Multi-View Age Estimation, Applied Artificial Intelligence, 2021 A Novel Hybrid Feature Framework for Multi-View Age Estimation (15) : pp1361-1387 .
  44. A.A. Micheal, K. Vani, S. Sanjeevi and C.-H. Lin, Object Detection and Tracking with UAV Data Using Deep Learning, Journal of the Indian Society of Remote Sensing, 2021 Object Detection and Tracking with UAV Data Using Deep Learning (3) : pp463-469 .
  45. A.J. Shalini Lakshmi and M. Vijayalakshmi, An adaptive multi-cloud offloading using hierarchical game-theoretic approach, International Journal of Intelligent Networks, 2021 An adaptive multi-cloud offloading using hierarchical game-theoretic approach : pp7-17 .
  46. B. Sowmiya, V.S. Abhijith, S. Sudersan, R. Sakthi Jaya Sundar, M. Thangavel and P. Varalakshmi, A Survey on Security and Privacy Issues in Contact Tracing Application of Covid-19, SN Computer Science, 2021 A Survey on Security and Privacy Issues in Contact Tracing Application of Covid-19 (3) .
  47. G. Kumaravel and S. Sankaranarayanan, PQPS: Prior-Art Query-Based Patent Summarizer Using RBM and Bi-LSTM, Mobile Information Systems, 2021 PQPS: Prior-Art Query-Based Patent Summarizer Using RBM and Bi-LSTM .
  48. G.S. Mahalakshmi, R. Siva and S. Sendhilkumar, On the Expressive Power of Scientific Manuscripts, IEEE Transactions on Emerging Topics in Computing, 2021 On the Expressive Power of Scientific Manuscripts (1) : pp269-279 .
  49. M. Jawahar, N.K.C. Babu, K. Vani, L.J. Anbarasi and S. Geetha, Vision based inspection system for leather surface defect detection using fast convergence particle swarm optimization ensemble classifier approach, Multimedia Tools and Applications, 2021 Vision based inspection system for leather surface defect detection using fast convergence particle swarm optimization ensemble classifier approach (3) : pp4203-4235 .
  50. M.A.M. Raja and S. Swamynathan, Hierarchical stream clustering based NEWS summarization system, Computers, Materials and Continua, 2021 Hierarchical stream clustering based NEWS summarization system (1) : pp1263-1280 .
  51. R. Vanitha and G. Geetha, A Superpower Tree Mapping and Tracing (STMT) Algorithm for OCA Sub-types Classification and Associated Risk Factors Identification, Wireless Personal Communications, 2021 A Superpower Tree Mapping and Tracing (STMT) Algorithm for OCA Sub-types Classification and Associated Risk Factors Identification (4) : pp2095-2119 .
  52. V. Noel Jeygar Robert and K. Vidya, Effective cooperative spectrum sensing using deep recurrent reinforced learning-based Q-routing in multihop cognitive radio networks, International Journal of Communication Systems, 2021 Effective cooperative spectrum sensing using deep recurrent reinforced learning-based Q-routing in multihop cognitive radio networks (17) .
  53. V. Perumal, S. Murugaiyan, P. Ravichandran, R. Venkatesan and R. Sundar, Real time identification of anomalous events in coastal regions using deep learning techniques, Concurrency and Computation: Practice and Experience, 2021 Real time identification of anomalous events in coastal regions using deep learning techniques (21) .
  54. V. Perumal, V. Narayanan and S.J.S. Rajasekar, Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features, Applied Intelligence, 2021 Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features (1) : pp341-358 .
  55. V. Perumal, V. Narayanan and S.J.S. Rajasekar, Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques, Disease Markers, 2021 Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques .
  56. V. Perumal, V. Narayanan and S.J.S. Rajasekar, Prediction of COVID Criticality Score with Laboratory, Clinical and CT Images using Hybrid Regression Models, Computer Methods and Programs in Biomedicine, 2021 Prediction of COVID Criticality Score with Laboratory, Clinical and CT Images using Hybrid Regression Models .
  57. D. Teekaraman, S. Sendhilkumar and G.S. Mahalakshmi, Semantic Provenance Based Trustworthy Users Classification on Book-Based Social Network using Fuzzy Decision Tree, International Journal of Uncertainty, Fuzziness and Knowlege-Based Systems, 2020 Semantic Provenance Based Trustworthy Users Classification on Book-Based Social Network using Fuzzy Decision Tree (1) : pp47-77 .
  58. E.S. Smitha, S. Sendhilkumar, G.S. Mahalakshmi and S. Krithika Sanju, Topic Based Temporal Generative Short Text Clustering, Lecture Notes on Data Engineering and Communications Technologies, 2020 Topic Based Temporal Generative Short Text Clustering : pp912-922 .
  59. F.M.E. Emerald, H.A. Pushpadass, M. Manjunatha, K. Manimala, D. Dejey, K. Salish and B.S. Nath, Modelling approaches for predicting moisture transfer during baking of chhana podo (milk cake) incorporated with tikhur (Curcuma angustifolia) starch, Journal of Food Measurement and Characterization, 2020 Modelling approaches for predicting moisture transfer during baking of chhana podo (milk cake) incorporated with tikhur (Curcuma angustifolia) starch (6) : pp2981-2997 .
  60. J.J. Iyda and P. Geetha, Keyword-Based Approach for Detecting Civil Unrest Events from Social Media, EAI/Springer Innovations in Communication and Computing, 2020 Keyword-Based Approach for Detecting Civil Unrest Events from Social Media : pp287-298 .
  61. K. Kanagaraj and S. Swamynathan, Fault tolerant scheduling of workflows using improved check pointing technique, International Journal of Advanced Science and Technology, 2020 Fault tolerant scheduling of workflows using improved check pointing technique (7 Special Issue) : pp1242-1251 .
  62. M. Krishnamoorthy and V. Perumal, Fixing Target Access Point with low load during Handoff in WLAN, Mobile Networks and Applications, 2020 Fixing Target Access Point with low load during Handoff in WLAN (2) : pp565-575 .
  63. M. Thangavel and P. Varalakshmi, Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage, IEEE Transactions on Knowledge and Data Engineering, 2020 Enabling Ternary Hash Tree Based Integrity Verification for Secure Cloud Data Storage (12) : pp2351-2362 .
  64. P. Marimuthu, V. Perumal and V. Vijayakumar, Intelligent personalized abnormality detection for remote health monitoring, International Journal of Intelligent Information Technologies, 2020 Intelligent personalized abnormality detection for remote health monitoring (2) : pp87-109 .
  65. P.S. Krishnan and K. Manimala, Implementation of optimized dynamic trajectory modification algorithm to avoid obstacles for secure navigation of UAV, Applied Soft Computing Journal, 2020 Implementation of optimized dynamic trajectory modification algorithm to avoid obstacles for secure navigation of UAV .
  66. S. Sibi Chakkaravarthy, D. Sangeetha, M.V. Cruz, V. Vaidehi and B. Raman, Design of intrusion detection honeypot using social leopard algorithm to detect IoT ransomware attacks, IEEE Access, 2020 Design of intrusion detection honeypot using social leopard algorithm to detect IoT ransomware attacks : pp169944-169956 .