Items where Division is "Computer Science" and Year is 2023

A, Asma Parveen and T, Kamalakannan (2023) Automated Brain Tumour Detection and Classification Using Equilibrium Optimization Algorithm with Deep Learning Model. International Journal of Electronics and Communication Engineering, 10 (12). pp. 102-111. ISSN 23488549

Addanke, Supriya and Anandan, R. and Krishna, Parimala Venkata and Sathish, Kuppani (2023) RETRACTED ARTICLE: An efficient resource management framework for big data using deep feed forward learning networks in smart health care systems. Soft Computing. ISSN 1432-7643

Ameetha Junaina, T. K. and Kumudham, R. and Ebenezer Abishek, B. and Mohammed, Shakir (2023) Maturity Level Detection of Strawberries: A Deep Color Learning-Based Futuristic Approach. In: Maturity Level Detection of Strawberries: A Deep Color Learning-Based Futuristic Approach. Springer, pp. 153-163.

Anand, Deva and Gowr, P. Sheela and Logesh, S. and Anand, S. M. (2023) Deep Learning-Based Alzheimer's Disease Classification using Transfer Learning and Data Augmentation. In: 2023 3rd International Conference on Intelligent Technologies (CONIT), Hubli, India.

Aneetha, A.S (2023) Geometric Structure Based Feature Transformation for Network Anomaly Detection System. In: 2023 12th International Conference on Advanced Computing (ICoAC), Chennai, India.

Anitha, D. and A. Karthika, R. (2023) Hybrid Deep Learning-Based Adaptive Multiple Access Schemes Underwater Wireless Networks. Intelligent Automation & Soft Computing, 35 (2). pp. 2463-2477. ISSN 1079-8587

Anitha, R. and Prabakaran, P. (2023) Vehicle Detection and Classification based on C-DSO Dataset using YOLO v3 with SRBD Method for Intelligent Transportation Applications. In: 2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT), Bhilai, India.

Balasree, K. and Dharmarajan, K. (2023) Thyroid classification using Deep Learning Techniques. In: 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India.

Banushri, A. and Karthika, R.A. (2023) Hyperledger Blockchain and Lightweight Bcrypt Symmetric Key Encryption to Boost Cloud Computing Security Effectiveness. In: 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India.

Barani, S. Sengamala and Durga, R. (2023) Novel Empirical Block Chain Ecosystem with Deep Neural Key Exchange Technique. In: 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India.

Bhanumathi, M. and Arthi, B. (2023) Designing a Heuristic Based Hybrid CNN with Attention Mechanism for the Effective Classification of Fish Species. In: 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

Bhargavi, V.Sesha and Selvaraj, Krishnamoorthy and Koti, Valli Madhavi and Maheshwari, Rajeev Kumar and RadhaMahendran, S. and Chandra, Sukumar (2023) Artificial Intelligence Based Examination of the Field of Ophthalmology. In: 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gautam Buddha Nagar, India.

Bhaskara Rao, G. and Parthiban, A. (2023) Study on cold room enhancements for commercial applications -Review. Materials Today: Proceedings, 80. pp. 2505-2512. ISSN 22147853

D., Karthika (2023) A study on artificial intelligence for monitoring smart environments. Materials Today: Proceedings, 80. pp. 2009-2013. ISSN 22147853

Deepasundari, K. and Raja, A. Thirumurthi (2023) Segmentation of Attributes of the Skin Lesion Using Deep Ensemble Models. In: Segmentation of Attributes of the Skin Lesion Using Deep Ensemble Models. Springer, pp. 313-323.

Devi, G. Dharani and Kamalakannan, S. (2023) Sentimental Analysis (SA) of Employee Job Satisfaction from Twitter Message Using Flair Pytorch (FP) Method. In: Sentimental Analysis (SA) of Employee Job Satisfaction from Twitter Message Using Flair Pytorch (FP) Method. Springer, pp. 367-380.

Devi, R. and Sujatha, P. (2023) Fusion of multimodal biometric authentication using gradient pyramid, PCA and DWT. International Journal of Intelligent Enterprise, 10 (1). p. 73. ISSN 1745-3232

Divya, M and Sathya, S. (2023) MedNet: A Segmentation Algorithm for Effective Lung cancer Diagnosis. In: 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India.

Eben, J. Lysa and Kaur, Chamandeep and Thelly, Mathews T and Parimita, parimita (2023) IoT based Monitoring of Mushroom. In: 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India.

Ganapathy, Revathy and D, Lingeshwaran and SuthanthiraDevi, P. and M V, Harish Kumar (2023) CNN-LSTM: Development of Offline Signature Authentication. In: 2023 International Conference on Emerging Research in Computational Science (ICERCS), Coimbatore, India.

Ganapathy, Revathy and Rajendran, Velayutham (2023) RETRACTED: CB-GRU-an encrypted net traffic flow classification in SDN using optimizing hyper parameters of neural network. Journal of Intelligent & Fuzzy Systems, 44 (5). pp. 7099-7111. ISSN 10641246

Ganesan, Elavel Visuvanathan and Thangappan, Jaya (2023) Performance analysis of various 5G multicarrier techniques. In: SUSTAINABLE DEVELOPMENTS IN MATERIALS SCIENCE, TECHNOLOGY AND ENGINEERING: Sustainable Development in Material Science of Today Is the Innovation of Tomorrow, 22–23 April 2022, Selangor D. E., Malaysia.

Gowtham, R. and Chandrasekaran, R. and Atchaya, J. and Ashfaque, M. D. (2023) PSD Analysis and Extraction of Values from Gastric Signal using Windowing Method. In: 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), Theni, India.

Guduri, Naga Venkata Ramakrishna and Sethu, S. and Shalinirajan, R. and Reena, R. and M, Karthikeyan and Uthayakumar, G.S. (2023) Intelligent Caching Strategies for 5G Edge Networks using Machine Learning. In: 2023 4th International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India.

Hannah Nithya, S. and Sahayadhas, Arun (2023) Meta-heuristic Searched-Ensemble Learning for fake news detection with optimal weighted feature selection approach. Data & Knowledge Engineering, 144. p. 102124. ISSN 0169023X

Irfan, B. Md. and Poornima, V. and Mohana Kumar, S and Aswal, Upendra Singh and Krishnamoorthy, N. and Maranan, Ramya (2023) Machine Learning Algorithms for Intrusion Detection Performance Evaluation and Comparative Analysis. In: 2023 4th International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India.

Jabir, K. and Thirumurthi Raja, A. (2023) Prediction of Lung Cancer from Electronic Health Records Using CNN Supported NLP. In: Prediction of Lung Cancer from Electronic Health Records Using CNN Supported NLP. Springer, pp. 549-560.

Jagadeesan, Sowmya and Nayak, Swikruti and Srija, N. and Chandru, Prasanna and Naresh Kumar Reddy, P. and Rastogi, Ravi (2023) Intelligent Hepatocellular Carcinoma Detection using Hybrid Radial basis Function Networks. In: 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.

Jagadeesan, Sowmya and Ravi, C.N. and Sujatha, M. and Southry, S Sree and Sundararajan, J and Reddy, Ch. Venkata Krishna (2023) Machine Learning and IoT based Performance Improvement of Energy Efficiency in Smart Buildings. In: 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India.

Jagadeesan, Sowmya and Sameer, Sameer and Singh, Devender and Ojha, Ritika and Ibrahim, Read Khalid and Alazzam, Malik Bader (2023) Application of Cybersecurity in E-Learning Education. In: 2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE), GHAZIABAD, India.

Janani, V. and Shanthi, C. (2023) Infrared Image Enhancement Using Contrast Limited Adaptive Histogram Equalization and Denoising Convolution Neural Network. In: 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Jayabharathi, Ponnurathinam and Sripriya, Pradabadattan (2023) A Novel Approach for Human Face Extraction and Detection using SAE-AFB-RFCN Framework. Journal of Advanced Research in Applied Sciences and Engineering Technology, 34 (1). pp. 51-62. ISSN 24621943

Jayanthi, C and Rukmani, A and Annalakshmi, D and Arumugam, M and K S, Thirunavukkarasu and P, Sasikumar (2023) Unveiling E-Commerce User Behavior through Deep Learning Evolutionary Data Mining. In: 2023 International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

Jayashree, S. and Sumalatha, V. (2023) Deep Learning-Based Plant Leaf Disease Detection Using Scaled Immutable Feature Selection Using Adaptive Deep Convolutional Recurrent Neural Network. SN Computer Science, 4 (5). ISSN 2661-8907

Jeyalaksshmi, S. and Sai Vignesh, P. J. (2023) Recognition of Iris Segmentation Using CNN and Neural Networks. In: Recognition of Iris Segmentation Using CNN and Neural Networks. Springer, pp. 515-521.

Jeyaseeli, Annies Mary and Chandrabose, Shanthi (2023) Design of an Efficient Smart Phone Data Extraction Tool Using Aho-Corasick Algorithm. Revue d'Intelligence Artificielle, 37 (2). pp. 475-481. ISSN 0992499X

Jeyaseeli, J. Annies Mary and Shanthi, C. (2023) S-ROID, An Efficient Methodology to Extract Deleted Data from Android. In: 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

K, Sumathi. and Mangayarkarasi, S. (2023) Classic Filter Identification in Gabor Filter Bank with Quality Metrics to Identify Defects on Fruit Peel. In: 2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, India.

K.V, Siva Prasad Reddy and K.S, Archana (2023) Basal Cell Carcinoma Prediction in Pigmented Skin Infection using Intelligent Techniques. In: 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India.

Kabilan, K. and Jebathangam, J. (2023) A LSTM Deep Learning method with Attention Dense Mechanism for AQI prediction. In: 2023 International Conference on System, Computation, Automation and Networking (ICSCAN), PUDUCHERRY, India.

Kalaivani, G. and Kamalakkannan, S. and Kavitha, P. (2023) A Novel Air Quality Prediction System with Long Term Storage with Hyper Parameter Tuning. In: 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.

Kalaivani, M and Shalini, R (2023) Multi-Disease Prediction Techniques using Machine and Deep Learning. In: 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India.

Kalaivani1, J and Arunachalam2, A.S (2023) Automatic detection of infected areas of CT images in COVID-19 patients using Inf-Seg-Net. International Journal of Advanced Technology and Engineering Exploration, 10 (104). ISSN 23945443

Kalpana, R. and Priya, P. Indira and Manju, M and Anitha, R and Venusamy, Kanagaraj (2023) Implementing a Unique Identification System for Improved Traceability and Prevention of Counterfeit Drugs in the Supply Chain. In: 2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS), Erode, India.

Kannagi, A. (2023) Retraction Note: K-Partitioned Smallest Distance Mining Tree for Path Optimation in Wireless Sensor Network. Wireless Personal Communications, 128 (1). p. 755. ISSN 0929-6212

Kannan, M. and Priya, C. (2023) A research on prediction of bat-borne disease infection through segmentation using diffusion-weighted MR imaging in deep-machine learning approach. Materials Today: Proceedings, 81. pp. 994-999. ISSN 22147853

Karthika, D. and Kalaiselvi, K. (2023) Parallel progressive-based inductive subspace and fuzzy-based firefly algorithm for high ensemble data clustering. International Journal of Cloud Computing, 12 (2/3/4). p. 224. ISSN 2043-9989

Kathirvelu, Kalaivani and Yesudhas, Asnath Victy Phamila and Ramanathan, Sakkaravarthi (2023) Spectral unmixing based random forest classifier for detecting surface water changes in multitemporal pansharpened Landsat image. Expert Systems with Applications, 224. p. 120072. ISSN 09574174

Kaushik, K. and Thamizhvani, T.R. and Gowtham, R. and Indrajith, S.R (2023) Acquisition and Pre-Processing of the EEG Signal based on Motor Activities. In: 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.

Kayathri, B. and Prasanna, S. (2023) Analyzing Brain Damages in Children with Image Processing Using KNN and FCM Algorithms. SN Computer Science, 5 (1). ISSN 2661-8907

Kothandaraman, Vigneshwari (2023) Binary swallow swarm optimization with convolutional neural network brain tumor classifier for magnetic resonance imaging images. Concurrency and Computation: Practice and Experience, 35 (10). ISSN 1532-0626

Krishnan, Saravanan and Murugappan, M. (2023) Internet of Drones: Applications, Opportunities, and Challenges. CRC Press, Boca Raton. ISBN 9781003252085

Krithika, M. and Akila, A. (2023) Optimal Selection of Cloud Service Provider Using MCDM Approach. In: Optimal Selection of Cloud Service Provider Using MCDM Approach. Springer, pp. 461-470.

Kumar, Kethineni Vinod and Rajesh, A. (2023) Multi-Objective Load Balancing in Cloud Computing: A Meta-Heuristic Approach. Cybernetics and Systems, 54 (8). pp. 1466-1493. ISSN 0196-9722

Kumar, T. Vijaya and Sharanya, C. (2023) Efficient Game Theory Based Resource Allocation and Cluster Based ANT Optimization for IoT based Cognitive Ratio Networks. In: 2023 Second International Conference On Smart Technologies For Smart Nation (SmartTechCon), Singapore, Singapore.

Lakshmi, A. and Devi, R. (2023) Heart Disease Prediction Model using Genetic Algorithm and Support Vector Machine. In: 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.

Lakshmi, A. and Devi, R. (2023) Heart Disease Prediction Using Enhanced Whale Optimization Algorithm Based Feature Selection With Machine Learning Techniques. In: 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Lathamaheswari, U. and Jebathangam, J. (2023) A Novel Deep Belief Network with Butterfly Optimization Algorithm for the Classification of Paddy Leaf Disease Detection. In: 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India.

Lathamaheswari, U. and Jebathangam, J. (2023) A Survey on Plant Leaf Disease Detection Using Image Processing. In: A Survey on Plant Leaf Disease Detection Using Image Processing. Springer, pp. 807-813.

Lavanya, B. and Shanthi, C. (2023) Malicious Software Detection based on URL-API Intensity Feature Selection Using Deep Spectral Neural Classification for Improving Host Security. International Journal of Computational Intelligence and Applications, 22 (02). ISSN 1469-0268

Lavanya, K. and Archana, K. S. (2023) Smart Home Based on IoT by Using Machine Learning. In: Smart Home Based on IoT by Using Machine Learning. IEEE, pp. 73-81.

Lavanya, N. and Nagasundaram, S. (2023) Improving Brain Tumor MRI Images with Pre-Processing Techniques for Noise Removal. In: 2023 International Conference on Sustainable Communication Networks and Application (ICSCNA), Theni, India.

Lysa Eben, J. and Renuga Devi, R. (2023) Inverse Contexture Abstractive Term Frequency Model Using Surf Scale Diffusive Neural Network for Analysis of Fake Social Content in Public Forum. In: Inverse Contexture Abstractive Term Frequency Model Using Surf Scale Diffusive Neural Network for Analysis of Fake Social Content in Public Forum. Springer, pp. 417-436.

M, Gomathy and Vidhya, A. (2023) Optimized Hybrid Model Using Machine Learning to Combat the Prevalence of Cybercrime. In: 2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India.

M, Lavanya and S, Mangayarkarasi (2023) Cybersecurity Threat Detection in Financial Institution Using AI BasedRisk Assessment. In: 2023 International Conference on Emerging Research in Computational Science (ICERCS), Coimbatore, India.

Mahalakshmi, B. and Raja, A. Thirumurthi (2023) Improved Segmentation of Neurodegenerative Disease using Deep Auto Encoders. In: 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS), Coimbatore, India.

Malathi, K. and Anandan, Dr.R. and Vijay, Dr.J. Frank (2023) Cloud Environment Task Scheduling Optimization of Modified Genetic Algorithm. Journal of Internet Services and Information Security, 13 (1). pp. 34-43. ISSN 21822069

Manibhai, Thakar Hitesh and Kumar, Mohit and Jeyalaksshmi, S. and Abdullah, abdullah and Panda, Sakti Charan and Pal, Souvik (2023) Practices of machine learning in classification of nanomaterial. In: ETLTC-ICETM2023 INTERNATIONAL CONFERENCE PROCEEDINGS: ICT Integration in Technical Education & Entertainment Technologies and Management, 24–27 January 2023, Aizuwakamatsu, Japan.

Manikandan, A. and Thirumal, S. and Kumar, N. (2023) Automated Cash Liquidity Flow Monitoring and Registry Using Deep Learning. In: Automated Cash Liquidity Flow Monitoring and Registry Using Deep Learning. IGI GLOBAL, pp. 541-554.

Mary Sheeba, R. and Parameswari, R. (2023) Hybrid Security for Data in Cloud Computing: A Review. In: Hybrid Security for Data in Cloud Computing: A Review. Springer, pp. 441-449.

Mathai, Shibi and Thirunavukkarasu, K.S. (2023) DataDriven Approaches for Early Detection and Prediction of Chronic Kidney Disease Using Machine Learning. In: ICIMMI 2023: International Conference on Information Management & Machine Intelligence, 23 11 2023 25 11 2023, Jaipur India.

Mathai, Shibi and Thirunavukkarasu, K.S. (2023) A systematic assessment and meta-analysis of machine learning methods for predicting and Classifying severe Long Term kidney disease. In: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India.

Mayuranathan, M. and Saravanan, S.K. and Muthusenthil, B. and Samydurai, A. (2023) An efficient optimal security system for intrusion detection in cloud computing environment using hybrid deep learning technique. Advances in Engineering Software, 173. p. 103236. ISSN 09659978

Meenakshi, J. and Thailambal, G. (2023) Gender and Age Detection Techniques for Blind People using Principal Component Analysis. In: 2023 International Conference on Inventive Computation Technologies (ICICT), Lalitpur, Nepal.

Mohan, Lekshmi and Durga, R. (2023) Evaluation Of Renewable Energy Forecasting (REF) Technique Using by Machine Learning. In: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India.

Mounika, Padire and Jaya, T. and Ebenezer Abishek, B. (2023) Design and Analysis of the Radiation Characteristics of a Microstrip Antenna Array Resonating at 28 GHz for Satellite Applications. In: Design and Analysis of the Radiation Characteristics of a Microstrip Antenna Array Resonating at 28 GHz for Satellite Applications. Springer, pp. 473-482.

Moyeenudin, H.M. and Narender, M. and Mukunthan, M. A. and Raman, Kanimozhi and Balasubramanian, D. (2023) An Analysis on the Power Consumption of Nodes in Ad hoc IEEE 802.11 Networks. In: 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India.

Murugan, M. Senthil and T, Sree Kala (2023) Large-scale data-driven financial risk management & analysis using machine learning strategies. Measurement: Sensors, 27. p. 100756. ISSN 26659174

N, Sivanesan. and A, Rajesh. and Archana, K. S. (2023) ANFIS-RSOA Approach for Detecting and Preventing Network Layer Attacks in MANET. International Journal of Computer Networks and Applications, 10 (6). p. 976. ISSN 2395-0455

Naidu, J.N.S.S Janardhana and Ganesh, E.N (2023) An Adaptive Blockchain based Three-Tier Architecture in Fog based IoT for Personal Healthcare Data Application. International Journal on Recent and Innovation Trends in Computing and Communication, 11 (6). pp. 476-483. ISSN 2321-8169

Nair, Resmi G. and Narayanan, Kumar (2023) Cooperative spectrum sensing in cognitive radio networks using machine learning techniques. Applied Nanoscience, 13 (3). pp. 2353-2363. ISSN 2190-5509

Nithya, B. and Sripriya, P. (2023) Multi-modal Biometrics’ Template Preservation and Individual Identification. In: Multi-modal Biometrics’ Template Preservation and Individual Identification. springer, pp. 805-820.

P, Joel Hebrew. and S, Prem Kumar. and R, Naveen Raj. and N, Kumar. (2023) An Investigation of Task Offloading Latency in Edge-Cloud Environment Using Machine Learning Techniques. In: 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS), Coimbatore, India.

Padmini, B and Kalpana, Y (2023) Early detection of DR with an Effective Optimal Stochastic Deep Network in fundus images using the Monte Carlo Method. In: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India.

Pal, Souvik and VijayKumar, Hannah and Akila, D. and Z. Jhanjhi, N. and A. Darwish, Omar and Amsaad, Fathi (2023) Information-Centric IoT-Based Smart Farming with Dynamic Data燨ptimization. Computers, Materials & Continua, 74 (2). pp. 3865-3880. ISSN 1546-2226

Paramasivam, Renuka and Rajashekar, Booba (2023) Cardio Disease Prediction using Deep Spectral Logistic Decision Neural Network. In: ICIMMI 2023: International Conference on Information Management & Machine Intelligence, 23 11 2023 25 11 2023, Jaipur India.

Pavithra, V. and Jayalakshmi, V. (2023) Smart energy and electric power system: current trends and new intelligent perspectives and introduction to AI and power system. In: Smart Energy and Electric Power Systems. Elsevier, pp. 19-36.

Poongodi, A. and Kopperundevi, N. and Poorani, S. and Tiwari, Mohit and Rao, B. Srinivasa and Abilash, N. (2023) Bio-Inspired Optimization with Transfer Learning Based Crowd Density Detection on Sparse Environment. In: 2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India.

Poongothai, L. and Sharmila, K. (2023) Hybrid Novel Network to Agnize the Severity of Retinal Detachment using Derived Novel Formula. In: 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.

Poovizhi, J Mary Ramya and Devi, R (2023) The Performance Analysis and Comparison of Azure and AWS Hypervisor using Different Workloads in Virtualization. In: 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.

Poovizhi, J. Mary Ramya and Devi, R. (2023) Performance Analysis of Cloud Hypervisor Using Network Package Workloads in Virtualization. In: 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Prabakaran, P and Chandra Sekhar Reddy, L. and Ravikumar, LVD and Verma, Manish Kumar (2023) Simulate the Machine Learning Algorithm to Organize the CRAHN Network System. In: 2023 3rd International Conference on Advancement in Electronics & Communication Engineering (AECE), GHAZIABAD, India.

Prabakaran, P. and Shalini, R. and Hariharan, N and Marieswari, S. and Kumar, Kallakunta Ravi and Apoorva, Maturi Gayatri Lakshmi (2023) Improving Energy Efficiency using Colliding Bodies Optimization based Routing Protocol for Wireless Sensor Networks. In: 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India.

Prakash, K. and Saradha, S. (2023) Efficient prediction and classification for cirrhosis disease using LBP, GLCM and SVM from MRI images. Materials Today: Proceedings, 81. pp. 383-388. ISSN 22147853

Prakash, K. and Sathya, S. (2023) A Deep Learning-based Multi-Path Routing Protocol for Improving Security using Encryption in Underwater Wireless Sensor Networks. In: 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Prasad, A. Reddy and Rajesh, A. (2023) Hybrid heuristic mechanism for occlusion aware facial expression recognition scheme using patch based adaptive CNN with attention mechanism. Intelligent Decision Technologies, 17 (3). pp. 773-797. ISSN 18724981

Priya, E. Sweetline and Priya, R. (2023) Data Encryption of Blood-chain data in Blockchain Network. In: 2023 International Conference on Networking and Communications (ICNWC), Chennai, India.

Priya, E. Sweetline and Priya, R. (2023) Performance Comparison of On-Chain and Off-Chain Data Storage Model Using Blockchain Technology. In: Performance Comparison of On-Chain and Off-Chain Data Storage Model Using Blockchain Technology. springer, pp. 499-511.

Priya, G. Jaculine and Saradha, S. (2023) Global fraud prevention leveraging artificial and machine learning technologies. In: 11TH ANNUAL INTERNATIONAL CONFERENCE (AIC) 2021: On Sciences and Engineering, 29–30 September 2021, Banda Aceh, Indonesia.

Priyalakshmi, V. and Devi, R. (2023) Analysis and Implementation of Normalisation Techniques on KDD’99 Data Set for IDS and IPS. In: Analysis and Implementation of Normalisation Techniques on KDD’99 Data Set for IDS and IPS. Springer, pp. 51-70.

Punitha, T. Santhi and Piramu Preethika, S.K. (2023) Innovations in CT Angiography Image Analysis: Machine Learning Methods for Plaque Segmentation. In: 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Punitha, T. Santhi and Preethika, S K. Piramu (2023) Techniques for Pre-processing CT Angiography (CTA) Images for the Diagnosis of Cardiac Disease. In: 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Punithavathi, S. and Jeyalaksshmi, S. (2023) Secure Block Chain-Based Healthcare Sensitive Data Prediction Using Pragmatic Quasi-Identifiers in a Decentralized Cloud Environment. SN Computer Science, 5 (1). ISSN 2661-8907

Pushpalatha, Ms. L. and Durga, R. (2023) Review on Various Clustering Algorithm on Healthcare based Cloud Analytics. In: 2023 5th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India.

R, Jayakrishnan and Meera, S. (2023) Reinforcement Learning Technique Based Automated Feature Analysis of Gene Expression Data. In: 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India.

Radha, S. and Jeyalaksshmi, S. (2023) Deterministic Hash and Linear Congruential BlowFish Extreme Learning for User Authentication in Cloud Computing. SN Computer Science, 4 (6). ISSN 2661-8907

Radha, S. and Jeyalaksshmi, S. (2023) Gradient Kernelized Cat Boost Pre-Emptive Traffic Aware Data Distribution in Cloud Computing. In: 2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS), Raichur, India.

Radha., K. and Parameswari, R. (2023) Reducing the Effects of DDos Attacks in Software Defined Networks Using Cloud Computing. In: 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS), Kochi, India.

Radhika, P. and Kamalakkannan, S. and Kavitha, P. (2023) Review of DDoS Attack Detection in Big Data with Cloud using Machine Learning. In: 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.

Raghunath Kumar Babu, D. and Packialatha, A. (2023) Deep Ensemble Technique for Cyber Attack Detection in Big Data Environment. Cybernetics and Systems, 54 (8). pp. 1320-1347. ISSN 0196-9722

Rajaram, Gnanajeyaraman and R S, Archana Vishveswari and Deepa, R. and Packialatha, A. (2023) Node Mobility and Encounter Rate Metrics to Enhance Stability in MANET. In: 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Rajaram, Gnanajeyaraman and Thangaraj, T. Stephen and Packialatha, A. and Deepa, R. (2023) Crow Search Optimization to Identify Adversary Nodes in Wireless Networks. In: 2023 2nd International Conference on Edge Computing and Applications (ICECAA), Namakkal, India.

Rajesh, P. and Akila, D. (2023) Sentimental Analysis on E-learning Videos for Learner’s Opinion Using Machine Learning Methodology - Support Vector Machine. In: Sentimental Analysis on E-learning Videos for Learner’s Opinion Using Machine Learning Methodology - Support Vector Machine. Springer, pp. 191-200.

Ramanathan, Manikandan and Narayanan, Kumar (2023) Disk storage failure prediction in datacenter using machine learning models. Applied Nanoscience, 13 (2). pp. 1569-1590. ISSN 2190-5509

Ramapriya, B. and Kalpana, Dr Y. (2023) A Dual Secured Medical Image Steganography Model to Enhance Network Security based on Deep Learning Techniques. In: 2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), Bengaluru, India.

Ramapriya, B. and Kalpana, Y. (2023) A Competent Medical Image Steganography using Improved Optimization Algorithm with Huffman Encoding Techniques. In: 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India.

Ranjani, R. and Priya, R. (2023) Restoration and Enhancement of COVID-19 Variants Using CT Images. In: Restoration and Enhancement of COVID-19 Variants Using CT Images. Springer, pp. 485-497.

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