Items where Subject is "Deep Learning"

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Agalya, D and Kamalakkannan, S. (2024) Detecting Brain Tumor Stages Using Convolutional AutoEncoder (CAE) with Hybrid Deep Learning Method. In: 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India.

Agalya, D and Kamalakkannan, S. (2024) Detecting Brain Tumor Stages Using Convolutional AutoEncoder (CAE) with Hybrid Deep Learning Method. In: 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India.

Akila, Duraisamy and Garg, Harish and Pal, Souvik and Jeyalaksshmi, Sundaram (2024) Research on recognition of students attention in offline classroom-based on deep learning. Education and Information Technologies, 29 (6). pp. 6865-6893. ISSN 1360-2357

Anbarasi, C. and Revathi, J. and Arutjothi, G. and Nandhakumar, R. and V, Vishwa Priya. and Yogeshwari, M. (2025) OSIS-NET Deep Learning Framework for Enhanced Osteoporosis Detection and Classification Using MRI Imaging. In: 2025 International Conference on Inventive Computation Technologies (ICICT), Kirtipur, Nepal.

Anusha, D. J. and Anandan, R. and Krishna, P. Venkata (2024) A novel deep learning and Internet of Things (IoT) enabled precision agricultural framework for crop yield production. Journal of Autonomous Intelligence, 7 (4). ISSN 2630-5046

Anusuya, S. and Sharmila, K. (2022) Analysis of Food Calorie using Extended Kalman Algorithm and Novel Hybrid Deep-Learning Framework. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Arif, M. K. and Kathirvelu, Kalaivani and Yasir, A. (2024) Driver Health Monitoring System to Identify Cardiac Problems in Drivers using Live ECG Signal. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

Arul., S. and Kavitha, P. and Kamalakkannan, S. (2025) Deep Learning Crime Monitoring and Alerting System using Hybrid Feature Engineering technique with IoT Technology. In: 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

Arumugam, Sajeev Ram and Balakrishna, R and Rajeshram, V. and Gowr, Sheela and Karuppasamy, Sankar Ganesh and Premnath, S.P. (2022) Prediction of severity of Knee Osteoarthritis on X-ray images using deep learning. In: 2022 IEEE North Karnataka Subsection Flagship International Conference (NKCon), Vijaypur, India.

Arumugam, Sajeev Ram and Gowr, Sheela and Abimala, A and Balakrishna, A and Manoj, Oswalt (2022) Performance Evaluation of Machine Learning and Deep Learning Techniques: A Comparative Analysis for House Price Prediction. In: Convergence of Deep Learning In Cyber‐IoT Systems and Security. Wiley, pp. 21-65. ISBN 9781119857686

Aruna, Etikala and Sahayadhas, Arun (2025) Blockchain-Enabled Smart Contract Design and Development with Hybrid Deep Learning Model. In: 2025 4th International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballari, India.

Ashita, C. T. and Kala, T. Sree (2022) Prediction of Heart Diseases using Deep Learning: A Review. In: 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India.

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B, Zirawani and Z.H, Fatimah and N.M.R, Syazwa (2018) Satisfaction Level of Mobile Application Implementation Towards Passengers: an Analysis. International Journal of Engineering & Technology, 7 (2.29). p. 1102. ISSN 2227-524X

Bakthavatchalu, Ramakrishnan and Chockalingam, Meenakshi (2025) Deep Learning for Encrypted Traffic Classification and Unknown Data Detection. In: 2024 Real-Time Intelligent Systems.

Bhanumathi, M and Dhanya, S and Gugan, R and Kirthika, K G (2022) Marine Plastic Detection Using Deep Learning. In: Advances in Parallel Computing Algorithms, Tools and Paradigms. IOS Press and distributed.

Bhanumathi, M. and Arthi, B. (2022) Future Trends and Short-Review on Fish Species Classification Models Based on Deep Learning Approaches. In: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Bhargavi Devi, P. and Sharmila, K. (2022) A Comparative Analysis of Deep-Learning Models with Novel Hybrid Biometric Modality Deep-Learning Network (BIOMODEN) to cognize Classification Accuracy of Fused Biometric Image. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Bibiyana, D. Janis and Ramu, V. and Rakesh, R. and Raja, S. and J, Juno Jasmine and Chandramouli, S. (2025) Deep Learning for Stock Market Prediction. In: 2025 International Conference on Frontier Technologies and Solutions (ICFTS), Chennai, India.

Binu, Shiiu K and Shanthi, C (2024) Clinical Insight: Comparative Analysis of Deep Learning Models for Disease Prediction across Multifaceted Datasets. In: 2024 Third International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), Ballari, India.

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Chitra, K. and Shanthi, C. (2022) A Novel Approach for Fatigue Driver Prediction using Deep Learning Model. In: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Chowdhury, Farhana Ahmed and Hosain, Md Kamal and Bin Islam, Md Sakib and Hossain, Md Shafayet and Basak, Promit and Mahmud, Sakib and Murugappan, M. and Chowdhury, Muhammad E.H. (2024) ECG waveform generation from radar signals: A deep learning perspective. Computers in Biology and Medicine, 176. p. 108555. ISSN 00104825

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Deepa, G. and Kalpana, Y. (2024) Exploring and Improving Deep Learning-Based Image Filtering and Segmentation Techniques for Enhancing Leukemia Images. In: Communications in Computer and Information Science. Springer, pp. 97-111.

Devi, Chingakham Nirma and Renuga Devi, R. (2024) Big Data and Deep Learning‐based Tourism Industry Sentiment Analysis Using Deep Spectral Recurrent Neural Network. In: Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection. Wiley, pp. 165-178. ISBN 9781394196470

Devi, Kabirdoss and Sampath, K. and Venkatesan, S. and Ambuli, T.V. and Kumaran, S. (2024) Deep Learning for Predictive Maintenance Revolutionizing Asset Management in Finance. In: 2024 International Conference on Distributed Systems, Computer Networks and Cybersecurity (ICDSCNC), Bengaluru, India.

Devi, T Sangeetha and Raghavendran, V. (2024) Alzheimer's Disease Classification and Severity Level Identification in Image Processing Using Deep Learning Algorithms. In: 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India.

Dharani, M. and Sathya, S. (2024) An Analysis of Cyberbullying in Text Data using Deep Learning Algorithms. Communications on Applied Nonlinear Analysis, 31 (3s). pp. 61-73. ISSN 1074-133X

Dharani, M. and Sathya, S. (2024) Deep Learning Algorithms with Adam Optimization for Detecting of Cyberbullying Comments. Nanotechnology Perceptions, 20 (S3).

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Fathima, M. S and Booba, B. (2025) A Novel Deep Learning Architecture for Irrigation Prediction Using ID-CNN-Bidirectional GRU- Fusion Model. International Journal of Intelligent Engineering and Systems, 18 (5). pp. 310-328. ISSN 21853118

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G, Nagarajan and Raaza, Arun and Achar, Chetna Dayanand and M, Meena (2025) Deep Learning Approach for Diagnosing Papulosquamous Disease. International Journal of Engineering Trends and Technology, 73 (3). pp. 58-72. ISSN 22315381

G. A, Senthil and Prabha, R. and Razmah, M and Sridevi, S. and Roopa, D. and Asha, R M (2022) A Big Wave of Deep Learning in Medical Imaging - Analysis of Theory and Applications. In: 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India.

Ganesh Karuppasamy, Sankar and Gowr, Sheela and Diwakaran, M and Maharajan, K. and Arumugam, Sajeev Ram and Rajeshram, V. (2022) Identification of COVID-19 in CT Images using Deep Learning Model. In: 2022 International Conference on Computer, Power and Communications (ICCPC), Chennai, India.

Gnanaguru, Gnaneswari and Priscila, S.Silvia and Sakthivanitha, M. and Radhakrishnan, Sangeetha and Rajest, S. Suman and Singh, Sonia (2024) Thorough Analysis of Deep Learning Methods for Diagnosis of COVID-19 CT Images:. In: Advancements in Clinical Medicine. IGI, pp. 46-65.

Gowri, B. Shyamala and H Nair, S. Anu and Sanal Kumar, K. P. and Kamalakkannan, S. (2024) Integrating Chicken Swarm Optimization with Deep Learning for Microarray Gene Expression Classification. In: 2024 7th International Conference on Devices, Circuits and Systems (ICDCS), Coimbatore, India.

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J, Jegan Amarnath and Meera, S. (2025) An Enhanced Detection System of Autism Spectrum Disorder Using Thermal Imaging and Deep Learning. SN Computer Science, 6 (2). ISSN 2661-8907

Jacob, Y Jini and J, Bethanney Janney and RJ, Hemalatha and S, Preethi (2025) Optimised hybrid deep learning classification model for kidney stone diagnosis. Results in Engineering, 26. p. 105221. ISSN 25901230

Jain, Vaibhav and Rakshe, Chetan Tanaji and Sengar, Sandeep Singh and Murugappan, M. and Ronickom, Jac Fredo Agastinose (2024) Age- and Severity-Specific Deep Learning Models for Autism Spectrum Disorder Classification Using Functional Connectivity Measures. Arabian Journal for Science and Engineering, 49 (5). pp. 6847-6865. ISSN 2193-567X

Janahan,, S K and Sahayadhas, A (2020) A SUPERLATIVE GROPING ON THERAPEUTIC PROPERTIES OF PREMNA LATIFOLIA EXTRACTS. Journal of critical reviews, 7 (05). ISSN 23945125

Jansi, B. and Sumalatha, V. (2024) Improved Gaussian Grasshopper Optimization Algorithm (IGGOA) and Deep Belief Network (DBN) For Fetal Health Classification. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

Jayakarthik, R. and Srinivasan, Aravindan and Goswami, Sohan and Shivaranjini, A and R, Mahaveerakannan (2022) Fall Detection Scheme based on Deep Learning Model for High-Quality Life. In: 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Jayashree, S. and Sumalatha, V. (2024) Performance Juxtapose of Plant Leaf Disease Detection using Adaptive Deep Convolutional Recurrent Neural Network (ADCRNN) in MATLAB Versus Python. In: 2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS), Hassan, India.

Jeevitha, R. and Ramesh, L. (2025) Members Testing based Data Analysis with Structuring Query Processing using Deep Learning Techniques. In: 2025 2nd International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering (RMKMATE), Chennai, India.

Jeyasudha, J. and Sasikala, K. (2025) Intelligent Stability Detection in Smart Power Grids using Optimized Deep Learning Models. In: 2025 International Conference on Frontier Technologies and Solutions (ICFTS), Chennai, India.

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K, Sadakathulla P. and Parameswari, R. (2022) An Overview of Latest Methods in Deep Learning for Automated Identification of COVID-19 Infection from Chest X-rays and CT-Scan Images. In: 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India.

K, Shruthi and M, Kavitha and G S, Maheswari (2025) Blockchain-Enhanced Factorization Machine-Deep Learning Based Lightning Search Algorithm for Secure Cloud Data Processing. In: 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India.

Kabir, Saidul and Sarmun, Rusab and Al Saady, Rafif Mahmood and Vranic, Semir and Murugappan, M. and Chowdhury, Muhammad E. H. (2025) Automating Prostate Cancer Grading: A Novel Deep Learning Framework for Automatic Prostate Cancer Grade Assessment using Classification and Segmentation. Journal of Imaging Informatics in Medicine. ISSN 2948-2933

Kalaiselvi, K. and Sujarani, Pulla and Jayalakshmi, S. (2025) A Novel Method of Chronic Kidney Disease Detection Based on Deep Learning Technique. In: 2025 11th International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, India.

Kalaivani, G. and Kamalakkannan, S. (2022) Web Scraping Technique for Prediction of Air Quality through Comparative Analysis of Machine Learning and Deep Learning Algorithm. In: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Kalaivani, M. and Abirami, K. and Dharmarajan, K. (2024) Deciphering Key Genes in Colon Cancer Through Deep Learning Techniques. In: 2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), Villupuram, India.

Kannan, Balaji and Sakthivanitha, M. and Jayashree, S. and Maruthi, R. (2024) Prediction of Cyber Attacks Utilizing Deep Learning Model using Network/Web Traffic Data. In: 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

Kayathri, V. and Prabakaran, P. (2024) Deep Learning-Based Algorithmic Trading Based on News and Events Strategies. In: Lecture Notes in Networks and Systems. Springer, pp. 311-320.

Koteswara Rao, R. and Sahaai, Madona B. and Sharanya, C. (2025) Performing Hybrid Spectrum Sensing with an Adaptive and Attentive Multi-stacked Deep Learning Network in a Cognitive Radio Network. Journal of Information & Knowledge Management. ISSN 0219-6492

Kumar, Pavithra and Sundaraperumal, Padmavathy and Kumar, Praveena and Karthikeyan, Paul Mathi Priyanka (2025) A comprehensive review of CGBnet: A deep learning framework for compost classification. In: INTERNATIONAL CONFERENCE ON GREEN COMPUTING FOR COMMUNICATION TECHNOLOGIES (ICGCCT – 2024), 6–7 March 2024, Salem, India.

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Lavanya, N. and Nagasundaram, S. (2025) Brain tumor classification using Hybrid RF+ DenseNet121. In: 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Chennai, India.

Leena Nesamani, S and Banushri, A. (2024) A review of using deep learning from an ecology perspective to address climate change and air pollution. Global NEST: the international Journal. ISSN 1790-7632

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M, Girija and V, Divya (2024) Deep Learning-Based Traffic Accident Prediction: An Investigative Study for Enhanced Road Safety. EAI Endorsed Transactions on Internet of Things, 10. ISSN 2414-1399

M, Girija and V, Divya (2024) Road Traffic Accident Prediction using Deep Learning. In: 2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS), Coimbatore, India.

Mahalakshmi, V. and Poornima, V. (2024) Cloud Resource Allocation using Deep Learning Techniques –A Study. In: 2024 4th International Conference on Soft Computing for Security Applications (ICSCSA), Salem, India.

Manikandan, A and Anandan, R (2018) Traffic accident monitoring system using deep learning. International Journal of Engineering & Technology, 7 (2.21). p. 283. ISSN 2227-524X

Manikandan, A. and Rajan, S. Deepa (2025) Cyber Attack Detection Using Deep Multi-agent Reinforcement Learning with Beth Dataset. SN Computer Science, 6 (5). ISSN 2661-8907

Manikandan, N. and Gnanaguru, Gnaneswari and Viswapriya, V. and Priscila, S. Silvia and Christodoss, Prasanna Ranjith and Saranya, S. (2025) BERT-Based Deep Learning Models for Analyzing Sentiments of COVID-19-Related Social Media Tweets:. In: BERT-Based Deep Learning Models for Analyzing Sentiments of COVID-19-Related Social Media Tweets. IGI Global Scientific Publishing, pp. 21-36.

Mayuri, Kannan and Varalakshmi, Durairaj and Tharaheswari, Mayakrishnan and Somala, Chaitanya Sree and Priya, Selvaraj Sathya and Bharathkumar, Nagaraj and Senthil, Renganathan and Kushwah, Raja Babu Singh and Vickram, Sundaram and Anand, Thirunavukarasou and Saravanan, Konda Mani (2024) Identifying Potent Fat Mass and Obesity-Associated Protein Inhibitors Using Deep Learning-Based Hybrid Procedures. BioMedInformatics, 4 (1). pp. 347-359. ISSN 2673-7426

Meenakshi, C. and Meyyappan, S. and Ram, A. Ganesh and Vijayakarthick, M. and Vinoth, N. and Singh, Bhopendra (2024) Classification of Lung Images of COVID-19 Patients With the Application of Deep Learning Techniques:. In: Advancements in Clinical Medicine. IGI, pp. 66-79.

Meenakshi, G. and Thailambal, G. (2021) A Contemporary Method on Feature Selection and Classification Using Multi-Model Deep Learning Technique for Identifying Diabetic Retinopathy. In: Advances in Parallel Computing Technologies and Applications. IOS Press.

Minilal, M. and Meena, M. (2025) Security Threat Analysis in 5G Cognitive Radio Networks: A Deep Learning Ensemble Approach. International Journal of Safety and Security Engineering, 15 (1). pp. 181-187. ISSN 20419031

Mohandas, R. and Elavarasi, M and Praveen, RVS and Chittapragada, Hemanand and Nithiya, C. and Prabagar, S. (2024) Advanced Cyber-Attack Detection in IoT Networks Using Deep Belief Networks and Gradient Boosting Mechanisms. In: 2024 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkuru, India.

Murugan, Suganiya and Ali, Mir Kasif and Singari, Dhanvanth and Kumar, S. Pradeep (2024) Interactive Sign Language Learning System Using Computer Vision and Deep Learning. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

Muruganandam, V. and Rajini, G. (2024) Enhancing Airport Security: Integrating PSO-TAM with Deep Learning for Real-Time Threat Assessment. In: 2024 2nd International Conference on Advances in Computation, Communication and Information Technology (ICAICCIT), Faridabad, India.

Mutawa, A. M. and Hemalakshmi, G. R. and Prakash, N. B. and Murugappan, M. (2025) Randomization-Driven Hybrid Deep Learning for Diabetic Retinopathy Detection. IEEE Access, 13. pp. 38901-38913. ISSN 2169-3536

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N, Raghapriya and Y, Kalpana (2024) Hybdeefu-Feaseg: A Comprehensive Framework For Lung Cancer Detection Combining Deep Learning, Fuzzy Logic, And Optimized Feature Selection. International Journal of Engineering Trends and Technology, 72 (11). pp. 307-321. ISSN 22315381

N, Saravanan and G.R, Jothi Lakshmi (2024) Enhancing Scalability in Deep-Q-Learning for Resource Allocation in 6G URLLC Networks: Hybrid Approaches and Optimization Techniques. In: 2024 1st International Conference on Sustainability and Technological Advancements in Engineering Domain (SUSTAINED), Faridabad, India.

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P, Radhika. and Kamalakkannan, S. (2025) Deep Learning Model with Optimization Strategies for DDoS Attack Detection in Cloud Computing. In: 2025 3rd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), Bengaluru, India.

P, Thilakavathy and G, Manikandan and R, Deepa and V, Jayalakshmi and R, Surendran (2024) Improved Contextual Understanding and Emotion Detection in Large-Scale Text Data with Hybrid Deep Learning Models. In: 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA), Theni, India.

P, Uma and S, Perumal (2025) Hydrocephalus Classification From MRI Using Learning Vector Quantization-Based Factorization Machine Deep Learning. In: 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India.

Palarimath, Suresh and Maran, Pyingkodi and R, Wilfred Blessing N. and Kavitha, S. J and A, Cibi. and Sutherlin, Subitha G. (2024) Uncovering Android Zero-Day Threats: The Zero-Vuln Approach with Deep and Zero-Shot Learning. In: 2024 2nd International Conference on Computing and Data Analytics (ICCDA), Shinas, Oman.

Pavithra, V. and Jayalakshmi, V. (2021) Deep Learning in Healthcare. In: EAI/Springer Innovations in Communication and Computing. Springer, pp. 181-197.

Prabakaran, P and Jayasudha, R. and Sandhu, Mukta and Gupta, Sandeep (2024) Deep Learning-Based Image Analysis to Track Vehicles. In: 2024 2nd International Conference on Disruptive Technologies (ICDT), Greater Noida, India.

Prakash, K. and Saradha, S. (2022) A Deep Learning Approach for Classification and Prediction of Cirrhosis Liver: Non Alcoholic Fatty Liver Disease (NAFLD). In: 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India.

Praveena, A. and Kalpana, Y. (2025) Revolutionizing Alzheimer's Detection: Hybrid Deep Learning Models in Experimental Analysis and Insights. In: 2025 8th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India.

Preethi, I. and Dharmarajan, K. and Sharma, Bhisham and Chowdhury, Subrata and Dhaou, Imed Ben (2024) A Novel Method to Predict Chronic Kidney Disease using Optimized Deep Learning Algorithm. In: 2024 21st Learning and Technology Conference (L&T), Jeddah, Saudi Arabia.

Premnath, S. P. and Gowr, P. Sheela and Ananth, J. P. and Arumugam, Sajeev Ram (2024) Image enhancement and blur pixel identification with optimization-enabled deep learning for image restoration. Signal, Image and Video Processing, 18 (5). pp. 4525-4540. ISSN 1863-1703

Priya, V. Vishwa and Jose Reena, K and Umamageswari, K and Gayathri, B. and Tamil Selvi, P (2024) Leveraging Deep Learning Algorithms for Improved Detection and Mitigation of Market Volatility. In: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India.

Priya, V. Vishwa and Pande, Soumitra S. and Ilyas, Md and Jayasudha, R. and Ramesh, Janjhyam Venkata Naga and Suganthi, D. (2025) Deep Learning and IoT Based Robotics to Monitor the Traffic. In: Communications in Computer and Information Science ((CCIS,volume 2195). Springer Nature Link, pp. 125-139.

Priyadarsini, K. and Janahan, Senthil Kumar and Thirumal, S. and Bindu, P. and Raj, T. Ajith Bosco and Majji, Sankararao (2022) Recognition of the Multioriented Text Based on Deep Learning. In: Expert Clouds and Applications. Springer, pp. 367-375.

Punitha, A. and Sasirekha, D. and Dhanalakshmi, R. S. and Devi, K. Aruna and Suseendran, G. (2021) Deep Learning in Image Signal Processing for Minimal Method by Using Kernel DBN. In: Lecture Notes in Networks and Systems. Springer, pp. 41-50.

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R, Selvam and P, Prabakaran (2024) Epileptic Seizure Recognition Utilizing Improved Chimp Optimization Algorithm with Deep Learning on EEG Signals. International Journal of Engineering Trends and Technology, 72 (9). pp. 336-343. ISSN 22315381

R, Selvam and R, Mahalakshmi (2025) Robust Epileptic Seizure Recognition using Dimensionality Reduction with Deep Learning on EEG Signals. International Journal of Electronics and Communication Engineering, 12 (4). pp. 8-18. ISSN 23488549

R-Prabha, M. and Prabhu, Ramkumar and Suganthi, SU. and Sridevi, S. and Senthil, G.A. and Vijendra Babu, D. (2021) Design of Hybrid Deep Learning Approach for Covid-19 Infected Lung Image Segmentation. Journal of Physics: Conference Series, 2040 (1). 012016. ISSN 1742-6588

Raja K, Shanmuga and R, Jothi Lakshmi G. (2024) Elevating Spectral Efficiency through Quantum-Inspired Deep Learning in Massive MIMO for 5G Communications. In: 2024 International Conference on Intelligent Systems for Cybersecurity (ISCS), Gurugram, India.

Rajan, Anuja A and Durga, R. (2023) Analysis of Android Malware Detection (AMD)To Recognisecryptoware Usingdeep Learning. In: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India.

Rajan, Anuja A. and Durga, R. (2024) Fuzzy Membership Grasshopper Optimization Algorithm (FMGOA) Based Feature Selection and Mean Weight Deep Belief Network (MWDBN) Classifier with Fusion Approach for Android Malware Detection (AMD). In: Communications in Computer and Information Science. Springer, pp. 307-330.

Rajkamal, N. and Jothilakshmi, G. R. (2025) Hybrid deep learning based vanished object detection and tracking in underwater image processing. Ships and Offshore Structures. pp. 1-14. ISSN 1744-5302

Ramachandran, Lalitha and S, Shanthana and Gokulakrishnan, A. and Kumar, Sunil and KS, Vishal and Sahaana, G. (2024) Decentralized Financial Stocks Prediction Using Deep Regression Learning. In: 2024 2nd International Conference on Disruptive Technologies (ICDT), Greater Noida, India.

Ramakrishna, Kolikipogu and Vishwa Priya, V. (2024) Optimization of Crop Yield Prediction Through Linear Modelling and Deep Learning Techniques Used in Precision Agriculture. Communications on Applied Nonlinear Analysis, 32 (3). pp. 577-591. ISSN 1074-133X

Ramalakshmi, Satyanarayana and Sathyapriya, Selvaraj and Senthil, Renganathan and Anand, Thirunavukarasou and Saravanan, Konda Mani (2025) Integrating Deep Learning and Molecular Dynamics to Identify GPR17 Ligands for Glioblastoma Therapy. Current Chemical Biology, 19 (1). pp. 38-49. ISSN 22127968

Ramya, S. and Sumalatha, V. (2024) An Ensemble Deep Learning and Modified Wild Horse Optimization based Pixel Selection for Secured Content-based Medical Image Retrieval. In: 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.

Ranjith, D. and Sakthivanitha, M. (2025) A Novel Multi-Modal Deep Learning Framework for Early Detection of Ocular Diseases. In: 2025 International Conference on Intelligent Computing and Control Systems (ICICCS), Erode, India.

Reddy, B. Siva Kumar and Balakrishna, R. (2022) A review on detection of prostate cancer using deep learning techniques. In: INTERNATIONAL CONFERENCE ON RECENT INNOVATIONS IN SCIENCE AND TECHNOLOGY (RIST 2021), 19–20 June 2021, Malappuram, India.

Reddy, G.Veera Sankara and Vijayaraj, S. (2025) Optimizing high voltage gain interleaved boost converters for PV and wind systems using hybrid deep learning with bitterling fish and secretary bird algorithms. Franklin Open, 11. p. 100291. ISSN 27731863

Reddy, K. Rama Gangi and Thirunavukkarasu, K.S. (2024) Deep Learning Approach for Disease Detection in Sweet Lemon Leaves to Enhance Citrus Fruit Yield. In: 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India.

Reddy, Siva Kumar and Kathirvelu, Kalaivani (2024) Hybrid Optimization Enabled Deep-Learning for Prostate Cancer Detection. Sensing and Imaging, 25 (1). ISSN 1557-2072

Reddy K.V, Siva Prasad and Meera, S. (2024) An Improved Deep Forest Classification and Intelligent Segmentation for skin Cancer Prediction Technique Inspired by Whale Optimization. In: 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India.

Revathy, G. and Maheswari, P. Uma and Madhavi, S. and P, Vijay Anand and Begum, R. Vajubunnisa and Jasmin, H. (2024) CancerAI: A Deep Learning Framework for Ovarian Cancer Prediction. In: 2024 5th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

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S, Esakkiammal and Kasturi, K. (2025) Unlocking Scholarly Insights Using Deep Learning-Based Evaluation Method for Research Impact Assessment in Academic Institutions. In: 2025 International Conference on Automation and Computation (AUTOCOM), Dehradun, India.

Sabarish, M. and Arunachalam, A.S. (2023) A Trust Secure Attacker Detection with Upgraded Deep Learning-Assistance for SDN Networks. In: 2023 12th International Conference on System Modeling & Advancement in Research Trends (SMART), Moradabad, India.

Sabarish, P. and Rosaline, S. and Sivarajan, S. and Permila, T. R. and Sujatha, G. and Sasikumar, M. (2024) Performance Analysis of Deep Learning RBFNN Algorithm Based Bridge/Concrete Detection. In: 2024 2nd International Conference on Computer, Communication and Control (IC4), Indore, India.

Sadakuthulla, P.K and Parameswari, R. (2025) An Integrative Hybrid Deep Learning Framework for Complex Multifaceted Lung Pathologies Classification using Chest X-Rays. In: 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

Sahaai, Madona B and Jothilakshmi, G R (2021) Hierarchical based tumor segmentation by detection using deep learning approach. Journal of Physics: Conference Series, 1921 (1). 012080. ISSN 1742-6588

Sahaai, Madona B and Jothilakshmi, G. R. and Selva Kumar, R and Praveen Kumar, S (2022) Comparative Analysis on Brain Tumor Classification using Deep Learning Models. In: 2022 IEEE International Conference on Data Science and Information System (ICDSIS), Hassan, India.

Sahaai, Madona B and Karthika, K and Cameron Theoderaj, Aaron Kevin (2025) EC-HDLNet: Extended coati-based hybrid deep dilated convolutional learning network for brain tumor classification. Biomedical Signal Processing and Control, 107. p. 107865. ISSN 17468094

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