Items where Subject is "Neural Network"

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Anuradha, B and A. D, Sheena. and J, Hemamalini. and Packialakshmi, S. and Nagamani, K and UdayaBanu, T. (2025) Artificial Neural Networks-Based Machine learning for Analysis of Sub-surface Water quality. In: 2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), Chennai, India.

Arif, M. K. and Kathiruvelu, Kalaivani (2024) Recurrent Neural Network with Tunicate Swarm Optimization and Shift Delta Cepstrum for Automated Driver Health Monitoring System. In: 2024 2nd World Conference on Communication & Computing (WCONF), RAIPUR, India.

Arumugam, Sajeev Ram and Devi, E.Anna and Rajeshram, V. and R, Balakrishna and Karuppasamy, Sankar Ganesh and Kumar, S.Vinoth (2022) A Robust Approach based on CNN-LSTM Network for the identification of diabetic retinopathy from Fundus Images. In: 2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC), Chennai, India.

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Balamurugan, M and Meera, Dr. S. (2024) Hybrid optimized temporal convolutional networks with long short-term memory for heart disease prediction with deep features. Computer Methods in Biomechanics and Biomedical Engineering. pp. 1-25. ISSN 1025-5842

Balasree, K. and Dharmarajan, K. (2024) Thyroid Detection and Recognition Based on Multi-Layer Recursive Neural Network (ML-RNN) Using in Deep Learning. In: 2024 3rd International Conference on Sentiment Analysis and Deep Learning (ICSADL), Bhimdatta, Nepal.

Bharathi Vidhya, R. and Jerritta, S. and Thiyagasundaram, T. (2024) Deep neural network-based stress detection using biosignals. In: Affective Computing Applications using Artificial Intelligence in Healthcare: Methods, approaches and challenges in system design. Institution of Engineering and Technology, pp. 133-146. ISBN 9781839537325

Bhyrapuneni, Srikanth and Anandan, R. (2021) Relevant Text Extraction Using Enhanced Artificial Neural Network Fuzzy Inference System. In: Advances in Intelligent Systems and Computing. Springer, pp. 441-449.

Bhyrapuneni, Srikanth and Rajendran, Anandan (2022) A Comparative Analysis for Optical Character Recognition for Text Extraction from Images Using Artificial Neural Network Fuzzy Inference System. Traitement du Signal, 39 (1). pp. 283-289. ISSN 07650019

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Chandrika, G Naga and Rini, Chowdhury and Prashant, Kumar and K, Sangamithrai and E, Glory and M D, Saranya (2024) Ensemble learning based Convolutional Neural Network – Depth Fire for detecting COVID-19 in Chest X-Ray images. Journal of Electronics, Electromedical Engineering, and Medical Informatics, 7 (1). pp. 47-55. ISSN 2656-8632

Chitra, K. and Shanthi, C. (2022) Performance Evaluation of Optimized Convolutional Neural Network Approach in Prediction of Fatigue Driver. In: 2022 1st International Conference on Computational Science and Technology (ICCST), CHENNAI, India.

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Devi, Chingakham Nirma and Renuga Devi, R. (2022) Big Data Analytics Based Sentiment Analysis Using Superior Expectation-Maximization Vector Neural Network in Tourism. In: 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India.

Devi, K. Anitha and Priya, R. (2023) Dense Convolution Neural Network for Complex land Cover Classification and change detection using Landsat OLI 8 hyperspectral Image. In: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India.

Devi, K. Anitha and Priya, R. (2023) Multi-Strategies inferred Convolution Neural Network for Land Cover Classification through Landsat 8 OLI Hyperspectral Images. In: 2023 International Conference on New Frontiers in Communication, Automation, Management and Security (ICCAMS), Bangalore, India.

Dutta, Proma and Kanti Podder, Kanchon and Islam Sumon, Md. Shaheenur and Chowdhury, Muhammad E. H. and Khandakar, Amith and Al-Emadi, Nasser and Hossain Chowdhury, Moajjem and Murugappan, M. and Arselene Ayari, Mohamed and Mahmud, Sakib and Muyeen, S. M. (2024) GearFaultNet: Novel Network for Automatic and Early Detection of Gearbox Faults. IEEE Access, 12. pp. 188755-188765. ISSN 2169-3536

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Gajavalli, J. and Jeyalaksshmi, S. (2024) Plant Disease Detection Automation Using Deep Neural Networks. In: Advancements in Smart Computing and Information Security. Springer, pp. 96-109.

Gayathri, D. and Raghavendran, V. (2025) Securitizing Patient Records Using Ethereum Smart Contract Graph Embedded Neural. In: Securitizing Patient Records Using Ethereum Smart Contract Graph Embedded Neural. Springer, pp. 683-694.

Grija, M and Divya, V (2025) An Intelligent Driving Recommendation System Integrating Temporal Convolutional Networks and Fuzzy Logic for Real-Time Traffic and Weather Optimization. International Journal of Engineering Trends and Technology, 73 (6). ISSN 22315381

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Haripriya, T. and Dharmarajan, K. (2024) An Innovative Research of Liver Fibrosis Imaging Using DCNN Neural Network. In: 2024 International Conference on IoT, Communication and Automation Technology (ICICAT), Gorakhpur, India.

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Iyappan, K. and T, Janani and Bharathi, A. and Justin, Z. and Praveena, S and Agnihotri, Kuldeep (2025) Predicting Consumer Purchase Behavior Influenced by Corporate Social Responsibility Using Deep Convolutional Neural Network Models. In: 2025 6th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

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J, Biju and R, Jeevitha and Richard, Titus and Chowdhury, Rini and Kumar, Prashant and Radhika, K. (2024) Evaluating Generative Adversarial Networks Performance in Image Synthesis with Graphical Analysis of Loss Functions and Quality Metrics. In: 2024 International Conference on Integrated Intelligence and Communication Systems (ICIICS), Kalaburagi, India.

Jansi, B. and Sumalatha, V. (2024) Uniform distribution tuna swarm optimisation and deep neural network for foetal health classification. International Journal of Bioinformatics Research and Applications, 20 (3). pp. 244-263. ISSN 1744-5485

Jayaprabha, M. S. and Vishwa Priya, V. (2024) Chronic Kidney Disease (CKD) Prediction Using Stochastic Deep Radial Basis for Feature Extractiona Residual Neural Network. SN Computer Science, 5 (7). ISSN 2661-8907

Jeyalaksshmi, S. and Preethika, S. K. Piramu and Hannah, J. Grace and Sathya, S. and Radhakrishnan, Sangeetha and Priscila, S. Silvia (2024) Prediction of Cancer Blood Disorder Using Adaptive Otsu Threshold and Deep Convolutional Neural Networks:. In: Advancements in Clinical Medicine. IGI, pp. 303-316.

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K, Jabir. and Kamalakkannan, S. and Smiles, J. Anita (2024) Efficient Lung Cancer Detection Based on Support Scalar Vector Feature Selection with Fuzzy Optimized-Multi Perceptron Neural Network Using Natural Language Processing. In: 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India.

K, Jose Reena and Nigam, Charul and Kirubasri, G. and Jayachitra, S. and Aeron, Anurag and Suganthi, D. (2024) Real-Time Object Detection on Edge Devices Using Mobile Neural Networks. In: 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangalore, India.

K, Pooja and S, Jerritta (2025) Enhanced Detection of Gastric Cancer in Endoscopic Images Using Advanced Deep Convolutional Neural Networks with Custom Architectures. In: 2025 Seventh International Conference on Computational Intelligence and Communication Technologies (CCICT), Sonepat, India.

Kalaiselvi, K and Sujarani, P (2018) Correlation Feature Selection (CFS) and Probabilistic Neural Network (PNN) for Diabetes Disease Prediction. International Journal of Engineering & Technology, 7 (3.27). p. 325. ISSN 2227-524X

Kalaivani, M. S. and Jayalakshmi, S. (2022) A Novel Approach for Sentiment Classification by Using Convolutional Neural Network. In: Proceedings of Second International Conference on Sustainable Expert Systems. Springer, pp. 143-152.

Karthik, D. and Arun, S. (2024) Empowered Artificial Intelligence Approach using Intuitionistic Fuzzy based Deep Neural Network for Chronic Diseases Prediction. In: 2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE), Shivamogga, India.

Karuppasamy, Sankar Ganesh and Muralitharan, Divya and Gowr, Sheela and Arumugam, Sajeev Ram and Devi, E.Anna and Maharajan, K. (2022) Prediction of Autism Spectrum Disorder using Convolution Neural Network. In: 2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), Tirunelveli, India.

Kavitha, S. J. and Sridevi, S. (2025) Breast Cancer Classification Using Graph Convolutional Networks and DenseNet121 with Pruning. Journal of Shanghai Jiaotong University (Science). ISSN 1007-1172

Kumar, Veernapu Sudheer and Mori, Gajendrasinh Natvarsinh and R, Suresh Kumar K and Josephson, P Joel and Kumar, N. and Nithya, R (2025) Detecting Jamming and Spoofing Attacks on Unmanned Aerial Vehicles with Advanced Neural Network Models. In: 2025 Global Conference in Emerging Technology (GINOTECH), PUNE, India.

Kumudham, R and Kumar, Sathish and Megalan, Leo L and Sivakumar, S and Venkateshkanna, T and Velmurugan, V. (2022) Comparative Analysis on Sediment Classification using Convolutional Neural Network. In: 2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), Chennai, India.

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M S, Fathima and B, Booba (2024) Enhancing Plant Leaf Disease Detection: Integrating Mobilenet With Local Binary Pattern And Visualizing Insights With Grad-Cam. In: 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India.

Meenakshi, J. and Thailambal, G. (2024) Gender and age classification using ASMNet based facial fiducial detection and Jordan neural network. Progress in Artificial Intelligence, 13 (4). pp. 293-306. ISSN 2192-6352

Meera, S. and P, Ajanya (2024) An effectual underwater image enhancement framework using adaptive trans-resunet ++ with attention mechanism. Journal of Experimental & Theoretical Artificial Intelligence. pp. 1-29. ISSN 0952-813X

Mythili, R. and Aneetha, A. S. (2024) Enhancing Heart Disease Prediction Using Artificial Neural Network with Preprocessing Techniques. In: Communications in Computer and Information Science. Springer, pp. 270-280.

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Narayanan, Sivanesan and Archana, K. S. (2024) Auto metric graph neural network optimized with woodpecker mating algorithm for detecting network layer attacks in mobile ad hoc networks. Smart Science, 12 (2). pp. 305-318. ISSN 2308-0477

Nithya, B. and Sripriya, P. (2022) Feature-Level Fusion of Multimodal Biometric for Individual Identification by Training a Deep Neural Network. In: Inventive Communication and Computational Technologies. Springer, pp. 145-159.

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P, Jeneessha and Balasubramanian, Vinoth Kumar and Murugappan, M (2024) WBC-KICNet: knowledge-infused convolutional neural network for white blood cell classification. Machine Learning: Science and Technology, 5 (3). 035086. ISSN 2632-2153

Peram, Prashanthi and Narayanan, Kumar (2022) Diffusion Convolutional Recurrent Neural Network-Based Load Forecasting During COVID-19 Pandemic Situation. Revue d'Intelligence Artificielle, 36 (5). pp. 689-695. ISSN 0992499X

Pereira, Leema and P, Tamilselvi. (2024) Modelling Of Fusion Artificial Neural Networks For Assessment Of Air Pollution In Smart City Environment. In: 2024 7th International Conference on Circuit Power and Computing Technologies (ICCPCT), Kollam, India.

Prabha, R. and A, Mr. Senthil G. and Anandan, P. and Sivarajeswari, S. and Saravanakumar, C. and Vijendra Babu, D. (2022) Design of an Automated Recurrent Neural Network for Emotional Intelligence Using Deep Neural Networks. In: 2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT), Tirunelveli, India.

Priyanka, S. and Prema, A. (2022) Real-Time Cold Chain Forecasting Model for Agricultural Logistic Transportation using Feature Centric Deep Neural Classification for Seasonal Recommendation. In: 2022 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA), Coimbatore, India.

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Rajanandini, A. and Jaya, T. (2022) Adaptive power allocation with energy efficiency in 5 g multitier networks using a hybrid heuristic approach. Sustainable Energy Technologies and Assessments, 53. p. 102660. ISSN 22131388

Ravikumar, D. and Devi, V. and Raaza, Arun (2018) Development of Brain Computer Interface, using Neural Network. Research Journal of Pharmacy and Technology, 11 (10). p. 4397. ISSN 0974-3618

Ravisankar, Priyadharsini and Sree Sharmila, T. and Rajendran, V. (2018) Acoustic image enhancement using Gaussian and laplacian pyramid – a multiresolution based technique. Multimedia Tools and Applications, 77 (5). pp. 5547-5561. ISSN 1380-7501

Revathy, G. and Suthanthiradevi, P. and Sathishkumar, P. and Sivakumar, S. and Leo, L. Megalan and Rajasekar, A. (2025) A Novel Framework for DNS Exfiltration Malware—Optimizing Neural Network Hyperparameters Using Swarm Intelligent Algorithm. In: Lecture Notes in Electrical Engineering ((LNEE,volume 1307)). Springer Nature Link, pp. 45-56.

Rubini, B. and Manoj, S. and G, Kalaiarasi and Nithish, N. and Lokesh, K. and Prashanth, P. (2025) A Short-Term Commercial Buildings Load Forecasting Framework using the Firefly Algorithm and Artificial Neural Network. In: 2025 7th International Conference on Intelligent Sustainable Systems (ICISS), India.

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S, Parvathy and A, Packialatha (2024) Secured Fog-Body-Torrent : A Hybrid Symmetric Cryptography with Multi-layer Feed Forward Networks Tuned Chaotic Maps for Physiological Data Transmission in Fog-BAN Environment. International Journal of Computational and Experimental Science and Engineering, 10 (4). ISSN 2149-9144

S., Akila and S., Prasanna (2024) Experimental Analysis Using Hybrid Convolutional Neural Networks, Gradient Boosting Classifier, and Differential Algorithm for Detection of COVID-19 from X-Ray Images. International Journal of Electronics and Communication Engineering, 11 (2). pp. 9-23. ISSN 23488549

Saraogi, Saanjhi and Saraogi, Sakshi and Phamila Y, Asnath Victy and Kathirvelu, Kalaivani (2024) Neural networks and LDA-based machine learning framework for the early detection of breast cancer. In: Artificial Intelligence in Medicine. CRC Press, Boca Raton, pp. 15-34. ISBN 9781003369059

Senthil, G. A. and Prabha, R. and Sridevi, S. and Deepa, R. and Shimona, S. (2025) A Novel Smart Facial Features for Real-Time Motorists Sleepiness Prediction and Alerting System Using Hybrid Deep Convolutional Neural Network in Computer Vision. In: Communications in Computer and Information Science ((CCIS,volume 2125)). Springer Nature Link, pp. 3-16.

Senthil Kumar, A and Kesavan, Selvaraj and Neeraj, Kumar and Sharath Babu, N and Sasikala, K and Addisu, Bethelegem (2024) Detection of Leaf Blight Disease in Sorghum Using Convolutional Neural Network. In: Communications in Computer and Information Science. Springer, pp. 123-134.

Senthilarasi, S. and Kamalakkannan, S. (2022) The Role of Convolutional Neural Network in Vehicle Detection on Spatial - Temporal Road Traffic Data. In: 2022 International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India.

Senthilkumar, V. and Jayalakshmi, V. (2022) Radial Basis Function Networks for Image Restoration with Stochastic Normalizations as Bayesian Learning in Deep Conventional Neural Network. In: 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India.

Shabana, A. and Kavitha, P. and Kamalakkannan, S. (2024) Deep Generative Decision Neural Network Approach for Effective Early Prediction of Meninges. In: 2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India.

Singh, Laishram Kirtibas and Renuga Devi, R. (2022) Analysis of Student Sentiment Level using Perceptual Neural Boltzmann Machine Learning Approach for E-learning Applications. In: 2022 International Conference on Inventive Computation Technologies (ICICT), Nepal.

Singh, Laishram Kirtibas and Renuga Devi, R. (2024) Spectral Pattern Learning Approach‐based Student Sentiment Analysis Using Dense‐net Multi Perception Neural Network in E‐learning Environment. In: Applying Artificial Intelligence in Cybersecurity Analytics and Cyber Threat Detection. Wiley, pp. 151-164. ISBN 9781394196470

Sivanesan, N. and Archana, K. S. (2024) Retraction Note: Detecting distributed denial of service (DDoS) in SD-IoT environment with enhanced firefly algorithm and convolution neural network. Optical and Quantum Electronics, 56 (9). ISSN 1572-817X

Somasundaram, S. and Gobinath, R. (2019) A Hybrid Convolutional Neural Network and Deep Belief Network for Brain Tumor Detection in MR Images. International Journal of Recent Technology and Engineering, 8 (2S4). pp. 979-985. ISSN 2277-3878

Sridevi, G. and Sharmila, K. (2024) Breast Cancer Detection by Improving Feature Selection and Classify using Ensemble Artificial Neural Network method. In: 2024 Third International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT), Trichirappalli, India.

Sridhar, A. S. and Nagasundaram, S. (2024) Sentiment classification for review rating prediction based on hybrid reaction diffusion support vector neural network. Social Network Analysis and Mining, 14 (1). ISSN 1869-5469

Subha, V. and Kasturi, K. (2024) A comparative stratification of Automated Indagation on Apple Disease Using DeepSpectral Generative Adversarial and Densenet Convolutional Neural Network. In: 2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India.

Sudharani, P. and Mahammed Basha, T S and Kalyanarao, B and R Ramana, Reddy (2023) Design of a Dual-Band Square Patch Antenna with L- Shaped Stubs and DGS for C & X-Band Applications. In: 2023 IEEE Wireless Antenna and Microwave Symposium (WAMS), Ahmedabad, India.

Sujatha, K. and Ponmagal, R.S. and Janaki, N. and Bhavani, N.P.G. and Cao, SuQun (2024) Automated Early Detection of Diabetes Mellitus from Retinal Fundus Images Using Residual U-Network Approach. In: Deep Learning in Diabetes Mellitus Detection and Diagnosis. CRC Press, Boca Raton, pp. 55-66. ISBN 9781032708430

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Thailambal, Dr. G. and Shanmugalakshmi, Ms. P. and Durga, Dr. R. (2019) A Novel Method of Rainfall Prediction using MLP-FFN and Hybrid Neural Network Algorithm. International Journal of Innovative Technology and Exploring Engineering, 8 (10). pp. 2858-2862. ISSN 22783075

Tharani, A P and Poonguzhali, S (2024) Enhanced Community Identification Based on Spider Ant Colony Relative Feature Mining Algorithm Using Dense Net Convolutional Neural Network. In: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kamand, India.

Thirupathy, Maridurai and Vadivel, Muthuraman (2024) Experimental Investigation on the Mechanical Properties of Jute Fiber and Silica Nano Particles Using Artificial Neural Network. In: The International Conference on Processing and Performance of Materials (ICPPM 2023).

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Udayakumar, Puthiyavan and Anandan, R. (2025) Comparative Study of Lightweight Encryption Algorithms Leveraging Neural Processing Unit for Artificial Internet of Medical Things. International Journal of Computational and Experimental Science and Engineering, 11 (1). ISSN 2149-9144

Umamaheswari, N. and Kumutha, K. and Kalaivani, M. S. and Ramya, R. (2024) Backpropagation Shuffled Leaping Neural Network Implementation in Classification of DDoS Packet Flow Traffic in Data Mining. SN Computer Science, 5 (8). ISSN 2661-8907

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V, Jayalakshmi and P, Thilakavathy and G, Manikandan and R, Deepa and R, Surendran (2024) Deep Learning for Sentiment Analysis with Adaptive Neural Networks for Emotion Classification. In: 2024 International Conference on Sustainable Communication Networks and Application (ICSCNA), Theni, India.

V, Vishwa Priya and Chattu, Padmini and Sivasankari, K. and Pisal, Dnyaneshwar Tukaram and Renuka Sai, Bantupalli and Suganthi, D. (2024) Exploring Convolution Neural Networks for Image Classification in Medical Imaging. In: 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangalore, India.

Vadivel, S. and Jayakarthik, R. (2022) Predictive analytics on Covid using recurrent neural network. In: RECENT TRENDS IN SCIENCE AND ENGINEERING, 27–28 February 2021, Krishnagiri, India.

Vidhya, A. and Parameswari, R. (2021) Neural Network based Ramp Raise Optimized Algorithm for Prediction of Seizure Pre-ictal Stage. In: 2021 2nd International Conference on Smart Electronics and Communication (ICOSEC), Trichy, India.

Vijayan, Vinodh P. and Gopinathan, E. (2015) Design of Collision-free Nearest Neighbor Assertion and Load Balancing in Sensor Network System. Procedia Computer Science, 70. pp. 508-514. ISSN 18770509

Vijayarangam, J. and Kamalakkannan, S. and Smiles, J. Anita (2021) A Novel Comparison of Neural Network and Decision Tree as Classifiers using R. In: 2021 Fifth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India.

VishwaPriya, V. and RenugaDevi, R. (2022) Adaptive Deep Belief Neural Networks for Pre-Term Birth Clinical Record to Sense Neonatal Apnea Level Classification. In: 2022 International Conference on Edge Computing and Applications (ICECAA), Tamilnadu, India.