Items where Subject is "Neural Network"

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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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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.

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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.

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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

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, 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.

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.

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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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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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

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

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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 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.

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

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

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.

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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

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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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.