Items where Subject is "Deep Learning"

Group by: Creators | Item Type
Number of items at this level: 35.

Article

Adhavan, B (2023) A novel deep learning-based approach for detecting attacks in social IoT. Soft Computing. ISSN 1432-7643

Aramuthakannan, S and Lokesh, S (2023) Movie recommendation system using taymon optimized deep learning network. Journal of Intelligent & Fuzzy Systems, 45 (5). pp. 7675-7690. ISSN 10641246

Aramuthakannan, S and Lokesh, S and Manimegalai, R (2023) Movie recommendation system via fuzzy decision making based dual deep neural networks. Journal of Intelligent & Fuzzy Systems, 44 (3). pp. 5481-5494. ISSN 10641246

Gnanavel, V K and Baskaran, J (2022) An optimal deep learning based Islanding power quality detection technique for distributed generation systems. Journal of Intelligent & Fuzzy Systems, 43 (4). pp. 4071-4081. ISSN 10641246

Jayasanthi, M (2021) Independent component analysis with learning algorithm for electrocardiogram feature extraction and classification. Signal, Image and Video Processing, 15 (2). pp. 391-399. ISSN 1863-1703

Lokesh, S (2023) Jacobian linear regression and Tate Bryant Euler angle enabled autonomous vehicle LiFi communication sustained IOT. Automatika, 64 (4). pp. 1095-1106. ISSN 0005-1144

Malar, E (2022) Beamforming design with fully connected analog beamformer using deep learning. International Journal of Communication Systems, 35 (7): e5109. ISSN 1074-5351

Sankarasubramanian, R S (2024) Security and Privacy Considerations in Multimedia Resource Management Using Hybrid Deep Learning Techniques in Cloud Computing. International Journal of Intelligent Engineering and Systems, 17 (3). pp. 239-249. ISSN 21853118

Senthilkumar, M (2023) Performance Investigation of Generalized Rain Pattern Absorption Attention Network for Single-Image Deraining. Journal of Circuits, Systems and Computers, 32 (13). ISSN 0218-1266

Book Section

Gomathi, B (2024) Advancement in physical education teaching and assessment based on human-computer interaction with deep learning. In: Digital Analytics Applications for Sustainable Training and Education. Apple Academic Press, New York, pp. 377-398. ISBN 9781032713366

Gomathi, B (2024) Deep Learning-Based Smart Healthcare System for Patient's Discomfort Detection: Trends, Challenges and Applications. In: Deep Learning for Smart Healthcare. Auerbach Publications, Boca Raton, pp. 107-128. ISBN 9781003469605

Jothibasu, M and Sowmiya, M and Harsha, R and Naveen, K S and Suriyaprakash, T B (2023) Improvement of computer vision-based elephant intrusion detection system (EIDS) with deep learning models. In: Innovative Engineering with AI Applications. Wiley Blackwell, pp. 131-153. ISBN 9781119792161

Sankarasubramanian, R S (2024) Facial Emotion Recognition Using Deep Learning. In: Intelligent Computing for Sustainable Development (ICICSD 2023). Communications in Computer and Information Science (2121). Springer, Singapore, pp. 109-123. ISBN 9783031612879

Sowmiya, M (2021) Deep Learning in Smart Applications: Approaches and Challenges. In: Challenges and Solutions for Sustainable Smart City Development. Springer, pp. 49-73. ISBN 9783030701826

Susithra, N and Santhanamari, G and Deepa, M and Reba, P (2021) Deep Learning-Based Activity Monitoring for Smart Environment Using Radar. In: Challenges and Solutions for Sustainable Smart City Development. EAI/Springer Innovations in Communication and Computing . Springer, pp. 91-123. ISBN 9783030701833

Conference or Workshop Item

Archana, D (2024) Enhanced Framework for Concurrent correction and Segmentation in Retinal Optical Coherence Tomography. In: 2024 International Conference on Communication, Computing and Internet of Things (IC3IoT), Chennai, India.

Archana, D and Naveen, R S and Janarthanan, K and Ragavendran, R M (2023) Automated Classification of Chest Image Using Deep Learning. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India.

Baskaran, J (2022) Automation of Traffic Control Systems with Deep Q-Learning Network. In: 2022 International Conference on Power, Energy, Control and Transmission Systems (ICPECTS), Chennai, India.

Bavithra, K (2023) Optimizing Supply Chain Efficiency: Integrating Deep Learning and Blockchain Technologies. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India.

Bavithra, K and Nandhini, B and Ruth Jeba Kumari, S and Sirpikadevi, M and Sugassini, M (2022) Plant Disease Detection and Classification Using Deep Learning CNN Algorithms. In: 2022 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bangalore, India.

Bhuvana, S and Anjhanaa, A A and Bala Keerthana, K K B and Sivadharshini, K (2022) Covid-19 Detection using Chest X-Rays with Image based Deep Learning. In: 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Harshavardhini, U (2024) Development of Virtual Reality Platform through Human Computer Interaction using Artificial Intelligence. In: 2024 3rd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India.

Hemkiran, S and Pradeepa, T and Samukthaa, R S and Ajay Raj, R (2023) Analysis of various Classification Techniques using CNN models for the Detection of Alzheimer’s Disease using MRI images. In: 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), Delhi, India.

Krishneth, A and Dharaneesh, J D and Jisnu, S and Sivaganesan, D (2023) Web-plugin to Detect Clickbait in News Articles using RNN and LSTM. In: 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

Maha Vishnu, V C and Vikhas, S G and Shyamganesh, T and Roopakumar, S and Kavin, S V (2023) Pattern Recognition Algorithm to Detect Suspicious Activities. In: 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India.

Malar, E and Subhiksha, S and Nandhakumar, G (2023) A 5 Class Classification of ECG Using SRCNN and CNN Using MIT-BIH Arrhythmia Dataset. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India.

Manimegalai, R and Ramya, A and Swedha, S U and Pruthvi, M and Lokesh, S (2022) Deep Learning Based Approach for Identification of Parkinson’s Syndrome. In: 2022 International Conference on Intelligent Innovations in Engineering and Technology (ICIIET), Coimbatore, India.

Prasanna Rahavendra, A and Praneash, G P and Rashmika, T and Aravindhraj, N (2022) Forest Fire Detection using Computer Vision. In: 2022 3rd International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Raju, J and Anand, Krteen and Krishna Kumar, D and Sivaganesan, D (2023) Brain Tumor Identification and Classification Using Enhanced Convolution Neural Network. In: 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India.

Santhanamari, G (2023) Advancements in Imaging Technologies for Enhanced Cardiac Diagnostics: A Comprehensive Review. In: 2023 International Conference on Intelligent Technologies for Sustainable Electric and Communications Systems (iTech SECOM), Coimbatore, India.

Senthilkumar, M (2023) Comprehensive Experimental Evaluation of Open Source Deep Learning Framework for Single Image Deraining Applications. In: 2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT), Erode, India.

Sivaganesan, D and Venkateshwaran, M (2023) Image to Audio Conversion to Aid Visually Impaired People by CNN. In: 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Vilasini, V (2024) Diabetic Foot Ulcer Detection using Deep Learning Approaches. In: 2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC), Bengaluru, India.

Vilasini, V and Kiruthik Vishaal, S and Jaiprakash, R and Cibi Siddaarth, R (2023) MNIST Digit Classification using Parallelised Convolutional Neural Network. In: 2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India.

Vilasini, V and Sandeep, V and Charan Venkatesh, Vishnu (2022) Deep Learning Techniques to Detect Learning Disabilities Among children using Handwriting. In: 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT), Kannur, India.

This list was generated on Fri Sep 20 02:49:35 2024 IST.