Items where Subject is "Neural Networks"

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Number of items at this level: 18.

A

Adhavan, B (2023) Fault Identification and Classification of Asynchronous Motor Drive Using Optimization Approach with Improved Reliability. Energies, 16 (6). p. 2660. ISSN 1996-1073

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

Ajith Jerome, B (2023) Design and Development of AI-Powered Healthcare WhatsApp Chatbot. In: 2023 2nd International Conference on Vision Towards Emerging Trends in Communication and Networking Technologies (ViTECoN), Vellore, India.

H

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.

I

Ilango, P (2023) A Performance Study of Prediction Models for Diabetes Prediction Using Machine Learning. In: Computational Methods and Data Engineering. Lecture Notes on Data Engineering and Communications Technologies (139). Springer, Singapore, pp. 41-53. ISBN 9789811930140

J

Jisnu, S and Dharaneesh, J D and Krishneth, A and Lokesh, S (2024) Enhancing Agricultural Decision-Making: A Supervised Machine Learning Approach. In: 2024 4th International Conference on Pervasive Computing and Social Networking (ICPCSN), Salem, India.

K

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.

M

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.

N

Navin Ganesh, V and Rajkumar, R (2023) Analysis of road traffic fatalities and injuries using artificial neural network: A case study on NH-544. In: ISET INTERNATIONAL CONFERENCE ON APPLIED SCIENCE & ENGINEERING (CASE 2021), 28–29 October 2021, Chennai, India.

R

Rajeshkumar, G (2023) Optimization and characterization of pectin recovered from Persea americana peel using statistical and non-statistical techniques. Biomass Conversion and Biorefinery, 13 (8). pp. 6501-6514. ISSN 2190-6815

S

Sanjana Chelot, Menon (2023) Robots, Cyborgs, and Modern Society: Future of Society 5.0. In: Robotic Process Automation. Wiley, pp. 243-258. ISBN 9781394166954

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

Santhiya, K (2023) Identification of Fingerprint Orientation Using Improved Generative Adversarial Network with Support Vector Machine. In: 2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, 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.

Susithra, N (2022) Speech based Emotion Recognition and Gender Identification using FNN and CNN Models. In: 2022 3rd International Conference for Emerging Technology (INCET), Belgaum, India.

T

Thiruchelve, S R (2024) Assessment of land use and land cover dynamics and its impact in direct runoff generation estimation using SCS CN method. Acta Geophysica. ISSN 1895-7455

V

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.

This list was generated on Fri Sep 20 01:34:03 2024 IST.