Advanced Technologies in Electronics, Communications and Signal Processing
First EAI International Conference, ICATECS 2024, Hyderabad, India, July 26–27, 2024, Proceedings, Part I
Paperback Engels 2025 9783031942792Samenvatting
This book LNICST 619 constitutes the proceedings of the First EAI International Conference on Advanced Technologies in Electronics, Communications and Signal Processing, ICATECS 2024, held in Hyderabad, India, during July 26–27, 2024.
The 65 full papers were carefully reviewed and selected from 210 submissions. They were categorized under the topical sections as follows:
Wireless Communication and IoT; RF and Signal processing; VLSI System Design; Machine Learning and Deep Learning Applications.
Specificaties
Lezersrecensies
Inhoudsopgave
SPEED VLSI CIRCUITS.- Design of Combinatorial LFSR for Multimode Test Applications.- Machine Learning and Deep Learning Applications.- Enhanced Bone Image Segmentation using Adamax Optimizer: Implementation and Evaluation.- Classification of Digital Mammographic Images for Breast Tumor Using AlexNet Model on DDSM and MIAS Dataset.- Crop Type Mapping using Hyperspectral Remote Sensing Image Classification.- Multi Feature Based Crop Damage Detection System using Aerial Images.- Under Water Image Stabilization and Detection using CNN.- Advancing Image Synthesis Deep Laplacian Pyramid Networks for High Quality Super Resolution.- A Robust Model for Fake Face Detection Using Deep Learning and Image Processing.- Diabetic Retinopathy image classification using Machine Learning (ML) and Deep Learning (DL) Algorithms.- Classification of Hydroponic Lettuce Leaves using Convolutional Neural Networks.- Identification and Categorization of Diabetic Retinopathy Using Modified Rider Optimization Algorithm.- A Deep Belief Network Architecture for Knee Osteoarthritis Prediction Data Deployment.- Investigating Contemporary Research and Techniques for Early Stage Diabetes Risk Prediction A Comprehensive Review.- Habitat Suitability Prediction.- Quantum inspired Fermionic Operator Representation for Interpreting Human Cognition through Smile Classification.
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