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Advanced Technologies in Electronics, Communications and Signal Processing: First EAI International Conference, ICATECS 2024, Hyderabad, India, July 2627, 2024, Proceedings, Part I [Pehme köide]

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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 2627, 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.
Wireless Communication and IoT.- IoT Enabled Child Monitoring and
Control System via Web Interface.- An Efficient Rescheduling Scheme for
Prioritizing Safety Messages in VANETs.- Software Defined Networking (SDN)
Technologies and Architectures for Efficient, Adaptive Networks.- High
Fidelity Eye Diagram Analysis in IsOWC system with Denoising Convolutional
Autoencoder.- Fast converging AER-DQN framework for optimal Beamforming and
Power Control in 5G Networks.- ENHANCED RNS PERFORMANCE THROUGH STRATEGIC USE
OF CONJUGATE MODULI SETS.- RF and Signal processing.- A Slotted Antenna for
2.45GHz Wearable Applications.- Wide Band Circularly Polarized Slotted
Microstrip Patch Antenna for Wireless Applications.- A T Slotted Compact
Sized Antenna for 5G n78 band Applications.- Design of Semi Flexible Slotted
Patch Antenna for Biomedical Applications.- Ultra Wide Band MIMO Antenna with
Good Isolation and Band Dispensation Characteristics.- Automated Marine
Mammal Classification through Acoustic Signals using Convolutional Neural
Networks.- Design and Realisation of Data Acquisition System on Unmanned
Platform for Underwater Application.- A Robust System for Distinguishing
Natural and Whispered Speech.- VLSI System Design.- A LOW POWER AND AREA
EFFICIENT LATCH BASED SHIFT REGISTER.- Design and Analysis of 32x32 12T SRAM
Memory array for Low power applications.- A NOVEL METHOD FOR ESTIMATION
AND FUNCTIONAL STUDY OF COMPARATOR FOR ULTRA
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.