Exploring the Intersection of Information Theory and Machine Learning

Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Mohammad Alia,Khalid Suwais,Sally Almanasra

#Information theory #machine learning #entropy #mutual information #information bottleneck

An Efficient Integrity and Authenticated Elliptic Curve Cryptography Algorithm for Secure Storage and Routing in TLS/SSL

Josepha Menandas,Mary Subaja

#Elliptic curve cryptography #transport layer security #confidentiality #authentication #integrity #chinese remainder theorem #hash algorithm #point arithmetic

NS-PPO: A Two-Stage Data Resampling Framework for the Initial Phase of Software Defect Prediction

Xiaowei Zhao,Xuanye Wang,Siliang Suo,Lu Lu

#Software defect prediction #class imbalance #deep reinforcement learning

Enhancing IoV Integration: The Critical Role of Secure Data Transmission in IoT and Electric Vehicle Ecosystems

Faisal Faisal,Moamin Mahmoud,Abba Hassan,Salama Mostafa,Saraswathy Gunasekaran

#Internet of things #electric vehicles #internet of vehicles #security #data protection #blockchain #smart grid

Deep Learning-Based Control System for Context-Aware Surveillance Using Skeleton Sequences from IP and Drone Camera Video

Vasavi Sanikommu,Sobhana Mummaneni,Novaline Jacob,Emmanuel Sanjay Raj K.C,Bhartendra Kumar,Radha Devi Pullur Variam

#Computer vision #human activity recognition #face recognition #crowd video surveillance #deep learning #feature extraction

Location-Based Routing Protocol with Optimized Data Aggregation for Vehicular Ad Hoc Networks (VANETs)

Abdelkrim Houacine,Mansour Mekour

#VANETs #dynamic routing #data efficiency #location-aware communication #mobility optimization

Ecological Capacity Assessment of Forest Park Tourists by Integrating Attention Mechanisms and Remote Sensing Images

Qiaofeng Zhou

#Attention mechanisms #remote sensing imagery #tourist #ecological capacity

Unsupervised Convolutional Autoencoder Framework for Multimodal Medical Image Fusion in Brain Tumour Diagnosis

Saravanan Vijayan,Malarvizhi Subramani

#Unsupervised learning #autoencoders #image fusion #medical images #brain tumours

Adaptive Red Panda Optimization for Feature Extraction in Diabetic Retinopathy Detection Using Deep Learning

Mahesh Ramakrishnappa,Rohith Shivashankar

#Diabetes #diabetic retinopathy detection #convolutional neural network #U-net #red panda optimization

Precision Pursuit: A Spectral Decomposition-Driven Adaptive Block Measurement Matrix for Enhanced Compressive Sensing in Imaging

Aarthi Elaveini,Deepa Thangavel

#Hybrid sensing matrix #sparsity #recovery algorithm #OMP #CoSaMP

An Improved Taylor Hyperbolic Tangent and Sigmoid Activations for Avoiding Vanishing Gradients in Recurrent Neural Nets

Tirupati Gullipalli,Krishna Murali,Srinivasa Peri

#Vanishing gradient #taylor expansion #functional approximation #sigmoid #hyperbolic tangent #neural networks