IIETA | Advancing the World of Information and Engineering

Optimized Hybrid Convolution Neural Network with Machine Learning for Arabic Sign Language Recognition

Content-Based Image Retrieval Using Composite Feature Vectors with Edge Features Based on Color and Pixel Similarity

A Novel End-to-End Deep Learning Approach for Skin Cancer Detection Based on Web Application

Retinal Image Enhancement Through Hyperparameter Selection Using RSO for CLAHE to Classify Diabetic Retinopathy

Performance Analysis of Hybrid – BCI Signals Using CNN for Motor Movement Classification

Enhancement of Hybrid Deep Neural Network Using Activation Function for EEG Based Emotion Recognition

Improving Efficiency in Prediction of Dementia Using Deep Learning Technique

An Automated Computed Tomography Scan Analysis Framework for COVID-19 Detection Using Machine Learning

Intrusion Signalling System by Using AH-MAC in Network-Coded Mobile Small Cells

Enhanced Image Super Resolution Using ResNet Generative Adversarial Networks

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