IIETA | Advancing the World of Information and Engineering

Enhanced Laboratory Safety Education Through Interactive Applications of Machine Learning-Boosted Image Processing Technologies

Leveraging Tripartite Tier Convolutional Neural Network for Human Emotion Recognition: A Multimodal Data Approach

Offline Handwriting Signature Verification: A Transfer Learning and Feature Selection Approach

Analyzing and Optimizing Virtual Reality Classroom Scenarios: A Deep Learning Approach

Leveraging Deep Learning for Identification of Illicit Images in Digital Forensic Investigations

Advancing Cephalometric Soft-Tissue Landmark Detection: An Integrated AdaBoost Learning Approach Incorporating Haar-Like and Spatial Features

A Hybrid Diabetic Retinopathy Neural Network Model for Early Diabetic Retinopathy Detection and Classification of Fundus Images

A Lightweight, Depth-Wise Separable Convolution-Based CapsNet for Efficient Grape Leaf Disease Detection

Improving Segmentation of Pilocytic Astrocytoma in MRI Using Genomic Cluster-Shape Feature Analysis

OD-DeepNet: Semantic Classification by Deep Learning for Optic Disc Localization

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