Species delimitation in morphologically complex tropical plant groups is increasingly supported by digitised natural-history collections, quantitative morphometrics and machine learning. This methodological review evaluates how explainable artificial intelligence (XAI) and morpho...
Open access
Research Article10.9734/jsrr/2026/v32i94468
Background: Poultry farming is essential for food security, but traditional disease detection is inefficient, making AI-driven CNN models a powerful solution for accurate and automated diagnosis. Aims: This study aims to develop and evaluate an enhanced deep learning-based framew...
Open access
Research Article10.9734/jerr/2026/v28i51884
Stroke remains a major public health concern and a leading cause of death and long-term disability worldwide. Early prediction of stroke risk can greatly improve preventive care and patient outcomes. This study employed a retrospective analysis using the Kaggle Stroke Prediction...
Open access
Research Article10.9734/jerr/2025/v27i71573
This paper focuses on detecting the human gender using Convolutional Neural Network (CNN). Using CNN, a deep learning technique used as a feature extractor that takes input photos and gives values to various characteristics of the image and differentiates between them, the goal i...
Open access
Research Article10.9734/ajrcos/2024/v17i6463