IEEE

Dementia Detection in MRI Using CNN Classifier

Abstract: It is essential to emphasise the importance of detecting dementia as early as possible, as this cognitive disorder exhibits signs that increasingly limit the patient. Consequently, early ...
IEEE

A comparative analysis of Alzheimer’s Disease by Pre-Trained CNN Classifiers using Two Palnes of MRI Images

Abstract: Alzheimer’s Disease (AD) is a progressive neurological disorder that leads to significant deterioration in cognitive functions and memory. AD is accompanied by many symptoms like memory loss ...
IEEE

ECG Heartbeat Classification Using CNN Autoencoder Feature Extraction and Attention-Augmented BiLSTM Classifier

Abstract: The electrocardiogram (ECG) is a primary non-invasive technique for recording the heart’s electrical activity, but the complexity and subjectivity of manual interpretation have driven the ...
IEEE

DeepFake Detection for Military Security: A Deep Learning Approach Using TensorFlow and CNN Architecture

Abstract: Military security faces considerable danger from DeepFake technology because adversaries can use its capabilities to modify visual media alongside the dissemination of fake information and ...
GitHub

fuadhasanalnahian/Final_Year_Project

A web application leveraging TensorFlow, Keras, and Streamlit to assist farmers and researchers in identifying plant diseases from leaf images. Users can upload crop images to receive accurate disease ...
IEEE

A Hybrid Machine Learning Approach Utilizing CNN Feature Extraction with Traditional Classifier to Identify Strawberry Leaf Diseases

Abstract: Strawberry production is globally significant because it contains high nutrients. Strawberry leaf disease shapes a significant barrier to strawberry cultivation worldwide. Numerous ...
IEEE

Hybrid CNN-Ensemble Framework for Robust Floral Species Recognition

Abstract: This study introduces a sophisticated floral identification system based on Deep Learning and Machine Learning to improve species classification accuracy. The system combines VGG16 CNN for ...
Frontiers

MLVI-CNN: a hyperspectral stress detection framework using machine learning-optimized indices and deep learning for precision agriculture

Department of Electronics Communication Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India Introduction: Early and accurate detection of crop stress is vital for ...
IEEE

Hybrid Deep Learning Model for Skin Cancer Classification: Integrating PSO-Tuned CNN with Stacking Ensemble Learning

Abstract: Skin cancer remains a leading cause of morbidity worldwide, necessitating early detection for effective treatment. This paper presents optimized EfficientNet-PSO ensemble model (OEP-SEM), a ...
GitHub

Fruit and Vegetable Image Classification

A comprehensive machine learning project for classifying images of fruits and vegetables using Convolutional Neural Networks (CNNs). This project includes both a training pipeline and a web ...