IEEE

A Hybrid Framework for Acute Lymphoblastic Leukemia Identification Utilizing VIT-CNN Fusion and Immunologically Inspired Deep Feature Selection

Abstract: Acute Lymphoblastic Leukemia (ALL) is a serious blood cancer characterized by the abnormal growth of progenitor white blood cells, which interferes with normal blood cell production. 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

Jellyfish Species Identification: A CNN Based Artificial Neural Network Approach

Abstract: Jellyfish are a diverse category of marine gelatinous organisms that are vital to the balance of aquatic ecosystems, yet they present notable difficulties for biodiversity preservation and ...
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 ...
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

SondhiNet: A CNN-Classifiers Framework for Enhanced Bangla Handwritten Character Recognition with Ensemble Integration

Abstract: Bangla, one of the most widely spoken languages globally with approximately 265 million speakers, holds profound cultural and linguistic significance. Bangla handwritten character ...
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 ...