IEEE

High-Performance Computing-Embedded CIoT Framework for Enhanced Credit Risk Assessment Using BC and Attention-CNN

Abstract: Consumer credit risk assessment (CRA) is a process of data gathered from IoT devices called the Consumer IoT. CRA determines the probability that a consumer will miss payments on a financial ...
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 ...
GitHub

tensorflow-keras-cnn-python-ai

Deep learning neural network for image classification using TensorFlow and Keras. Includes CNN architecture, data preprocessing, and model training scripts.
Frontiers

A pipelined, resource-efficient convolutional neural network architecture for detecting and diagnosing Alzheimer's disease using brain sMRI

1 School of Electrical Engineering, Vellore Institute of Technology (VIT) Chennai, Tamil Nadu, India 2 Center for e-Automation Technologies and School of Electrical Engineering, Vellore Institute of ...
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 ...
IEEE

Handwritten Amharic Character Recognition Through Transfer Learning: Integrating CNN Models and Machine Learning Classifiers

Abstract: Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach ...
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 ...
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 ...
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 ...
Frontiers

Comparative analysis of machine learning techniques on the BraTS dataset for brain tumor classification

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...