IEEE

Importance Aware Undervolting for Robust Neural Network Training

Abstract: Convolutional Neural Network (CNN) is a powerful tool that has been extensively applied to many different applications. However, recent developments at CNN have revealed its vulnerability ...
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

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 ...
marktechpost

Building an Advanced Convolutional Neural Network with Attention for DNA Sequence Classification and Interpretability

In this tutorial, we take a hands-on approach to building an advanced convolutional neural network for DNA sequence classification. We focus on simulating real biological tasks, such as promoter ...
Scientific Research Publishing

He, H., Zhang, W. and Zhang, S. (2018) A Novel Ensemble Method for Credit Scoring: Adaption of Different Imbalance Ratios. Expert Systems with Applications, 98, 105-117.

ABSTRACT: Phishing attacks remain a pervasive threat in the cybersecurity landscape, necessitating intelligent and scalable detection mechanisms. This paper suggests a deep learning-based method for ...
Scientific Research Publishing

Chaitanya, A.R. (2025) Autism Spectrum Disorder Detection using Attention-Based CNN and ML Classifiers. Procedia Computer Science, 258, 4216-4227.

ABSTRACT: Social communication, behavior, and sensory processing difficulties characterize the complicated neurodevelopmental disorder known as autism spectrum disorder (ASD). For impacted children, ...
GitHub

popcorn-lung

Popcorn Lung Xray Classifier using TensorFlow via CNN uses a custom convolutional neural network built with TensorFlow’s Functional API to detect Popcorn Lung from chest X-rays. Supports dataset ...
Hacker

What Can Defects Tell Us About Magnetic Materials? TM-CNN's Defect Whisperer Approach

A journey through the mind's own pace, unraveling the threads of thought, in the labyrinth's spiraling heart. A journey through the mind's own pace, unraveling the threads of thought, in the labyrinth ...