IEEE

Attention-Based Convolutional Neural Network Model for Skin Cancer Classification

Abstract: Early detection of skin cancer (SC) is paramount for effective treatment. Although convolutional neural networks (CNN) have facilitated automated learning of high-level features from ...
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 ...
Frontiers

Transferable CNN-based data mining approaches for medical imaging: application to spine DXA scans for osteoporosis detection

Introduction: Osteoporosis is the leading cause of sudden bone fractures. This is a silent and deadly disease that can affect any part of the body, such as the spine, hips, and knee bones. Aim: To ...
IEEE

Building Accurate and Interpretable Online Classifiers on Edge Devices

Abstract: By integrating machine learning with edge devices, we can augment the capabilities of edge devices, such as IoT devices, household appliances, and wearable technologies. These edge devices ...
CNN

Three kids steal and crash car after watching YouTube tutorial

CNN Automated CNN Shorts 11 videos Video Ad Feedback Three kids steal and crash car after watching YouTube tutorial In Newburgh Heights, Ohio, police detained three children for stealing a Kia after a ...
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 ...
CNN

The surprising truth about AI’s impact on jobs

Many workers fear artificial intelligence is coming for their jobs, an idea bolstered by warnings from AI leaders and anecdotes from a recent Federal Reserve report. Yet new research finds the ...
GitHub

IFD for Motor Bearing Fault Detection

This repository contains an Intelligent Fault Detection (IFD) System to detect motor bearing faults in industrial machinery. Uses a 1D-CNN to achieve end-to-end classification from raw vibration ...
IEEE

An Explainable Hybrid Deep Learning Framework for Network Intrusion Detection Using Feature-Guided CNN Models

Abstract: Cybersecurity risks have evolved in the linked digital terrain of today into more complex, frequent, and varied forms. Conventional intrusion detection systems sometimes find it difficult to ...
Variety

Donald Trump Says CNN Should Be Sold as Part of Any Warner Bros. Discovery Deal Because the ‘People Running It’ Currently Are ‘Either Corrupt or Incompetent’

Under Netflix’s $82.7 billion deal with Warner Bros. Discovery, the streaming giant would acquire WB’s studios and HBO Max — but not any of WBD’s TV networks, which would be spun off into a new entity ...
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 ...