IEEE

Designing of Heart Disease Prediction Model Using Machine Learning Algorithm

Abstract: Heart disease remains one of the leading causes of death worldwide. Effective management and prevention heavily depend on early detection and accurate prediction. However, traditional ...
IEEE

Robust Image Steganography Approach Based on Edge Detection Combined With CNN Algorithm

Abstract: Image steganography conceals secret data within a cover image to generate a new image (stego image) in a manner that makes the secret data undetectable. The main problem in image ...
IEEE

A Hybrid CNN-LSTM Deep Learning Model for Next-Generation OFDM Channel Estimation in Wireless Networks

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...
IEEE

Hybrid CNN and Transformer-Based Sequential Learning Techniques for Plant Disease Classification

Abstract: Plant diseases have important consequences for livelihoods and economies, both on local and global scales, whereby the spread of plant pathogens can lead to high levels of damage to ...
MediaiteOpinion

Media in 2025: An Uncomfortable Reflection on How It All Fractured

The year forced an uneasy realization into the open, one no algorithm is designed to help us avoid. Authority can be rebuilt ...
IEEE

Machine Learning Algorithms and Sensor Technologies for Aging-In-Place Applications: A Review

Abstract: The integration of artificial intelligence (AI) with wireless sensor networks (WSNs) has substantially advanced the capabilities of these systems to collect, process, and respond to large ...
Beebom

What is CNN in Deep Learning? The AI Behind Computer Vision

CNN in deep learning is a special type of neural network that can understand images and visual information. It works just like human vision: first it detects edges, lines and then recognizes faces and ...
IEEE

Hybrid CNN-Based Transfer Learning Enhances Brain Tumor Classification on MRI Images

Abstract: Brain tumors are among the deadliest diseases worldwide and require early and accurate diagnosis via Magnetic Resonance Imaging (MRI). Deep learning techniques, particularly convolutional ...
IEEE

Deep Learning Based Underwater Image Enhancement Using Hybrid CNN GAN Approach with Self Attention Mechanism

Abstract: Marine exploration, environmental monitoring as well as autonomous underwater vehicles need underwater imaging, however, it is severely degraded by light absorption, scattering and color ...
Interesting Engineering

‘Human washing machine’ that can clean head to toe in 15 mins goes on sale in Japan

Science Inc., a Japanese company, has now officially launched what it calls the “Mirai Human Washing Machine.” First unveiled at the World Expo in Osaka earlier this year, Japanese consumers can now ...
IEEE

CNN-LSTM-Attention based Predictive Model for Thermal Error in CNC Machine Tool Spindles

Abstract: Aiming at the problem that most thermal error prediction models for machine tools adopt a single neural network architecture, which is difficult to ...
IEEE

Benchmarking CFAR and CNN-Based Peak Detection Algorithms in ISAC Under Hardware Impairments

Peak detection is a fundamental task in radar and has therefore been studied extensively in radar literature. However, Integrated Sensing and Communication (ISAC) systems for sixth generation (6 G) ...