Scientist turns people’s mental images into text using ‘mind-captioning’ technology

A scientist in Japan has developed a technique that uses brain scans and artificial intelligence to turn a person’s mental ...
IEEE

CNN-LSTM-Based Insider Threat Detection Model

Abstract: With the continuous development of electrical, automation, and artificial intelligence (AI) systems, ensuring the security of system data has become increasingly important. Compared to ...
IEEE

Hybrid CNN-LSTM Model for DDoS Attack Detection in Internet of Things-based Healthcare Industry 5.0

Abstract: The convergence of the Internet of Things (IoT) and Software-Defined Networking (SDN) has paved the way for a new technological paradigm in Healthcare Industry 5.0. This integration ...

After testing ten models, this is the massage gun I reach for after every workout

We spent months testing 10 popular massage guns, comparing their performance in terms of power, noise, battery life and usability. Three stood out as the best.
IEEE

Visualizing Crop Disease Detection Exploring Deep Learning with Custom CNN Model and XAI for Enhanced Interpretability

Abstract: Accurately detecting plant diseases is essential for safeguarding food security and promoting agricultural sustainability. This study presents an advanced deep learning approach using ...
IEEE

A Multimodal Deep Learning Model Integrating CNN and Transformer for Predicting Chemotherapy-Induced Cardiotoxicity

Abstract: Chemotherapy-induced cardiotoxicity presents a major risk to cancer patients, often leading to severe cardiac complications such as heart failure, myocardial infarction, and arrhythmias.
IEEE

Joint Optimization of Recurrence Plot Encoding and CNN Model Based on Heuristic Algorithms

Abstract: Peripheral waveform analysis (PWA), which is generally used to reveal hidden health status information from peripheral pulse signals, typically involves three procedures: signal ...
IEEE

Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model

Abstract: Coal mining operations trigger geological hazards including ground subsidence, surface fracturing, and landslides, endangering resident safety and infrastructure in mining regions. To ...
IEEE

The Fatigue Driving Detection Model Based on the Combination of CNN and SE Modules

Abstract: Fatigue driving is one of the leading causes of traffic accidents, posing a serious threat to road safety. Traditional Convolutional Neural Networks (CNN) models have been widely used for ...
IEEE

DermNet-CNN: A Hyperparameter-Tuned CNN Model for Accurate Skin Disease Detection

Abstract: The diagnosis of skin disease is a critical area in healthcare, requiring high accuracy and reliability to ensure effective treatment. Traditional diagnostic methods often struggle with the ...
IEEE

EEG Time-Frequency Feature Optimization Algorithm Based on Continuous Wavelet Transform and CNN Model

Abstract: Brain-Controlled technology enables direct interaction between the brain and peripheral devices by decoding electroencephalographic (EEG) signals from subjects. Among these, brain-controlled ...
IEEE

Enhancing Precision Agriculture with a CNN-RF Hybrid Model: A Case Study on Sunflower Disease Diagnosis

Abstract: Disease classification in sunflower crops is an important step in mitigating the yield losses incurred because of high disease spread and improving agricultural productivity. In this paper ...