IEEE

Accurate Fake News Detection in Text-Based Content Using K-Nearest Neighbor, LSTM, MLP and CNN Models

Abstract: With the proliferation of social media platforms, where users are free to express themselves and share content, the detection of fake news in text has become an important issue. The ...
IEEE

CNN-LSTM-Attention-based Vehicle Weight Estimation using Weigh-in-Motion

Abstract: Vehicle weight significantly impacts load distribution on road surfaces and collision forces in traffic accidents, thereby influencing structural integrity and injury risk. While advanced ...
CNN

Inside the ‘underground railroad’ Ukraine is using to bring back children from Russia

Rostyslav Lavrov knew he had to escape. He was stuck at a Russian naval academy in occupied Crimea, where he was sent at the age of 16 after Moscow’s forces took over his hometown in Ukraine’s Kherson ...
CNN

Passengers who refuse to use headphones can now be kicked off United flights

The world’s happiest countries for 2026, what travelers can expect in terms of rising air fares, plus United Airlines cracks down on noisy passengers. Here’s what’s happening in Travel. Here’s a ...
CNN

Former judges side with Anthropic and raise concerns about Pentagon’s use of supply chain risk label

Nearly 150 retired federal and state judges have filed an amicus brief on Tuesday supporting AI company Anthropic in its lawsuit against the Trump administration for designating it a “supply chain ...
IEEE

A Real-Time Deployable Attention-Driven CNN–LSTM Framework for Human Activity Recognition Using Wearable Sensor

Abstract: Human activity recognition (HAR) using wearable inertial sensors is increasingly vital for healthcare, rehabilitation, and pervasive computing. Yet, many state-of-the-art (SoTA) models rely ...
IEEE

Hybrid CNN-Transformer Model for Accurate Classification of Human Attention Levels Using Workplace EEG Data

Abstract: Accurately detecting human attention levels is a key challenge in cognitive neuroscience, with broad application value in improving productivity. Although Electroencephalography (EEG) ...
IEEE

Enhanced Student Learning Through Facial Emotion Recognition Using Normalized CNN and Deep Learning

Abstract: The identification of facial emotions through FER serves as a vital factor for both human-computer relationships and learning platforms designed for individual needs. The research presents ...
IEEE

An Enhanced Approach to Detect Driver Drowsiness System Using Opencv and Keras

Abstract: The phenomenon of driver drowsiness constitutes a critical determinant in the incidence of road traffic accidents, resulting in numerous injuries and fatalities on a global scale. The ...
IEEE

Human Daily Activity Recognition using Spectrogram and 2D-CNN Through Doppler Radar

Abstract: The identification and analysis of human daily activities has garnered substantial attention in recent years, driven by its expansive applications in areas including healthcare, surveillance ...