Enhancing real-time fire detection: an effective multi-attention network and a fire benchmark
Over the past decades, fire has been considered one of the most serious natural disasters
because of its devastating nature, rapid spread, and high impact on the ecology, economy …
because of its devastating nature, rapid spread, and high impact on the ecology, economy …
Factors, Prediction, and Explainability of Vehicle Accident Risk Due to Driving Behavior through Machine Learning: A Systematic Literature Review, 2013–2023
J Lacherre, JL Castillo-Sequera, D Mauricio - Computation, 2024 - mdpi.com
Road accidents are on the rise worldwide, causing 1.35 million deaths per year, thus
encouraging the search for solutions. The promising proposal of autonomous vehicles …
encouraging the search for solutions. The promising proposal of autonomous vehicles …
Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks
Globally, breast cancer (BC) is considered a major cause of death among women.
Therefore, researchers have used various machine and deep learning-based methods for its …
Therefore, researchers have used various machine and deep learning-based methods for its …
Highly discriminative driver distraction detection method based on Swin transformer
Z Zhang, L Yang, C Lv - Vehicles, 2024 - mdpi.com
Driver distraction detection not only helps to improve road safety and prevent traffic
accidents, but also promotes the development of intelligent transportation systems, which is …
accidents, but also promotes the development of intelligent transportation systems, which is …
U2-Net: A Very-Deep Convolutional Neural Network for Detecting Distracted Drivers
In recent years, the number of deaths and injuries resulting from traffic accidents has been
increasing dramatically all over the world due to distracted drivers. Thus, a key element in …
increasing dramatically all over the world due to distracted drivers. Thus, a key element in …
Depthwise channel attention network (DWCAN): An efficient and lightweight model for single image super‐resolution and metaverse gaming
Single image super‐resolution (SISR) has gained significant attention in image processing
and computer vision, driven by deep learning‐based models like convolutional neural …
and computer vision, driven by deep learning‐based models like convolutional neural …