Abstract: Effective traffic management is a cornerstone of sustainable urban living, as cities face mounting challenges from increasing population density, unpredictable weather conditions, and social ...
Researchers at the Department of Energy's Oak Ridge National Laboratory have developed a deep learning algorithm that ...
Abstract: Artificial Intelligence (AI) and data analytics are used by a machine learning-based traffic prediction and management to optimize transport networks, improve safety, and improve traffic ...
Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Network traffic monitoring has evolved from a nice-to-have administrative tool into an essential cybersecurity defense mechanism. Network traffic monitoring has evolved from a nice-to-have ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results