Results 91 to 100 of about 45,302 (256)
How artificial intelligence (AI) and digital twin (DT) technologies are revolutionizing tunnel surveillance, offering proactive maintenance strategies and enhanced safety protocols. It explores AI's analytical power and DT's virtual replicas of infrastructure, emphasizing their role in optimizing maintenance and safety in tunnel management.
Mohammad Afrazi +4 more
wiley +1 more source
Prediction of Pedestrian Crossing Behavior Based on Surveillance Video. [PDF]
Zhou X +5 more
europepmc +1 more source
A high‐performance Triboelectric Nanogenerator (TENG) acoustic sensor using polyimine/graphite polypropylene (PI/GP) was developed for real‐time, sustainable sound monitoring and classification. The self‐powered device delivers 25.67 μW output power, 92.7% accuracy with MobileNet V1, and powers a wireless transmission circuit, demonstrating dual ...
Majid Haji Bagheri +8 more
wiley +1 more source
Abnormal motion pattern detection in video sequences by an unsupervised approach
Identifying anomalous motion behavior in video sequences is a challenging task. Manual annotation of a large number of surveillance videos is time-consuming because of the limited human brain's visual attention.
Himal Acharya, Basanta Joshi
doaj
NSD-SSD: A Novel Real-Time Ship Detector Based on Convolutional Neural Network in Surveillance Video. [PDF]
Sun J, Xu Z, Liang S.
europepmc +1 more source
Abstract Epilepsy surgery remains the most effective treatment for focal drug‐resistant epilepsy, and stereoelectroencephalography (SEEG) is increasingly used to define the epileptogenic‐zone network (EZN) and guide curative or palliative interventions.
Ionuț‐Flavius Bratu +4 more
wiley +1 more source
Deep learning-based bird eye view social distancing monitoring using surveillance video for curbing the COVID-19 spread. [PDF]
Magoo R +4 more
europepmc +1 more source
Abstract Objective This study aimed to evaluate the real‐world performance of a wrist‐worn seizure detection device for timely clinical interventions within an epilepsy monitoring unit (EMU). Methods We conducted a prospective observational study involving patients admitted to the EMU at a tertiary care center.
Amirhossein Jahani +9 more
wiley +1 more source
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron +7 more
wiley +1 more source
Abstract Objective Epilepsy is a common condition associated with significant morbidity, mortality, and costs. Poor documentation of seizures is a major challenge in epilepsy care. Objective seizure counting with mobile devices may mitigate this challenge and improve patient management.
Matthew McWilliam +8 more
wiley +1 more source

