Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
The adoption of artificial intelligence (AI) in healthcare is growing rapidly. Remote patient
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
monitoring (RPM) is one of the common healthcare applications that assist doctors to …
A cooperative vehicle-infrastructure system for road hazards detection with edge intelligence
Road hazards (RH) have always been the cause of many serious traffic accidents. These
have posed a threat to the safety of drivers, passengers, and pedestrians, and have also …
have posed a threat to the safety of drivers, passengers, and pedestrians, and have also …
Development of exact and heuristic optimization methods for safety improvement projects at level crossings under conflicting objectives
A significant number of accidents occur each year at level crossings globally. Substantial
efforts are being made by different railway authorities and other stakeholders to prevent …
efforts are being made by different railway authorities and other stakeholders to prevent …
A health image for deep learning-based fault diagnosis of a permanent magnet synchronous motor under variable operating conditions: Instantaneous current …
To take full advantage of a convolutional neural network (CNN) for deep learning-based
fault diagnosis, many studies have examined the transformation of sensory signals into a …
fault diagnosis, many studies have examined the transformation of sensory signals into a …
Adaptive cost-sensitive learning: Improving the convergence of intelligent diagnosis models under imbalanced data
The natural distribution of industrial data is imbalanced, which deteriorates the performance
of intelligent fault diagnostic models. Although cost-sensitive learning is an effective method …
of intelligent fault diagnostic models. Although cost-sensitive learning is an effective method …
Discovering injury severity risk factors in automobile crashes: A hybrid explainable AI framework for decision support
Millions of car crashes occur annually in the US, leaving tens of thousands of deaths and
many more severe injuries. Thus, understanding the most impactful contributors to severe …
many more severe injuries. Thus, understanding the most impactful contributors to severe …
Critical review on data-driven approaches for learning from accidents: comparative analysis and future research
Y Niu, Y Fan, X Ju - Safety science, 2024 - Elsevier
Data-driven intelligent technologies are promoting a disruptive digital transformation of
human society. Industrial accident prevention is also amid this change. Although many …
human society. Industrial accident prevention is also amid this change. Although many …
[HTML][HTML] Construction safety risk model with construction accident network: A graph convolutional network approach
Construction risk assessment (RA) based on expert knowledge and experience incorporates
uncertainties that reduce its accuracy and effectiveness in implementing countermeasures …
uncertainties that reduce its accuracy and effectiveness in implementing countermeasures …
[HTML][HTML] Response of the Northwest Indian Ocean purpleback flying squid (Sthenoteuthis oualaniensis) fishing grounds to marine environmental changes and its …
H Han, B Jiang, Y Shi, P Jiang, H Zhang, C Shang… - Ecological …, 2023 - Elsevier
Climate change has posed a great challenge to global fisheries harvesting. Purpleback
flying squid (Sthenoteuthis oualaniensis) is a major economic cephalopod in the …
flying squid (Sthenoteuthis oualaniensis) is a major economic cephalopod in the …
[HTML][HTML] Injury severity analysis of highway-rail grade crossing crashes in non-divided two-way traffic scenarios: A random parameters logit model
Q Ren, M Xu - Multimodal Transportation, 2024 - Elsevier
Highway-rail grade crossing (HRGC) crashes in non-divided two-way traffic scenarios have
caused numerous fatalities and injuries over the years. Although crucial to the safety of …
caused numerous fatalities and injuries over the years. Although crucial to the safety of …