From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management
The advancement in technology has led to the integration of internet-connected devices and
systems into emergency management and response, known as the Internet of Emergency …
systems into emergency management and response, known as the Internet of Emergency …
A review of artificial intelligence and machine learning for incident detectors in road transport systems
Road transport is the most prone to accidents, resulting in significant fatalities and injuries. It
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
also faces a plethora of never-ending problems, such as the frequent loss of lives and …
Car crash detection using ensemble deep learning
With the recent advancements in Autonomous Vehicles (AVs), two important factors that play
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …
a vital role to avoid accidents and collisions are obstacles and track detection. AVs must …
Improving educational outcomes through adaptive learning systems using ai
Adaptive learning systems powered by AI have transformed education by offering
personalized learning experiences tailored to individual student needs, enhancing …
personalized learning experiences tailored to individual student needs, enhancing …
[HTML][HTML] Impact of artificial intelligence on aeronautics: An industry-wide review
Curiously, there are few contributions in the scientific literature on the subject of artificial
intelligence (AI) and its impact on aeronautics. However, many communications and reports …
intelligence (AI) and its impact on aeronautics. However, many communications and reports …
Advanced learning technologies for intelligent transportation systems: Prospects and challenges
Intelligent Transportation Systems (ITS) operate within a highly intricate and dynamic
environment characterized by complex spatial and temporal dynamics at various scales …
environment characterized by complex spatial and temporal dynamics at various scales …
Using industry 4.0's big data and IoT to perform feature-based and past data-based energy consumption predictions
Industry 4.0 and its technologies allow advancements in communications, production and
management efficiency across several segments. In smart grids, essential parts of smart …
management efficiency across several segments. In smart grids, essential parts of smart …
[HTML][HTML] 4IR Applications in the Transport Industry: Systematic Review of the State of the Art with Respect to Data Collection and Processing Mechanisms
Transportation systems through the ages have seen drastic evolutions in terms of
transportation methods, speed of transport, infrastructure, technology, connectivity, influence …
transportation methods, speed of transport, infrastructure, technology, connectivity, influence …
Dynamic scenario deduction analysis for hazardous chemical accident based on CNN‐LSTM model with attention mechanism
The evolution of hazardous chemical accidents (HCAs) is characterized by uncertainty and
complexity. It is challenging for decision‐makers to expeditiously adapt emergency …
complexity. It is challenging for decision‐makers to expeditiously adapt emergency …
Artificial Intelligence-powered Visual Internet of things in Smart cities: a comprehensive review
The field of smart cities has seen significant advancements in recent years to improve
citizens' quality of life. Technologies such as the Internet of Things (IoT) and Edge …
citizens' quality of life. Technologies such as the Internet of Things (IoT) and Edge …