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Integration of IoT-enabled technologies and artificial intelligence (AI) for smart city scenario: recent advancements and future trends
As the global population grows, and urbanization becomes more prevalent, cities often
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …
struggle to provide convenient, secure, and sustainable lifestyles due to the lack of …
Autonomous vehicles: Sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions
Autonomous vehicles (AVs), defined as vehicles capable of navigation and decision-making
independent of human intervention, represent a revolutionary advancement in transportation …
independent of human intervention, represent a revolutionary advancement in transportation …
[HTML][HTML] Connected and automated vehicles: Infrastructure, applications, security, critical challenges, and future aspects
Autonomous vehicles (AV) are game-changing innovations that promise a safer, more
convenient, and environmentally friendly mode of transportation than traditional vehicles …
convenient, and environmentally friendly mode of transportation than traditional vehicles …
Emerging cybersecurity and privacy threats to electric vehicles and their impact on human and environmental sustainability
With the global energy crisis, increasing demand, and a national-level emphasis on electric
vehicles (EVs), numerous innovations are being witnessed throughout the EV industry. EVs …
vehicles (EVs), numerous innovations are being witnessed throughout the EV industry. EVs …
Assessing the influence of artificial intelligence on the energy efficiency for sustainable ecological products value
M Song, H Pan, Z Shen, K Tamayo-Verleene - Energy Economics, 2024 - Elsevier
In the context of sustainable development, the enhancement of energy efficiency (EF) for
achieving cleaner production has become a prominent area of academic interest …
achieving cleaner production has become a prominent area of academic interest …
Artificial intelligence in supply chain management: enablers and constraints in pre-development, deployment, and post-development stages
This study presents a comprehensive investigation into the AI supply chain journey,
combining a systematic literature review (SLR) and empirical interviews with supply chain …
combining a systematic literature review (SLR) and empirical interviews with supply chain …
Object detection in adverse weather condition for autonomous vehicles
EO Appiah, S Mensah - Multimedia Tools and Applications, 2024 - Springer
As self-driving or autonomous vehicles proliferate in our society, there is a need for their
computing vision systems to be able to identify objects accurately, no matter the weather …
computing vision systems to be able to identify objects accurately, no matter the weather …
A comprehensive review of embedded systems in autonomous vehicles: Trends, challenges, and future directions
The integration of embedded systems in autonomous vehicles represents a transformative
paradigm shift in the automotive industry, offering unprecedented opportunities for …
paradigm shift in the automotive industry, offering unprecedented opportunities for …
A survey on navigation approaches for automated guided vehicle robots in dynamic surrounding
Automated Guided Vehicles (AGV) have received a lot of attention in recent years in terms of
both hardware and software research. Nowadays, the AGV offers more adaptable and …
both hardware and software research. Nowadays, the AGV offers more adaptable and …
[HTML][HTML] Using multimodal large language models (MLLMs) for automated detection of traffic safety-critical events
Traditional approaches to safety event analysis in autonomous systems have relied on
complex machine and deep learning models and extensive datasets for high accuracy and …
complex machine and deep learning models and extensive datasets for high accuracy and …