Results 241 to 250 of about 487,200 (366)
ABSTRACT The adoption of Artificial Intelligence is transforming enterprises worldwide, influencing various aspects of business operations and affecting all dimensions of the triple bottom line. Companies ready to leverage the potential of this technology can significantly improve their performance.
Antonio Cimino+4 more
wiley +1 more source
Real-time monitoring and optimization methods for user-side energy management based on edge computing. [PDF]
Huang J, Zhou S, Li G, Shen Q.
europepmc +1 more source
Abstract Machine‐learning (ML) models in flow cytometry have the potential to reduce error rates, increase reproducibility, and boost the efficiency of clinical labs. While numerous ML models for flow cytometry data have been proposed, few studies have described the clinical deployment of such models.
Lauren M. Zuromski+10 more
wiley +1 more source
An Edge-Computing-Based Integrated Framework for Network Traffic Analysis and Intrusion Detection to Enhance Cyber-Physical System Security in Industrial IoT. [PDF]
Zhukabayeva T+4 more
europepmc +1 more source
Bahaman patch reefs: Numerous and neglected
Abstract Phanerozoic patch reefs are extensively studied because they are abundant and are potential reservoirs for valuable fluids. In contrast, geologic studies of modern reefs have largely focused on platform margins, leaving patch reefs comparatively neglected. What conditions favour patch‐reef development?
Paul Enos, Clay Robertson
wiley +1 more source
Deep Reinforcement Learning-Enabled Computation Offloading: A Novel Framework to Energy Optimization and Security-Aware in Vehicular Edge-Cloud Computing Networks. [PDF]
Almuseelem W.
europepmc +1 more source
Leakage risk assessment system for salt cavern hydrogen storage
Establishment of a leakage risk evaluation system for salt cavern hydrogen storage reservoirs using the entropy weight method plus two‐dimensional cloud modeling approach. Abstract Salt cavern hydrogen storage (SCHS) is an important component of large‐scale underground hydrogen storage, with advantages such as large hydrogen storage capacity and ...
Weizheng Bai+4 more
wiley +1 more source
Two stage malware detection model in internet of vehicles (IoV) using deep learning-based explainable artificial intelligence with optimization algorithms. [PDF]
Alohali MA+7 more
europepmc +1 more source
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