AI‐driven circular economy optimization in waste management: A review of current evidence
Abstract The integration of artificial intelligence (AI) and machine learning (ML) in waste management has the potential to significantly advance circular economy objectives by enhancing efficiency, reducing waste, and optimizing resource recovery. However, realising these benefits depends on addressing significant technical, economic, and systemic ...
David Bamidele Olawade +3 more
wiley +1 more source
A secure group-based authentication protocol for IoVT in 5G-enabled smart transportation and road safety systems. [PDF]
Singh G +3 more
europepmc +1 more source
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
A scalable post quantum secure blockchain framework with adaptive time consensus in cloud environments. [PDF]
Velmurugan M, Kumar MR.
europepmc +1 more source
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan +4 more
wiley +1 more source
Unlocking Health Data for Research: Legal, Technical, and Organisational Lessons from a Belgian Interdisciplinary Case Study. [PDF]
Van Scharen A +14 more
europepmc +1 more source
Abstract Background The epidemiology of equine influenza (EI) in the United Kingdom has not been systematically described since the 2019 epidemic. Objectives To summarise UK EI surveillance (2020–2024), quantify outbreak seasonality and assess movement‐related sources. Study Design Retrospective observational analysis of national surveillance and horse
Fleur Whitlock +2 more
wiley +1 more source
Privacy-Preserving ECC-Based AKA for Resource-Constrained IoT Sensor Networks with Forgotten Password Reset. [PDF]
Yu Y, Wei K, Qi K, Wu W.
europepmc +1 more source
The cooked Oko‐iyawo spontaneously fermented cassava flour's sensory acceptability was correlated with its amylose content, pH, pasting temperature, and water absorption capability. Cassava processors may be able to create consistently high‐quality fermented cassava flour for various end users with the use of the information provided in this study ...
Awoyale Wasiu +6 more
wiley +1 more source
Intelligent resource management in UAV-enabled networks using cell-free communications and intelligent reflective surfaces. [PDF]
Wu H, Gu F, Lu H, Su H.
europepmc +1 more source

