Results 101 to 110 of about 283 (220)

Methodological Pathways for Circular Economy in Energy and Environmental Studies: A Structured Review Toward Sustainable Development

Business Strategy and the Environment, EarlyView.
ABSTRACT The circular economy (CE) has become a major focus in energy and environmental (E&E) research, as it helps advance sustainable development, improve resource efficiency and alleviate environmental pressure. Even so, the literature is still fragmented, particularly in the CE themes it explores, the levels of analysis it adopts and the methods ...
Jahira Debbarma, Mohamed Shrief, Vikas Kumar   +2 more
wiley   +1 more source

Fuzzing the brain: automated stress testing for the safety of ML-driven neurostimulation. [PDF]

J Neural Eng
Downing M, Peng M, Granley J, Beyeler M, Bultan T.   +4 more
europepmc   +1 more source

Securing Cloud-Assisted Connected and Autonomous Vehicles: An In-Depth Threat Analysis and Risk Assessment. [PDF]

Sensors (Basel), 2023
Sheik AT, Maple C, Epiphaniou G, Dianati M.   +3 more
europepmc   +1 more source

Optimization of Lithium‐Ion Battery Circular Economy in Electric Vehicles in Sustainable Supply Chain

Battery Energy, Volume 4, Issue 2, March 2025.
Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities. ABSTRACT Lithium batteries constitute a pivotal component in electric vehicles (EVs) owing to their rechargeability and high‐power output capabilities.
Mohsen Alizadeh Afroozi, Mohammad Gramifar, Babak Hazratifar, Mohammad Mahdi Keshvari, Seyed Behnam Razavian   +4 more
wiley   +1 more source

A hidden Markov model and reinforcement learning‐based strategy for fault‐tolerant control

The Canadian Journal of Chemical Engineering, EarlyView.
Abstract This study introduces a data‐driven control strategy integrating hidden Markov models (HMM) and reinforcement learning (RL) to achieve resilient, fault‐tolerant operation against persistent disturbances in nonlinear chemical processes. Called hidden Markov model and reinforcement learning (HMMRL), this strategy is evaluated in two case studies
Tamera Leitao, Debaprasad Dutta, Simant R. Upreti   +2 more
wiley   +1 more source

Driving into the Unknown: Investigating and Addressing Security Breaches in Vehicle Infotainment Systems. [PDF]

Sensors (Basel)
Yan M, Crane G, Suillivan D, Shan H.
europepmc   +1 more source

A systematic review of fuzzing based on machine learning techniques. [PDF]

PLoS One, 2020
Wang Y, Jia P, Liu L, Huang C, Liu Z.
europepmc   +1 more source

The comparative ethics of artificial-intelligence methods for military applications. [PDF]

Front Big Data, 2022
Rowe NC.
europepmc   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Crowdsourcing Framework for Security Testing and Verification of Industrial Cyber-Physical Systems. [PDF]

Sensors (Basel)
Li Z, Ding Y, Zhao R, Wang S, Li J.
europepmc   +1 more source