Results 211 to 220 of about 18,814 (304)

Critical Success Factors and Stakeholder Influence for Environmental, Social and Governance Assessment and Reporting

Business Strategy and the Environment, EarlyView.
ABSTRACT Environmental, Social and Governance (ESG) assessment criteria have drawn substantial attention by investors in recent years. ESG factors have been considered by investors to create greater wealth and better investment decisions and opportunities. However, there are ambiguities about ESG assessment and reporting with issues of transparency and
Caleb Boadi, Robert Osei‐kyei, Vivian W. Y. Tam   +2 more
wiley   +1 more source

High-Quality Representation Learning Approach to Spatio-Temporal Traffic Speed Data with <i>L_p,ϵ</i>-Norm. [PDF]

Entropy (Basel)
Yang L, Ma Z, Hou Y.
europepmc   +1 more source

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

Adaptive intelligent controller for a lower limb rehabilitation robot using QAOA-based online membership optimization. [PDF]

Sci Rep
Abd-Elhaleem S, El-Garawany AH, El-Brawany M.   +2 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

Sustainable closed-loop supply chain network design under uncertainty using a fuzzy multi-objective optimization framework for the battery industry. [PDF]

Sci Rep
Attari MYN, Rezanejad S, Ala A, Simic V, Pamucar D.   +4 more
europepmc   +1 more source

Perovskite Photodetectors at the Intelligence Frontier: From Tunable Materials to Adaptive Optoelectronic Systems

Carbon Energy, EarlyView.
This comprehensive review presents a progressive roadmap for perovskite vision detectors. Centered on perovskite‐based artificial perception, the graphic illustrates a systematic evolution: starting with fundamental material engineering and device architectures, advancing toward complex functional strategies such as flexible neuromorphic imaging ...
Chenglong Li, Wei Qu, Deepak Kumar, Naini Jain, Nur Wardina Syahirah binti Mohamad Fadil, Nur Najiha binti Ahmad Rasid, Emannuel Kymakis, Maria Vasilopoulou, Chunxiong Bao, Feng Gao, Peng Gao, Sanjeev Kumar Sharma, Mohammad Khaja Nazeeruddin, Abd. Rashid bin Mohd Yusoff, Haotong Wei   +14 more
wiley   +1 more source

Adaptive fuzzy sliding mode control applied to inverted pendulum. [PDF]

Sci Rep
Mohammed TK, Ezez SF, Siraj AZ, Abdissa CM.   +3 more
europepmc   +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

An efficient prediction based data collection method for wireless sensor networks using hybrid fuzzy clustering and optimized deep maxout neural networks. [PDF]

Sci Rep
Padmini Devi B, Gunapriya D, Sivaranjani S, Gomathi S.   +3 more
europepmc   +1 more source