Results 201 to 210 of about 126,642 (284)

Fuzzy optimization of municipal solid waste collection routing under uncertain emissions. [PDF]

Sci Rep
Zhang Y, Wei Y, Zhang B, Wu Y, Pan S.
europepmc   +1 more source

Mapping the Intellectual and Industrial Evolution of Corporate Social Responsibility: A Cross‐Sector Scientometric Analysis Using Main Path and Cluster Methods

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Corporate social responsibility (CSR) has undergone continuous expansion across industries, yet its intellectual evolution and cross‐sectoral linkages remain insufficiently understood. This study provides a comprehensive, data‐driven assessment of CSR's developmental trajectories by analyzing 3314 Web of Science articles using key‐route main ...
Wei‐Hao Su, Chia‐Chia Kuo, Long‐Sheng Chen   +2 more
wiley   +1 more source

Prescribed-Time Leader-Follower Synchronization of Higher-Order Nonlinear Multi-Agent Systems via Fuzzy Neural Adaptive Sliding Control. [PDF]

Sensors (Basel)
Ullah S, Babar MZ, Alghamdi S, Alsafran AS, Kraiem H, Algethami AA.   +5 more
europepmc   +1 more source

Public Sustainability: Thematic Mapping, Theoretical Approaches and Emerging Lines of Action

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT The paucity of research analysing thematic persistence in public sustainability limits our understanding of how this field of research evolves and reconfigures itself. The present paper addresses this gap through a longitudinal bibliometric analysis of 692 publications processed with SciMAT. The methodology combines co‐word analysis, strategic
Laila Ribii Khalifi, Luisa‐Eugenia Reyes, Marisol Carvajal Camperos   +2 more
wiley   +1 more source

A virtual-structure-based type-3 fuzzy system for predictive sensor and actuator fault detection, compensation, and control in nonlinear systems. [PDF]

Sci Rep
Hong X, Zhakiyev N, Yedilkhan D, Khani A, Mohammadzadeh A, Zhang C.   +5 more
europepmc   +1 more source

Designing Governance for ESG: Incentive and Oversight Complementarities in Corporate Sustainability Performance

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT This study investigates how internal governance design supports credible ESG performance by distinguishing between Incentive and Oversight Architectures. Using 13,993 firm‐year observations of US nonfinancial firms from 2018 to 2024, we estimate fixed effects and two‐step system GMM models.
Beyza Gürel, Nehir Balci, Mustafa Reha Okur   +2 more
wiley   +1 more source

Cooperative modular multilevel converter control based on PSO-optimized fuzzy-PI and hierarchical finite-state model predictive control. [PDF]

Sci Rep
Liu Y, Tian Y, Zhang W, Wang Y.
europepmc   +1 more source

Readiness and Maturity for a Smart Circular Economy to Enhance Sustainability Performance: A Multidimensional Framework for the Hospitality Sector

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Research on readiness and maturity for the smart circular economy (SCE) remains fragmented, especially in the hospitality sector. This study develops a multidimensional framework that integrates the principles of the circular economy, Industry 4.0, and sustainability performance in the context of tourist accommodations.
Rafael Mora‐Contreras, Paz Morer‐Camo, Marta Ormazabal, Carmen Jaca, Maria Isabel Rodriguez‐Ferradas, María Jesús Álvarez   +5 more
wiley   +1 more source

Enhanced trajectory tracking and robustness in magnetic levitation via takagi-sugeno fuzzy control: experimental approach. [PDF]

Sci Rep
T Y, Jonnalagadda VK, Korupu VL, Elumalai VK.   +3 more
europepmc   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source