Results 231 to 240 of about 65,434 (314)

Humanlike AI for Corporate Social Responsibility Communication: How Perceived Anthropomorphism Shapes Stakeholder Acceptance of Chatbots

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Despite increasing interest in leveraging AI to improve CSR communication, there is limited understanding of consumers' reactions to chatbots in CSR communication. Building upon the HAII‐TIME model, this study proposes a theoretical model from the users' psychological perspective to explain facilitative pathways through which anthropomorphic ...
Yangzhi (Nicole) Jiang, Yang Cheng, Yuan Wang   +2 more
wiley   +1 more source

Shifting Tides: A Decade of Business Climate Adaptation and Resilience Research (2013–2023)

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Climate change is causing significant disruptions to the socio‐ecological systems in which organizations operate, presenting unprecedented challenges for businesses across sectors in adapting to shifting environmental conditions and building resilience to extreme weather events.
Domenico Villano, Laura Colli, Federico Martellozzo, Sara Lombardi   +3 more
wiley   +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

Optimization design of assembly scheme based on network analysis heuristic algorithm

Zhixiang Xu, Zhiyong Zhou, Weihao Li
openalex   +2 more sources

A Distributed Heuristic Algorithm for Delay Constrained Energy Efficient Routing in Wireless Sensor Networks

, 2017
Trong Thua Huynh, Cong‐Hung Tran, Anh‐Vu Dinh‐Duc   +2 more
openalex   +2 more sources

Dynamic geo‐hydrogeological monitoring‐driven situational awareness for real‐time floor water inrush risk prediction in deep mining

Deep Underground Science and Engineering, EarlyView.
The fused data extracted from the distributed monitoring system as the data basis, combined with dynamic geological data, are imported into a deep learning model. As the geological conditions of mining and excavation change, the risk of water inrush at the working face is retrieved in real time.
Yongjie Li, Huiyong Yin, Fangying Dong, Tao Wu, Chao Zhang   +4 more
wiley   +1 more source

Self‐Reported Versus Objectively Logged Social Media Use: Implications for Measurement in Eating Disorder Research

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Self‐reported frequency measures of social media use (e.g., “How often do you use social media?”) are convenient, yet their criterion validity against objective behavioral data remains largely untested in eating disorder research. We compared self‐reports of TikTok use with objective data extracted from TikTok datafiles.
Scott Griffiths, Emma Halliwell, Harish Kannan, Ben Stone, Wesley Grey, Noa Brittain, Eden Shaveet, Emily Harris   +7 more
wiley   +1 more source

A heuristic re-mapping algorithm reducing inter-level communication in SAMR applications.

, 2003
Johan Steensland, Jaideep Ray
openalex   +2 more sources

Defining the end point of status epilepticus: A scoping review and framework for standardization

Epilepsia, EarlyView.
Abstract Status epilepticus (SE) is a life‐threatening neurological emergency with consensus‐driven definitions for onset but no standardized criteria for its end point. This gap creates uncertainty in research and clinical practice. We conducted a scoping review to evaluate how end points have been defined in SE research and to identify key areas of ...
Fawad A. Khan, Margaret T. Gopaul, Samuel L. Carter, Anil Chimakurthy, Summer Skelton, Lawrence J. Hirsch, Eugen Trinka   +6 more
wiley   +1 more source

Use of artificial intelligence in magnetic resonance imaging across the epileptic patient's journey: A meta‐analysis of four clinical applications

Epilepsia, EarlyView.
Abstract Objective The application of artificial intelligence/machine learning (AI/ML) to magnetic resonance imaging (MRI) promises to enhance and support clinical decision‐making in epilepsy. However, there currently lacks an appropriate assessment of clinical utility and study rigor of current AI/ML‐driven models that are targeted toward supporting ...
Judy Chen, Ella Sahlas, Yigu Zhou, Natalie Chen, Jim Xie, Farhan Wadia, Lorenzo Caciagli, Aristides Hadjinicolaou, Alexander G. Weil, Roy W. Dudley, Dewi V. Schrader, Andrea Bernasconi, Neda Bernasconi, Boris C. Bernhardt   +13 more
wiley   +1 more source