Results 271 to 280 of about 124,232 (320)

AI‐based localization of the epileptogenic zone using intracranial EEG

Epilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida, Yipeng Zhang, Sotaro Kanai, Richard Staba, Vwani Roychowdhury, Hiroki Nariai   +5 more
wiley   +1 more source

Complex conjugate removal in optical coherence tomography using phase aware generative adversarial network. [PDF]

J Biomed Opt
Bellemo V, Haindl R, Pramanik M, Liu L, Schmetterer L, Liu X.   +5 more
europepmc   +1 more source

Dynamic Analysis of Stakeholders' Decision‐Making in Power Battery Recycling Considering Risks

Global Challenges, EarlyView.
The risk‐induced loss quantification model based on conditional value‐at‐risk (CVaR) is established to elucidate the impact of various risk parameters on stakeholders' revenues and evolutionary paths, as well as identify the key parameters that affect risk‐induced loss.
Juan Huang, Zhe Wang, Zhenggang He, Weiwei Xu, Feng Luo   +4 more
wiley   +1 more source

Fish species identification on low resolution-a study with enhanced super-resolution generative adversarial network (ESRGAN), YOLO and VGG-16. [PDF]

PeerJ Comput Sci
Adhikary S, Banerjee S, Singh R, Dwivedi AD.   +3 more
europepmc   +1 more source

Artificial Intelligence and Corruption: Opportunities and Challenges in the Health Sector

The International Journal of Health Planning and Management, EarlyView.
ABSTRACT Corruption in health systems diverts resources, erodes trust, and reduces service quality. Traditional oversight methods struggle to detect fraudulent patterns, but Artificial Intelligence (AI) offers new possibilities. AI can analyse large datasets to predict corruption risks and detect irregularities in procurement, insurance claims, and ...
Paula del Rey‐Puech, Dina Balabanova, Martin McKee   +2 more
wiley   +1 more source

Residual-based multivariate exponentially weighted moving average control chart for statistical process control of water quality in Surabaya city utilizing generative adversarial network. [PDF]

MethodsX
Ahsan M, Indarsanto RW, Rifki KAF, Lee MH.   +3 more
europepmc   +1 more source

Renegotiating HRM Practices and Delivering Service Transformation of Frontline Workers: Insights From the UK's NHS Ambulance Trust During a Significant Disruption

Human Resource Management, EarlyView.
ABSTRACT We note that while the institutional environment determines the actions and structures of constituent organizations, there are still limited insights available in the literature on the nature and process of interactions between key stakeholders in ambulance services, especially as they respond during a significant crisis.
Ashish Malik, Paresh Wankhade, Swetketu Patnaik, Pawan Budhwar   +3 more
wiley   +1 more source

High resolution photoacoustic vascular image reconstruction through the fast residual dense generative adversarial network. [PDF]

Photoacoustics
Zhang Y, Tian H, Wan M, Tang S, Ding Z, Huang W, Yang Y, Li W.   +7 more
europepmc   +1 more source

From Workplace‐Based to Work‐Related Violence: Reframing HRM Research and Practice in the Era of Growing Tensions

Human Resource Management, EarlyView.
ABSTRACT Violence at work has traditionally been conceptualized in human resource management (HRM) as workplace‐based violence—an episodic, interpersonal issue occurring within bounded organizational settings. This perspective article adopts the term work‐related violence as a more expansive and timely framing, encompassing physical, psychological, and
Fang Lee Cooke, Chidozie Umeh, Zhou Jiang, Shuang Ren   +3 more
wiley   +1 more source

Image restoration for ring-array photoacoustic tomography based on an attention mechanism driven conditional generative adversarial network. [PDF]

Photoacoustics
Dong W, Zhang Y, Hu L, Liu S, Tian C.
europepmc   +1 more source