Results 171 to 180 of about 34,110 (307)

Navigating opportunities and challenges of generative AI in higher education: towards responsible, equitable, and human-centered integration. [PDF]

Front Artif Intell
Coman C, Gherheș V, Bucs A, Coman E, Victoria-Rodica C, Bódi DC, Șerbănescu RM.   +6 more
europepmc   +1 more source

Parklife and the public: 40 years of personalization in the United Kingdom. [PDF]

Distinktion, 2023
Viney W.
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Evaluating the use of AI in the design of learning situations by university students of early childhood education. [PDF]

Front Psychol
Ester Mariñoso P, Caballero García PÁ, Morales Jareño I, Cañadas Rodriguez E.   +3 more
europepmc   +1 more source

The Hyper-Personalization of War: Cyber, Big Data, and the Changing Face of Conflict [PDF]

, 2014
Dunlap, Charles J., Jr.
core   +1 more source

Explainable AI‐Driven Optimization of Electrode Activation Reduces Power Consumption While Preserving Object Recognition in Retinal Prostheses

Advanced Intelligent Systems, EarlyView.
Explainable artificial intelligence (XAI) guides selective electrode activation in retinal prostheses by emphasizing visually informative regions. XAI‐assisted phosphene generation maintains object recognition performance while significantly reducing stimulation power.
Sein Kim, Hamin Shim, Maesoon Im
wiley   +1 more source

Making data markets: Assetization, valuation, and proxy work in a digital health start-up. [PDF]

Soc Stud Sci
Donia J, Gibson J, Shaw JA.
europepmc   +1 more source

Concentric Rheostat Decoupled 3D Force‐Sensing Module for Smart Table Tennis Training

Advanced Intelligent Systems, EarlyView.
A 3D‐printed sensor array intrinsically decouples normal and shear forces through a unique concentric structural design. By integrating piezoresistive, sliding area‐varying capacitive, and concentric rheostat mechanisms, the 12‐sensor module achieves high‐resolution 3D force mapping without complex algorithms.
Zhe Liu, Kunlin Wu, Bingrui Sim, Wenjie Lai, Xingyu Chen, Jiajun Liu, Yifan Wang, Soo Jay Phee   +7 more
wiley   +1 more source

The human touch in AI: optimizing language learning through self-determination theory and teacher scaffolding. [PDF]

Front Psychol
Ma Y, Chen M.
europepmc   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source