Results 131 to 140 of about 16,566 (306)
Advanced Intelligent Discovery, EarlyView.Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
A mobile context-aware learning schedule framework with Java learning objects [PDF]
The focus of this thesis is the study of mobile learning, specifically learning in different locations and under various contextual situations, from the perspective of university students.
Yau, Jane Yin-Kim
core
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Integrating Mobile Computing Solutions into Distance Learning Environments
, 2009 This paper assumes that in the near future most students at universities are in possession of a mobile device with the ability to access the world wide web and display multimedia content.
Lu, Joan +2 more
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Advanced Intelligent Discovery, EarlyView.Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
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 +6 more
wiley +1 more source
PLoS ONEThis study investigates the impact of HelloTalk, a mobile-assisted language learning (MALL) platform, on the development of intercultural competence (IC) in Chinese English as a Foreign Language (EFL) students.
Pei Yang, Ziye Yang
doaj +1 more source
Language teachers and pupils going mobile in secondary education in Belgium : ready?
, 2019 This study aims at looking into teachers and learners’ attitudes towards the use of mobile devices for language learning in upper secondary school in French-speaking Belgium.
MOBILLE - Mobile language learning experience +1 more
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Training finnish morphology with a smartphone application in adult beginner level learners [PDF]
The rich inflectional grammar of Finnish is often considered a challenge for second language (L2) learners. However, the inflectional variation is based on relatively systematic morphological and morphophonological rules.
Garusi, Stefano +5 more
core +1 more source
Advanced Intelligent Systems, EarlyView.An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source