Results 81 to 90 of about 3,751 (165)

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, Volume 2, Issue 2, April 2026.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin, Qian Li, Zhiwei Li, Xukai Zhai, Jinhui Gao   +4 more
wiley   +1 more source

Little Known Facts, Controversies and Misconceptions About Cranial Motor Nuclei (and a New Classification for All Motoneurons, Cranial, and Spinal)

Journal of Comparative Neurology, Volume 534, Issue 4, April 2026.
ABSTRACT Cranial nerves represent a notoriously complex province of the neuroanatomical landscape of the vertebrates. Here, we offer a selection of the anatomic, genetic, and developmental features of their efferent component that are often misrepresented, ignored or controversial, as a complement to more exhaustive treatments of the subject.
Margaux Sivori, Bowen Dempsey, Jean‐François Brunet   +2 more
wiley   +1 more source

Strategic Optimization of Medical Oxygen Supply Chains for Healthcare Response in Concurrent Multi‐Disaster Scenarios

Concurrency and Computation: Practice and Experience, Volume 38, Issue 8, April 2026.
ABSTRACT We propose a dynamic optimization framework for Medical Oxygen Supply Chains (MOSCs) operating under concurrent disasters. The framework aims to minimize both the total response and transportation time, as well as the total operational cost. These goals are subject to constraints involving evacuation, capacity, maintenance, and inventory.
Saptadeep Biswas, Suraj Kumar, Fariba Goodarzian, Uttam Kumar Bera, Erfan Babaee Tirkolaee, Absalom El‐Shamir Ezugwu, Laith Abualigah   +6 more
wiley   +1 more source

Unraveling the Influence of Elevation on Moss Species–Area Relationships and the Effect of Spatial Scale on Elevational Richness Patterns in Mt Wutai With a Nested‐Plot Sampling Design

Ecology and Evolution, Volume 16, Issue 4, April 2026.
We elucidated the effects of elevation on moss SARs and the influence of spatial scale on elevational patterns of moss species richness in Mt Wutai. To date, studies on these two research themes in plants have been largely restricted to vascular plants, whereas equivalent investigations remain scarce for non‐vascular taxa such as mosses.
Haozhe Wang, Fenghua Wang, Yu Zhao, Chenglong Li, Xiaowei Ma, Xiaopan Wang, Lina Zhang, De Gao   +7 more
wiley   +1 more source

Remaining Useful Life (RUL) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects

Engineering Reports, Volume 8, Issue 4, April 2026.
A comprehensive review of model‐based, data‐driven, and hybrid approaches for Remaining Useful Life (RUL) prediction, emphasizing their role in predictive maintenance, fault diagnosis, and enhancing industrial reliability. ABSTRACT This paper aims to provide a state‐of‐the‐art review of the most recent Remaining Useful Life (RUL) prediction methods ...
Arslan Ahmed Amin, Ansa Mubarak, Saba Waseem, Zuhair A. Alqarni, Habib Ullah Manzoor   +4 more
wiley   +1 more source

Conditional Text Generation for AI‐Powered Interviews: A T5‐Based System With GPT‐2 Comparison

Engineering Reports, Volume 8, Issue 4, April 2026.
This work introduces an AI‐based interview system that uses T5 to generate context‐specific interview questions and responses. By comparing it with GPT‐2, the study shows T5's ability to produce more coherent and relevant dialogue, supporting advances in automated interview and conversational AI applications.
Kritika Acharya, Rashna K.C., Sudip Rana
wiley   +1 more source

Inferring statistical trends of the COVID19 pandemic from current data. Where probability meets fuzziness. [PDF]

Inf Sci (N Y), 2021
Apolloni B.
europepmc   +1 more source

Machine Learning and Artificial Intelligence Techniques for Intelligent Control and Forecasting in Energy Storage‐Based Power Systems

Energy Science &Engineering, Volume 14, Issue 4, Page 2318-2344, April 2026.
A new energy paradigm assisted by AI. ABSTRACT The tremendous penetration of renewable energy sources and the integration of power electronics components increase the complexity of the operation and power system control. The advancements in Artificial Intelligence and machine learning have demonstrated proficiency in processing tasks requiring ...
Balasundaram Bharaneedharan, Suresh Panchanathan, Chan Choon Kit, Elumalai Perumal Venkatesan, Nasim Hasan   +4 more
wiley   +1 more source

A Systematic Review on Chinese Baijiu Aging Process in Cellular Built Environment: States, Challenges, and Directions

Food Science &Nutrition, Volume 14, Issue 4, April 2026.
This review addresses a critical gap in Chinese Baijiu aging research: the neglect of physical properties in cellar storage environments. Current studies emphasize microorganisms, CO2, and base liquor interactions, yet lack systematic consideration of environmental dynamics.
Jin Li, Yuwen Wen, Chang Yi, Wenwu Zhou, Yin Zhang   +4 more
wiley   +1 more source