Results 41 to 50 of about 130,226 (225)
Non-local vegetables have become a crucial source of vegetable supply for major cities, establishing stable production-marketing linkage mechanisms between large cities and external vegetable-producing regions is now imperative.
Na Wang, Fangru Liu, Lei Zhang
doaj +1 more source
How AI Shapes the Future Landscape of Sustainable Building Design With Climate Change Challenges?
This review examines how artificial intelligence reshapes sustainable building design faced with climate change challenges. The authors synthesize existing studies to demonstrate AI's transformative potential across design lifecycle phases from climate‐aware form generation to performance optimization.
Pengyuan Shen +5 more
wiley +1 more source
Advancing sentiment classification through a population game model approach
Computational Sentiment Analysis involves the automation of human emotion comprehension by categorizing sentiments as positive, negative, or neutral.
Neha Punetha, Goonjan Jain
doaj +1 more source
This article presents a theoretical and methodological framework for applying a multi-agent systems (MAS) approach to modeling the budgeting processes of local hromadas.
Yevgen Kotukh, Maryna Riabokin
doaj +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Cognitive Hierarchy Theory for Distributed Resource Allocation in the Internet of Things
In this paper, the problem of distributed resource allocation is studied for an Internet of Things (IoT) system, composed of a heterogeneous group of nodes compromising both machine-type devices (MTDs) and human-type devices (HTDs).
Abuzainab, Nof +3 more
core +1 more source
Aqueous Zinc‐Based Batteries: Active Materials, Device Design, and Future Perspectives
This review conducts a comprehensive analysis of aqueous zinc‐based batteries (AZBs) based on their intrinsic mechanisms, including redox reactions, ion intercalation reactions, alloying reactions, electrochemical double‐layer reactions, and mixed mechanisms, systematically discussing recent advancements in each type of AZBs.
Yan Ran, Fang Dong, Shuhui Sun, Yong Lei
wiley +1 more source
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi +5 more
wiley +1 more source
The El Farol Bar Problem Revisited: Reinforcement Learning in a Potential Game [PDF]
We revisit the El Farol bar problem developed by Brian W. Arthur (1994) to investigate how one might best model bounded rationality in economics. We begin by modelling the El Farol bar problem as a market entry game and describing its Nash equilibria ...
Duncan Whitehead
core
Optimum Statistical Estimation with Strategic Data Sources [PDF]
We propose an optimum mechanism for providing monetary incentives to the data sources of a statistical estimator such as linear regression, so that high quality data is provided at low cost, in the sense that the sum of payments and estimation error is ...
Cai, Yang +2 more
core +1 more source

