Results 131 to 140 of about 1,886 (227)

An Overview of Artificial Intelligence and Machine Learning Approaches for Building Energy Analysis, Characterization, Control, and Grid Support Services Provision

WIREs Energy and Environment, Volume 15, Issue 2, June 2026.
Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant, Hangxin Li, Nawanjana Maheepala, Xiaoyu Lin, Mingkun Dai, Binglong Han, Robin Guan, Lasantha Meegahapola, Shengwei Wang, Dilan Robert, Liuping Wang, Fu Xiao   +11 more
wiley   +1 more source

Predictive Modeling of Localized Mobile App to Improve Snakebite Management in Ghana. [PDF]

PLoS Negl Trop Dis
Nyarko E, Uppal A, Hamman NA, Agyekum L, Antwi P, Mohammed N, Ampomah OA, Atubiga IA, Lang T.   +8 more
europepmc   +1 more source

Reputation and commitment in two-person repeated games

Game Theory;Repeated ...
Cripps, M.W., Thomas, J.P.
core  

A Blotto Game with Incomplete Information [PDF]

We consider a Blotto Game with Incomplete Information. A pure-strategy symmetric monotonic Bayesian equilibrium is found and its properties are discussed. Key words: Blotto Game, Imperfect Information.
Alexander Matros
core  

A Deep Learning Framework for Peak Ground Velocity Prediction Using Multi‐Station Velocity Waveforms: The Taiwan Transformer Shaking Alert Model (TT‐SAM)

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract This study proposes a deep‐learning–based regional earthquake early warning model, the Taiwan Transformer Shaking Alert Model (TT‐SAM). The model adopts peak ground velocity (PGV) as its primary ground shaking prediction unit, aiming to better reflect actual structural damage and thereby enhance the practical utility and accuracy of the ...
Yu‐Heng Chen, Chung‐Han Chan, Chieh‐Chen Chang, Kuo‐Fong Ma   +3 more
wiley   +1 more source

Research on infrastructure network protection strategy based on bayesian stackelberg game under asymmetric conditions. [PDF]

Sci Rep
Zhang J, Gao Y, Kang W, Tian W, Li Y.
europepmc   +1 more source

Beliefs in Network Games (Replaced by CentER DP 2008-05)

Networks can have an important effect on economic outcomes. Given the complexity of many of these networks, agents will generally not know their structure. We study the sensitivity of game-theoretical predictions to the specification of players’ (common)
Kets, W.
core  

Buyer‐Optimal Platform Design

The RAND Journal of Economics, Volume 57, Issue 2, Page 285-299, Summer 2026.
ABSTRACT A platform matches a unit mass of sellers, each owning a single product of heterogeneous quality, to a unit mass of buyers with differing valuations for unit‐quality. After matching, sellers make take‐it‐or‐leave‐it price‐offers to buyers. Initially, valuations of buyers are only known to them and the platform, but sellers make inferences from
Daniele Condorelli, Balazs Szentes
wiley   +1 more source

Analysis of Complex Network Attack and Defense Game Strategies Under Uncertain Value Criterion. [PDF]

Entropy (Basel)
Fu C, Shi Z.
europepmc   +1 more source

Emerging Encapsulation Strategies for Probiotics and Prebiotics

Journal of Food Process Engineering, Volume 49, Issue 6, June 2026.
This review highlights emerging encapsulation strategies that enhance the stability, targeted delivery, and integration of probiotics into functional foods. Advanced systems, including nanofibers, single‐cell coatings, multilayer carriers, and AI‐assisted design, demonstrate enhanced gastrointestinal resistance and scalability, guiding the development ...
Paulo Henrique Silva Lopes, Hugo José Martins Carvalho, Rodrigo Peixoto de Paula e Silva, Mozhgan Esmaeelian, Joyce Maria Gomes da Costa   +4 more
wiley   +1 more source