Results 121 to 130 of about 776,810 (287)

The Shapley Value of Phylogenetic Trees [PDF]

, 2005
Haake C-J, Kashiwada A, Su FE. The Shapley Value of Phylogenetic Trees. Working Papers. Institute of Mathematical Economics. Vol 363. Bielefeld: Universität Bielefeld; 2005.Every weighted tree corresponds naturally to a cooperative game that we call a ...
Kashiwada, Akemi, Su, Francis Edward, Haake, Claus-Jochen   +2 more
core  

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Development of interpretable intelligent frameworks for estimating river water turbidity

Engineering Applications of Computational Fluid Mechanics
Turbidity (TU) is one of the paramount water quality indicators in rivers and streams. Therefore, knowledge of water TU plays a fundamental role in optimal managing and monitoring river water quality.
Amin Gharehbaghi, Salim Heddam, Saeid Mehdizadeh, Sungwon Kim   +3 more
doaj   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Implementation of the Ordinal Shapley Value for a three-agent economy [PDF]

We propose a simple mechanism that implements the Ordinal Shapley Value (Pérez-Castrillo and Wettstein [2005]) for economies with three or less agents.Ordinal Shapley Value, implementation, mechanism ...
David Wettstein, David Pérez-Castrillo
core   +2 more sources

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

Assessing index influence in marine mucilage monitoring via interpretable deep learning

Environmental Research Communications
The increasing frequency and severity of environmental disasters, such as the widespread marine mucilage formation observed in the Sea of Marmara in 2021 and 2022, demand advanced monitoring solutions.
Furkan Yardımcı, Çağatay Esi, Alp Ertürk   +2 more
doaj   +1 more source

The Core of an Extended Tree Game: A New Characterisation [PDF]

Cost allocation problems on networks can be interpreted as cooperative games on a graph structure. In the classical standard tree game, the cost of a service delivered, by a source has to be allocated between homogeneous users at the vertices.
Barbara von Schnurbein
core  

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

AS‐pHopt: An Optimal pH Prediction Model Enhanced by Active Site of Enzymes

Advanced Intelligent Discovery, EarlyView.
To address the low accuracy of enzyme optimal pH (pHopt) prediction, this study develops active site‐based pHopt (AS‐pHopt), a prediction model enhanced by active site information and pseudo‐label prediction. Integrating key structural and physicochemical features affecting enzyme pHopt, AS‐pHopt uses Evolutionary Scale Modeling (ESM)‐2 with active ...
Wenxiang Song, Xinmin Li, Hongbo Yu, Le Xiong, Guixia Liu, Weihua Li, Yun Tang   +6 more
wiley   +1 more source