Results 151 to 160 of about 13,427 (268)

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

A cross-chain model for warehouse receipts in port supply chain based on notary mechanism and ShangMi cryptographic algorithms. [PDF]

Sci Rep
Chen Y, Ou W, Pang M, Ma J, Yue Q, Han W.   +5 more
europepmc   +1 more source

Taguchi–Bayesian Sampling: A Roadmap for Polymer Database Construction Toward Small Representative Machine Learning

Advanced Intelligent Discovery, EarlyView.
This article establishes a Taguchi–Bayesian sampling strategy to reconstruct polymer processing–property landscape at minimal sampling cost, generically building the roadmap for materials database construction from sampling their vast design space. This sampling strategy is featured by an alternating lesson between uniformity and representativeness ...
Han Liu, Liantang Li
wiley   +1 more source

Predicting Porosity in Grain Compression Experiments Using Random Forest and Metaheuristic Optimization Algorithms. [PDF]

Food Sci Nutr
Chen J, Li J, Zheng D, Zhang Y, Jing H, Han J, Wang M, Zhao R.   +7 more
europepmc   +1 more source

Machine Learning‐Assisted Second‐Order Perturbation Theory for Chemical Potential Correction Toward Hubbard U Determination

Advanced Intelligent Discovery, EarlyView.
In this work, the Doubao large language model (LLM) is involved in the formula derivation processes for Hubbard U determination regarding the second‐order perturbations of the chemical potential. The core ML tool is optimized for physical domain knowledge, which is not limited to parameter prediction but rather serves as an interactive physical theory ...
Mingzi Sun, Tong Wu, Baian Chen, Zikang Li, Qiuyang Lu, Lu Lu, Hon Ho Wong, Cheuk Hei Chan, Bolong Huang   +8 more
wiley   +1 more source

Assessing Racial and Ethnic Disparities in Receipt of Tele-Emergency Care. [PDF]

Med Care
Faiz J, Toyama J, Yuan AH, Jackson N, Patel N, Zhao L, Vashi AA, Fermin P, Washington DL, Cordasco KM.   +9 more
europepmc   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

The Effectiveness of Ergonomic Intervention in Work-related Postures and Upper Crossed Syndrome of Metal Industry Workers. [PDF]

Med Lav
Hosseini SM, Lahoori MA, Rasouli Kahaki Z.   +2 more
europepmc   +1 more source

Advancing Efficient Error Reduction in DNA Data Storage Systems with Deep Learning‐Based Denoising Models

Advanced Intelligent Discovery, EarlyView.
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo, Anshula Tandon, Nguyen Kim Uyen, Quoc Nam Le, Jee‐Hyong Lee, Sung Ha Park   +5 more
wiley   +1 more source

Real-Time Monitoring of Physiological and Postural Parameters to Evaluate Human Reactions in Virtual Reality for Safety Training. [PDF]

Sensors (Basel)
Francia C, Donno L, Covarrubias Rodriguez M, Cascini G, Tarabini M, Galli M.   +5 more
europepmc   +1 more source