Results 121 to 130 of about 70,662 (259)

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 simulation model to predict agricultural tractor-semi-trailer combination traction performance under different operating conditions. [PDF]

Sci Rep
Fouda T, Hegazy R, Alhamshary K.
europepmc   +1 more source

TD-2 EVALUATION OF CHARACTERISTICS OF TRACTION GREASE AT LOW TEMPERATURE(TRACTION DRIVES)

The Proceedings of the JSME international conference on motion and power transmissions, 2001
YAMANAKA, Masashi, YAMAZAKI, Yasuyuki, INOUE, Katsumi, HATA, Hitoshi   +3 more
openaire   +1 more source

Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art

Advanced Intelligent Discovery, EarlyView.
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser, Haseeb Muhammad, Junaid Younas, Gillian Lovell, Bianca Migliori, Andreas Dengel, Sheraz Ahmed   +6 more
wiley   +1 more source

The Impact of Football Boot Design on Lower Limb Injury Risk: A Systematic Review. [PDF]

Sports Med Open
Yang F, Huang J, Wei Q, Jiang L, Liang D.   +4 more
europepmc   +1 more source

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

Clinical efficacy of acupuncture in the treatment of sciatica during the remission phase of lumbar disc herniation: A secondary analysis of a randomized controlled trial. [PDF]

Medicine (Baltimore)
Shi F, Wu Z, Zhang S, Yin J, Liu Y, Li Z, Jin J, Liu N, Wang G, Wen H, Chen C, Feng Y, Lin H.   +12 more
europepmc   +1 more source

Extending Battery Usage Time of a Heavy‐Duty Mecanum‐Wheeled Autonomous Electric Vehicle Used in Iron–Steel Industry by Considering Wheel Slippage

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar, Goktug Hambarci, Ali Sezai Demirel   +2 more
wiley   +1 more source

Traction radiographs improve evaluation of complex intertrochanteric fractures: Surgeon experience-independent effects in a nationwide simulation-based study. [PDF]

Ulus Travma Acil Cerrahi Derg
Kahraman HÇ, Kılınç BE, Erdem HF, Yavuz O, Gultekin O, Yılmaz B.   +5 more
europepmc   +1 more source

Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)

Advanced Intelligent Systems, EarlyView.
This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley   +1 more source