Results 171 to 180 of about 112,372 (282)

Ultralow‐Power Real‐Time On‐Chip Thermal Prediction via Finite Element Method–Machine Learning Codesign and Field‐Programmable Gate Array Deployment

Advanced Intelligent Systems, EarlyView.
A lightweight machine learning (ML)‐based thermal prediction framework is demonstrated and implemented on a field‐programmable gate array (FPGA). Using measured temperature data from a real chiplet, the approach enables real‐time, die‐level heat‐map inference with low power consumption, validating practical on‐chip thermal monitoring for advanced ...
Jun Ho Lee, Jae Gyu Kim, Sung Jin Kim, Jae Yong Song, Byoung Don Kong   +4 more
wiley   +1 more source

Thermal physiology and movements of skipjack tuna (Katsuwonus pelamis) from tag releases off the northern coast of Japan: Possible insights into spawning and wintering strategies. [PDF]

PLoS One
Ueda Y, Aoki Y, Matsubara N, Senda T, Tanaka T, Tanaka F, Masujima M, Tsuda Y, Kiyofuji H.   +8 more
europepmc   +1 more source

GraphNeuralCloth: A Graph‐Neural‐Network‐Based Framework for Non‐Skinning Cloth Simulation

Advanced Intelligent Systems, EarlyView.
This study presents a cloth motion capture system and a point‐cloud‐to‐mesh processing method to support the prediction of real‐world fabric deformation. GraphNeuralCloth, a graph neural‐network (GNN)‐based framework is also proposed to estimate the cloth morphology change in real time.
Yingqi Li, Xiaomei Wang, Xiaoqi Song, Chenchen Fan, Bohao Zhu, Jianan Peng, Qixin Liang, James Lam, Kam‐Yim Sze, Ka‐Wai Kwok   +9 more
wiley   +1 more source

Failure Analysis of Gear on Rail Transit. [PDF]

Materials (Basel)
Pan AX, Wen C, Wang H, Tao P, Liu X, Gong Y, Yang ZG.   +6 more
europepmc   +1 more source

Micro/Nanorobot for Drug Delivery—A Review of Material Selections

Advanced NanoBiomed Research, EarlyView.
This review explores material strategies for biomedical micro/nanorobots, emphasizing their roles in propulsion, navigation, drug delivery, and biodegradability. It highlights advancements in metallic, polymeric, and hybrid materials, while addressing clinical translation challenges such as toxicity, immune response, and manufacturability.
Xiaozhuo Wu, Bingyun Li, Malcolm Xing
wiley   +1 more source

Response Surface Methodology using desirability functions for multiobjective optimization to minimize indoor overheating hours and maximize useful daylight illuminance. [PDF]

Sci Rep
Gamero-Salinas J, López-Fidalgo J.
europepmc   +1 more source

Survivability under Overheating [PDF]

, 2020
openaire   +1 more source

Arrhenius Activation Energy on Viscous and Radiative Heating of Hybridized Chemical Reactive Magnetized‐Casson Nanofluid Flow in Saturated Porous Media With Varied Heat Source/Sink

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study analyzes the influence of Arrhenius activation energy on the chemically reactive, magnetohydrodynamic Casson hybrid nanofluid flow past an exponentially stretching surface embedded in a Darcy–Forchheimer porous medium with a non‐uniform heat source/sink.
Md. Sailanebaba, MD. Shamshuddin, S. O. Salawu   +2 more
wiley   +1 more source

Numerical Optimization of a Hybrid Cooling System for Lithium‐Ion Battery Packs: PCM‐Assisted and Liquid Cooling Integration

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a hybrid cooling system design that constructs a phase change material (PCM) filled layer between a liquid cooling jacket and cylindrical battery cells, combining the advantages of efficient liquid cooling and passive temperature control from PCM. The system performance was optimized through numerical simulation.
Yuanyuan Ren, Baozhan Lv, Long Zhou, Zonghui Ran   +3 more
wiley   +1 more source

Intervention research to protect human health in the era of climate extremes. [PDF]

PLoS Med
Bärnighausen T, Lumbard H.
europepmc   +1 more source