Results 201 to 210 of about 66,959 (242)

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

Effects of different telehabilitation methods on postoperative pulmonary rehabilitation of patients with lung cancer: a systematic review and network meta-analysis of randomised controlled trials protocol. [PDF]

BMJ Open
Liu J, Niu H, Li J, Chen Q, Bi H.
europepmc   +1 more source

A Two‐Stage Characterization Pipeline and Open‐Source Framework for Reproducible Tactile Sensing

Advanced Intelligent Systems, EarlyView.
The same soft tactile sensor returns different numbers when embodied in different robots. This is an Embodiment Gap that no shared framework currently captures transparently. A two‐stage characterization pipeline, paired with a FAIR open‐source digital datasheet, decouples intrinsic sensor behavior from embodiment effects and condenses cross‐laboratory
Matteo Lo Preti, Weng Buxiu, Petr Trunin, Muhammad Sunny Nazeer, Lucia Beccai, Perla Maiolino, Cecilia Laschi   +6 more
wiley   +1 more source

Transcultural utility in the implementation of digital SRH interventions in sub-saharan Africa: a scoping review protocol. [PDF]

Front Health Serv
Ntsoane R, Mokgatle MM, Nkabane-Nkholongo E, Jack BW.   +3 more
europepmc   +1 more source

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Correction: Saberianpour et al. A Novel In Vitro Vascularized Dermis Organotypic Model of Acute and Chronic-like Wounds. <i>Cells</i> 2026, <i>15</i>, 485. [PDF]

Cells
Saberianpour S, Terrazzini N, Santin M.
europepmc   +1 more source

Adaptive Collision Sensitivity for Efficient and Safe Human–Robot Collaboration

Advanced Intelligent Systems, EarlyView.
An adaptive collision‐sensitivity framework uses each robot link's effective mass to estimate contact forces online and decide when collaborative robots should stop or continue. Tested on simulated and real UR10e and simulated KUKA arms, it maintains conservative force estimates while reducing unnecessary stops and increasing task productivity. What is
Lukas Rustler, Matej Misar, Matej Hoffmann   +2 more
wiley   +1 more source

Mapping National Governance of AI for Health: Protocol for a Global Scoping Review. [PDF]

JMIR Res Protoc
Wang M, George R, Zhao Y, Singh R, Kalra K, AlSalamah S, Pujari S, Jin Y, Ren M, Labrique A.   +9 more
europepmc   +1 more source

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +4 more
wiley   +1 more source