Results 191 to 200 of about 6,549,938 (256)

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

Consensus expert recommendations for referral of Parkinson's disease patients for deep brain stimulation surgery. [PDF]

NPJ Parkinsons Dis
Safarpour D, Spindler M, Turner TH, Patel N, Vaou O, Cabrera LY, Tolleson C, Tipton PW, Aquino C, Herrington TM, Sidiropoulos C, Hantke N, Lotia M, Miocinovic S, Sharma VD, Mills KA, Wyman-Chick K, Kilbane C, Luca C, Almeida L, Rosenow J, Ooi HY, Mari Z, Luo L, Munhoz RP, Jesus S, Sarva H, Arena M, Revuelta G, Chou KL, Fasano A, Siddiqui MS, Jimenez-Shahed J, Functional Neurosurgical working group of the Parkinson Study Group.   +33 more
europepmc   +1 more source

Assessment of In Vitro Nano‐Cytotoxicity Through Fluorescence Microscopy via Neural Network‐Based Live/Dead Cell Classification

Advanced Intelligent Systems, EarlyView.
FluoAI is a two‐stage, label‐free method for quantifying nanomaterial‐induced cytotoxicity from conventional fluorescence microscopy images. Mask R‐CNN segmentation and DenseNet‐121 classification provide rapid live/dead classification matching human accuracy.
Ugur C. Topkiran, Ali Gasimli, Lal Durmaz, Diya Vashani, Himish Paul, Giridhar R. Akkaraju, Anton V. Naumov   +6 more
wiley   +1 more source

Global research synergy: Advancing fundamental Parkinson's research through international collaboration. [PDF]

J Parkinsons Dis
Gutierrez-Arratia J, Saffie-Awad P, Schuh AF, Cornejo-Olivas M.   +3 more
europepmc   +1 more source

Behaviorally Adaptive and Inclusive Advanced Driver‐Assistance Systems

Advanced Intelligent Systems, EarlyView.
Advanced driver‐assistance systems (ADASs) are mapped as evolving human‐centered, adaptive technologies linking sensing, driver monitoring, AR/HUD interfaces, patents, regulation, and inclusive design. The review identifies gaps in real‐world evidence, diverse‐driver validation, gaze metrics, and governance, outlining a roadmap for safer, behaviorally ...
Jana Skirnewskaja, Mardavij Roozbehani, Munther A. Dahleh   +2 more
wiley   +1 more source

Dance-Based Interventions for Mental Health: A Comprehensive and Quality-Sensitive Umbrella Review of Definitions, Measurement Practices, and Evidence Fragmentation. [PDF]

Ann N Y Acad Sci
Dou X, Zhu X.
europepmc   +1 more source

Sheila E. McGinn, The Jesus Movement and the World of the Early Church

Obnovljeni Život : časopis za filozofiju i religijske znanosti, 2016
openaire   +2 more sources

Lab‐Scale Fabrication Process Selection for Soft Robotics: Benchmarking, Tradeoffs, and Guidelines for Formative Manufacturing of Soft Silicone Components

Advanced Intelligent Systems, EarlyView.
Fabrication shapes soft robot performance, but benchmarking data and selection guidelines remain scarce. We fabricate silicone actuators using two molding techniques and three mold types, characterizing them with cycle testing, microscopy, profilometry, and 3D imaging. Applying our lab‐scale, soft robotics‐specific fabrication evaluation criteria shows
Charlotte M. Folinus, Daniel Massimino, Cat Arase, Kaitlyn P. Becker   +3 more
wiley   +1 more source

Experience implementing a sporotrichosis surveillance and control program in free-roaming cats on a university campus. [PDF]

PLoS One
Geovana Nunes Alves R, Araujo Martins Ferreira B, Santos DO, da Silva Jesus L, Moreira de Souza B, Ruas de Araújo G, Kunrath Lima G, de Azevedo MI, do Carmo Magalhães F, de Magalhães Soares DF, Fonseca de Oliveira CS.   +10 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