Results 161 to 170 of about 185,860 (265)

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

Predictors of long-term resistance exercise adherence: evidence from a large cohort of mobile app users of various experience levels. [PDF]

Front Sports Act Living
Conti F, Marzagão T, Galpin AJ, Schoenfeld BJ.   +3 more
europepmc   +1 more source

Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function

Advanced Intelligent Systems, EarlyView.
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia, Gengkai Hu, Boo Cheong Khoo, Rolf Müller   +3 more
wiley   +1 more source

Editorial: Stories of abandonment. A biographical-narrative approach to the academic dropout in Andalusian Universities. Multicausal analysis and proposals for prevention

Frontiers in Education
Manuel Fernández Cruz, Antonio Hernández Fernández   +1 more
doaj   +1 more source

Identifiability and model misspecification for modelling recurrent infections using routine health care data. [PDF]

Am J Epidemiol
Yan AWC, Flegg JA, Poespoprodjo JR, Douglas NM, Price RN, Devine A, Price DJ, Chisholm RH.   +7 more
europepmc   +1 more source

A Soft Robotic Finger With Deep Learning‐Enhanced Tactile Sensing for Texture and Softness Recognition

Advanced Intelligent Systems, EarlyView.
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al, Arya Shabani, Nicos Hadjigeorgiou, James Fant‐Male   +3 more
wiley   +1 more source

Identifying Patients at Risk for Psychotherapy Dropout in Community Settings.

JAMA Netw Open
Giber B, Sharma A, Broadie D, McCoy TH, Gunning FM, Perlis RH, Doshi-Velez F, Solomonov N.   +7 more
europepmc   +1 more source

Predicting antenatal care dropout using machine learning and describing maternal and neonatal outcomes by dropout status in Sidama Region, Ethiopia: a retrospective cohort study. [PDF]

BMJ Open
Yoseph A, Mussie L, Belayneh M.
europepmc   +1 more source

Benchmarking Data‐Driven Control of Octopus‐Inspired Soft Arms in Underwater Environment

Advanced Intelligent Systems, EarlyView.
Underwater soft robots present safe, compliant interaction, yet reproducible control remains scarce. This work presents an open benchmark for octopus‐inspired arms: a smooth, velocity‐diverse data‐collection scheme produces a compact dataset to train a vanilla policy.
Muhammad Sunny Nazeer, Yasmin Tauqeer Ansari, Emanuele Solfiti, Baljinder Singh Bal, Matteo Lo Preti, Barbara Mazzolai, Cecilia Laschi   +6 more
wiley   +1 more source

Integrating zero-inflation correction and transcriptional kinetics for single-cell transcriptomic analysis. [PDF]

PLoS Comput Biol
Yang C, Liao Y, Sheng Y, Jiao F.
europepmc   +1 more source