Results 251 to 260 of about 2,804,512 (374)

Reexamining Korea's successful forest restoration through the revised PDCA framework. [PDF]

Environ Manage
Park H, Han H, Kim D, Kim S.
europepmc   +1 more source

DESCRIPTION OF DOCUMENTS WITH A SPECIFIC SPECIALIZATION IN THE ARCHIVES OF THE NAVOI REGION (ON THE EXAMPLE OF THE KONIMEKH DISTRICT)

Iskandarova Shohsanam Isoyevna
openalex   +1 more source

EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

Advanced Intelligent Systems, EarlyView.
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi, Waqar Hussain Afridi, Muhammad Hamza, Ahsan Tanveer, Mingxin Wu, Xingwen Zheng, Liang Li, Guangming Xie   +7 more
wiley   +1 more source

Enhancing mutation impact prediction in protein-protein interactions through interpretable graph-based multi-level feature interactions. [PDF]

Bioinformatics
Wu S, Xu N, Xin X, Zhang M, Liu H, Zhu H, Wei Z, Zhao C, Yu L, Feng W.   +9 more
europepmc   +1 more source

Retinal Vessel Segmentation: A Comprehensive Review From Classical Methods to Deep Learning Advances (1982–2025)

Advanced Intelligent Systems, EarlyView.
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal, Jan Kubíček, Jana Bahrová, Alice Varyšová, Martin Augustýnek, Marek Penhaker, Juraj Timkovič   +6 more
wiley   +1 more source

Development and optimization of a morphodiversity model for mountainous areas using supervised classification and artificial neural networks. [PDF]

Sci Rep
Bartuś T.
europepmc   +1 more source

Comparing the Latent Features of Universal Machine‐Learning Interatomic Potentials

Advanced Intelligent Systems, EarlyView.
This study quantitatively assesses how universal machine‐learning interatomic potentials encode the chemical space into latent features, showing unique model‐specific representations with high cross‐model reconstruction errors. It explores how training datasets, protocols, and targets affect these encodings.
Sofiia Chorna, Davide Tisi, Cesare Malosso, Wei Bin How, Michele Ceriotti, Sanggyu Chong   +5 more
wiley   +1 more source

CODE beyond FAIR: a roadmap for reusable research software. [PDF]

Sci Data
Di Cosmo R, Granger S, Hinsen K, Jullien N, Le Berre D, Louvet V, Maumet C, Maurice C, Monat R, Rougier NP.   +9 more
europepmc   +1 more source

CARBONE and GUEZE, Draft Model Law on Archives: Description and Text

, 1976
Bianchini, Lucian
openalex   +1 more source