Results 241 to 250 of about 16,671 (310)

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka   +4 more
wiley   +1 more source

Sex Prediction From the Clavicle Using Computerized Tomography Images via Traditional and Hybrid Deep Learning Models

open access: yesClinical Anatomy, EarlyView.
ABSTRACT The aim of this study is to perform high accuracy sex prediction from clavicle images using proposed hybrid deep learning models and traditional deep learning models. The clavicle of 807 female and 805 male individuals obtained from Computed Tomography were segmented in 3D format and saved in jpeg format as superior–inferior and right–left ...
Yusuf Secgin   +8 more
wiley   +1 more source

Accelerated long-read variant calling with Clair3 for whole-genome sequencing. [PDF]

open access: yesBioinformatics
Zheng Z   +8 more
europepmc   +1 more source

The Future of Foundation Machine Learning Potentials and DFT in Homogeneous Catalysis: Competition or Synergy?

open access: yesChemistry – A European Journal, EarlyView.
Machine‐learning potentials are increasingly taking on the exploratory tasks of homogeneous catalysis, enabling rapid conformer sampling and reaction‐space mapping. However, when selectivity depends on subtle electronic effects, electronic‐structure methods remain essential.
Maxime Ferrer   +3 more
wiley   +1 more source

Investigating the Cytoskeleton of DRGs Using Cryo‐Electron Microscopy and Deep Learning

open access: yesCytoskeleton, EarlyView.
ABSTRACT We describe a method for determining the ultrastructural organization of axons and varicosities of cultured dorsal root ganglion (DRG) neurons using cryogenic electron microscopy (cryo‐EM). Cryo‐EM reveals the dimensions, proximity, and overall organization of biological specimens in a near‐native state, avoiding artifacts of fixation and ...
M. Neal Waxham   +3 more
wiley   +1 more source

Quenching the Hubbard Model: Comparison of Nonequilibrium Green's Function Methods

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT We benchmark nonequilibrium Green's function (NEGF) approaches for interaction quenches in the half‐filled Fermi–Hubbard model in one and two dimensions. We compare fully self‐consistent two‐time Kadanoff–Baym equations (KBE), the generalized Kadanoff–Baym ansatz (GKBA), and the recently developed NEGF‐based quantum fluctuations approach (NEGF‐
Jan‐Philip Joost   +3 more
wiley   +1 more source

Accelerating sow nursing behavior monitoring with modified YOLO11n architecture and TensorRT integration. [PDF]

open access: yesPorcine Health Manag
Rahman M   +5 more
europepmc   +1 more source

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