In Situ Quantization with Memory-Transistor Transfer Unit Based on Electrochemical Random-Access Memory for Edge Applications. [PDF]
Yang Z +9 more
europepmc +1 more source
ABSTRACT Detailed knowledge of the internal anatomy of the root canal system and its variations is essential for selecting appropriate endodontic treatment protocols. Micro‐computed tomography (micro‐CT) allows for nondestructive, high‐resolution three‐dimensional (3D) analysis of extracted teeth, enabling precise evaluation of root canal morphology ...
F. L. P. dos Santos +3 more
wiley +1 more source
Automated Analysis of the Foveal Avascular Zone in Optical Coherence Tomography Angiography Before and After Phacoemulsification. [PDF]
Pighin MS +3 more
europepmc +1 more source
Fibre phantom generation using FibreSimulator: an open‐source Python tool
FibreSimulator is an open‐source tool for generating realistic 3D phantoms of unidirectional fibre‐reinforced polymers, enabling customizable fibre structures and simulating computed tomography scanning for algorithm development and validation.Fibre‐reinforced polymer composites are utilized across many industries for their stiffness and strength ...
Mary Chris Roperos Go +4 more
wiley +1 more source
Impact of Image Preprocessing and Crack Type Distribution on YOLOv8-Based Road Crack Detection. [PDF]
Fan L +4 more
europepmc +1 more source
PUMAA: Establishing a protocol for utilizing machine learning in forensic anthropological analyses
Abstract The use of machine learning (ML) models in forensic anthropology (FA) has increased in the last half decade; however, there is a lack of a standardized protocol on how to curate, use, and assess ML models. We introduce PUMAA (A Protocol for Utilizing Machine Learning in Forensic Anthropological Analyses), which includes a flowchart and a ...
Eman Faisal, Tracy L. Rogers
wiley +1 more source
Inverse-designed metasurfaces for wavefront restoration in under-display camera systems. [PDF]
Jo J +5 more
europepmc +1 more source
Abstract Species distribution models (SDMs) are often used to understand changes to species' distributions and their habitats under different land‐use scenarios, enabling decision makers to prioritize areas for management efforts and balance environmental conservation with socio‐economic demands on the landscape.
Hossam Eldien Abdel Moniem +7 more
wiley +1 more source
A tutorial on Bayesian model averaging for exponential random graph models
Abstract The use of exponential random graph models (ERGMs) is becoming prevalent in psychology due to their ability to explain and predict the formation of edges between vertices in a network. Valid inference with ERGMs requires correctly specifying endogenous and exogenous effects as network statistics, guided by theory, to represent the network ...
Ihnwhi Heo +2 more
wiley +1 more source
AI-Enhanced Imaging for Diabetic Foot Ulcer Risk Assessment and Diagnosis: A Retrospective Cohort Study. [PDF]
Bhattacharya T +5 more
europepmc +1 more source

