Results 191 to 200 of about 52,233 (277)

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang   +5 more
wiley   +1 more source

Liposome Particle Size Prediction by In‐Line Process Analytical Technology (PAT)‐Integrated Machine Learning

open access: yesSmall Methods, EarlyView.
An in‐line PAT‐integrated ML strategy for microfluidic liposome synthesis accurately predicted particle size from formulation parameters and fluoresence sensing data. The model captured both seen and unseen conditions, demonstrating robust generalization and process control with low error.
Junghu Lee   +6 more
wiley   +1 more source

Impact of half‐joint failures on RC girder bridges: A robustness quantification study

open access: yesStructural Concrete, EarlyView.
Abstract The robustness of bridge structures is critical to ensuring safety and service continuity, particularly in aging infrastructure exposed to degradation and unexpected loads. Reinforced concrete (RC) half‐joint bridges—widely built in Italy between the 1950s and 1970s—exhibit specific vulnerabilities due to inspection challenges, durability ...
Paolo Martinelli, Matteo Colombo
wiley   +1 more source

Analogies and differences between the logic behind statistical hypothesis testing and proofs by contradiction: What can we learn from them?

open access: yesTeaching Statistics, EarlyView.
Abstract Statistical hypothesis testing (SHT) is widely employed across numerous scientific disciplines, and a clear understanding of its underlying logic is essential for the broader scientific community. Here, drawing upon both epistemological and statistical perspectives, we aim to clarify—primarily for educational purposes—the logical relationship ...
Maria Cristina Amoretti   +1 more
wiley   +1 more source

A novel AI-enhanced microwave sensor employing defected ground structure for non-invasive glucose monitoring. [PDF]

open access: yesSci Rep
Tekşen FA   +7 more
europepmc   +1 more source

AI‐assisted automated endpoint interpretation for turbidity‐based digital LAMP using bright‐field microscopy

open access: yesVIEW, EarlyView.
Turbidity‐based digital LAMP offers a low‐cost alternative for nucleic acid quantification, but interpreting bright‐field images is difficult due to weak contrast and noise. We developed NanoFuse‐YOLO11, an AI‐based detection model that automatically identifies positive reaction units in turbidity microscopy images.
Zhu Chen   +7 more
wiley   +1 more source

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