Results 101 to 110 of about 15,951 (227)
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
Advanced Materials Technologies, Volume 11, Issue 17, 3 September 2026.A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source
BSMD-YOLOv8: Enhancing YOLOv8 for Book Signature Marks Detection
Applied SciencesIn the field of bookbinding, accurately and efficiently detecting signature sequences during the binding process is crucial for enhancing quality, improving production efficiency, and advancing industrial automation. Despite significant advancements in object detection technology, verifying the correctness of signature sequences remains challenging due
Long Guo +3 more
openaire +2 more sources
A Novel Activation Function for Enhancing Deep Neural Network Stability and Performance
Concurrency and Computation: Practice and Experience, Volume 38, Issue 18, September 2026.ABSTRACT Activation functions play an important role in the performance of deep learning models by enabling them to learn complex and nonlinear relationships. However, widely used activation functions, such as ReLU, ELU, Swish, and GELU, have certain limitations.
Özcan Küçükali +3 more
wiley +1 more source
Foreign object detection of coal mine conveyor belt based on improved YOLOv8
Gong-kuang zidonghuaThe existing deep learning based foreign object detection models for conveyor belts are relatively large and difficult to deploy on edge devices. There are errors and omissions in detecting foreign objects of different sizes and small objects.
HONG Yan +4 more
doaj +1 more source
Deep Learning‐Based Monitoring of European Hamster Activity
Ecology and Evolution, Volume 16, Issue 9, September 2026.We evaluated the use of a deep learning‐based object detection model (YOLO) to automate camera trap video analysis for monitoring the activity of the critically endangered European hamster (Cricetus cricetus). The AI‐based approach achieved high agreement with human assessments (F1‐score and accuracy of 0.93) and reliably detected temporal activity ...
Marie Wittekind +2 more
wiley +1 more source
Digital Management and Service Optimization of Local Library Collections by Deep Learning Algorithms
Engineering Reports, Volume 8, Issue 9, September 2026.The study proposes a knowledge‐enhanced multi‐field attention model (KEMFA) for local document classification. ABSTRACT This study addressed the digital management and service optimization of local library collections. A KEMFA (Knowledge‐Enhanced Multi‐Field Attention) model was proposed for local document classification.
Jingtao Yu
wiley +1 more source
Радіоелектронні і комп'ютерні системиThe Subject of this research is the development of an intelligent, integrated system for the early detection and causal analysis of fire hazards in large-scale solar power plants (SPPs).
Andrii Lysyi +6 more
doaj +1 more source
Health Science Reports, Volume 9, Issue 9, September 2026.ABSTRACT Background and Aims Diabetic foot ulcers (DFUs), which heal slowly because of inadequate blood supply, are among the serious infections and chronic foot problems that can result from diabetes mellitus (DM). The primary consequence of DFU, which can result in amputation if left untreated.
Md. Nur‐A‐Alam +3 more
wiley +1 more source
YOLOv8-RD: High-Robust Pine Wilt Disease Detection Method Based on Residual Fuzzy YOLOv8
Pine Wilt Disease (PWD) poses a severe threat to the health of pine trees and has resulted in substantial losses to global pine forest resources. Due to the minute size of the pathogens and the concealed symptoms of PWD, early detection through remote ...
Junchao Yuan (24116103) +8 more
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