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Optic Disc and Optic Cup Segmentation Methodologies for Glaucoma Image Detection: A Survey
Published 2015-01-01Get full text
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1563
Harnessing the Power of AI to Improve Detection, Monitoring, and Public Health Interventions for Japanese Encephalitis
Published 2024-12-01“…Background/Objectives: The aim of this review is to consider the potential role of artificial intelligence (AI) to improve detection, monitoring and public health interventions for JE. …”
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1564
MSSA: multi-stage semantic-aware neural network for binary code similarity detection
Published 2025-01-01Subjects: Get full text
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1565
Hypertension Detection Using Passive-Aggressive Algorithm With The PA-I And PA-II Methods
Published 2023-03-01“…Researchers get detection results using a branch of AI technology, namely machine learning to find new knowledge from data and find patterns to make diagnoses. …”
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1566
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1567
Noninvasive Methods, including Transient Elastography, for the Detection of Liver Disease in Adults with Cystic Fibrosis
Published 2015-01-01“…BACKGROUND: Liver disease is the third leading cause of mortality in patients with cystic fibrosis (CF). However, detection of CF-associated liver disease (CFLD) is challenging.…”
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1568
Noise Elimination and Contour Detection Based on Innovative Target Image Contour Coding Algorithm
Published 2020-01-01Get full text
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1569
Genetic Variants in the SCN9A Gene are Detected in a Minority of Erythromelalgia Patients
Published 2025-01-01Get full text
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1570
Detection and diagnosis of unknown threats in power equipment using machine learning and Spark technology
Published 2025-01-01“…With the continuous advancement of network technology, attack behaviors have become increasingly diversified, giving rise to new challenges in threat detection. To effectively monitor and diagnose unknown threats, we have created an unknown threat detection model for power equipment based on Spark technology. …”
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1571
Automatic Detection of Cracks in Cracked Tooth Based on Binary Classification Convolutional Neural Networks
Published 2022-01-01“…Inspired by the achievements of applying deep convolutional neural networks (CNNs) in crack detection in engineering, this article proposes an image-based crack detection method using a deep CNN classifier in combination with a sliding window algorithm. …”
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1572
Improving Industrial Quality Control: A Transfer Learning Approach to Surface Defect Detection
Published 2025-01-01Subjects: Get full text
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1573
Eco-friendly optical sensor membrane for nickel ion detection in water and food samples
Published 2025-01-01“…The sensor exhibits a broad linear span ranging from 2.5 to 110 ng mL−1 under pH 4.0 conditions, featuring quantification and detection limits of 2.47 and 0.75 ng mL−1, respectively. …”
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1574
A UAV perspective based lightweight target detection and tracking algorithm for intelligent transportation
Published 2024-12-01Subjects: “…Target detection…”
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1575
MPAR-RCNN: a multi-task network for multiple person detection with attribute recognition
Published 2025-02-01Subjects: Get full text
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1576
Realtime Multispectral Pedestrian Detection With Visible and Far-Infrared Under Ambient Temperature Changing
Published 2024-01-01Subjects: “…Object detection…”
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1577
BiAF: research on dynamic goat herd detection and tracking based on machine vision
Published 2025-02-01Subjects: “…Target detection…”
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1578
Towards Detecting Associations of Canine Astrovirus and Caliciviruses with Health and Living Characteristics of Dogs in Greece
Published 2025-01-01“…Astroviruses and caliciviruses are important causative agents of gastroenteritis in humans worldwide. They have been detected in a variety of animal species, including dogs, but their role in the induction of disease in animals remains uncertain. …”
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1579
RADAR-AD: assessment of multiple remote monitoring technologies for early detection of Alzheimer’s disease
Published 2025-01-01“…Conclusions RMTs show promise in AD detection already in the prodromal stage. Using them could allow for earlier detection and intervention, thereby improving patients’ quality of life. …”
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1580
Fish oocyte morphology detection using neural networks: a comparison of YOLO architectures
Published 2025-01-01“…With the development of deep learning techniques, automatic object detection has become an important mechanism for this task. …”
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