Results 11 to 20 of about 10,507 (209)
Application of Artificial Intelligence in Detecting Dental Anomalies: Current Models, Imaging Modalities, and Future Directions. [PDF]
Health Sci RepABSTRACT Background and Aim As dental anomalies can significantly affect esthetic and function, early detection and diagnosis are crucial for treatment and minimizing potential negative effects. Artificial intelligence (AI) has emerged as a promising tool for the segmentation and detection of dental anomalies in number, morphology, size, position, and ...
Zarabadi MS +4 more
europepmc +2 more sources
智慧农业, 2022 Objects in farmlands often have characteristic of small volume and high density with variable light and complex background, and the available object detection models could not get satisfactory recognition results.
GUO Xiuming +5 more
doaj +1 more source
Nanoparticle Detection on SEM Images Using a Neural Network and Semi-Synthetic Training Data
Nanomaterials, 2022 Processing images represents a necessary step in the process of analysing the information gathered about nanoparticles after characteristic material samples have been scanned with electron microscopy, which often requires the use of image processing ...
Jorge David López Gutiérrez +2 more
doaj +1 more source
Defect Detection Using Deep Learning-Based YOLOv3 in Cross-Sectional Image of Additive Manufacturing [PDF]
Archives of Metallurgy and Materials, 2021 Deposition defects like porosity, crack and lack of fusion in additive manufacturing process is a major obstacle to commercialization of the process.
Byungjoo Choi +5 more
doaj +1 more source
Jurnal Elektronika dan Telekomunikasi, 2023 The presence of foreign objects in pepper seeds is one of the things that affect the quality of pepper seeds. Farmers in Bangka sell pepper to pepper collectors.
Indra Dwisaputra +3 more
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Underground pedestrian detection model based on Dense-YOLO network
Gong-kuang zidonghua, 2022 The pedestrian detection is a key technology to realize unmanned mining vehicles. The visibility of images captured in low light environment in coal mine is poor, which greatly affects the effect of pedestrian detection. The existing pedestrian detection
ZHANG Mingzhen
doaj +1 more source
Real-Time Hand Gesture Recognition Based on Deep Learning YOLOv3 Model
Applied Sciences, 2021 Using gestures can help people with certain disabilities in communicating with other people. This paper proposes a lightweight model based on YOLO (You Only Look Once) v3 and DarkNet-53 convolutional neural networks for gesture recognition without ...
A. Mujahid +6 more
semanticscholar +1 more source
A method of coal gangue detection based on deep learning
矿业科学学报, 2021 In view of the requirement to separate gangue from coal in coal preparation factory and avoid complex artificial feature design process based on computer vision in the past, an end-to-end gangue detection method by deep learning based on YOLOv3 is ...
Zhao Xuejun, Li Jian
doaj +1 more source
Remote Sensing, 2020 Unmanned aerial vehicle (UAV) remote sensing and deep learning provide a practical approach to object detection. However, most of the current approaches for processing UAV remote-sensing data cannot carry out object detection in real time for emergencies,
Lingxuan Meng +6 more
doaj +1 more source
AIR-YOLOv3: Aerial Infrared Pedestrian Detection via an Improved YOLOv3 with Network Pruning
Applied Sciences, 2022 Aerial object detection acts a pivotal role in searching and tracking applications. However, the large model, limited memory, and computing power of embedded devices restrict aerial pedestrian detection algorithms’ deployment on the UAV (unmanned aerial vehicle) platform.
Yanhua Shao +5 more
openaire +2 more sources