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Degradation Pattern of High Speed Roller Bearings Using a Data-Driven Deep Learning Approach
In this paper, a data-driven approach is utilized for bearing condition monitoring involving the classification of different operating states by...
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Object and defect detection in additive manufacturing using deep learning algorithms
Additive manufacturing (AM) allows the construction of customized objects from the 3D printing of pre-modeled objects. Defects may occur during the...
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Attention aware cross faster RCNN model and simulation
The rapid development of artificial intelligence has made various automated machines generally appear. In the catering industry, automatic billing...
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Deep Learning Techniques in Leaf Image Segmentation and Leaf Species Classification: A Survey
Plants have elemental importance for all life forms. The research areas in the field of plant sciences for botanists and agriculturists include the...
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Grouped mask region convolution neural networks for improved breast cancer segmentation in mammography images
Mammography is one of the most effective tools radiologists use to detect breast cancer early, as it can detect cancer up to ten years before it...
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Glaucoma Stage Classification Using Image Empirical Mode Decomposition (IEMD) and Deep Learning from Fundus Images
Glaucoma is an ocular pathology characterized by the gradual deterioration of neural cells in the eye, which is attributed to elevated intra ocular...
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Transfer Learning Approach for Railway Technical Map (RTM) Component Identification
The extreme popularity over the years for railway transportation urges the necessity to maintain efficient railway management systems around the...
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Development of an AI system for characterization of fiber-reinforced polymer composite materials
Studies of new materials that are accessible and that minimize environmental effects are fundamental. In this sense, polymers emerge as an accessible...
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RCA: YOLOv8-Based Surface Defects Detection on the Inner Wall of Cylindrical High-Precision Parts
In this study, we propose a random crop** augmentation (RCA) based on an optimized YOLOv8 algorithm by introducing a tiny object detection layer to...
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Recognition of Pest Based on Faster RCNN
Effective prediction of crop pest species and quantities can provide a priori knowledge for pest control. However, there are many kinds of pests and...
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Deep Learning Approach for Early Diagnosis of Jaundice
Jaundice is a yellow discoloration of the body caused by an increased level of bilirubin. Globally, newborns and adults are both affected by this...
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Improving table detection for document images using boundary
Locating tables in document images is the first step to extracting table information, and high location precision is required. The dominant approach...
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A novel F-RCNN based hand gesture detection approach for FMCW systems
With the rapid development of artificial intelligence, hand gesture detection has gradually become a research hotspot in human–computer interaction....
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FIODC Architecture: The Architecture for Fashion Image Annotation
An approach to computer vision known as object detection is utilised to locate items in images or videos. Object detection methods usually use...
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A Review on YOLOv8 and Its Advancements
Object detection is a crucial task in computer vision that has its application in various fields like robotics, medical imaging, surveillance...
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Research on text detection on building surfaces in smart cities based on deep learning
In recent years, with the construction and development of smart cities, text recognition in building images can not only achieve geolocation but also...
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An Incident Identification Method Based on Improved RCNN
An emergency is a sudden and harmful event. It is of great significance to quickly identify the event and reduce the harm caused by the event. In...
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An enhanced skin lesion detection and classification model using hybrid convolution-based ensemble learning model
BackgroundOne of the major health concerns that affect the well-being of people around the world is called as the skin cancer. Among diverse kinds of...
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Enhanced Dynamic Vehicle Detection and Tracking to Improve the Quality of Image Processing Using Deep Learning
One of the most crucial duties in varied traffic scenarios is vehicle recognition and categorization. Vehicle detection is the first step in tracking...
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Automatic Detection and Spline-Based Pixel-Length Estimation of Fishes from Images
Sustainable aqua farming is gaining momentum as the need for ecological preservation, at present, is being felt more intensely. For this, it is...