the delineation of bone tumor boundaries is a critical issue in the field of medical image segmentation due to the unique positioning of these tumors and the complexity of the associated surgical procedures. In recent...
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the proceedings contain 69 papers. the special focus in this conference is on Recent Trends in Machine Learning. the topics include: Implementation of Dual-Band Dielectric Resonator Antenna for 5G Applications;defect ...
ISBN:
(纸本)9789819994410
the proceedings contain 69 papers. the special focus in this conference is on Recent Trends in Machine Learning. the topics include: Implementation of Dual-Band Dielectric Resonator Antenna for 5G Applications;defect Detection in Metal Surfaces Using computervision;liver Cirrhosis Prediction Using Machine Learning Classification Techniques;a Recent Survey on Risk Factors Affecting the Blood Pressure in India;Real-Time Monitoring System for Breakdown Analysis and OEE in the Wire Drawing Industry;tooth Sensitivity Device—Detection and Diagnosing of Sensitivity in the Dental Pulp;recognition of Skin Cancer;ioT-Based Smart Street Lighting Surveillance System;rock Segmentation of Real Martian Scenes Using Dual Attention Mechanism-Based U-Net;IAAS: IoT-Based Automatic Attendance System with Photo Face recognition in Smart Campus;hardware Implementation of Moving Object Detection Using Background Subtraction Algorithm;crime pattern Identification and Prediction Using Machine Learning;IMICE: An Improved Missing Data Imputation Using Machine Learning;analyzing Students’ Opinion on E-Learning—Indian Students’ Perspective;rash Driving Detection and Alerting System;Logistic-Based OVA-CNN Model for Alzheimer’s Disease Detection and Prediction Using MR images;Comparative Study of CNNs for Camouflaged Object Detection;3D Avatar Reconstruction Using Multi-level Pixel-Aligned Implicit Function;Helmet Detection Using YOLO-v5 and Paddle OCR for Embedded Systems;defogNet: A Residual Network for Removal of Fog Using Weighted Combination Loss;Text-to-image Generation Model with DNN Architecture and computervision for Embedded Devices Using Quantization Technique;one-Shot Learning for Archaeological Site Data Using Deep Neural Network on Embedded Systems;enhanceNet: A Deep Neural Network for Low-Light image Enhancement withimage Restoration;intelligent Prediction of Cardiac Abnormality.
Electron beam processing usually needs to be carried out in a vacuum environment. the influence of high temperature and high concentration of metal vapor makes it difficult for traditional machine vision observation s...
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the model based on object detection algorithm shows great advantages in accuracy and precision rate. However, due to the different sizes of the targets to be detected in the images, coupled withthe interference of fa...
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In order to improve the anti-noise performance of traditional image binarization methods, this paper proposes a novel binarization method for low-quality images based on threshold array system. the proposed method inv...
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At present, imageprocessing has widely utilized in tremendous downstream applications including robotics, detection sensors and industrial products. Existing processing methods have achieved considerable accuracy tow...
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Deep learning is a machine learning technique that has significantly improved results in many areas such as computervision, speech recognition, machine translation, and biomedical imaging analysis and understanding. ...
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Fluidized bed granulation is a unit operation widely used in the pharmaceutical, chemical and food processing industries. It is a manufacturing technology that by suspending lose powders using hot air and transforms t...
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Face recognition technology has made significant progress and has been widely applied in various fields due to its advantages of non-contact, non-intrusive, and concurrency, which ensures real-time performance while i...
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the preservation and analysis of ancient Pali manuscripts are crucial for understanding India's cultural heritage. However, the unique shapes of Pali characters present significant challenges for accurate identifi...
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