Titlebook: Smart Computer Vision; B. Vinoth Kumar,P. Sivakumar,Junhua Ding Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive

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Detection of Road Potholes Using Computer Vision and Machine Learning Approaches to Assist the Visu is the implementation of the YOLO v3 model that utilizes the Darknet-53 convolutional neural network to perform a fast real-time detection of potholes. The model shows a mean Average Precision (mAP) of 88.01% and a prediction time of 26.90 milliseconds.

盖他为秘密

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Hierarchical-Based Semantic Segmentation of 3D Point Cloud Using Deep Learning,Usefulness of the proposed approach is substantiated by supportive qualitative and quantitative results on shapenet dataset. Our method can produce effective segmentation even for shapes different from the ones used while training.

compassion

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An Effective Diabetic Retinopathy Detection Using Hybrid Convolutional Neural Network Models,m reveals any symptom before it escalates to a stage of no return to effectively treat it. The paper uses convolutional neural network models to achieve an effective classification for diabetic detection of retinal fundus images.

清真寺

Book 2023on enabling computers to see, identify, and process images in the same way that human vision does, and then providing appropriate output. The book provides contributions which include theory, case studies, and intelligent techniques pertaining to computer vision applications. The book helps readers