The proceedings contain 326 papers. The topics discussed include: design of low current driver for digital attenuator;a comprehensive metric for evaluating object-oriented software complexity;examining the role of err...
ISBN:
(纸本)9798350354171
The proceedings contain 326 papers. The topics discussed include: design of low current driver for digital attenuator;a comprehensive metric for evaluating object-oriented software complexity;examining the role of error control in ATM networks;an intelligent method for performance of air conditioning system and vehicle fuel economy trade-offs for a hybrid electric vehicle using SA-CNN-LSTM mode;AI-enhanced cloud security framework for IoT networks using a predictive analytics approach;design and analysis of 1710-1880 MHz power amplifier for n3-5G new radio frequency band;duplicate detection in Quora question pairs using machine learning;and advanced machine learning frameworks for multimodal image and speech signal processing.
The latest video coding standard, the Universal video Coding Standard (VVC), uses new coding tools to greatly improve compression efficiency. However, the adaptive QP module in the coding framework ignores the charact...
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The proceedings contain 299 papers. The topics discussed include: time series modelling approach for predictive analytics;research on the recognition of accounting information distortion by random forest algorithm;rec...
ISBN:
(纸本)9798350318609
The proceedings contain 299 papers. The topics discussed include: time series modelling approach for predictive analytics;research on the recognition of accounting information distortion by random forest algorithm;reconstruction and update of 3D model of mechanical products based on 3D point cloud data;prediction of soil organic carbon content using machine learning based fuzzy C-means clustering;fault detection and classification in power transmission lines using discrete wavelet transform-based swish recurrent neural network;immersive dramatic space 3D layout using panoramic image reconstruction algorithm;multi-objective optimization of noise in a high-speed railway by a hybrid algorithm;new energy vehicle customer mining model based on machine learning algorithm;and robotization of agriculture using imageprocessing techniques.
This paper explores the innovation of teaching mode of imageprocessing and machine vision courses under project orientation. Traditional imageprocessing courses always lack a proper practical application, leading to...
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With the increasing popularity of digital video applications, video restoration techniques have become increasingly important. This paper presents a flow-based video restoration method that aims to achieve high-qualit...
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This paper focuses on the application of image classification in forest fire detection using unmanned aerial vehicles (UAVs), discussing the development history of UAV image classification and the significance of mach...
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ISBN:
(纸本)9798350352634;9798350352627
This paper focuses on the application of image classification in forest fire detection using unmanned aerial vehicles (UAVs), discussing the development history of UAV image classification and the significance of machine vision in fire monitoring. Initially, the dataset used for fire detection and the data processing and enhancement techniques are introduced. Subsequently, the construction and architecture of the image classification model are detailed. The core of this study is to enhance the accuracy of model image recognition in complex forest environments by replacing optimizers, modifying the model architecture, and adding modules. Various models and optimizers are compared and analyzed, and the operations and significance of enhancement methods and attention mechanisms are explored. The aim is to improve training effectiveness through these strategies, thereby effectively supporting UAVs in forest fire detection.
Kidney stones are a common medical issue that, if not identified and treated quickly, can result in excruciating pain and other complications. The accuracy and intrusiveness of traditional diagnostic techniques like u...
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There are still challenges in the field of video understanding today, especially how to use natural language to describe the visual content in videos. Existing video encoder-decoder models struggle to extract deep sem...
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The proceedings contain 23 papers. The special focus in this conference is on imageprocessing and Vision Engineering. The topics include: Multi-Scale Surface Normal Estimation from Depth Maps;intrinsic image Decompos...
ISBN:
(纸本)9789897586422
The proceedings contain 23 papers. The special focus in this conference is on imageprocessing and Vision Engineering. The topics include: Multi-Scale Surface Normal Estimation from Depth Maps;intrinsic image Decomposition: Challenges and New Perspectives;vegetation Coverage and Urban Amenity Mapping Using Computer Vision and Machine Learning;a Deep Learning Approach for Estimating the Rind Thickness of Trentingrana Cheese from images;application of Particle Detection Methods to Solve Particle Overlapping Problems;an Anisotropic and Asymmetric Causal Filtering Based Corner Detection Method;layer-wise External Attention for Efficient Deep Anomaly Detection;emotion Based Music Visualization with Fractal Arts;handling Data Heterogeneity in Federated Learning with Global Data Distribution;climbing with Virtual Mentor by Means of video-Based Motion Analysis;normalised Color Distances;fuzzy Inference System in a Local Eigenvector Based Color image Smoothing Framework;3D Reference-Based Skeletal Movement Evaluation;FUB-Clustering: Fully Unsupervised Batch Clustering;from Depth Sensing to Deep Depth Estimation for 3D Reconstruction: Open Challenges;deep Learning and Medical image Analysis: Epistemology and Ethical Issues;an Integrated Mobile Vision System for Enhancing the Interaction of Blind and Low Vision Users with Their Surroundings;automatic Defect Detection in Sewer Network Using Deep Learning Based Object Detector;facial Expression Recognition with Quarantine Face Masks Using a Synthetic Dataset Generator;A Global Multi-Temporal Dataset with STGAN Baseline for Cloud and Cloud Shadow Removal.
CT of the urinary system, abdomen, and kidneys appears to improve kidney stone screening and identification. Segmentation and categorization are essential for kidney stone identification and management. This work deve...
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