We introduce texture spectral criteria, which allow us to predict whether simplified spectrally factorized random field-based texture models, a set of two-dimensional models, can faithfully replicate texture spectra c...
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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 Computer Vision;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 Computer Vision 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 with Image Restoration;intelligent Prediction of Cardiac Abnormality.
Network intrusion detection has always been a pivotal area in the field of network security. this paper proposes a novel network intrusion detection model that integrates the K-means algorithm with multiple convolutio...
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the proceedings contain 42 papers. the special focus in this conference is on Dynamic Data Driven Applications Systems. the topics include: Physics-Aware Machine Learning for Dynamic, Data-Driven Radar Target Recognit...
ISBN:
(纸本)9783031526695
the proceedings contain 42 papers. the special focus in this conference is on Dynamic Data Driven Applications Systems. the topics include: Physics-Aware Machine Learning for Dynamic, Data-Driven Radar Target recognition;DDDAS for Optimized Design and Management of 5G and Beyond 5G (6G) Networks;DDDAS-Based Learning for Edge Computing at 5G and Beyond 5G;monitoring and Secure Communications for Small Modular Reactors;Data Augmentation of High-Rate Dynamic Testing via a Physics-Informed GAN Approach;unsupervised Wave Physics-Informed Representation Learning for Guided Wavefield Reconstruction;passive Radio Frequency-Based 3D Indoor Positioning System via Ensemble Learning;deep Learning Approach for Data and Computing Efficient Situational Assessment and Awareness in Human Assistance and Disaster Response and Battlefield Damage Assessment Applications;SpecAL: Towards Active Learning for Semantic Segmentation of Hyperspectral Imagery;generalized Multifidelity Active Learning for Gaussian-process-based Reliability Analysis;Multimodal IR and RF Based Sensor System for Real-Time Human Target Detection, Identification, and Geolocation;learning Interacting Dynamic Systems with Neural Ordinary Differential Equations;Relational Active Feature Elicitation for DDDAS;explainable Human-in-the-Loop Dynamic Data-Driven Digital Twins;transmission Censoring and Information Fusion for Communication-Efficient Distributed Nonlinear Filtering;distributed Estimation of the Pelagic Scattering Layer Using a Buoyancy Controlled Robotic System;towards a Data-Driven Bilinear Koopman Operator for Controlled Nonlinear Systems and Sensitivity Analysis;tracking Dynamic Gaussian Density with a theoretically Optimal Sliding Window Approach;dynamic Data-Driven Digital Twins for Blockchain Systems;Adversarial Forecasting through Adversarial Risk Analysis Within a DDDAS Framework;essential Properties of a Multimodal Hypersonic Object Detection and Tracking System;power Grid Resilience: Data Gaps for Da
In order to deeply mine the behavior characteristics of power demand-side users and strengthen the accurate interaction between source, grid and load, it is of great significance to identify and analyze load patterns ...
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In order to solve the problem of poor intelligent recognition effect of specific mode content information, an intelligent recognition algorithm of specific mode content information based on mobile terminal equipment i...
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Attitude-assisted correction framework for general cheerleading based on visual tracking technology is presented in this paper. In the proposed model, the contributions are focused on the three aspects. (1) A tracking...
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In this paper, we propose a new framework for detecting objects in RGB images captured by conventional cameras by leveraging a set of labeled RGB-D data. We formulate this problem into a new multi-view learning proble...
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In this study, we have developed a biomorphic artificial intelligence system for patternrecognition tasks with adaptive error correction. the system imitates the process of hierarchical information processing inheren...
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