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11th international Advanced Computing conference, IACC 2021

11th International Advanced Computing Conference, IACC 2021

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11th international Advanced Computing conference, IACC 2021

ISBN: (纸本)9783030955014

The proceedings contain 51 papers. The special focus in this conference is on Advanced Computing. The topics include: An Analysis of the Psychological Implications of COVID-19 Pandemic on Undergraduate Students and Efforts on Mitigation;network-Based Identification of Module Biomarker Associated with Hepatocellular Carcinoma;identifying Hub Nodes and Sub-networks from Cattle Rumen Microbiome Multilayer networks;machine Learning-Based Psychology: A Study to Understand Cognitive Decision-Making;predicting Stock Market Prices Using Sentiment Analysis of News Articles;Sentimental Analysis on Multi-domain Sentiment Dataset Using SVM and Naive Bayes Algorithm;artificial Intelligence in Online Stores’ Processes;early Warning Indicators for Financial Crisis During Covid-19;facial Recognition Based Attendance Monitoring System;Covid Alert System: A Smart Security System to Alert Violations of Covid Protocol Using OpenCV;transfer Learning Using Variational Quantum Circuit;gait Learning Using Reinforcement Learning;data Science in the Business Environment: Architecture, Process and Tools;a Logarithmic Distance-Based Multi-Objective Genetic Programming Approach for Classification of Imbalanced Data;multiview Classification with Missing-Views Through Adversarial Representation and Inductive Transfer Learning;Deep Reinforcement Learning Based Throughput Maximization Scheme for D2D Users Underlaying NOMA-Enabled Cellular network;An Intrusion Detection System for Blackhole Attack Detection and Isolation in RPL Based IoT Using ANN;evaluating the Efficacy of Different Neural network Deep Reinforcement algorithms in Complex Search-and-Retrieve Virtual Simulations;post-hoc Explainable Reinforcement Learning Using Probabilistic Graphical Models;ghostbusters: How the Absence of Class Pairs in Multi-Class Multi-Label Datasets Impacts Classifier Accuracy;Corona Virus Detection Using EfficientNet from CT Scans;reLearner: A Reinforcement Learning-Based Self Driving Car Model Using Gym Enviro

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1st international conference on Cyber Warfare, Security and Space Research, SpacSec 2021

1st International Conference on Cyber Warfare, Security and ...

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1st international conference on Cyber Warfare, Security and Space Research, SpacSec 2021

ISBN: (纸本)9783031157837

The proceedings contain 25 papers. The special focus in this conference is on Cyber Warfare, Security and Space Research. The topics include: Privacy Preserving and Secured Clustering of Distributed Data Using Self Organizing Map;implementation of Intrusion Detection Systems in Distributed Architecture;Practical Phase Shift Model for RIS-Assisted D2D Communication Systems;recent Trend of Transform Domain Image Steganography Technique for Secret Sharing;design of a High Efficiency Access Control and Authentication Analysis Model for Cloud Deployments Using Pattern Analysis;A Study on Cyber Security in Various Critical IT Infrastructure Organizational Sectors: Challenges and Solutions;Short-Delay Multipath Errors in NavIC Signals for Stationary Receivers;point Clouds Object Classification Using Part-Based Capsule network;study of Various Attacks Over Images Transferred Optically Through Communication Channel;Brain Tumor Classification via UNET Architecture of CNN Technique;Satellite Image Classification Using ANN;power Quality Disturbance Classification Using Transformer network;on-Orbit, Non-destructive Surface Surveillance and Inspection with Convolution Neural network;ramadan Group Transform Fundamental Properties and Some its Dualities;enhancing Security Mechanism in Smart Phones Using Crowdsourcing;INTELLIBOT - Intelligent Voice Assisted Chatbot with Sentiment Analysis, COVID Dashboard and Offensive Text Detection;analysis of Various Supervised Machine Learning algorithms for Intrusion Detection;enhanced Security Mechanism for Cryptographic File Systems Using Trusted Computing;critical Analysis of IoT Ecosystem to Understand Security Threats and Challenges;hyper-parameters Study for Breast Cancer Datasets: Enhancing Image Security and Accuracy for Prediction Class;An Efficient Image Encryption Technique Using Logistic Map and 2D-TCLM;learning Co-occurrence Embeddings for Sentence Classification;Preventing Fault Attacks on S-Boxes of AES-Like Block Ciphers.

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4th international conference on Futuristic Trends in networks and Computing Technologies, FTNCT 2021

4th International Conference on Futuristic Trends in Network...

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4th international conference on Futuristic Trends in networks and Computing Technologies, FTNCT 2021

ISBN: (纸本)9789811950360

The proceedings contain 80 papers. The special focus in this conference is on Futuristic Trends in networks and Computing Technologies. The topics include: Design of Mobile Application for Farmers;secured Fog-Based System for Smart Healthcare Application;Meta-Heuristic Optimal Path Planning in Blockchain-Aided UAV Swarm network;internet of Behavior in Cybersecurity: Opportunities and Challenges;fusion of Federated Learning and 6G in Internet-of-Medical-Things: Architecture, Case Study and Emerging Directions;rail Track Monitoring System Using Quantum Key Distribution in IoT Scenario;Evaluating Tip Selection algorithms for IOTA Blockchain;LEAPS: Load and Emission Performance Characteristics for Sensor-Driven Green Transport Systems;a Smart Home Automation System Based on Internet of Things (IoT) Using Arduino;generative Adversarial network for Colorization of Mammograms;brain Depletion Recognition Through Iot Sensors Empowered with Computational Intelligence;auction-Based Deadline and Priority-Enabled Resource Allocation in Fog–IoT Architecture;research of Basic Characteristics of Wireless Sensor networks for Energy Monitoring System;An Energy Efficient Routing for Emergency Rescue in IoT-Based WSN;an Energy-Efficient Data Sensing Technique Using Compressive Sensing for IoT-Based Systems;dual-Hop Direct Diffusion Routing Protocol for Energy-Efficient Wireless Sensor network;design and Development of Smart Waste Bin for Effective Waste Collection and Management;randomly Hiding Secret Data Using I-Blocks and E-Blocks for Image Steganography;on the Efficacy of Deep Image Denoising for computer Vision Applications;diabetic Retinopathy Classification Using Pixel-Level Lesion Segmentation;Coverage, Capacity and Cost Analysis of 4G-LTE and 5G networks: A Case Study of Ahmedabad and Gandhinagar;password-Protected Lossless Visible Watermarking Technique for Digital Image;survey: Emotion Recognition from Text Using Different Approaches;cyber-Awareness for Dummies.

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11th international conference on High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production, HPCST 2021

11th International Conference on High-Performance Computing ...

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11th international conference on High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production, HPCST 2021

ISBN: (纸本)9783030941406

The proceedings contain 32 papers. The special focus in this conference is on High-Performance Computing Systems and Technologies in Scientific Research, Automation of Control and Production. The topics include: Mathematical Simulation of Coupled Elastic Deformation and Fluid Dynamics in Heterogeneous Media;numerical Modeling of Electric and Magnetic Fields Induced by External Source in Frequency Domain;improving the Heterogeneous Computing Node Performance of the Desktop Grid When Searching for Orthogonal Diagonal Latin Squares;visual Metamodeling with Verification Based on Surrogate Modeling for Adaptive Computing;recognition algorithms Based on the Selection of 2D Representative Pseudo-objects;applied Interval Analysis of Big Data Using Linear Programming Methods;parallel Computing in Problems of Classification of Teenagers Based on Analysis of Digital Traces;identification of Key Players in a Social Media Based on the Kendall-Wei Ranking;using Time Series and New Information Technologies for Forecasting Sugarcane Production Indicators;Calculation of Activation Functions in FPGA-Based Neuroprocessors Using the Cordic Algorithm;software and Methodology for the Design of System Dynamics Models Based on the Situation-Activity Approach;architecture of an Intelligent network Pyrometer for Building Information-Measuring and Mechatronic Systems;implementation of a network-Centric Production Storage System in Distributed High-Performance Computing Systems;internet of Things for Reducing Commercial Losses from Incorrect Activities of Personnel;method of Constructing the Assigned Trajectory of a Multi-link Manipulator Based on the "Programming by Demonstration" Approach;developing a Microprocessor-Based Equipment Control Panel for Rifle Sports Complexes;methods for Domain Adaptation of Automated Systems for Aspect Annotation of Customer Review Texts;testing Methods for Blockchain Applications.

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NEAT-Net: An Unsupervised Cross-View Prior Inpainting network for CBCT Metal Artifact Reduction 46

NEAT-Net: An Unsupervised Cross-View Prior Inpainting Networ...

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46th Annual international conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024

作者： Yang, Yang Tong, Zhan Zhong, Xinyun Shi, Yijie Xi, Yan Yu, Wenxue Wu, Zhan Chen, Yang First-Imaging Tech Shanghai China Southeast University Laboratory of Image Science and Technology The School of Computer Science and Engineering Nanjing China Southeast University Jiangsu Provincial Joint International Research Laboratory of Medical Information Processing The Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Nanjing China

ISBN: (纸本)9798350371499

Intraoperative Cone-Beam Computed Tomography (CBCT) facilitates intraoperative navigation for Minimally Invasive Spine Surgery (MISS). However, high-attenuation metal implants used in MISS often cause metal artifacts in the reconstructed CBCT images. Current algorithms do not consider the cross-view information in the projection-domain for metal artifact reduction (MAR). Inaccurate projection-domain inpainting results in CBCT MAR lead to tissue blurring and secondary artifacts, significantly compromising the accuracy of CBCT-guided MISS and increasing surgical risks. To address the above challenge, in this paper, we propose a novel unsupervised cross-view prior inpainting network for CBCT Metal Artifact Reduction named NEAT-Net. Firstly, a cross-view prior multi-scale inpainting module is constructed to learn the inter-view complementary information. Secondly, a hybrid feature attention module is proposed to adaptively fuse cross-view features. In addition, an unsupervised training approach is proposed to directly learn from metal-affected data. Extensive experiments are conducted to verify the effectiveness of our algorithm on a real clinical dataset. © 2024 IEEE.

关键词： computerized tomography

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12th international conference on Broadband Communications, networks, and Systems, BROADNETS 2021

12th International Conference on Broadband Communications, N...

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12th international conference on Broadband Communications, networks, and Systems, BROADNETS 2021

ISBN: (纸本)9783030934781

The proceedings contain 24 papers. The special focus in this conference is on Broadband Communications, networks, and Systems. The topics include: Road Rage Recognition System Based on Face Detection Emotion;a Drip Irrigation Remote Control System Using 5G-IoT technology;Multipath QUIC – Directions of the Improvements;ARTI: One New Adaptive Elliptical Weighting Model Combining with the Tikhonov-p-norm for Image Reconstruction;Calculation and Numerical Simulation of Building Integrated Photovoltaic System Based on BIM technology;connected Autonomous Vehicle Platoon Control Through Multi-agent Deep Reinforcement Learning;accurate Estimation on the State-of-Charge of Lithium-Ion Battery Packs;Fire Simulation and Optimal Evacuation Based on BIM technology;Discrete Sliding Mode Control of PMSM with network Transmission;end-to-End Dynamic Pipelining Tuning Strategy for Small Files Transfer;smart Medical and Nursing Platform Based on 5G technology;time-Domain Predictable Trajectory Planning for Autonomous Driving Based on Internet of Vehicles;Rate-Compatible Shortened Polar Codes Based on RM Code-Aided;research on Wheat Impurity Image Recognition Based on Convolutional Neural network;based on Energy Router Energy Management Control Strategy in Micro-grid;containers’ Privacy and Data Protection via Runtime Scanning Methods;digital Twin for Cybersecurity: Towards Enhancing Cyber Resilience;differential Privacy-Based Permissioned Blockchain for Private Data Sharing in Industrial IoT;Efficient Privacy-Preserving User Matching with Intel SGX;developing an Online Examination Timetabling System Using Artificial Bee Colony Algorithm in Higher Education;a Topology-Aware Scheduling Strategy for Distributed Stream Computing System;a Data Stream Prediction Strategy for Elastic Stream Computing Systems.

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international conference on Computing, Communication, Electrical and Biomedical Systems, ICCCEBS 2021

International Conference on Computing, Communication, Electr...

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international conference on Computing, Communication, Electrical and Biomedical Systems, ICCCEBS 2021

ISBN: (纸本)9783030861643

The proceedings contain 55 papers. The special focus in this conference is on Computing, Communication, Electrical and Biomedical Systems. The topics include: Selection of Routing Protocol-Based QoS Improvement for Mobile Ad Hoc network;Mediating Effect of Quality Enhancement Between ICT-Related Factors and Student Satisfaction in Open and Distance Education;a Review on Deep Learning Technique on Basis of Different Types of Crop Diseases;Malicious Firmware Injection Detection on Wireless networks Using Deep Learning TF-IDF Normalization (MFI-IDF);Hybrid Blind Watermarking Using RDWT-DCT in Singular Value Decomposition Domain;a Brief Analysis of Border Gateway Protocol for Internet Controlling and Malicious Attacks;Importance of Information and Communication technology (ICT) in Higher Education Paper;EYE-TM: An Automatic Teller Machine for the Visually Impaired;Online OPD Management with Rating and Review System to Hospitals and Doctors;Wield NodeMCU IOT to Shelter Coal Mining;digital Certificate-Based User Authentication to Access networks and Hosts;food Detection and Nutritional Recognition System Using Neural networks;Analysis and Prediction of COVID-19 Cases Using Machine Learning algorithms;ethereum-Based P2P Lending System (Dao App): Qualitative Review of a Possible Replacement for Lending Practices;Artificial Intelligence to Protect Cyber Security Attack on Cloud E-Learning Tools (AIPCE);Enhancing Social Divergence Using Genetic algorithms and Linked Open Data for Improving Immunity System Against COVID-19;Predictive Water Quality Modeling Using ARIMA and VAR for Locations of Krishna River, Andhra Pradesh, India;multimodal Biometric Person Identification System Based on Speech and Keystroke Dynamics;mining of Customer Review Feedback Using Sentiment Analysis for Smart Phone Product;preface.

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Image Segmentation and Research on Virus Propagation Method Based on Unet Algorithm

Image Segmentation and Research on Virus Propagation Method ...

引用

2022 international conference on Mathematics, Modeling, and computer Science, MMCS 2022

作者： Zhang, Wenyi School of International Studies Wenzhou Business College ZheJiang WenZhou325000 China

ISBN: (纸本)9781510664593

Objective To investigate the propagation performance of the improved Unet network technology in the recognition and segmentation of hemorrhagic regions in brain CT images. Methods A total of 476 brain CT images of patients with spontaneous intracerebral hemorrhage were retrospectively included. The improved Unet network was used to identify and segment the hemorrhagic areas of the patients' brain CT images. Clinicians manually marked the image data of the hemorrhagic areas. 430 pieces of data from 106 patients were selected to enter the training set, and 46 pieces of data from 11 patients were entered into the test set. After the experimental data set was enhanced by data, it underwent network training and model testing to determine the virus cell spreading performance, and segmented the results. Comparison with Unet network, FCN-8s and Unet++ network. Results In the segmentation of the hemorrhagic region of brain CT images by the improved Unet network, the three evaluation indexes of similarity coefficient, forward prediction coefficient and sensitivity coefficient reached 0.8738, 0.901 1 and 0.864 8 respectively, which were improved respectively compared with FCN-8s network. 8.80%, 7.14% and 8.96%, which are 4.56%, 4.44% and 4.15% higher than the Unet network respectively. © 2023 SPIE.

关键词： Image segmentation

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Visual Object Tracking: Method and Comparison 2

Visual Object Tracking: Method and Comparison

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2nd IEEE international conference on Electronic technology, Communication and Information, ICETCI 2022

作者： Li, Qiangyu Quan, Letian Sun, Zhuangzhi Wu, Yuchen Hubei University Wuhan China Shanghai University Shanghai China Hunan International Economics Hunan China China University of Geosciences Beijing China

ISBN: (数字)9781728181158

ISBN: (纸本)9781728181158

Visual Tracking is an important branch of computer vision, it begins with a frame, identify target objects from different backgrounds, modeling target's appearance, analysis and modeling target's motion information in the subsequent frames, so as to continuously predict the motion state of the target, and determine its position in each frame of image, and finally realize the tracking of an object. In recent years, many excellent and classic algorithms and frameworks have emerged in this field, this is divided into two main categories, which are correlation filtering methods and deep learning methods. They have their own advantages. For example, excellent correlation filters can achieve high-speed and stable tracking effects. With the help of deep learning networks, target features can be obtained in advance to achieve more accurate tracking. In this paper, we have summarized 15 papers covering four directions or fields of Correlation Filter, Siamese network, Multi-domain network and Transformer. The summary includes 2 frameworks and 13 algorithms or methods. We also analyzed the advantages and disadvantages of the summarized algorithms, and gave a performance comparison between different algorithms. © 2022 IEEE.

关键词： Deep learning

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3rd international conference on 3D Imaging Technologies- Multidimensional Signal Processing and Deep Learning, 3DIT-MSP and DL 2021

3rd International Conference on 3D Imaging Technologies- Mul...

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3rd international conference on 3D Imaging Technologies- Multidimensional Signal Processing and Deep Learning, 3DIT-MSP and DL 2021

ISBN: (纸本)9789811924477

The proceedings contain 24 papers. The special focus in this conference is on 3D Imaging Technologies- Multidimensional Signal Processing and Deep Learning. The topics include: Grid False Data Intrusion Detection Method Based on Edge Computing and Federated Learning;comparative Analysis of Automatic Poetry Generation Systems Based on Different Recurrent Neural networks;citrus Positioning Method Based on Camera and Lidar Data Fusion;network Intrusion Detection Based on Apriori-Kmeans Algorithm;research on the Adaptive Matching Mechanism of Graphic Design Elements Based on Visual Communication technology;research on Graphic Design of Digital Media Art Based on computer Aided Algorithm;water Environmental Quality Assessment and Effect Prediction Based on Artificial Neural network;full-Focus Imaging Detection of Ship Ultrasonic-Phased Array Based on Directivity Function;research on Visual Communication of Graphic Design Based on Machine Vision;dynamic Grey Wolf Optimization Algorithm Based on Quasi-Opposition Learning;innovative Design of Traditional Arts and Crafts Based on 3D Digital technology;Insulator Detection Study Based on Improved Faster-RCNN;image-Based Physics Rendering for 3D Surface Reconstruction: A Survey;Global Analysis of Discrete SIR and SIS Systems;a Fast Heuristic k-means Algorithm Based on Nearest Neighbor Information;Color Restoration of RGB-NIR Images in Low-Light Environment Using CycleGAN;preface;longitudinal Structure Analysis and Segmentation Algorithm of Dongba Document;development of Mobile Food Recognition System Based on Deep Convolutional network;a Novel Space Division Rough Set Model for Feature Selection;Overview of SAR Image Change Detection Based on Segmentation;image Recognition Methods Based on Deep Learning.

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