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检索条件"任意字段=3rd International Conference on Data and Software Engineering, ICoDSE 2016"

共 7511 条记录，以下是1-10 订阅

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2024 3rd international conference on Cloud Computing, Big data Application and software engineering, CBASE 2024

2024 3rd International Conference on Cloud Computing, Big Da...

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3rd international conference on Cloud Computing, Big data Application and software engineering, CBASE 2024

ISBN: (纸本)9798331506582

The proceedings contain 170 papers. The topics discussed include: research and application of intelligent cluster injection technology for shale gas foam drainage and gas recovery;resource scheduling of high-performance computing clusters based on the combination of ant colony algorithm and active caching strategy;DevoGAN: a method for enhancing quality and diversity in sequence generation using generative adversarial networks with dual evolutionary algorithms;research on optimization of byzantine fault-tolerant consensus algorithm based on involvement;a study on multi-objective cloud-edge collaborative task scheduling method for edge networks;and three-dimensional path planning for unmanned aerial vehicles based on a hybrid strategy and an improved dung beetle optimization algorithm.

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Proceedings of the 2020 3rd international conference on software engineering and Information Management, ICSIM 2020 - Workshop 2020 the 3rd international conference on Big data and Smart Computing, ICBDSC 2020

Proceedings of the 2020 3rd International Conference on Soft...

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3rd international conference on software engineering and Information Management, ICSIM 2020 - and its Workshop 2020 the 3rd international conference on Big data and Smart Computing, ICBDSC 2020

ISBN: (纸本)9781450376907

The proceedings contain 46 papers. The topics discussed include: marker less hand gesture tracking using smart phones;friendnet backdoor: indentifying backdoor attack that is safe for friendly deep neural network;improving core topics discovery in semantic markup literature: a combined approach;an integrated of fuzzy rule base system and TOPSIS technique for multi-attribute decision making;efficient semantic segmentation through dense upscaling convolutions;dynamic image quality analysis and comparison between 6MHz and 8MHz bandwidths for DVB-C digital TV system;a cooperative trust evaluation scheme for tactical wireless sensor networks;and the moderating effects of mentoring in ERP systems.

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ICCBD 2020 - 2020 3rd international conference on Computing and Big data: Workshop 2020 2nd international conference on Computer, software engineering and Applications, CSEA 2020

ICCBD 2020 - 2020 3rd International Conference on Computing ...

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3rd international conference on Computing and Big data, ICCBD 2020 and its Workshop the 2020 2nd international conference on Computer, software engineering and Applications, CSEA 2020

ISBN: (纸本)9781450387866

The proceedings contain 14 papers. The topics discussed include: investigating airplane crash data with watson analytics and Cognos analytics;a comparative analysis of the impact of Taobao image reviews on the sales of search products and experience products;design and implementation of a distributed container-deployed web business traffic generator;research on the recognition of opinion leaders in social media based on social network analysis theory;dynamic android malware analysis with de-identification of personal identifiable information;an empirical study of multi-threading paradigms: reactive programming vs continuation-passing style;an annotated union catalog of local history resources on region 8: basis for an enhanced computerized database;and backpropagation neural network with feature sensitivity analysis: a pothole prediction model for flexible pavements using traffic and climate – associated factors.

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ICBASE 2022 - Proceedings of the 2022 3rd international conference on Big data and Artificial Intelligence and software engineering

ICBASE 2022 - Proceedings of the 2022 3rd International Conf...

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3rd international conference on Big data and Artificial Intelligence and software engineering, ICBASE 2022

The proceedings contain 39 papers. The topics discussed include: vibration region extraction method of bridge based on ground-based MIMO radar;academic paper knowledge graph, the construction and application;research on test case generation method of airborne software based on NLP;3D dynamic hand gesture recognition with fused RGB and depth images;refined balanced resource allocation based on Kubernetes;visible region enhancement network for occluded pedestrian detection;a hierarchical-based frequent itemset mining method under local differential privacy;similarity-aware attention network for multimodal fake news detection;pedestrian attribute recognition based on multi-scale feature fusion over a larger receptive field and strip pooling;stowaway mining: a selfish mining against strategy;spatiotemporal attention networks for traffic demand prediction;and benefits analysis of Chinese cities on urban networks based on evolutionary games.

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international conference on Computer Safety, Reliability, and Security, SAFECOMP 2017 and 5th international Workshop on Assurance Cases for software-Intensive Systems, ASSURE 2017, 12th Workshop on Dependable Embedded and Cyber-physical Systems and Systems-of Systems, DECSoS 2017, 6th international Workshop on Next Generation of System Assurance Approaches for Safety Critical Systems, SASSUR 2017, 3rd international Workshop on Technical and Legal Aspects of data Privacy and Security, TELERISE 2017 and 2nd international Workshop on the Timing Performance in Safety engineering, TIPS 2017

International Conference on Computer Safety, Reliability, an...

引用

international conference on Computer Safety, Reliability, and Security, SAFECOMP 2017 and 5th international Workshop on Assurance Cases for software-Intensive Systems, ASSURE 2017, 12th Workshop on Dependable Embedded and Cyber-physical Systems and Systems-of Systems, DECSoS 2017, 6th international Workshop on Next Generation of System Assurance Approaches for Safety Critical Systems, SASSUR 2017, 3rd international Workshop on Technical and Legal Aspects of data Privacy and Security, TELERISE 2017 and 2nd international Workshop on the Timing Performance in Safety engineering, TIPS 2017

ISBN: (纸本)9783319662831

The proceedings contain 39 papers. The special focus in this conference is on Computer Safety, Reliability, and Security. The topics include: Making the case for safety of machine learning in highly automated driving;a thought experiment on evolution of assurance cases —from a logical aspect;a thought experiment on evolution of assurance cases from a logical aspect;uniform model interface for assurance case integration with system models;integrated model-based development of system and safety cases;a web based GSN editor for multiple stakeholders;towards combined safety and security constraints analysis;reconciling systems-theoretic and component-centric methods for safety and security co-analysis;reconciling systems-theoretic and component-centric methods for safety and security co-analysis;increasing dependability in safety critical CPSs using reflective statecharts;a survey of hardware technologies for mixed-critical integration explored in the project EMC2;a model-based design approach;GSN support of mixed-criticality systems certification;concepts for reliable communication in a software-defined network architecture and combining safety and security analysis for industrial collaborative automation systems.

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12th international Workshop on Biological Knowledge Discovery from data, BIOKDD 2021, 5th international Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2021, 3rd international Workshop on Machine Learning and Knowledge Graphs, MLKgraphs 2021, 1st international Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply, AI-CARES 2021, 1st international Workshop on Time Ordered data, ProTime2021 and 1st international Workshop on AI System engineering: Math, Modelling and software, AISys2021 held at 32nd international conference on database and Expert Systems Applications, DEXA 2021

12th International Workshop on Biological Knowledge Discover...

引用

12th international Workshop on Biological Knowledge Discovery from data, BIOKDD 2021, 5th international Workshop on Cyber-Security and Functional Safety in Cyber-Physical Systems, IWCFS 2021, 3rd international Workshop on Machine Learning and Knowledge Graphs, MLKgraphs 2021, 1st international Workshop on Artificial Intelligence for Clean, Affordable and Reliable Energy Supply, AI-CARES 2021, 1st international Workshop on Time Ordered data, ProTime2021 and 1st international Workshop on AI System engineering: Math, Modelling and software, AISys2021 held at 32nd international conference on database and Expert Systems Applications, DEXA 2021

ISBN: (纸本)9783030871000

The proceedings contain 23 papers. The special focus in this conference is on database and Expert Systems Applications. The topics include: Semantic Influence Score: Tracing Beautiful Minds Through Knowledge Diffusion and Derivative Works;robust and Efficient Bio-Inspired data-Sampling Prototype for Time-Series Analysis;membership-Mappings for data Representation Learning: Measure Theoretic Conceptualization;membership-Mappings for data Representation Learning: A Bregman Divergence Based Conditionally Deep Autoencoder;data Catalogs: A Systematic Literature Review and Guidelines to Implementation;task-Specific Automation in Deep Learning Processes;approximate Fault Tolerance for Edge Stream Processing;deep Learning Rule for Efficient Changepoint Detection in the Presence of Non-Linear Trends;time Series Pattern Discovery by Deep Learning and Graph Mining;a Conceptual Model for Mitigation of Root Causes of Uncertainty in Cyber-Physical Systems;integrating Gene Ontology Based Grouping and Ranking into the Machine Learning Algorithm for Gene Expression data Analysis;SVM-RCE-R-OPT: Optimization of Scoring Function for SVM-RCE-R;short-Term Renewable Energy Forecasting in Greece Using Prophet Decomposition and Tree-Based Ensembles;a Comparative Study of Deep Learning Approaches for Day-Ahead Load Forecasting of an Electric Car Fleet;Security-Based Safety Hazard Analysis Using FMEA: A DAM Case Study;Privacy Preserving Machine Learning for Malicious URL Detection;remote Attestation of Bare-Metal Microprocessor software: A Formally Verified Security Monitor;Provenance and Privacy in ProSA: A Guided Interview on Privacy-Aware Provenance;placeholder Constraint Evaluation in Simulation Graphs;Walk Extraction Strategies for Node Embeddings with rdF2Vec in Knowledge Graphs;bridging Semantic Web and Machine Learning: First Results of a Systematic Mapping Study.

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A Multi-source Trajectory data Preprocessing Method and Implementation for Aircraft Track Fusion 24

A Multi-source Trajectory Data Preprocessing Method and Impl...

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3rd international conference on Signal Processing, Computer Networks and Communications, SPCNC 2024

作者： Zhou, Bo Chen, Yun Li, Jiayuan COMAC Flight Test Center Commercial Aircraft Corporation of China. Ltd. Shanghai Shanghai China

ISBN: (纸本)9798400710834

Currently, the trajectory data utilized for civilian flight operation surveillance is classified into various types, such as primary radar data, secondary radar data, ADS-B data, Beidou positioning data, etc. The fusion processing of trajectory data from multiple different sources and its application in flight surveillance have emerged as a trend. Nevertheless, distinct data possess diverse parsing methods, thereby demanding preprocessing of these data. Moreover, to fulfill engineering applications, the implementation of high-speed parallel processing of large volumes of data during the preprocessing stage is necessary. This paper offers a data preprocessing software design solution for multi-source trajectory fusion for the reference of relevant technicians. This approach leans towards the rapid preprocessing of data during engineering applications to better accomplish multi-source trajectory fusion. © 2024 Copyright held by the owner/author(s).

关键词： Manned space flight

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Deploying and Managing Web Application using Kubernetes 3

Deploying and Managing Web Application using Kubernetes

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3rd international conference on Intelligent data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Dhanwai, Aditya Bhagwat, Shivam Supekar, Kunal Deshmukh, Saurabh More, Amar School of Computer Engineering MIT Academy of Engineering Alandi Pune India

ISBN: (纸本)9798331527549

This project examines the deployment and management of web applications using Kubernetes, an open-source container orchestration platform. It provides an analysis of the core features of Kubernetes, including pods, services, and deployments, to simplify and optimize the deployment process of web-based systems. The study investigates various deployment strategies, such as rolling updates, to showcase Kubernetes’ adaptability and efficiency in maintaining continuous service availability during updates. By providing practical insights and guidelines, this project offers a comprehensive understanding of Kubernetes and its transformative potential in web application management. The findings are particularly valuable for developers, IT professionals, and anyone involved in the complex process of web application deployment. © 2025 IEEE.

关键词： Open source software

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Leveraging Sequential Deep Learning Models for Robust Compiler Bug Detection in software Logs 3

Leveraging Sequential Deep Learning Models for Robust Compil...

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3rd international conference on Intelligent data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Mishra, Sahil Tiwari, Utkarsh Kavitha, C.R. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

Compiler bugs critically impact the correctness of software applications, making their detection and resolution vital for improving software quality. This paper proposes a novel approach leveraging sequential deep learning models, including Long short-term memory, Gated recurrent unit, Recurrent neural network, and a stacked ensemble model, to enhance compiler bug identification. By combining the strengths of these architectures, the proposed method improves predictive accuracy and generalization. To ensure model interpretability, we employ LIME (Local Interpretable Model-agnostic Explanations) to identify the features influencing bug detection decisions. Experimental results demonstrate that the stacked ensemble outperforms individual models in terms of precision, recall, F1-score, and ROC-AUC. This work advances the state of compiler log analysis and contributes significantly to software quality assurance by integrating robust deep learning techniques with explainable AI. © 2025 IEEE.

关键词： Application programs

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A Comprehensive Study on Optimization Algorithms for Controller Placement in software-Defined Networking 3

A Comprehensive Study on Optimization Algorithms for Control...

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3rd international conference on Intelligent data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Kolli, Maheswari Prabu, U. Karre, Meenakshi Geetha, V. Department of CSE Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada India Department of Information Technology Puducherry Technological University Puducherry India

ISBN: (纸本)9798331527549

In today’s context, the use of the Internet has significantly increased, and new technologies keep evolving. Traditional networks are struggling to keep up with the growing demand. The advent of software Defined Networking (SDN) has become essential in data centers and also large scale area networks, playing a pivotal role in modern network architectures. SDN is characterized by its separation of the logically centralized design, along with the control plane and data planes. In SDN, the controller is a critical component that ensures smooth operations and consistent behavior across network. Determining optimal placement, quantity of controllers is vital for enhancing network performance. Identifying the best locations and the most efficient number of controllers is crucial to achieving seamless and resilient network operations. This study explores various advanced techniques for controller placement, focusing on minimizing latency. It emphasizes the development of optimization strategies that dynamically adapt to network conditions and traffic demands, presenting an approach to improving SDN controller placement. © 2025 IEEE.

关键词： Average Latency Controller Placement Problem software Defined Networks

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