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检索条件"任意字段=Conference on Intelligent Computing - Theory and Applications IV"

共 2088 条记录，以下是1-10 订阅

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12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

12th International Conference on Frontiers of Intelligent Co...

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12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

ISBN: (纸本)9789819601387

The proceedings contain 49 papers. The special focus in this conference is on Frontiers of intelligent computing: theory and applications. The topics include: Nepali Word Spelling Correction Using Ensemble Learning Technique;the Impact of Information Security Policies and Innovations in Digital Technology on the Transformation of Healthcare in Developing Nations: A Literature Review;integrating Multi-omics and Clinical Narratives for Predictive Modeling: Genomics, Transcriptomics, Proteomics, and Medical Texts in Disease Analysis;a Comprehensive Survey of Fake Review Detection Technology;a Hybrid intelligent Decision Support System for Automating Financial Credit Evaluation;Advancing Taxation in the New Era: Enhancing Tax Ratios with the Core Tax Administration System (CTAS);Enabling Grid Stability: Harnessing μPMU Data for Data-Driven Analysis of Grid Frequency Events;machine Learning Techniques to Detect Fake News on Social Media: A Systematic Review;cutting-Edge Technology-Based Social Enterprises in India for Sustainable, Inclusive Healthcare;enhancing Telugu Sarcasm Classification Models with Word Embeddings in Imbalanced Datasets;capital Punishment: Analyzing Trends in the United States (1976–2016);exploring the Technostress Issue Among Indonesian Young Entrepreneurs;Teaching Computer Science Using Cloud-Based IDE with Perspectives in Inclusivity;Comparison of Data Encryption Standard (DES) and Advanced Encryption Standard (AES) in Security Issues of Cloud computing: A Literature Review;enhancing Corporate and Factory Training Through Game Development: A Comparative Review;usability of intelligent System in Implementing Tutoring Lesson in Education: A Literature Review;performance Efficiency of Cloud computing—A Literature Review;decentralized Finance (DeFi) Wallets: A Review of its Efficiency, Usability, and Effectiveness;Social Networks on WEB 3.0.

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12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

12th International Conference on Frontiers of Intelligent Co...

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12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

ISBN: (纸本)9789819601462

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12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

12th International Conference on Frontiers of Intelligent Co...

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12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

ISBN: (纸本)9789819601424

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IoT-Based Service Allocation in Edge computing Using Game theory 21st

IoT-Based Service Allocation in Edge Computing Using Game Th...

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21st International conference on Distributed computing and intelligent Technology

作者： Agrawal, Kushagra Goktas, Polat Sahaol, Biswajit Swain, Sujata Bandyopadhyay, Anjan KIT Deemed Be Univ Sch Comp Engn Bhubaneswar India Univ Coll Dublin Sch Comp Sci Dublin Ireland

ISBN: (纸本)9783031814037;9783031814044

The rapid growth of the Internet of Things (IoT) has created a pressing need for efficient service allocation methods to manage the multitude of connected devices. Edge computing has become essential to fulfill the low-latency and high-bandwidth demands of IoT applications. This paper investigates the use of game theory as a framework for optimizing service allocation in edge computing environments. By treating the interactions between IoT devices and edge servers as a strategic game, we propose strategies to achieve optimal allocation and resource utilization. Our approach tackles key challenges such as minimizing latency, improving energy efficiency, and balancing load. Experimental results indicate that game-theoretic methods greatly improve the performance and scalability of IoT systems in edge computing, positioning them a promising solution for future applications.

关键词： Edge computing Internet of Things (IoT) Game theory

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Optimal Coordinated Control for Wing Deformation and Flight State of Morphing Aircraft via Differential Game 17th

Optimal Coordinated Control for Wing Deformation and Flight ...

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17th International conference on intelligent Robotics and applications

作者： Wang, Feng Wang, Jun-Wei Univ Sci & Technol Beijing Beijing 100083 Peoples R China

ISBN: (纸本)9789819607976;9789819607983

In this paper, an optimal coordinated control strategy of wing deformation and flight state is proposed for morphing aircraft in the framework of differential game theory. Firstly, an approximate linear model at the equilibrium point is obtained from the nonlinear longitudinal motion model of morphing aircraft by Jacobian linearization method. Secondly, on the basis of the approximate linear motion model, appropriate optimization performance indexes are constructed in the non-cooperative differential game framework, and then the optimal control design problem of wing deformation and flight state is formulated as the solution of coupled algebraic Riccati equations, which can be approximately obtained by cross iteration algorithm. Moreover, we also apply Lyapunov stability theory to strictly analyze the closed-loop stability of nonlinear er ror systems. Finally, numerical simulation results for both variable-wing-span aircraft and variable-wing-thickness one are presented to support the effectiveness and merit of the proposed differential game control strategy.

关键词： Morphing aircraft Jacobian linearization differential game control coupled Riccati equation Lyapunov stability theory

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21st International conference on Distributed computing and intelligent Technology, ICDCIT 2025

21st International Conference on Distributed Computing and I...

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21st International conference on Distributed computing and intelligent Technology, ICDCIT 2025

ISBN: (纸本)9783031814037

The proceedings contain 21 papers. The special focus in this conference is on Distributed computing and intelligent Technology. The topics include: Invited Paper: Application of Physics-Based and Data-Driven Approaches for Drug-Like Property Prediction;invited Paper: Distributed Computability: A Few Results Masters Students Should Know;ioT-Based Service Allocation in Edge computing Using Game theory;Exploring Hidden Behaviors in OpenMP Multi-threaded applications for Anomaly Detection in HPC Environments;a "Symbolic" Representation of Object-Nets;optimal Dispersion in Triangular Grids: Achieving Efficiency Without Prior Knowledge;mobile Agents on Chordal Graphs: Maximum Independent Set and Beyond;faster Leader Election and Its applications for Mobile Agents with Parameter Advice;a Novel Protocol for Mitigating Wormhole Attack in Multi-hop Payment Channels;unleashing Multicore Strength for Efficient Execution of Blockchain Transactions;Enhancing QR Decomposition: A GPU-Based Approach to Parallelizing the Householder Algorithm with CUDA Streams;source Sets in Temporal Graphs;team Formation Based on the Degree Distribution of the Social Networks;inVideo Search: Scene Description Clustering and Integrating Image and Audio Captioning for Enhanced Video Search;does Data Balancing Impact Stutter Detection and Classification?;deep Learning-Driven Person Re-identification: Leveraging Color Space Transformations;an Ensembled Parking Space Classifier Across Diverse Weather Conditions;classification of Impacted Teeth from Panoramic Radiography Using Deep Learning;HJCFL: Hashcash and Jaya-Based Communication Efficient Federated Learning.

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5th International conference on Advances in Information Communication Technology and computing, AICTC 2024

5th International Conference on Advances in Information Comm...

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5th International conference on Advances in Information Communication Technology and computing, AICTC 2024

ISBN: (纸本)9789819761050

The proceedings contain 86 papers. The special focus in this conference is on Advances in Information Communication Technology and computing. The topics include: Universal Representation theory—Rigour II;revolutionizing Smart Cities: A Data-Driven Traffic Monitoring System for Real-Time Traffic Density Estimation and Visualization;Assessing the Influence of Self-service Technology on WOM: The Role of Customer Satisfaction;Universal Representation theory—applications II;enhancing Performance of Machine Learning Models in Healthcare: An Analytical Framework for Assessing and Improving Data Quality;evaluating the Enhancement of Cognitive Skills and Acquisition of New Skills in an Environment of Different Video Game Genres;hySeg-Net: A Robust Interactive Hybrid Technique for Image Segmentation and Classification in Hand Gesture Recognition;web Vulnerability Scanner;digitalization of Educational Resources in Pre-tertiary Education in Ghana: Assessing Impact, Challenges, and Opportunities in Enhancing Learning Outcomes;interconnected Through Robotic System in English Foreign Language Education;transferability Cybersocialization as a Digital Civility Through Artificial Intelligence-Based Design Thinking Mindset to Modern Pedagogy;fog computing in Healthcare: Enhancing Recommendations and Real-Time Monitoring;enhancing Bank Consumer Retention: A Comprehensive Analysis of Churn Prediction Using Machine-Learning and Deep Learning Techniques;a Contemporary Model of Kazakh National Pedagogy in the Era of Technology: theory-Based Design Framework;the Future of Post-harvest Logistics: The Cold Chain Practices with Blockchain, IoT, and FinTech;diagnosing Sexually Transmitted Disease in Females: Leveraging Dimensionality Reduction and Machine Learning;a Systematic Review of Optimal Task Scheduling Methods Using Machine Learning in Cloud computing Environments;intelligent Urban Futures: Exploring AI and Machine Learning applications in Smart Cities.

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Malware Detection and Analysis in Android applications with Mobile Security Framework (MobSF) Using a Permission-Based Approach 12th

Malware Detection and Analysis in Android Applications with ...

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12th International conference on Frontiers of intelligent computing: theory and applications, FICTA 2024

作者： Kizito, Mark Homayounvala, Elaheh Kazemian, Hassan Araujo, Istteffanny Intelligent Systems Research Group School of Computing and Digital Media London Metropolitan University 166-220 Holloway Rd LondonN7 8DB United Kingdom

ISBN: (纸本)9789819601424

This paper examines security concerns in Android applications arising from violations to the principle of least privilege. Using mobile security framework (MobSF), static and dynamic analysis techniques were used in evaluating how non-essential permission groups that are not core to application functions greatly increase risks of unauthorized system access by attackers, data breaches and privacy concerns, enlarged attack surfaces, and hijacking system resources among others. A permission-based approach systematically identifies malware and highlights dangerous permission groups that magnify security risks. The findings of this research study emphasis on meticulous auditing of permissions to prevent security threats in Android applications and to safeguard user-sensitive data. The conducted experiments compared essential core permissions to non-essential ones regarding application functionality and overall system security. It was also noted that background permissions potentially pose a great deal of risk to security when granted without proper rationale as this increases attack surfaces within the application itself. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Android malware

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A Game theory-based Reverse Vickrey Auction for Dynamic Pricing in Edge computing 3

A Game Theory-based Reverse Vickrey Auction for Dynamic Pric...

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3rd International conference on intelligent Data Communication Technologies and Internet of Things, IDCIoT 2025

作者： Rasane, Atharva Tapale, Manisha Dept. Computer Science and Engineering KLE Technological University’s Dr. M. S. Sheshgiri College Belagavi India

ISBN: (纸本)9798331527549

Low-latency communication is critical for effectively functioning Internet of Things (IoT) systems, including applications in healthcare monitoring, industrial automation, and smart cities. However, the vast number of IoT Devices often overwhelms cloud providers, necessitating the adoption of edge computing to reduce latency and distribute computational load. This paper introduces a novel dynamic pricing mechanism for edge computing based on a reverse Vickrey auction, leveraging game theory to balance competitive pricing with profitability for Edge Servers. We develop utility functions for both IoT Devices and Edge Servers, optimizing the markup to maximize edge server utility while adhering to the budget constraints of IoT Devices. Simulations were conducted with 10 Edge Servers and 50 IoT Devices over 2,000 time units. Results show that the proposed mechanism significantly reduces wait times, with most tasks completed within 10-time units. Moreover, dynamic pricing increases Edge Server profits by up to 10 times in some instances compared to fixed markup approaches. Notably, one server’s total profit rose from 7,702 to 76,130 and another from 57,965 to 94,298, underscoring the enhanced profitability and utilization. These findings confirm that our reverse Vickrey auction strategy effectively balances low-latency demand with sustainable operational revenue for Edge Servers, offering a robust and scalable solution for edge-centric IoT environments. © 2025 IEEE.

关键词： Budget control

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DYTC:Dynamic Graph Triangle Counting on GPU 24

DYTC:Dynamic Graph Triangle Counting on GPU

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8th International conference on Algorithms, computing and Systems, ICACS 2024

作者： Wang, Zhuo Li, Zhixiong Tu, Jinxing Huang, Jianqiang Department of Computer Technology and Applications Qinghai University Xining China Intelligent Computing and Application Laboratory of Qinghai Province Qinghai University Xining China

ISBN: (纸本)9798400718304

Triangle counting is a critical problem in graph theory and network analysis, with widespread applications in social network analysis, network science, and bioinformatics. Dynamic graphs are extensively utilized in various domains and are prevalent in real-world scenarios. Over time, dynamic graphs necessitate frequent updates, where vertices and edges are inserted, deleted, or modified. However, existing dynamic graph analysis methods often focus solely on the data structure of dynamic graphs, neglecting the algorithms for dynamic graph processing. Current triangle counting methods are typically designed for static graphs and are not suited for continuously updated dynamic graphs. In this paper, we propose an incremental triangle counting algorithm tailored for dynamic graphs, which only requires recomputing the affected subgraph caused by updated edges, rather than the entire graph. Consequently, in comparison to the previous algorithm, our algorithm is capable of attaining a maximum speedup of . © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Graph algorithms

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