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检索条件"任意字段=Proceedings of the 5th International Conference on Algorithms, Computing and Systems"

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5th international conference on Advanced Machine Learning Technologies and Applications, AMLTA 2020

5th International Conference on Advanced Machine Learning Te...

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5th international conference on Advanced Machine Learning Technologies and Applications, AMLTA 2020

ISBN: (纸本)9789811533822

the proceedings contain 67 papers. the special focus in this conference is on Advanced Machine Learning Technologies and Applications. the topics include: Lightweight access control algorithm for internet of things;named-entity recognition for legal documents;visual speech processing and recognition;predictive analytics for cardiovascular disease diagnosis using machine learning techniques;a novel approach for smart-healthcare recommender system;heart disorder prognosis employing knn, ann, id3 and svm;iot-based home security system with wireless communication;implementing internet of things in small businesses of bahrain;the adopting knowledge management proves vital for bahrain’s governmental sector;a comparative study of model-free reinforcement learning approaches;location-aware security system for smart cities using iot;an assessment study of gait biometric recognition using machine learning;a study on risk management practices in online banking in bahrain;deep learning techniques: an overview;a multilayer deep learning framework for auto-content tagging;case-based reasoning (cbr)-based anemia severity detection system (asds) using machine learning algorithm;ecg signal analysis, diagnosis and transmission;the effect of real-time feedback on consumer’s behavior in the energy management sector: empirical study;synchronization control in fractional discrete-time systems with chaotic hidden attractors;video surveillance for the crime detection using features;employment of cryptographic modus operandi based on trigonometric algorithm and resistor color code;experimental and dimensional analysis approach for human energy required in wood chipping process;impact of high-k gate dielectric and work functions variation on electrical characteristics of vesfet;correlating personality traits to different aspects of facebook usage;fractional-order control of a fuel cell–boost converter system.

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Reinforcement Learning-Based Genetic Algorithm for Differentiated Traffic Scheduling in Industrial TSN-5G Networks 20

Reinforcement Learning-Based Genetic Algorithm for Different...

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20th IEEE international Wireless Communications and Mobile computing (IEEE IWCMC) - Green and Intelligent Communications

作者： Guo, Jiawen Yao, Haipeng He, Wenji Mai, Tianle Ouyang, Tianhao Wang, Fu Beijing Univ Posts & Telecommun State Key Lab Networking & Switching Technol Beijing Peoples R China Beijing Inst Technol Sch Informat & Elect Beijing Peoples R China

ISBN: (纸本)9798350361261;9798350361278

In order to ensure reliable transmission of important traffic in industrial networks, time-sensitive network (TSN) technology and fifth-generation mobile communication technology (5G) are introduced into the industrial network. However, there are still challenges in integrating TSN networks with 5G networks, especially in terms of end-to-end scheduling in hybrid systems. Considering the diverse range of traffic types and their end-to-end transmission requirements within the industrial Internet, we propose a differentiated traffic scheduling model and develop a population generation algorithm, termed Genetic Algorithm (GA) based two-stage population generation algorithm (PTPG). Notably, the algorithm utilizes a non-target training approach to generate the initial population and integrate Proximal Policy Optimization (PPO) to improve algorithm convergence and facilitate the inheritance of advantages across generations. the simulation results demonstrate notable enhancements in end-to-end delay, the number of occupied queues, and algorithm convergence status compared to other algorithms.

关键词： 5G mobile communication systems

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Study of 5G NR Network Against Mixed Traffic 17

Study of 5G NR Network Against Mixed Traffic

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17th international conference on COMmunication systems and NETworkS, COMSNETS 2025

作者： Naik, Chinmay Patil, Shrirang Mali, Mohan Kumbhar, Satish Patil, Sachin COEP Technological University Department of CSE Pune India Indian Institute of Information Technology Department of CSE Surat India

ISBN: (纸本)9798331531195

5th Generation Mobile Technology (5G) is said to be the future of wireless cellular technology. It was introduced to handle the heavy traffic demand and to provide low latency and high throughput performance. Although it provides better data performance than existing LTE networks, it has a few limitations that restrict its performance. this study evaluates one of the major limitation of 5G called the bufferbloat problem. Bufferbloating occurs when a network has high-speed capabilities yet the end user experiences a significant latency due to many other users sharing the same network, clogging up the buffers. Typically, Active Queue Management (AQM) algorithms have been well known as a potential solution to the issue of Bufferbloat. It evaluates the performance of various AQM algorithms like CoDel, FQ-CoDel, COBALT, PIE, and FQ-PIE in a 5G New Radio network scenario based on RFC 7928. It concludes that Flow Queuing (FQ) AQM algorithms significantly improve the 5G network performance. © 2025 IEEE.

关键词： 5G mobile communication systems

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16th international conference on Parallel computing Technologies, PaCT 2021

16th International Conference on Parallel Computing Technolo...

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16th international conference on Parallel computing Technologies, PaCT 2021

ISBN: (纸本)9783030863586

the proceedings contain 36 papers. the special focus in this conference is on Parallel computing Technologies. the topics include: High-Efficiency Specialized Support for Dense Linear Algebra Arithmetic in LuNA System;efficient Cluster Parallelization Technology for Aerothermodynamics Problems;computational Aspects of Solving Grid Equations in Heterogeneous computing systems;optimized Hybrid Execution of Dense Matrix-Matrix Multiplication on Clusters of Heterogeneous Multicore and Many-Core Platforms;Parallelization of Robust Multigrid Technique Using OpenMP Technology;Network Reliability Calculation with Use of GPUs;implicit Data Layout Optimization for Portable Parallel Programming in C++;On Defragmentation algorithms for GPU-Native Octree-Based AMR Grids;zipped Data Structure for Adaptive Mesh Refinement;A New Model-Based Approach to Performance Comparison of MPI Collective algorithms;automatic Parallel Tiled Code Generation Based on Dependence Approximation;Scalability Issues in FFT Computation;High Performance Implementation of Boris Particle Pusher on DPC++. A First Look at oneAPI;Evaluating the Performance of Kunpeng 920 Processors on Modern HPC Applications;optimization of Resources Allocation in High Performance Distributed computing with Utilization Uncertainty;influence of Execution Time Forecast Accuracy on the Efficiency of Scheduling Jobs in a Distributed Network of Supercomputers;Performance Estimation of a BOINC-Based Desktop Grid for Large-Scale Molecular Docking;consensus-Free Ledgers When Operations of Distinct Processes are Commutative;design and Implementation of Highly Scalable Quantifiable Data Structures;optimal Concurrency for List-Based Sets;Deterministic OpenMP and the LBP Parallelizing Manycore Processor;mobile Agents Operating on a Grid: Some Non-conventional Issues in Parallel computing;parallel Computations in Integrated Environment of Engineering Modeling and Global Optimization.

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Review of Data Security Methods using Low-Earth Orbiters for High-Speed Encryption 4

Review of Data Security Methods using Low-Earth Orbiters for...

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4th international conference on Ubiquitous computing and Intelligent Information systems, ICUIS 2024

作者： Bakyt, Makhabbat Spada, Luigi La Moldamurat, Khuralay Kadirbek, Zhanserik Yermekov, Farabi L.N. Gumilyov Eurasian National University Department of Information Security Astana Kazakhstan School of Computing Engineering and the Built Environment Edinburgh Napier University 10 Colinton Road EdinburghEH10 5DT United Kingdom L.N. Gumilyov Eurasian National University Department of Space Engineering and Technology Astana Kazakhstan Radio broadcasting complex Llp 'KazMedia ortalygy' Astana Kazakhstan Scientific and Educational Technological Platform of the Kazakh National Agrarian Research University Astana Kazakhstan

ISBN: (纸本)9798331529635

this paper presents an overview of state-of-the-art data security techniques using low-orbit satellites (LOS) such as CubeSats for high-speed encryption. the paper compares various encryption techniques including quantum key distribution (QKD), chaotic mapping-based encryption algorithms, and genetic algorithm and random feature methods. Particular attention is paid to both the advantages and limitations of each approach and their potential applicability to LEO. the key challenges associated with the development and implementation of high-speed encryption on LEO are identified, such as limited resources, power requirements, and the need to ensure reliability in the space environment. Finally, future research directions are suggested, including the development of specialized encryption algorithms, optimization of hardware implementation, and integration of different techniques to achieve maximum efficiency and security. © 2024 IEEE.

关键词： Quantum cryptography

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Performance Analysis of Metamaterial-Based Designs for 5G and Beyond Communication systems 5

Performance Analysis of Metamaterial-Based Designs for 5G an...

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5th IEEE international conference on Communication, computing and Industry 6.0, C2I6 2024

作者： Chuku, Peter N. Olwal, thomas O. Lysko, Albert A. Tshwane University of Technology Department of Electrical Engineering Pretoria South Africa Council for Scientific and Industrial Research NextGen Enterprises and Institutions Pretoria South Africa

ISBN: (纸本)9798350379884

this study presents a performance analysis of a compact patch antenna that utilizes metamaterial (MTM) design techniques. the study also analyses the return loss parameters of the patch antenna to demonstrate improved antenna performance. the miniaturization of patch antennas is achieved by utilizing an MTM-based technique. Patch antennas are predominant in wireless communication systems but tend to occupy a lot of space. this technique requires combining MTM-inspired elements such as split-ring resonators (SRRs), fractal structures, or loaded inductive loops into the structure of the patch antenna. these elements are fabricated sensitively to communicate with the electromagnetic (EM) waves to decrease the antenna's size whilst preserving its performance attributes. the proposed MTM-based technique promises several advantages, such as compact antenna designs, enhanced efficiency, radiation pattern characteristics, and bandwidth. In summary, the size miniaturization of patch antennas utilizing the MTM-based approach investigates the combination of metamaterial structures in the design of patch antennas. the technique seeks to achieve miniaturization while maintaining good antenna performance. Furthermore, this approach holds significant prospects for enabling the deployment of compact, efficient, and high-performance antennas in various wireless communication applications. © 2024 IEEE.

关键词： Slot antennas

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thE ROLE OF INTELLECTUAL PROPERTY IN DRIVING BUSINESS SUCCESS FOR PROPTECH COMPANIES IN thE 4th AND 5th INDUSTRIAL REVOLUTIONS 18

THE ROLE OF INTELLECTUAL PROPERTY IN DRIVING BUSINESS SUCCES...

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18th international conferences IADIS Information systems 2025 and 23rd international conference on e-Society 2025

作者： Ribičić, Marijana DOBA Business School Prešernova 1 Maribor2000 Slovenia

ISBN: (纸本)9789898704658

this paper, part of a doctoral dissertation, explores the role of intellectual property (IP) in the Property Technology (PropTech) sector. It examines the business success of companies applying technological innovations in an increasingly digital society. PropTech companies are key innovators, creating smart solutions and advancing technologies. the aim of this research is to encourage PropTech companies to achieve greater business success and drive the development of new technological solutions, aligning with the focus of conferences such as business management and e-Society. through the analysis of 5,535 PropTech companies to investigate the link between IP and business success, a categorization of over 250 companies, and 10 case study interviews, this research assesses the economic and strategic implications of IP in enhancing competitiveness and fostering technological development. the paper offers insights into the impact of IP on sector-specific innovations, highlighting potential pathways for industry growth and sustainability. © 2025 proceedings of the international conferences IADIS Information systems 2025 and e-Society 2025. All rights reserved.

关键词： Augmented Reality Digital Transformation Intellectual Property Internet of things Property Technology Smart Cities

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5th Doctoral Symposium on Computational Intelligence, DoSCI 2024

5th Doctoral Symposium on Computational Intelligence, DoSCI ...

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5th Doctoral Symposium on Computational Intelligence, DoSCI 2024

ISBN: (纸本)9789819771776

the proceedings contain 47 papers. the special focus in this conference is on Computational Intelligence. the topics include: Integrative Deep Learning for Diabetic Retinopathy and Glaucoma Detection in Ocular Images;toxicity Detection and Classification in Arabic Text;neuroCogNet: Advanced Computational Intelligence for Neurological Diagnosis;machine Learning-Based Comprehensive Framework for Stock Prediction;mild Cognitive Impairment Conversion Prediction;modeling Scalable Lab Environment for Academia through Kubernetes Cluster;enhancing Suspect Identification: Automated Composite Sketch Generation and Recognition;human Activity Recognition Using Federated Transfer Learning;a Critical Assessment of Task Scheduling algorithms in Cloud computing: A Comparative Approach;enhancing Sarcasm Detection Using Deep Learning;From Bugs to Hugs: Decoding LLMs Tools and Extensions for Constrained Coding;EnviroWatch: A Comprehensive Environmental Monitoring Web Frame and Cleanup Coordination System Using CNN;multi-level Security threats Projection in Edge computing;a Comparative Analysis of Deep Learning Models for Wildlife Prediction;A BERT-BiLSTM Approach for Socio-political News Detection;yolov8-Based Early Detection Model for Lame Broilers;enhancing the Diagnosis of Liver Disease: Combining Machine Learning with the Indian Liver Patient Dataset;navigating Cloud Security: Developing Privacy-Aware Architectures for Service Industry Data Protection;stability of Accumulation of Granular Columns Based on Chaos Optimization Algorithm;a Comparative Study of Computational algorithms for Finding Motif in the Genome of Viruses;quantum computing Error Mitigation Advance in Real-Time Quantum Computer with Novel Quantum Using Superposition and Entanglement of Qubits;Sound Secret Audio Crypt—LSB-Based Audio Steganography Using RSA;DAMPSO: Dynamic Accelerated Memory-Based PSO for Hyperparameter Tuning of Plant Disease Classifiers;startup Success Prediction Using Machine Learning;OncoScan3D

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Real-time Resource Management Mechanism for Mobile IoT Devices in 5G-enabled Edge computing 13

Real-time Resource Management Mechanism for Mobile IoT Devic...

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13th international conference on Computer Technologies and Development, TechDev 2024

作者： Alqahtani, Abdullah M. Jazan University Collage of Engineering and Computer Science Department of Electrical and Electronic Engineering Saudi Arabia

ISBN: (纸本)9798331539771

the time-sensitive Internet of things (IoT) applications within 5G and edge computing environments presents unique challenges in network resource management. Current systems struggle with efficiently managing the high-density and variable conditions typical in such mobile networks. this study aims to address these challenges by introducing the Federated Learning-Enhanced Resource Management System for Mobile IoT networks (FLERMS-IoT). the proposed FLERMS-IoT system incorporates a novel federated learning framework that incorporates localized data processing at the edge to reduce latency and bandwidth usage. It includes algorithms that adaptively manage computational and network resources. the core of the system is a dual-module approach that dynamically adjusts to network conditions, enhancing both stability and scalability. Empirical evaluations demonstrate significant enhancements in resource utilization efficiency, with FLERMS-IoT achieving 90% in high-density scenarios and 85% in variable network conditions in comparison with 5GTFF, JCSR, and SKUNK. © 2024 IEEE.

关键词： Mobile edge computing

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5G and IoT Cloud Integration for Enhancing Connectivity and Data Management 5

5G and IoT Cloud Integration for Enhancing Connectivity and ...

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5th international conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2024

作者： Paladugu, Abhigna Manikanta Merugu, Raja Vikram Gangavarapu, Sai Gopal Krishna Meka, Leela Vamsi Krishna Kavitha, S. Kavitha, M. Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Greenfields Vaddeswaram Guntur Guntur522302 India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhra Pradesh Guntur522302 India

ISBN: (纸本)9798350385649

this research analyzed the result of super-fast 5G networks on the IoT and explores how the cloud can enhance the performance and execution of smart devices in conjunction with 5G. the arrival of 5G, akin to a next-level internet, enables rapid and low-latency communication between sensors and smart devices. Leveraging the cloud, which serves as a vast computing resource on the internet, can further optimize the capabilities of these smart devices in a 5G environment. the incorporation of 5th Generation and the cloud offers several significant outcomes. Firstly, it enhances connectivity by facilitating seamless and real-time data exchange among smart devices, enabling efficient interactions and improving overall system performance. Secondly, the cloud provides additional computing capacity and storage capacity, enabling smart devices to offload processing tasks and handle large volumes of generated data effectively. this capability enhances operational efficiency, particularly in domains such as self-driving cars and manufacturing, where real-time decision-making and advanced automation are critical. Moreover, the cloud's scalability and flexibility empower smart devices to adapt dynamically to changing demands. this capability allows businesses and individuals to scale their computing resources as needed, eliminating the need for substantial infrastructure investments. Additionally, the research addresses concerns regarding data management and security. By exploring cloud-based data handling techniques, it ensures efficient data processing while safeguarding privacy and implementing robust security measures for the interconnected ecosystem. In conclusion, this research aims to establish a symbiotic relationship between smart devices, 5G networks, and the cloud. through this integration, it envisions a more connected and efficient IoT ecosystem, driving advancements in various industries, enhancing automation, and delivering an optimized user experience while uphold

关键词： 5G mobile communication systems

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