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proceedings - autonomicS 2008: 2nd international ICST conference on autonomic computing and communication systems

Proceedings - AUTONOMICS 2008: 2nd International ICST Confer...

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2nd international ICST conference on autonomic computing and communication systems, autonomicS 2008

ISBN: (纸本)9789639799349

The proceedings contain 17 papers. The topics discussed include: on modeling of self-organizing systems;dynamic QoS adaptation of inter-dependent task sets in cooperative embedded systems;emergent engineering for the management of complex situations;MWM: a map-based world model for wireless sensor networks;verification and semantic parallelization of goal-driven autonomous software;QoS-aware ant routing with colored pheromones in wireless mesh networks;self-organized supply chain networks: theory in practice and an analog simulation based approach;document-based network and system management: utilizing autonomic capabilities for enterprise management integration;a theoretical evaluation of peer-to-peer internal clock synchronization;and autonomic management via dynamic combinations of reusable strategies.

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communication and computing Integrated Architecture of 6G RAN and Collaboration Mechanism 24

Communication and Computing Integrated Architecture of 6G RA...

引用

2nd international conference on Electronics, Computers and communication Technology, CECCT 2024

作者： Xu, Furong Wang, Xinyi Cao, Lei Deng, Wei Jiang, Tianming Wang, Rui Hou, Qingdong Zhang, Long China Mobile Research Institute Beijing China

ISBN: (纸本)9798400710193

Regarding the evolution of 6G networks, traditional RAN will gradually evolve into communication and computing integrated network. The traditional communication functions of control plane and user plane adopt the"separate" design mode for base station and core network, which is incapable of communication and computing integrated RAN (Radio Access Network). Aiming at 6G communication and computing integrated RAN architecture, this paper proposes a master-slave base station architecture to adapt to the deep integration of communication and computing. Based on this architecture, an"integrated" design scheme for the communication function of computing services is first proposed, realizing closed-loop control, transmission, and processing of computing data within RAN. At the same time, a new data plane interface and computing layer are introduced into the RAN interface and protocol for the first time to enable the identification and differentiated transmission guarantee of computing data. In response to challenges such as large-scale collaboration and large-scale data interaction brought about by future complex computing, a collaborative mechanism of integrated communication and computing is designed to meet the multiple-level collaboration demands for communication and computing integrated RAN. © 2024 Copyright held by the owner/author(s).

关键词： Base stations

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Efficient Multi-party Private Set Intersection with Constant communication Rounds 24

Efficient Multi-party Private Set Intersection with Constant...

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2nd international conference on Artificial Intelligence, systems and Network Security, AISNS 2024

作者： Lv, Zehui Shen, Jiachen Cao, Zhenfu Dong, Xiaolei Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China

ISBN: (纸本)9798400711237

This paper introduces a novel multi-party private set intersection (MPSI) protocol, enabling multiple parties to collaboratively compute the intersection of their input sets while ensuring no private information is disclosed. Our protocol mainly leverages efficient oblivious key-value store (OKVS) technique and symmetric-key operations, requiring only 3 rounds of interaction. We implement our protocol using various set sizes and numbers of parties, and the experimental results demonstrate that it surpasses the performance of existing state-of-the-art protocols. © 2024 Copyright held by the owner/author(s).

关键词： Oblivious Key-Value Store

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Deep learning based multiple regression analysis approach for designing medical image recognition system 2nd

Deep learning based multiple regression analysis approach fo...

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2nd international conference on Next-Generation computing and Information systems, ICNGCIS 2023

作者： Singh, Shweta Jagadish, A.N. Vyas, Bhuman Wasim Bhatt, Mohammed Sameen, Aws Zuhair Degadwala, Sheshang Electronics and Communication Department IES College of Technology Bhopal India Department of Computer Science Bapuji Institute of Engineering and Technology Karnataka Davanagere India Credit Acceptance Canton United States Model Institute of Engineering and Technology J&K Jammu India College of Medical Techniques Al-Farahidi University Baghdad Iraq Department of Computer Engineering Sigma University Gujarat Vadodara India

ISBN: (纸本)9781032738659

Machine learning models are optimization models that make it possible to gather data, evaluate it, and provide the experts and management with the reports they need to make the best decisions. This study uses quantitative research, as it seeks to gather information and analyse it with statistical models such as regression analysis and analysis of variance. Researchers want to use statistical techniques such as descriptive analysis, regression analysis, and ANOVA (analysis of variance) to analyse the hypothesis. The purposive sample technique is used by the authors to choose respondents who work in the healthcare sector. A non-probability sampling technique called purpose sampling is used. The R squared value is 0.744, or 74.4 percent, according to the analysis. According to the investigation, there is a strong correlation between improved picture quality and ML-based techniques in digital image recognition. © 2025 The Author(s).

关键词： Regression analysis

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Artificial Intelligence Enabled Cognitive computing for AlN/β-Ga2O3 HEMT 2

Artificial Intelligence Enabled Cognitive Computing for AlN/...

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2nd international conference on Computational Intelligence, communication Technology and Networking, CICTN 2025

作者： Verma, Yogesh Kumar Bhatia, Kamal Khushboo Bhanot, Aastha Roy, Trijeeta Sinha, Supriya Laksh School of Electronics and Electrical Engineering Lovely Professional University Jalandhar India School of Computer Science and Engineering Lovely Professional University Jalandhar India

ISBN: (纸本)9798331530389

HEMT devices have potential to handle the fast processing in applications such as real-time diagnostics utilizing the artificial-intelligence (AI) enhanced abilities. Along-with this HEMT devices can be extensively used in radar and defense systems to obtain faster response time and threat detection. This integration of AI and cognitive computing enables pattern-recognition and adaptive learning. The cognitive computing techniques integrated with HEMT enables the real-time analysis and predictions. For precise sensor data the amplification should be done at either no or very less noise levels. © 2025 IEEE.

关键词： Gallium compounds

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Artificial intelligence based Monte Carlo model for epidemic forecasting for societal aspect 2nd

Artificial intelligence based Monte Carlo model for epidemic...

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2nd international conference on Next-Generation computing and Information systems, ICNGCIS 2023

作者： Vijayakumar, M. Batla, Yana Soni, Mukesh Raparthi, Mohan Sameen, Aws Zuhair Degadwala, Sheshang Department of Computer Technology NANDHA Arts and Science College Erode India Department of Electronics and Communication UIET Chandigarh India Dr. D. Y. Patil Vidyapeeth Pune Dr. D. Y. Patil School of Science & Technology Tathawade Pune India Alphabet Life Science DallasTX United States College of Medical Techniques Al-Farahidi University Baghdad Iraq Department of Computer Engineering Sigma University Gujarat Vadodara India

ISBN: (纸本)9781032738659

After the domestic new crown pneumonia (COVID-19) epidemic has stabilized, the imported people and goods carrying the virus may lead to a slight rebound in the domestic epidemic. Using this model, the second epidemic situation in a city was simulated. The impact of the epidemic’s spatial spread and quantitative growth was analyzed using the closure and control measures at different spatial scales (community closure and control, district and county closure and control). The study results show that the first 3 to 5 days after the appearance of an infected person is the best time for containment and control. The effects of the two modes are similar, so they are suitable for dealing with the single-point burst mode. Combined with the analysis results, suggestions are made for formulating closure and control measures after the epidemic rebounds. © 2025 The Author(s).

关键词： Viruses

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Adaptive Resource Allocation Framework with Advanced Technologies for Enhanced 5G Mobile Network Performances 2

Adaptive Resource Allocation Framework with Advanced Technol...

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2nd international conference on Machine Learning and Autonomous systems, ICMLAS 2025

作者： Meghamala, Y. Paul, Pulipati John Kumar, Madam Aravind Dept of Electronics and communication Engineering Andhra Pradesh India Ellenki College of Engineering and Technology Telangana Patancheru India West Godavari Institute of Science and Engineering East Godavari District Andhra Pradesh Prakashraopalem India

ISBN: (纸本)9798331505745

The 5G networks are capable of executing a wide range of applications. Some of these applications are improved mobile broadband, massive Machine Type communications (mMTC), and ultra-reliable low-latency communication (URLLC). In order to satisfy these requirements adequately, resource management is essential. This work develops an approach of dynamic resource allocation with an emphasis on the use of cutting-edge technologies like edge computing, network slicing, AI, and ML for 5G enhancement. The system ensures dynamic resource allocation strategies which are aimed at reducing the service latency, conserving energy and improving the throughput of the system. This is done by leveraging user requests, real-time traffic patterns, and service quality indicators. The reduction in end-to-end latency of 25%, a 30% increase in energy efficiency and improved diversity of resource application are some of the quantitative improvements on QoS metrics that were achieved. Through simulations, the benefits were demonstrated. The results of this study suggest that the growing complexity of today's communication networks could be addressed by processes that are adaptive to the dynamics of advanced technologies. © 2025 IEEE.

关键词： Resource allocation

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Cloud computing in Enhancing the Efficiency and Integration of Alternative Energy systems 2

Cloud Computing in Enhancing the Efficiency and Integration ...

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2nd international conference on Computational Intelligence, communication Technology and Networking, CICTN 2025

作者： Sahoo, Amiya Kumar Prusty, Sucharita Jayasingh, Suvendra Kumar Swain, Asish Kumar Mohanta, Hemanta Kumar Aryan Institute of Engineering and Technology Odisha Bhubaneswar India Institute of Management and Information Technology BPUT Odisha Cuttack India

ISBN: (纸本)9798331530389

In response to growing environmental concerns and the need for sustainable development, alternative energy systems have emerged as crucial solutions to the problems associated with fossil fuels. This research focuses on the significant role cloud computing plays in improving the efficiency and integration of various alternative energy systems such as solar, wind, hydropower, biomass, geothermal, and tidal/wave energy. The study explores how cloud computing technologies enable real-time data processing, storage, and analysis of the large datasets generated by these renewable energy sources, thus optimizing their performance and integration into the energy grid. Cloud computing provides advanced data management tools that are vital for managing the variable and intermittent nature of renewable energy production. By utilizing cloud-based platforms, energy producers can achieve improved forecasting, load balancing, and energy distribution, which are essential for enhancing efficiency and reliability. Additionally, this research highlights how cloud computing fosters collaboration and innovation by offering a scalable and flexible infrastructure. This infrastructure supports the development of new technologies and applications within the renewable energy sector, promoting continuous advancements and breakthroughs. This research underscores the crucial role of cloud computing in advancing a sustainable energy future. © 2025 IEEE.

关键词： Cloud platforms

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Data, Information and computing Science - proceedings of the 2nd international conference, CDICS 2024

Data, Information and Computing Science - Proceedings of the...

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2nd international conference on Data, Information and computing Science, CDICS 2024

ISBN: (纸本)9781643685762

The proceedings contain 10 papers. The topics discussed include: comparative analysis of deep learning methods for automated diagnosis of pulmonary diseases from chest X-ray images: a study based on ICD-10;deep residual learning for fruits of ceremonial plants recognition;PiVisionSort: integrating image processing and machine learning for material recognition on conveyor belts;intelligent detection of potholes using SSD algorithm and auto-alert notification system for user;the use of motion and gaze features to detect speaking intention in VR-mediated communication environments;optimized retinal vessel segmentation using IS-Net and high-resolution dataset;a framework for adopting machine learning in the clinical domain;and a study on a domain BERT-based named entity recognition method for faulty text.

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Fuzzy Logic and Fog computing in Electronic Health Records Data Privacy: A Comprehensive Review 2

Fuzzy Logic and Fog Computing in Electronic Health Records D...

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2nd international conference on Computational Intelligence, communication Technology and Networking, CICTN 2025

作者： Mohan, Devendra Singh Bansal, Varun Kumar, Anil Shobhit University Gangoh Saharanpur India Shobhit University Gangoh Saharanpur India GCET Gautam Buddha Nagar India

ISBN: (纸本)9798331530389

The potential to improve healthcare services has drawn attention to the use of fuzzy logic and fog computing into electronic health records (EHRs). This study offers a thorough analysis of the research on Fog computing (FC) enabled Fuzzy Logic c-based EHR systems. While fog computing allows for real-time data processing and decentralized storage near end users, fuzzy logic provides a reliable method for handling ambiguities in patient data, diagnoses, and decision-making. When combined, these technologies enhance data security, scalability, and system responsiveness. This research paper includes major approaches, architectures and important applications such as in cloud computing fog-based solutions reduces bandwidth and latency related issues with the help of fuzzy logic how clinical decision support system improves. In this study we list the future research possibilities to address these type problems and also explains obstacles such as complexity of computing, interoperability and privacy of data. These type of study assists academics and practitioners to creating effective, intelligent and safe EHRs' system. In this research paper privacy preservation of EHRs addressed by integration of fuzzy logic with fog computing. © 2025 IEEE.

关键词： Electronic health record

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