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检索条件"任意字段=Proceedings of the 7th International Conference on Algorithms, Computing and Systems"

共 3437 条记录，以下是731-740 订阅

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Real-time Multimedia Analytics for IoT Applications: Leveraging Machine Learning for Insights 7

Real-time Multimedia Analytics for IoT Applications: Leverag...

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7th international conference on Contemporary computing and Informatics, IC3I 2024

作者： Arabelli, Rajeshwarrao Sharma, Ashish Duggal, Sonia Begum, Shaik Salma Rabby, Dr Fazla Dhanraj, Joshuva Arockia Sr University School of Engineering Telanagana Warangal India Galgotias University UP Greater Noida India Manav Rachna International Institute of Research and Studies School of Computer Applications Haryana Faridabad India Presidency University India Stanford Institute of Managment and Technology Australia Lovely Professional University Research and Development Cell Jalandhar-Delhi Grand Trunk Road Punjab Phagwara144411 India

ISBN: (纸本)9798350350067

Real time multi-media analytics is currently high in trend in businesses as it is helping the companies to track the real time data and develop useful insights. the process of Real-time Multimedia Analytics includes collection analysis and also usage of the data in real time in order to make better informed decisions. the major aim of the study is to explore Real-time Multimedia Analytics for IoT Applications: Leveraging Machine Learning for Insights. Along with this, the study also focuses on Real-Time Multimedia Analytics. the coming together of the IoT and ML has been analysed in the research. Also, the classification process of the IoT data analytics has been analysed according to technological facilities. A complete exploration of the IoT Data Analytics and its uses has been discussed. the research has studied the aspects using the data collected from books and journals. the previous journals on similar topics have been analysed and studied to develop the findings of this research. the research followed the strategy of empirical research and thus a secondary data collection process has been used. In the findings, it has been found that real-time data analytics are of greater help for the business. It can be divided into two aspects which are prescriptive and predictive data analysis. these two processes place a higher value on current time reactions than described and diagnostic analysis. Also, the coming together of IoT and ML can result in better management, enhanced computing and communication success, and improved choice-making. IoT data modelling is widely used in various aspects of businesses like farming, intelligent automobiles and smart medical. Lastly, the challenges and future directions of IoT applications have been studied to improve the process. © 2024 IEEE.

关键词： Data Analytics

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proceedings of INDIS 2020: Innovating the Network for Data-Intensive Science, Held in conjunction with SC 2020: the international conference for High Performance computing, Networking, Storage and Analysis

Proceedings of INDIS 2020: Innovating the Network for Data-I...

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7th IEEE/ACM Innovating the Network for Data-Intensive Science, INDIS 2020

ISBN: (纸本)9781665404549

the proceedings contain 7 papers. the topics discussed include: a trial deployment of a reliable network-multicast application across Internet2;application aware software defined flows of workflow ensembles;computing bottleneck structures at scale for high-precision network performance analysis;using p4 and RDMA to collect telemetry data;ROBIN (Rucio/BigData express/SENSE): a next-generation high-performance data service platform;the NetSage measurement framework: design, development, and discoveries;an evaluation of Ethernet performance for scientific workloads;and computing bottleneck structures at scale for high-precision network performance analysis.

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Comparative analysis of deepfake detection methods using machine learning and deep learning

Comparative analysis of deepfake detection methods using mac...

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international conference on Circuit, Power and computing Technologies (ICCPCT)

作者： Poorva Agrawal Soham Pathak Shruti Potey Vaishnavi Dhengre Nitin Rakesh R. Parvathi Symbiosis Institute of Technology Nagpur Campus Symbiosis International (Deemed University) Pune India Dept. of Smart Computing School of Computer Science Enginnering and Information Systems (SCORE) VIT Vellore

ISBN: (数字)9798350372816

ISBN: (纸本)9798350372823

the paper examines the growing issue of deepfake technology, which uses cutting-edge machine learning to spoof face features in videos. this technology has the potential to be abused in a number of situations, including blackmail, political manipulation, and the staging of terrorist acts. the study’s main goal is to present a thorough summary of current studies that use cutting-edge deep learning techniques to identify fake information. the Deepfakes Detection Challenge (DFDC) dataset is introduced, neural network applications are covered, and the effectiveness of current deepfake detection models is assessed. Because deepfake applications potentially pose a hazard, the research emphasizes the need for tools that can automatically detect and evaluate the integrity of digital visual data. Additionally, it discusses numerous algorithms and approaches that have been put out in the literature for producing and identifying deepfakes, with a focus on deep learning-based methods.

关键词： Deep learning Deepfakes Visualization Accuracy Biological system modeling Computational modeling Terrorism

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2020 Joint 11th international conference on Soft computing and Intelligent systems and 21st international Symposium on Advanced Intelligent systems, SCIS-ISIS 2020

2020 Joint 11th International Conference on Soft Computing a...

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Joint 11th international conference on Soft computing and Intelligent systems and 21st international Symposium on Advanced Intelligent systems, SCIS-ISIS 2020

ISBN: (纸本)9781728197326

the proceedings contain 95 papers. the topics discussed include: high-degree noise addition method for the k-degree anonymization algorithm;an algorithm for the automatic precisiation of the meaning of adjectives;stochastic unit commitment problem in electricity market;a 3D-CNN classiﬁer for gender discrimination from diffusion tensor imaging of human brain;salient feature extraction in Japanese metaphor generation;acceptability of a decision maker to handle multi-objective optimization on design space;effect of humanoid robot’s reaction on human touch to robot;parametric genetic programming;simultaneous visualization of documents, words and topics by tensor self-organizing map and non-negative matrix factorization;a veriﬁcation of visualization ability of onomatopoeia thesaurus map for sound-symbolism on Japanese vowels;column-based decoder of internal prediction representation in cortical learning algorithms;and model construction based on variable selection of indicators and alternative data in market forecasting.

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One WS-Management Based CoT System Management Model in Edge computing Environment 8

One WS-Management Based CoT System Management Model in Edge ...

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8th IEEE international conference on Cyber Security and Cloud computing and 2021 7th IEEE international conference on Edge computing and Scalable Cloud, CSCloud-EdgeCom 2021

作者： Wan, Xiaoli Li, Wenli Lu, Zhihui Xuan, Xiaohua Cheng, Jie Zhejiang International Business Group Co. Ltd Information Center Hangzhou China Shenzhen Polytechnic Educational Technology and Information Center Shenzhen China Fudan University School of Computer Science Shanghai China Co. Ltd. China Gausscode Technology INC United States

ISBN: (纸本)9781665443777

the paper discusses the development trend of protocols for CoT (Cloud-of-things) system management and defines one WS-Management based CoT system management model in Edge computing environment. Wiseman is one implementation project of WS-Management. the paper compares three Wiseman based implementation scheme of this model. the model can facilitate the CoT systems management function. the comparison result can help venders to choose appropriate CoT system management modules structure. the future research will focus on the different function construction and performance enhancement of the model. At the same time, we will focus on how to achieve efficient edge resource management based on WS-management protocol in the cloud-edge hybrid architecture environment. © 2021 IEEE.

关键词： Edge computing

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the Digital Construction in Multinational Corporations: A Preliminary Study 7

The Digital Construction in Multinational Corporations: A Pr...

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7th IEEE international conference on Big Data Intelligence and computing, DataCom 2021

作者： Zhang, Zhengkai Xu, Shengzhi State Grid International Development Co. Ltd. Department of Technical Support Beijing China

ISBN: (纸本)9781665420716

the international market environment is undergoing rapid change. To advance the development of multinational corporations, the information systems in multinational corporations are expected to be constructed rapidly and optimized timely in accordance with the requirements of international business management. Moreover, the cross-border data in multinational corporations is massive, from which valuable insights can be discovered to support international business management. In this paper, we analyze the challenges of constructing information systems in multinational corporations. We propose that the new architecture with the enterprise middle platform as core should be used in multinational corporations. this architecture could accumulate common system functions, collect business data resources, and provide convenient and reusable services to the front-end information systems. Based on the enterprise middle platform, we could accelerate the construction of the information systems and conduct various data analysis. An information system is developed as an example to show that adopting this new architecture is good for multinational corporations to implement global management. the study in this paper provides meaningful references for multinational corporations to drive digital transformation. © 2021 IEEE.

关键词： Information systems

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Growth Profile of Using AI Techniques in Antenna Research Over three Decades 7th

Growth Profile of Using AI Techniques in Antenna Research Ov...

引用

7th international conference on Data Management, Analytics and Innovation, ICDMAI 2023

作者： Mani, G.S. Pohekar, S.D. Symbiosis International University PRN *** Pune India

ISBN: (纸本)9789819914135

Artificial Intelligence has emerged as one of the very highly researched areas in recent times. the antenna research community has been exploring AI techniques for the design and development of various types of antennas for communication, radar, aerospace, and other applications for several years. this research has gained large significance in the last few decades due to the emergence of many wireless devices used in communications and computing systems, health monitoring systems, remotely operated robotic systems, and strategic systems including those used for Radar and Electronic warfare. the recent growth of interest in 5G, MIMO, IoT, and RF ID devices has also been a stimulant for adapting AI techniques for novel antenna designs. the present study reviews about 6000 documents over the period 1991–2020 to look at the growth profile of Antenna research in relation to various Artificial Intelligence techniques. the paper provides a landscape view of use of the AI techniques in antenna research and identifies research themes and trends, Knowledge Gaps, and Linkages between the different techniques. the study will be useful for new researchers to help plan their research activity, for experienced antenna engineers to trace the growth profile of antenna research related to different AI techniques, and for other researchers to trace AI applications in different technologies. © 2023, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Radar antennas

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Marketing Gamification in Metaverse Web 3.0 with Artificial Intelligence (AI)

Marketing Gamification in Metaverse Web 3.0 with Artificial ...

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international conference on ent computing and Control systems (ICICCS)

作者： Swati Tayal K. Rajagopal Symbiosis Centre for Management and Human Resource Development Symbiosis International (Deemed University) Pune India

Metaverse has attained global attention since its announcement, and several discussions and analyses have been actively going on in the current research for the past year. the author discussed the marketing frameworks through Gamification in the Metaverse World Wide Web 3.0. Metaverse attempts to bring human connections to the Virtual World with an immersive experience. the author discussed the emerging presence of Artificial Intelligence (AI) in the Metaverse, which could be changing the environment for user experience. Gamification offers different methods to engage the user types in environments where Marketing tries to attain and attract customers in Metaverse. With the growing expansion since the Information technology revolution, the World wide web has grown into a different version of Web 3.0, which is still evolving. the research discusses the newly imminent area in the Metaverse as Web 3.0 evolves with Artificial Intelligence.

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ICOPE 2019 - 7th international conference on Power Engineering, proceedings

ICOPE 2019 - 7th International Conference on Power Engineeri...

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7th international conference on Power Engineering, ICOPE 2019

the proceedings contain 218 papers. the topics discussed include: reaction kinetics analysis of branched-chain alkyl esters of palmitic acid and cold flow properties -2019;effects of some key parameters on the overall performance of gas turbine;optimization of off-grid wind-solar hybrid power generation system based on real-time meteorological data;design and experimental study of organic rankine cycle system for temperature-regulated water of urea plant;research on primary frequency control strategy of combined cycle units based on source-network coupling model;dynamic simulation of hybrid power micro gas turbine systems;research on the elasticity evaluation of distributed energy demand response based on incentives;exploration study on thermodynamic analysis of thermal management system applied in lunar base;a thermally regenerative ammonia-based battery with copper foam electrodes for low-temperature waste heat recovery: effect of reactor and electrode design;and energy hub-based optimal configuration planning for region-level integrated energy system with consideration of dynamic characteristics of energy devices.

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Approaches for Advanced Spectrum Sensing in Cognitive Radio Networks

Approaches for Advanced Spectrum Sensing in Cognitive Radio ...

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international conference on ent computing and Control systems (ICICCS)

作者： Abhay Chaturvedi Kdv Prasad Sudhanshu Kumar Jha Ved Srinivas N Anil Kumar V Dankan Gowda Department of Electronics and Communication Engineering GLA University Mathura Uttar Pradesh India Symbiosis Institute of Business Management (SIBM) Symbiosis International (Deemed University) (SIU)Off Bangalore Highway Kothur Mandal Village Mahabubnagar Hyderabad Telangana India Department of Electronics and Communication University of Allahabad Prayagraj Uttar Pradesh India Public Policy Thiagarajar School of Management Madurai Tamilnadu India Department of Electronics and Instrumentation Engneering Mohan Babu University (Erst while Sree Vidyanikethan Engineering College) A.rangampet Andhra Pradesh India Department of Electronics and Communication Engineering BMS Institute of Technology and Management Bangalore Karnataka India

Intelligent learning and adaptation allow cognitive radios (CRs) to maximise available spectrum while maintaining stable connections. Cognitive radio technology may detect unused channels of radio frequency space via a process called “spectrum sensing," and then get rapid and easy access to such channels. An important aspect of CR technology is spectrum sensing, which allows CRs to detect gaps in the spectrum. It’s the practise of keeping tabs on a certain radio spectrum band on a regular and changing basis to see if there are any interference issues that might prevent its utilisation. Noise power and signal fading in a wireless channel have a significant impact on the efficiency of spectrum sensing techniques in noisy situations. Another difficulty for sensing algorithms involving a single secondary user is the dilemma of a hidden main user in shadowed areas. algorithms for cooperative spectrum sensing must take into account a number of aspects, including sensing time, speed, cooperation overheads, and decision fusion methods. In order to provide efficient and adaptable IoT networking, many wireless technologies have emerged in recent years. One of the primary technologies that provides opportunistic connection to a wide variety of interconnected IoT devices is cognitive radio (CR), which makes software-defined radio possible. An unmanaged and unregulated invasion of privacy through low-powered wireless sensors into the Internet of things (IoT). the output of such networks is dependent on the main consumer’s observed spectrum pattern because of the networks’ opportunistic nature.

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