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检索条件"任意字段=2nd International Conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2022"

共 200 条记录，以下是41-50 订阅

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A New Model for Stock Market Predication Using a Three-Layer Long Short-Term Memory 2

A New Model for Stock Market Predication Using a Three-Layer...

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2nd international Mobile, Intelligent, and Ubiquitous Computing conference, MIUCC 2022

作者： Nabil, Ayman Magdi, Nebal Misr International University Faculty of Computer Science Cairo Egypt Misr International University Faculty of Business and International Trade Cairo Egypt

ISBN: (纸本)9781665466776

The stock market predication is full of uncertainty and is affected by many factors. such as historical data, sentimental analysis, and financial analysis. Studies have also shown that predicting direction taking only one factor or merging two factors only from three different factors (Trend analysis-Financial ratios-Sentiment analysis). A new proposed model will be used, which combines three features of stock evaluation for the first time: Trend analysis based on historical data, analysis of financial ratios, and online news analysis as an input to the deep learning algorithm using long short-term memory to get more accurate results. It can be shown from the results that this model can be used to predict the stock performance with a higher accuracy compared with other models. © 2022 IEEE.

关键词： Training Time-frequency analysis Uncertainty computational modeling Predictive models Prediction algorithms Market research

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analysis of Geological Disasters Economic Evaluation

Analysis of Geological Disasters Economic Evaluation

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2nd international conference on Advances in computational modeling and simulation (ACMS 2013)

作者： Zhan, Qinghua Wang, Shimei Three Gorges Univ Inst Civil Engn & Architecture Yichang Hubei Peoples R China

ISBN: (纸本)9783037859063

This paper first introduces the meaning and mission of the economic evaluation of geological disasters, as well as the basic concepts of different economic evaluation, and then discuss the methods of economic evaluation of geological disasters, including multi-level fuzzy comprehensive evaluation method and statistical data evaluation method, and gives the outlook of the economic evaluation of geological disasters.

关键词： Geological disasters Economic evaluation Multi-level fuzzy comprehend- sive evaluation method Statistical data evaluation method

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computational modeling and Emerging Trend in Agriculture 2

Computational Modeling and Emerging Trend in Agriculture

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2nd international conference on Computing for Sustainable Global Development (IndIACom)

作者： Kumar, Sunil Shamim, Mohammad Bansal, Mamta Gangwar, B. Aggarwal, R. P. Indian Inst Farming Syst Res Meerut Uttar Pradesh India Shobhit Univ Modipuram Meerut Uttar Pradesh India

ISBN: (纸本)9789380544168

computational modelling with the use of intelligence techniques for computing the agricultural output by providing minimum input data to lessen the time through cutting down the multi locational field trials and also the labours and other inputs is getting momentum. Development of locally suitable integrated farming systems (IFS) is the utmost need of the day, particularly in India where about 95% farms are under small and marginal holding size. The computational models are developed through incorporation of all independent variables which affect directly or indirectly the output of a system. Models can also be useful in teaching processes involved in the systems and its behaviour in response input variables. Calibration, verification, and validation are very important procedure to produce accurate simulation models. Computer simulations are good at portraying and comparing theoretical scenarios, but in order to accurately model actual case studies they have to match what is actually happening today. It is the research tools which can be used to curtail the huge expenditure in conducting the multiple experiments either in the field or laboratory. computational modelling is increasingly effective for designing and analysis of the system. This is very important tool to analyses the effect of different scenarios on the systems and its interaction among themselves.

关键词： computational modeling scenario analysis crop simulation model IFS

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A New Method of Multi-attribute Decision-making Based on Grey Relational analysis with Time Series

A New Method of Multi-attribute Decision-making Based on Gre...

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2nd international conference on Advances in computational modeling and simulation (ACMS 2013)

作者： Zhang, Yi China West Normal Univ Coll Math & Informat Nanchong 637002 Peoples R China

ISBN: (纸本)9783037859063

For the multi-attribute decision making with time series, based on the comprehensive consideration of various indicators of quality and growth degree, with grey relational analysis on less data, uncertain information can be integrated comparison, so we put forward a new decision method considering the decision maker subjective views, and provide a scientific and rational decision-making method. By the example, that method is viable.

关键词： multi-attribute decision-making grey relational analysis growth degree time series

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Application of data Mining in CRM

Application of Data Mining in CRM

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2nd international conference on Advances in computational modeling and simulation (ACMS 2013)

作者： Han, Xuexue Lei, Jinhui Zhao, Xiaoxia Luo, Peng Li, Jufang Kunming Univ Sci & Technol Kunming Peoples R China

ISBN: (纸本)9783037859063

In the electronic commerce (e-commerce) environment, customer relationship management (CRM) is the core of e-commerce activities, and the customer in the CRM plays a vital role to the enterprise's development. data mining technology can provide decision support for enterprises in the aspects such as the acquisition and maintaince of customers and the analysis of consumer satisfaction research research (CSR), to improve the market competitiveness of enterprises. This article tells the application of data mining techniques in some areas of CRM.

关键词： Customer Relationship Management (CRM) data Mining

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An Ensemble-Based Model to Improve the Accuracy of Automatic Short Answer Grading 2

An Ensemble-Based Model to Improve the Accuracy of Automatic...

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2nd international Mobile, Intelligent, and Ubiquitous Computing conference, MIUCC 2022

作者： Saeed, Mostafa Mohamed Gomaa, Wael H. MSA University Faculty of Computer Science Giza Egypt Beni-Suef University MSA University Faculty of Computer and Artificial Intelligence Faculty of Computer Science Egypt

ISBN: (纸本)9781665466776

Since 1966 much research has been done on the automatic grading of student answers task, and it was divided into short answer grading and essay scoring. In this paper, on the short answer grading challenge, we are working with text similarity approaches that are being classified into string, semantic (corpus and knowledge-based), and embedding text similarity approaches are the three types of text similarity techniques. On the Texas data-structure data set, different experiments were examined individually before being merged to give a maximum correlation result of 0.65. © 2022 IEEE.

关键词： Correlation computational modeling Semantics Knowledge based systems Ubiquitous computing Task analysis

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Research on digital twin model of energy equipment 2

Research on digital twin model of energy equipment

引用

2nd IEEE international conference on Power, Electronics and Computer Applications, ICPECA 2022

作者： Zhang, Zheyu Jiang, Jinyang Cheng, Xiao Electric Power Research Institute of State Grid Chongqing Electric Power Company Energy Internet Center Chongqing China

ISBN: (纸本)9781665442763

Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, controlling, and improved decision making. Recent advances in computational pipelines, multiphysics solvers, artificial intelligence, big data cybernetics, Biotechnology, data processing and management tools bring the promise of digital twins and their impact on society closer to reality. Digital twinning is now an important and emerging trend in many applications. Also referred to as a computational megamodel, device shadow, mirrored system, avatar or a synchronized virtual prototype, there can be no doubt that a digital twin plays a transformative role not only in how we design and operate cyber-physical intelligent systems, but also in how we advance the modularity of multi-disciplinary systems to tackle fundamental barriers not addressed by the current, evolutionary modeling practices. By introducing the technology and development process of digital twinning, this paper puts forward a model for real-time analysis and monitoring combined with the establishment method of digital twinning model of transformer electromagnetic and thermal field in power system and the technologies of Internet of things, cloud computing and big data. © 2022 IEEE.

关键词： Big data

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Proceedings of the 2nd international conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999

Proceedings of the 2nd International Conference on Intellige...

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2nd international conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999

ISBN: (纸本)0780354893

The proceedings contain 190 papers. The topics discussed include: hybrid modeling for testing intelligent software for lunar-mars closed life support;image analysis and vision systems for processing plants;from fuzzy set theory to computational intelligence - special European experiences;computer simulation and information management systems for material processing;simulation of springback with the draw/bend test;logical rule extraction from data by maximum neural networks;a systematic and reliable approach to pattern classification;dynamic associative memory using chaotic neural networks;trends in intelligent process control in the primary aluminum industry;and the heredity and control of microstructures of liquid metals during rapid cooling processes.

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Proceedings of the 2nd international conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999

Proceedings of the 2nd International Conference on Intellige...

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2nd international conference on Intelligent Processing and Manufacturing of Materials, IPMM 1999

ISBN: (纸本)0780354893

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Study of conversion of ammonia from urea water solution droplets using CFD 2

Study of conversion of ammonia from urea water solution drop...

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2nd international conference on computational Fluid Dynamics in Research and Industry (CFDRI) - Streamlining Technological Shift

作者： Jyothis, K. Vikas, R. Amrita Univ Amrita Vishwa Vidyapeetham Amrita Sch Engn Dept Mech Engn Coimbatore Tamil Nadu India

ISBN: (纸本)9781510848948

This paper deals with the numerical analysis of the spray behaviour of urea water solution (UWS) droplets used in Selective catalytic reduction (SCR) process. The study uses the ANSYS-Fluent-14 as a basic framework for numerical simulations. The evaporation modelling is based on multi-component droplet evaporation approach along with the consideration of Stefan flow. The urea decomposition treated as direct thermolysis approach, where the modelling is based on the single kinetic rate approach by the proper fitting of pre-exponent. This developed model was used for spray simulation of UWS droplet evaporation to determine the urea to ammonia conversion efficiency. The obtained spray simulation results were compared with the available experimental data. The comparison shows the pre-exponent developed in the study is suitable for direct thermolysis approach to get promising results in determining the ammonia conversion efficiency.

关键词： ammonia Urea computational fluid dynamics charge flow devices aqueous solutions thermal dissociation thermal degradation evaporation modeling Sprays Conversion efficiency Numerical analysis droplets

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