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Recent Developments and the New Direction in Soft-Computing Foundations and Applications 1

丛书名： Studies in Fuzziness and Soft Computing

1000年

作者： Lotfi A. Zadeh Ronald R. Yager Shahnaz N. Shahbazova Marek Z. Reformat Vladik Kreinovich

ISBN: (数字)9783319754086

ISBN: (纸本)9783319754079;9783030092238

This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May 22-25, 2016, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications. Theories cover a wealth of topics, such as fuzzy logic, cognitive modeling, Bayesian and probabilistic methods, multi-criteria decision making, utility theory, approximate reasoning, human-centric computing and many others. Applications concerns a number of fields, such as internet and semantic web, social networks and trust, control and robotics, computer vision, medicine and bioinformatics, as well as finance, security and e-Commerce, among others. Dedicated to the 50th Anniversary of Fuzzy Logic and to the 95th Birthday Anniversary of Lotfi A. Zadeh, the book not only offers a timely view on the field, yet it also discusses thought-provoking developments and challenges, thus fosteringnew research directions in the diverse areas of soft computing.

关键词： Computational Intelligence Artificial Intelligence Game Theory, Economics, Social and Behav. Sciences Engineering Economics, Organization, Logistics, Marketing Control, Robotics, Mechatronics

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The ToolBus coordination architecture: A demonstration 5th

The ToolBus coordination architecture: A demonstration

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5th International Conference on Algebraic Methodology and Software technology, AMAST 1996

作者： Klint, P. Olivier, P. Department of Software Technology Centre for Mathematics and Computer Science P.O. Box 4079 Amsterdam1009 AB Netherlands Programming Research Group University of Amsterdam P.O. Box 41882 Amsterdam1009 DB Netherlands

The ToolBus is a generic software architecture for building heterogeneous, distributed, systems. We demonstrate several applications that have been implemented using the ToolBus technology. © Springer-Verlag Berl... 详细信息

ISBN: (纸本)9783540614630

关键词： Artificial intelligence

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Forecasting and modeling on average rainwater and vapor pressure in Chelyabinsk Russia using deep Learning models 6

Forecasting and modeling on average rainwater and vapor pres...

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6th Smart Cities Symposium, SCS 2022

作者： Abotaleb, Mostafa Makarovskikh, Tatiana Subhi, Alhumaima Ali Alkattan, Hussein Adebayo, Adelaja Oluwaseun Department of System Programming South Ural State University Chelyabinsk454080 Russia Electronic and Computer Center University of Diyala BaqubahMJJ2+R9G Iraq Information Communication and Technology Department Lagos State University Lagos102101 Nigeria

ISBN: (纸本)9781839538544

Machine learning technique is full-fledged as a boosting sector to develop modeling and forecasting of complex time series observations in the present environment. This study made an attempt to inspect the future performance of rainfall data and vapor in Chelyabinsk by using a machine learning technique. The data series is divided into a training set (60%) and a test set (40%) for model developing a validation purpose. We further developed deep learning models such as, LSTM, BILSTM, GRU and compared on the basis of ME, RMSE, MAE, MPE, MAPE, ACF1 on the training data set. For testing data set, we compared these deep learning models based on RMSE. LSTM model acts as a superior machine learning model over BILSTM and GRU in this data series. Forecasting performance of these three models significantly at par. This finding may be significant to build a strong literature of the Chelyabinsk weather's forecast, which can be helpful for policy makers and researchers. Also, we strongly believe that, this work could be used as a literature adaptation of machine learning technique for complex time series over statistical models. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Statistical tests

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Optimizing Machine Learning Algorithms to Enhance Blood Donation for Liver Patients: A Case Study 7

Optimizing Machine Learning Algorithms to Enhance Blood Dona...

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7th IET Smart Cities Symposium, SCS 2023

作者： Mijwil, Maad M. El-Kenawy, El-Sayed M. Bala, Indu Aljanabi, Mohammad Abotaleb, Mostafa Ibrahim, Abdelhameed Computer Techniques Engineering Department Baghdad College of Economic Sciences University Baghdad Iraq Department of Communications and Electronics Delta Higher Institute of Engineering and Technology Egypt School of Electrical and Electronics Engineering Lovely Professional University Punjab India Department of Computer Aliraqia University Baghdad Iraq Department of System Programming South Ural State University Chelyabinsk Russia Computer Engineering and Control Systems Department Faculty of Engineering Mansoura University Mansoura Egypt

ISBN: (纸本)9781839539831

Blood is vital for transporting oxygen, nutrients, and hormones to all body parts as it circulates through arteries and veins. It removes carbon dioxide, regulates body temperature, and maintains the body's immune system. Individuals constantly need blood and its derivatives to save their lives and improve their health through medical treatments and surgical operations. Liver diseases are one of the diseases that affects the health of individuals and requires blood to continue living. These diseases cause significant damage to people's health, and early diagnosis plays a crucial role in saving lives. In this paper, machine learning algorithms (support vector machine and random forest) are involved in detecting liver diseases and determining whether donors are suitable to donate blood from blood values. This paper is applied research that found that the performance measures of the random forest algorithm achieved excellent performance in identifying suitable people to donate blood. © The Institution of Engineering & technology 2023.

关键词： Support vector machines

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Uncertain multi-objective restricted solid transportation problem with budget and vehicle cost

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and computer Science 2016年第1 1期78 78卷 161-174页

作者： Baidya, Abhijit Bera, Uttam Kumar Maiti, Manoranjan Department of Mathematics National Institute of Technology Agartala-West-Tripura India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University WB India

In this paper, we investigate six new transportation models with breakability and vehicle cost under some restriction on transported amount. An extra constraint on the total budget at each destination is imposed. Here six models are formulated under different environments such as crisp, stochastic and fuzzy. Using expected value of fuzzy number and chance constraint programming technique, we convert the respective fuzzy and random Models into its crisp equivalent. To get the preference of the objective function, we apply weighted sum method and a gradient based optimisation technique-generalised reduced gradient (GRG) method are applied and using LINGO-13 software to get the optimal solutions.

关键词： Stochastic systems

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Composing concerns with a framework approach

Composing concerns with a framework approach

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International Conference on Distributed Computing Systems Workshop

作者： C.A. Constantinides T. Elrad Mathematical and Computer Sciences Department Loyola University Chicago USA Concurrent Programming Research Group Department of Computer Science Illinois Institute of Technology USA

ISBN: (纸本)0769510809

As concurrent software systems become larger, the interaction of their components is becoming more complex. This interaction may limit reuse, making it difficult to validate design and correctness and perhaps forcing reengineering of these systems in order to meet future requirements. In order to reduce this complexity and to build stable and adaptable concurrent software systems, we present an approach that emphasizes the separation of interaction components from the functional components.

关键词： Software systems Concurrent computing Mathematical programming Maintenance engineering Design engineering Software maintenance Software reusability computer science computer errors Software quality

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RFID and XBee based automated verification of put-away operation for Warehouse Management Systems

RFID and XBee based automated verification of put-away opera...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Burcu Bektaş Hayriye Korkmaz Department of Computer Programming Istanbul Gedik University Istanbul TURKEY Faculty of Technology Marmara University Istanbul TURKEY

ISBN: (纸本)9781467387101

This study proposes a system using RFID and XBee technology to address and eliminate the problems resulting from human errors in put-away operations. The human errors in such operations are a serious problem that leads to a number of difficulties in production lines and supply-chain. The use of automated verification system in put-away operations in warehouses is rather rare. Therefore, the study draws from Information Technologies. Three modules - warehouse, racks, and forklifts - have been designed to ensure automated verification of error-free placement of goods. Also, a user interface is developed in Visual Studio C#.Net and SQL server is used for database management system. The developed system also provides monitoring of all steps of operation and enables real-time checking and supervision. Thus, it offers a reliable and transparent operation system, significantly contributes to effective management of supply chain and helps to improve high quality of fast and correct product delivery by minimizing the human errors. Thus, the study highlights the importance of automated verification system for an effective management of supply chain practices by establishing coordination among rack, forklift, warehouse modules, operator and product.

关键词： Universal Serial Bus Lead Monitoring Servers Tagging Cryptography Legged locomotion

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A hybrid shared memory execution model for a data parallel language with I/O

A hybrid shared memory execution model for a data parallel l...

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作者： Grelck, Clemens Kuthe, Steffen Scholz, Sven-Bodo Institute of Software Technology and Programming Languages University of Lübeck Ratzeburger Allee 160 23538 Lübeck Germany Department of Computer Science University of Hertfordshire College Lane Hatfield AL10 9AB United Kingdom

We propose a novel execution model for the implicitly parallel execution of data parallel programs in the presence of general I/O operations. This model is called hybrid because it combines the advantages of the standard execution models fork/join and SPMD. Based on program analysis the hybrid model adapts itself to one or the other on the granularity of individual instructions. We outline compilation techniques that systematically derive the organization of parallel code from data flow characteristics aiming at the reduction of execution mode switches in general and synchronization/communication requirements in particular. Experiments based on a prototype implementation show the effectiveness of the hybrid execution model for reducing parallel overhead. © 2008 World Scientific Publishing Company.

关键词： Input output programs

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Stability Analysis of Imprecise Prey-Predator Model 4th

Stability Analysis of Imprecise Prey-Predator Model

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4th IFIP TC 12 International Conference on Intelligence Science, ICIS 2020

作者： De, Anupam Khatua, Debnarayan Maity, Kalipada Panigrahi, Goutam Maiti, Manoranjan Department of Applied Sciences Haldia Institute of Technology Haldia West Bengal India Department of Basic Science and Humanities Global Institute of Science and Technology Haldia West Bengal India Department of Mathematics Mugberia Gangadhar Mahavidyalaya Contai West Bengal India Department of Mathematics National Institute of Technology Durgapur Durgapur West Bengal India Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore West Bengal India

ISBN: (纸本)9783030748258

Since the last few decades, the prey-predator system delivers attractive mathematical models to analyse the dynamics of prey-predator interaction. Due to the lack of precise information about the natural parameters, a significant number of research works have been carried out to take care of the impreciseness of the natural parameters in the prey-predator models. Due to direct impact of the imprecise parameters on the variables, the variables also become imprecise. In this paper, we developed an imprecise prey-predator model considering both prey and predator population as imprecise variables. Also, we have assumed the parameters of the prey-predator system as imprecise. The imprecise prey-predator model is converted to an equivalent crisp model using "e" and "g" operator method. The condition for local stability for the deterministic system is obtained mathematically by analysing the eigenvalues of the characteristic equation. Furthermore, numerical simulations are presented in tabular and graphical form to validate the theoretical results. © 2021, IFIP International Federation for Information Processing.

关键词： Eigenvalues and eigenfunctions

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Optimization of industrial processes in reactors

Optimization of industrial processes in reactors

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2nd International Conference on Key Engineering Materials and computer Science, KEMCS 2013

作者： Berdiyeva, Meruyert Ospanova, Aiman Othman, Mohamed Department of Computer engineering and Software programming South Kazakhstan State University Tauke khan avenue 5 Shymkent 160012 Kazakhstan Dept of Communication Technology and Network Universiti Putra Malaysia 43400 UPM Serdang Selangor D.E Malaysia

ISBN: (纸本)9783037857274

In the conditions of industrial production many processes of polymerisation are nonstationary. By processes optimization with the regard for such features as basic data it is necessary to use adaptive algorithms of identification, allowing mathematical model of process continuously to be adapted for changing conditions of operation. Use of such algorithms for process optimization demands periodic recalculation of optimum technological modes of process. Polymer reaction engineering is a discipline that deals with various problems concerning the fundamental nature of chemical and physical phenomena in polymerization processes. Mathematical modeling is a powerful tool for the development of process understanding and advanced reactor technology in the polymer industry. © (2013) Trans Tech Publications, Switzerland.

关键词： Optimization

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