soft computing 2019




soft computing is the use of inexact solutions to computationally hard tasks such as the solution of NP-complete problems, for which there is no known algorithm that can compute an exact solution in polynomial time



Introduction to the Minitrack on Soft Computing : Theory Innovations and Problem Solving Benefits
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The term Soft Computing is usually used in reference to a family of several preexisting techniques (fuzzy logic, neuro- computing , probabilistic reasoning, evolutionary computation, etc.) able to work in a cooperative way, taking profit from the main advantages of eachDecision making under a hierarchical structure is commonly found in the real world, yet the optimization of such decisions is typically difficult due to the highly inter-dependent nature among the decisions by the decision-makers at different levels of the hierarchical

Soft Computing in Data Science
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Educational data mining has been widely used to predict student performance and establish intervention strategies to improve that performance. Most studies have implemented machine learning algorithms for interventions but the use of data mining in appraising

Balancing the complexity of architecture and generalization of soft - computing model in predicting the properties of composite preforms
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The novel strategy proposed in this paper is used to reduce the complexity of architecture of soft - computing model like neural network with high accuracy in predicting the outputs. It further improves the recognition power of neural network while handling raw-data with

PREDICTION OF DROWSY DRIVER DETECTION BY USING SOFT COMPUTING
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This study describes a program based on changes in facial expressions for automatic drowsy drivers and accident prevention. The main reason for road accidents might be due to the number of driving years. Review of face expression will include the drivers somnolence It is a matter of pride that 5th International Conference on Harmony Search, Soft Computing and Applications (ICHSA 2019) was organized at Kunming, China, during July 20 2 2019. ICHSA Conference has a glorious history; the earlier editions of the conference were The modern era of advance computing is still striving to develop a consciousness-based machine. The used methods are quite close to the reasoning process of humans. The insidious use of soft computing (SC) in diversified engineering applications makes it an Abstract Ubiquitous Computing Environment (UCE) has become increasingly crucial for a component-based Middleware for Ubiquitous Soft Computing Environment by using Fuzzy Agent Computing System (USCE FACS) that can fully exploit interactive service

Benefits, of using big data sentiment analysis and soft computing techniques in E-governance
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In the current digital world, we tend to use electronic media to complete, each process and every work on time and quickly. In governance, we are benefited in a significant way from the use of sentiment posted electronically, called big data sentiment for e-governance. In this

Introduction to the Minitrack on Intelligent Decision Systems Based on Soft Computing
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Intelligent decision support systems based on soft computing are of great importance to deal with complex decision environments and involve the design of mathematical models for modeling decision problems, the use of different information technologies (such as the web

Deep Machine Learning SW for Intelligent Control. Part I: Soft computing KB optimizer supremacy
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The technology and toolkit for development of intelligent control for complex unstable dynamic systems are described. A new approach is founded on the new ideas of soft computing applied to intelligent control system design based on fuzzy PID controllers

Neural soft computing based secured transmission of intraoral gingivitis image in e-health care
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In this paper, a key based soft computing transmission of intraoral gingivitis image has been proposed without the exchange of common key in between the nodes. Gingivitis has been a type of periodontal disease caused due to bacterial colonization inside the mouth, having Page 1. RETRACTION NOTE Retraction Note to: Temperature-based estimation of global solar radiation using soft computing methodologies Kasra Mohammadi1 Shahaboddin Shamshirband 3 Amir Seyed Danesh2 Mohd Shahidan Abdullah4 Mazdak Zamani4 The Editor-in-Chief has retracted this article because the validity of the content of this article cannot be verified. This article showed evidence of substantial text overlap (most notably with the articles cited [2-5]), peer review and authorship manipulation. AuthorsFuzzy set theory was introduced by Lotfi Zadeh in 196 as a generalization of classical set theory, for representing imprecise and vague phenomena. The concept of fuzzy graphs was initiated by Kaufmann based on Zadehs fuzzy relations. In 197 Rosenfeld laid the

Predicting Monthly Electricity Demand Using Soft - Computing
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Electricity is an essential commodity for all. The generation, transmission and distribution (GTD) of electrical energy needs much planning since every megawatt transmitted for distribution depends on consumers demand. An accurate estimation (prediction) of future Similar to its effects on any type of cementitious composite, it is a well-known fact that sulfate attack has also a negative influence on engineering behavior of cement-stabilized soils. However, the level of degradation in engineering properties of the cement-stabilized soils

Intuitionistic Fuzzy Theory for Soft - Computing : More Appropriate Tool Than Fuzzy Theory
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The entire work reported here is a philosophy based theoretical presentation. In this work it has been justified that intuitionistic fuzzy theory is more appropriate tool than fuzzy theory for soft - computing . Any association of computing methodologies centered on fuzzy set theory is

Soft Computing Model to Predict Chronic Diseases
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The World Health Organization (WHO) has reported that non-communicable diseases are too risky as one of the serious diseases that threaten this world. The chronic diseases are extremely complex, so collaboration with ecological, biological and behavioral has given

Design and analysis a control system using soft computing methods for electrical machines
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? To study Vector control technique for reactive power and harmonic compensation.? To study the behavior of machine with and without vector control method.? To study the behavior of machine with soft computing techniques.? To study the unbalance behavior of

Soft Computing in Data Science
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Educational data mining has been widely used to predict student performance and establish intervention strategies to improve that performance. Most studies have implemented machine learning algorithms for interventions but the use of data mining in appraising

Introduction to the Minitrack on Intelligent Decision Systems Based on Soft Computing
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Intelligent decision support systems based on soft computing are of great importance to deal with complex decision environments and involve the design of mathematical models for modeling decision problems, the use of different information technologies (such as the web

DESIGN AND ANALYSIS A CONTROL SYSTEM USING SOFT COMPUTING METHODS FOR ELECTRICAL MACHINES
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To study Vector control technique for reactive power and harmonic compensation. To study the behavior of machine with and without vector control method. To study the behavior of machine with soft computing techniques. To study the unbalance behavior of

Environmental Benefits of Enhanced Hecc-Elgamal Cryptosystem for Security in Cloud Data Storage Using Soft Computing Techniques
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Cloud services is used by many organizations and it has captured a major segment of the competitive market today. The green, or eco-friendly, aspect of the cloud is one of the most multifaceted advantages of cloud computing . The environmental advantages of cloudThe natural evolutionary process is stimulated by evolutionary algorithms with a set of generic meta-heuristic optimization algorithms. These algorithms provide global optimum solutions with a complete set of solutions rather than a set of the single solution at the same The task of the appropriate selection of the specialized Internet of Things (IoT) platform is very relevant today. The complexity of the selection process is due to (a) the large number of IoT platforms, which are available on the IoT services market, and (b) the variety of services

A Survey of Soft Computing Techniques on Bio Medical Image Processing
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Soft Computing is the fusion of methodologies that are designed to model and enable solutions to real world problems, which cannot be modeled or too difficult to model mathematically. Soft computing is a consortium of methodologies that work synergistically

Stock Price Direction Prediction Applying Soft Computing
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Page 1. Stock Price Direction Prediction Applying Soft Computing Gujarat Technological University Supervisor: Dr. Jayeshkumar M. Patel 1 Co-Supervisor: DPC Expert 1: DPC Expert 2: Dr. Ranki Thuriumilla

SOFT COMPUTING BASED DATA AGGREGATION IN WIRELESS SENSOR NETWORKS A REVIEW
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The wireless sensor networks (WSN) consist with large number of sensor nodes operational together to perform some specific task. The sensor nodes are typically programmed for monitoring the environment and collect Packets of information and pass them to user agent

Algorithms, Artificial Intelligence, Soft Computing and Informatics
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Deep Nearest Class Mean Model for Incremental Odor Classification . .Acoustics and Ultrasonics Instrumentation and Measurements

A COMPREHENSIVE REVIEW ON SOFTWARE RELIABILITY MODELING USING SOFT COMPUTING TECHNIQUES
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Software reliability models evaluate the reliability by anticipating issues for the software. Reliability is a true marvel with many related continuous issues. To acquire answers for issues rapidly, precisely and satisfactory, countless computing techniques have been

Soft computing techniques to analyze the turbulent wake of a wall-mounted square cylinder
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This paper introduces several methods, generally used in fluid dynamics, to provide low- rank approximations. The algorithm describing these methods are mainly based on singular value decomposition (SVD) and dynamic mode decomposition (DMD) techniques, and are

A SOFT COMPUTING APPROACH TO DETECTING E-BANKING PHISHING WEBSITES USING ARTIFICIAL NEURAL NETWORK
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Phishing is a cybercrime that is described as an art of cloning a web page of a legitimate company with the aim of obtaining confidential data of unsuspecting internet users. Recent researches indicates that a number of phishing detection algorithms have been introduced





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