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Titlebook: Intelligent Engineering Informatics; Proceedings of the 6 Vikrant Bhateja,Carlos A. Coello Coello,Prasant Ku Conference proceedings 2018 Sp

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發(fā)表于 2025-3-21 18:34:44 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Intelligent Engineering Informatics
副標(biāo)題Proceedings of the 6
編輯Vikrant Bhateja,Carlos A. Coello Coello,Prasant Ku
視頻videohttp://file.papertrans.cn/470/469657/469657.mp4
概述Presents recent research on Intelligent Engineering Informatics.Includes original papers by prominent researchers, scientists, engineers, and practitioners.Encompasses theories, methodologies, new ide
叢書名稱Advances in Intelligent Systems and Computing
圖書封面Titlebook: Intelligent Engineering Informatics; Proceedings of the 6 Vikrant Bhateja,Carlos A. Coello Coello,Prasant Ku Conference proceedings 2018 Sp
描述.This book presents the proceedings of the 6th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2017), held in Bhubaneswar, Odisha. The event brought together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. The book is divided into two volumes: Information and Decision Sciences, and Intelligent Engineering Informatics.?. .This volume covers broad areas of Intelligent Engineering Informatics, with papers exploring both the theoretical and practical aspects of various areas like ANN and genetic algorithms, human–computer interaction, intelligent control optimisation, intelligent e-learning systems, machine learning, mobile computing, multi-agent systems, etc. The book also offers a valuable resource for students at the post-graduate level in various engineering disciplines..
出版日期Conference proceedings 2018
關(guān)鍵詞FICTA 2017; FICTA Proceedings; Signal Processing; Soft Computing; Swarm Intelligence; Control Systems; Gen
版次1
doihttps://doi.org/10.1007/978-981-10-7566-7
isbn_softcover978-981-10-7565-0
isbn_ebook978-981-10-7566-7Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightSpringer Nature Singapore Pte Ltd. 2018
The information of publication is updating

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A New Term Weight Measure for Gender Prediction in Author Profiling,authors by analyzing their writing styles. The researchers in author profiling proposed various features such as character-based, word-based, structural, syntactic, and semantic features to differentiate the writing styles of the authors. The existing approaches in author profiling used the frequenc
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Image Encryption Based on Arnold Cat Map and GA Operator,ied on each pixel of image to make modified image. The crossover points are decided from a random sequence generated by logistic map. Second, pixels of modified image are shuffled like transposition cipher based on Arnold cat map. Finally, the encryption image is obtained by performing logical opera
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SVM Based Method for Identification and Recognition of Faces by Using Feature Distances,and form a face graph. The relative distances between these features are calculated. These distance measures are considered to be unique identifying attributes of a person. The distance measures are used to train a Support Vector Machine (SVM). The identification takes place by matching the features
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An Ensemble Learning-Based Bangla Phoneme Recognition System Using LPCC-2 Features,h devices. A speech-based UI can be a solution to this, considering the fact that it is one of the most spontaneous and natural modes of interaction for most people. The process of identification of words and phrases from voice signals is known as Speech Recognition. Every language encompasses a uni
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Solving Uncapacitated Facility Location Problem Using Monkey Algorithm,e objective of UFLP is to open a subset of facilities to satisfy the demands of all the customers such that the sum of the opening cost for the opened facilities and the service cost is minimized. UFLP is a well-known combinatorial optimization problem which is also NP-hard. So, a metaheuristic algo
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Kernel-Based Naive Bayes Classifier for Medical Predictions, different modeling methodologies is an active area of research. In this paper, live dataset in clinical medicine is used to implement recent work on predictive data analysis, implementing a kernel-based Na?ve Bayes classifier in order to validate some learned lessons for predicting the possible dis
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