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Titlebook: Evolution in Computational Intelligence; Frontiers in Intelli Vikrant Bhateja,Sheng-Lung Peng,Yu-Dong Zhang Conference proceedings 2021 The

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發(fā)表于 2025-3-21 18:07:01 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱(chēng)Evolution in Computational Intelligence
副標(biāo)題Frontiers in Intelli
編輯Vikrant Bhateja,Sheng-Lung Peng,Yu-Dong Zhang
視頻videohttp://file.papertrans.cn/318/317696/317696.mp4
概述Presents research in the field of intelligent computing.Features the proceedings of FICTA 2020, held at NIT Surathkal, India.Serves as a reference resource for researchers and practitioners in academi
叢書(shū)名稱(chēng)Advances in Intelligent Systems and Computing
圖書(shū)封面Titlebook: Evolution in Computational Intelligence; Frontiers in Intelli Vikrant Bhateja,Sheng-Lung Peng,Yu-Dong Zhang Conference proceedings 2021 The
描述This book presents the proceedings of 8th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2020), which aims to bring together researchers, scientists, engineers and practitioners to share 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: Evolution in Computational Intelligence (Volume 1) and Intelligent Data Engineering and Analytics (Volume 2)..Covering a broad range of topics in computational intelligence, the book features papers on theoretical as well as practical aspects of areas such as ANN and genetic algorithms, computer interaction, intelligent control optimization, evolutionary computing, intelligent e-learning systems, machine learning, mobile computing, and multi-agent systems. As such, it is a valuable reference resource for postgraduate students in various engineering disciplines..
出版日期Conference proceedings 2021
關(guān)鍵詞Evolutionary Computing; Fuzzy Computing; Intelligent Control; Machine Learning; Natural Language Process
版次1
doihttps://doi.org/10.1007/978-981-15-5788-0
isbn_softcover978-981-15-5787-3
isbn_ebook978-981-15-5788-0Series ISSN 2194-5357 Series E-ISSN 2194-5365
issn_series 2194-5357
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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,Sense Scheduling for Robotics Cognitive?Intelligence,ordinary speciality that is thinking ability. On the basis of this thinking ability, human can decide what is wrong or correct for him or others. Twenty-first century is known for the artificial intelligence. Where humans are forming artificial intelligence (robots) to complete the daily works. But,
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Feature Selection Using Ant Colony Optimization and Weighted Visibility Graph,d enhances the quality of dataset by selecting salient features. Good feature selection algorithm leads to accurate classification. Feature selection of high-dimensional dataset addresses the problem with redundancy, accuracy, and computational complexity. Ant colony optimization (ACO) is a modern a
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Personalised Structure Balance Theory-Based Movie Recommendation System, for recommender systems. However, it has several problems such as cold start problem that occurs due to insufficient data, lack of personalisation and scalability. The proposed method is a personalised structure balance theory-based hybrid method (personalised SBT), which attempts to solve the ment
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Effect of Soil and Climatic Attribute on Greenhouse Gas Emission from Agriculture Sector, we used soil attributes, i.e., soil type, soil humidity, soil temperature, Ph value, soil moisture, and climatic attributes, i.e., temperature, humidity, wind speed, pressure, and location to analyze and predict the emission of greenhouse gases CO. and CH. from Pune, India. We used different regres
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Optimal Image Feature Ranking and Fusion for Visual Question Answering,ge and a relating question. This AI-complete task gains attraction from numerous researchers from the areas computer vision (CV) and natural language processing (NLP) due to its various potential applications. The general flow of VQA algorithms consists of image feature extraction, question feature
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