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

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書目名稱Evolution in Computational Intelligence影響因子(影響力)




書目名稱Evolution in Computational Intelligence影響因子(影響力)學(xué)科排名




書目名稱Evolution in Computational Intelligence網(wǎng)絡(luò)公開度




書目名稱Evolution in Computational Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Evolution in Computational Intelligence被引頻次




書目名稱Evolution in Computational Intelligence被引頻次學(xué)科排名




書目名稱Evolution in Computational Intelligence年度引用




書目名稱Evolution in Computational Intelligence年度引用學(xué)科排名




書目名稱Evolution in Computational Intelligence讀者反饋




書目名稱Evolution in Computational Intelligence讀者反饋學(xué)科排名

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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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Incorruptible

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Traumatic-Grief

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