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[ subject:"Computational intelligence" ]
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Intelligent computing & optimization...
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International Conference on Intelligent Computing and Optimization (2021 :)
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Intelligent computing & optimization = proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Intelligent computing & optimization/ edited by Pandian Vasant, Ivan Zelinka, Gerhard-Wilhelm Weber.
其他題名:
proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) /
其他題名:
ICO 2021
其他作者:
Vasant, Pandian.
團體作者:
International Conference on Intelligent Computing and Optimization
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xxiv, 1006 p. :ill., digital ;24 cm.
內容註:
Low-Light Image Enhancement with Artificial Bee Colony Method -- Optimal State-Feedback Controller Design for Tractor Active Suspension System via Levy-Flight Intensified Current Search Algorithm -- The Artificial Intelligence Platform with the Use of DNN to Detect Flames: A Case of Acoustic Extinguisher -- Adaptive harmony search for cost optimization of reinforced concrete columns -- Best Traffic Signs Recognition Based on CNN Model for Self-Driving Cars -- Optimisation and Prediction of Glucose Production from Oil Palm trunk via Simultaneous Enzymatic Hydrolysis -- Synthetic data augmentation of cycling sport training datasets -- Optimal Compensation of Bouc-Wen model hysteresis using square dither -- Hybrid Pooling Based Convolutional Neural Network for Multi-class Classification of MR Brain Tumor Images -- Importance of Fuzzy Logic in Traffic and Transportation Engineering -- A Fuzzy Based Clustering Approach to Prolong the Network Lifetime in WSNs -- Visual Expression Analysis from Face Images Using Morphological Processing -- Detection of invertebrate virus carriers using deep learning networks to prevent emerging pandemic-prone disease in tropical regions -- Classification and detection of Plant Leaf Diseases using various Deep Learning techniques and Convolutional Neural Network -- Distributed Self-triggered Optimization for Multi-agent Systems -- Automatic Categorization of News Articles and Headlines using Multi-layer Perceptron -- Using Machine Learning Techniques for Estimating the Electrical Power of a New-Style of Savonius Rotor: A Comparative Study -- Tree-like Branching Network for Multi-class Classification -- Multi-Resolution Dense Residual Networks with High- Modularization for Monocular Depth Estimation -- A Decentralized Federated Learning paradigm for Semantic Segmentation of Geospatial Data -- Development of Contact Angle Prediction for Cellulosic Membrane -- Feature Engineering Based Credit Card Fraud Detection for Risk Minimization in E-Commerce -- DCNN-LSTM Based Audio Classification Combining Multiple Feature Engineering and Data Augmentation Techniques -- Sentiment Analysis: Developing an Efficient Model Based on Machine Learning and Deep Learning Approaches -- Improved Face Detection System -- Paddy Price Prediction in the South-Western Region of Bangladesh -- Paddy Disease Prediction Using Convolutional Neural Network -- Android Malware Detection System: A Machine Learning and Deep Learning based Multilayered Approach.
Contained By:
Springer Nature eBook
標題:
Computational intelligence - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-030-93247-3
ISBN:
9783030932473
Intelligent computing & optimization = proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) /
Intelligent computing & optimization
proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) /[electronic resource] :ICO 2021edited by Pandian Vasant, Ivan Zelinka, Gerhard-Wilhelm Weber. - Cham :Springer International Publishing :2022. - xxiv, 1006 p. :ill., digital ;24 cm. - Lecture notes in networks and systems,v. 3712367-3389 ;. - Lecture notes in networks and systems ;v. 371..
Low-Light Image Enhancement with Artificial Bee Colony Method -- Optimal State-Feedback Controller Design for Tractor Active Suspension System via Levy-Flight Intensified Current Search Algorithm -- The Artificial Intelligence Platform with the Use of DNN to Detect Flames: A Case of Acoustic Extinguisher -- Adaptive harmony search for cost optimization of reinforced concrete columns -- Best Traffic Signs Recognition Based on CNN Model for Self-Driving Cars -- Optimisation and Prediction of Glucose Production from Oil Palm trunk via Simultaneous Enzymatic Hydrolysis -- Synthetic data augmentation of cycling sport training datasets -- Optimal Compensation of Bouc-Wen model hysteresis using square dither -- Hybrid Pooling Based Convolutional Neural Network for Multi-class Classification of MR Brain Tumor Images -- Importance of Fuzzy Logic in Traffic and Transportation Engineering -- A Fuzzy Based Clustering Approach to Prolong the Network Lifetime in WSNs -- Visual Expression Analysis from Face Images Using Morphological Processing -- Detection of invertebrate virus carriers using deep learning networks to prevent emerging pandemic-prone disease in tropical regions -- Classification and detection of Plant Leaf Diseases using various Deep Learning techniques and Convolutional Neural Network -- Distributed Self-triggered Optimization for Multi-agent Systems -- Automatic Categorization of News Articles and Headlines using Multi-layer Perceptron -- Using Machine Learning Techniques for Estimating the Electrical Power of a New-Style of Savonius Rotor: A Comparative Study -- Tree-like Branching Network for Multi-class Classification -- Multi-Resolution Dense Residual Networks with High- Modularization for Monocular Depth Estimation -- A Decentralized Federated Learning paradigm for Semantic Segmentation of Geospatial Data -- Development of Contact Angle Prediction for Cellulosic Membrane -- Feature Engineering Based Credit Card Fraud Detection for Risk Minimization in E-Commerce -- DCNN-LSTM Based Audio Classification Combining Multiple Feature Engineering and Data Augmentation Techniques -- Sentiment Analysis: Developing an Efficient Model Based on Machine Learning and Deep Learning Approaches -- Improved Face Detection System -- Paddy Price Prediction in the South-Western Region of Bangladesh -- Paddy Disease Prediction Using Convolutional Neural Network -- Android Malware Detection System: A Machine Learning and Deep Learning based Multilayered Approach.
This book of Springer Nature is another proof of Springer's outstanding and greatness on the lively interface of Smart Optimization, Computational Science, Human Intelligence and Machine Learning! It is a Master Piece of what our community of Academics and Experts can provide when an Interdisciplinary Approach of Joint, Mutual and Deep Learning is supported by Modern Mathematics and Experience of the World-Leader Springer Nature! Fourth edition of International Conference on Intelligent Computing and Optimization took place at December 30-31, 2021, via ZOOM. Objective was to celebrate "Compassion and Wisdom" with researchers, scholars, experts and investigators in Intelligent Computing and Optimization worldwide, to share knowledge, experience, innovation-marvelous opportunity for discourse and mutuality by novel research, invention and creativity. This proceedings book of ICO'2021 is published by Springer Nature-Quality Label of Excellence.
ISBN: 9783030932473
Standard No.: 10.1007/978-3-030-93247-3doiSubjects--Topical Terms:
704428
Computational intelligence
--Congresses.
LC Class. No.: Q342 / .I58 2021
Dewey Class. No.: 006.3
Intelligent computing & optimization = proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) /
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Low-Light Image Enhancement with Artificial Bee Colony Method -- Optimal State-Feedback Controller Design for Tractor Active Suspension System via Levy-Flight Intensified Current Search Algorithm -- The Artificial Intelligence Platform with the Use of DNN to Detect Flames: A Case of Acoustic Extinguisher -- Adaptive harmony search for cost optimization of reinforced concrete columns -- Best Traffic Signs Recognition Based on CNN Model for Self-Driving Cars -- Optimisation and Prediction of Glucose Production from Oil Palm trunk via Simultaneous Enzymatic Hydrolysis -- Synthetic data augmentation of cycling sport training datasets -- Optimal Compensation of Bouc-Wen model hysteresis using square dither -- Hybrid Pooling Based Convolutional Neural Network for Multi-class Classification of MR Brain Tumor Images -- Importance of Fuzzy Logic in Traffic and Transportation Engineering -- A Fuzzy Based Clustering Approach to Prolong the Network Lifetime in WSNs -- Visual Expression Analysis from Face Images Using Morphological Processing -- Detection of invertebrate virus carriers using deep learning networks to prevent emerging pandemic-prone disease in tropical regions -- Classification and detection of Plant Leaf Diseases using various Deep Learning techniques and Convolutional Neural Network -- Distributed Self-triggered Optimization for Multi-agent Systems -- Automatic Categorization of News Articles and Headlines using Multi-layer Perceptron -- Using Machine Learning Techniques for Estimating the Electrical Power of a New-Style of Savonius Rotor: A Comparative Study -- Tree-like Branching Network for Multi-class Classification -- Multi-Resolution Dense Residual Networks with High- Modularization for Monocular Depth Estimation -- A Decentralized Federated Learning paradigm for Semantic Segmentation of Geospatial Data -- Development of Contact Angle Prediction for Cellulosic Membrane -- Feature Engineering Based Credit Card Fraud Detection for Risk Minimization in E-Commerce -- DCNN-LSTM Based Audio Classification Combining Multiple Feature Engineering and Data Augmentation Techniques -- Sentiment Analysis: Developing an Efficient Model Based on Machine Learning and Deep Learning Approaches -- Improved Face Detection System -- Paddy Price Prediction in the South-Western Region of Bangladesh -- Paddy Disease Prediction Using Convolutional Neural Network -- Android Malware Detection System: A Machine Learning and Deep Learning based Multilayered Approach.
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