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Intelligent Computing & Optimization de Pandian Vasant

Intelligent Computing & Optimization: Advances in Intelligent Systems and Computing, cartea 866

Editat de Pandian Vasant, Ivan Zelinka, Gerhard-Wilhelm Weber
en Limba Engleză Paperback – 28 sep 2018
This book includes innovative research work presented at ICO’2018, the 1st International Conference on Intelligent Computing and Optimization, held in Pattaya, Thailand on October 4–5, 2018. The conference presented topics ranging from power quality, reliability, security assurance, cloud computing, smart cities, renewable energy, agro-engineering, smart vehicles, deep learning, block chain, power systems, AI, machine learning, manufacturing systems, and big-data analytics. This volume focuses on subjects related to innovative computing, uncertainty management and optimization approaches to real-world problems in big-data, smart cities, sustainability, meta-heuristics, cyber-security, IoTs, economics and finance, renewable energy, energy and electricity systems, and block chain. Presenting cutting-edge methodologies with real-world application problems and their solutions, the book is useful for researchers, managers, executives, students, academicians, practicing scientists, anddecision makers from all around the globe. It offers the academic and the applied communities a compendium and a research resource with significant insights and inspiration for innovative scientific education, investigation and collaboration, to overcome “hard problems” among the emerging challenges today and in the future.
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Specificații

ISBN-13: 9783030009786
ISBN-10: 3030009785
Pagini: 579
Ilustrații: XII, 575 p. 280 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.81 kg
Ediția:1st ed. 2019
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Intelligent Systems and Computing

Locul publicării:Cham, Switzerland

Notă biografică


Textul de pe ultima copertă

This book includes innovative research work presented at ICO’2018, the 1st International Conference on Intelligent Computing and Optimization, held in Pattaya, Thailand on October 4–5, 2018. The conference presented topics ranging from power quality, reliability, security assurance, cloud computing, smart cities, renewable energy, agro-engineering, smart vehicles, deep learning, block chain, power systems, AI, machine learning, manufacturing systems, and big-data analytics. This volume focuses on subjects related to innovative computing, uncertainty management and optimization approaches to real-world problems in big-data, smart cities, sustainability, meta-heuristics, cyber-security, IoTs, economics and finance, renewable energy, energy and electricity systems, and block chain. Presenting cutting-edge methodologies with real-world application problems and their solutions, the book is useful for researchers, managers, executives, students, academicians, practicing scientists, and decision makers from all around the globe. It offers the academic and the applied communities a compendium and a research resource with significant insights and inspiration for innovative scientific education, investigation and collaboration, to overcome “hard problems” among the emerging challenges today and in the future.

Caracteristici

Provides current cutting edge methodologies and applications to real world problems in the interdisciplinary fields Presents the results of International Conference on Intelligent Computing & Optimization (ICO 2018) held in Pattaya, Thailand, from October 4th to 5th, 2018 Focuses on a variety of methods and systems as well as practical examples

Cuprins

Low-Light Image Enhancement with Artificial Bee Colony Method.- Optimal State-Feedback Controller Design for Tractor Active Suspension System via Lévy-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.