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Intelligent Computing & Optimization : Proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021) - Pandian Vasant

Intelligent Computing & Optimization

Proceedings of the 4th International Conference on Intelligent Computing and Optimization 2021 (ICO2021)

By: Pandian Vasant (Editor), Ivan Zelinka (Editor), Gerhard-Wilhelm Weber (Editor)

Paperback | 30 December 2021

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