Note: Intro -- Conference Committees ICO'2021 -- Steering Committee -- General Chair -- Honorary Chairs -- TPC Chairs -- Special Sessions Chairs -- Keynote Chairs and Panel Chairs -- Publicity and Social Media Chairs -- Workshops and Tutorials Chairs -- Posters and Demos Chairs -- Sponsorship and Exhibition Chairs -- Publications Chairs -- Webinar Coordinator -- Web Editor -- Reviewers -- Contents -- Editors -- Sustainable Artificial Intelligence Applications -- Low-Light Image Enhancement with Artificial Bee Colony Method -- Abstract -- 1 Introduction -- 2 Image Contrast -- 3 Enhancement of Image Contrast by Using ABC -- 4 Experimental Settings and Results -- 5 Conclusions -- References -- Optimal State-Feedback Controller Design for Tractor Active Suspension System via Lévy-Flight Intensified Current Search Algorithm -- Abstract -- 1 Introduction -- 2 Dynamic Model of Tractor Active Suspension System -- 3 Problem Formulation -- 4 Results and Discussions -- 5 Conclusions -- References -- The Artificial Intelligence Platform with the Use of DNN to Detect Flames: A Case of Acoustic Extinguisher -- Abstract -- 1 Introduction -- 2 The Use of Deep Neural Networks for Flame Detection -- 3 Architecture of Neural Networks Used -- 4 Conclusion -- References -- Adaptive Harmony Search for Cost Optimization of Reinforced Concrete Columns -- Abstract -- 1 Introduction -- 2 Methodology -- 3 Numerical Example -- 4 Conclusion -- Acknowledgments -- References -- Efficient Traffic Signs Recognition Based on CNN Model for Self-Driving Cars -- Abstract -- 1 Introduction -- 2 Related Work -- 3 The Proposed Model -- 4 Experimental Work -- 4.1 Used Dataset -- 4.2 Programming Tools -- 4.3 Evaluation -- 5 Illustration of the Obtained Results -- 6 Discussion -- 7 Conclusion and Future Suggestions -- References. , Optimisation and Prediction of Glucose Production from Oil Palm Trunk via Simultaneous Enzymatic Hydrolysis -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Material -- 2.2 Preparation of Immobilized Beads of Enzymes -- 2.3 Extraction of Starch and Enzymatic Hydrolysis -- 2.4 Experimental Design and Statistical Analysis by Response Surface Methodology (RSM) -- 2.5 Glucose Prediction by RSM and Artificial Neuron Network (ANN) -- 3 Result and Discussion -- 3.1 Morphology of Immobilised Enzymes -- 3.2 Hydrolysis Performance of Immobilised Enzymes -- 3.3 Prediction of Glucose Production -- 3.3.1 RSM Modelling -- 3.3.2 ANN Modelling -- 3.3.3 Comparison of Fitting Results -- 4 Conclusion -- Acknowledgement -- References -- Synthetic Data Augmentation of Cycling Sport Training Datasets -- 1 Introduction -- 2 Problem Statement -- 2.1 Data Augmentation -- 2.2 Basics of Cycling Training -- 3 Proposed Method -- 4 Experimental Results -- 5 Conclusion -- References -- Hybrid Pooling Based Convolutional Neural Network for Multi-class Classification of MR Brain Tumor Images -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Benchmark Data Set -- 2.2 Hybrid Pooling Based CNN Architecture -- 2.2.1 Hybrid Pooling -- 2.3 Model Validation -- 3 Results and Performance Analysis -- 4 Conclusion -- References -- Importance of Fuzzy Logic in Traffic and Transportation Engineering -- Abstract -- 1 Introduction -- 1.1 What is the Need to Use Fuzzy Logic? -- 1.2 Objectives -- 2 Motivation and Reason for Choosing Goa as the Study Area -- 3 History of Fuzzy Logic -- 4 Literature Review -- 5 Main Focus of the Paper Along with Issues and Problems -- 6 Architecture of the System of Fuzzy Logic -- 7 Methodology -- 8 Membership Function in Fuzzy Logic -- 9 Fuzzy Control -- 10 Applications of the System of Fuzzy Logic -- 11 Result and Discussion. , 12 Major Advantages of Fuzzy Logic -- 13 Major Disadvantages of Fuzzy Logic -- 14 Conclusion -- References -- A Fuzzy Based Clustering Approach to Prolong the Network Lifetime in Wireless Sensor Networks -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Modified LEACH Protocol Design -- 3.1 Network Model -- 3.2 Design of Fuzzy Logic Controller (FLC) -- 3.3 Operation of the Modified LEACH Protocol -- 4 Simulation Results -- 5 Conclusions -- References -- Visual Expression Analysis from Face Images Using Morphological Processing -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 4 Methodology -- 4.1 Face Detection -- 4.2 Pre-processing -- 4.2.1 Cropping and Augmentation -- 4.2.2 Morphological Processing -- 4.3 Classical Machine Learning Approaches -- 4.4 Deep Learning (CNN) Approach -- 5 Result Analysis -- 6 Visualization -- 7 Conclusion and Future Work -- References -- Detection of Invertebrate Virus Carriers Using Deep Learning Networks to Prevent Emerging Pandemic-Prone Disease in Tropical Regions -- Abstract -- 1 Introduction -- 2 Related Work -- 2.1 Wing GeometricMorphometric -- 2.2 Convolutional Neural Networks -- 2.3 Convolutional Layers -- 2.4 Fully Connected Layers -- 3 Methodology -- 4 Implementation -- 5 Experimental Results -- 6 Conclusion -- Acknowledgement -- References -- Classification and Detection of Plant Leaf Diseases Using Various Deep Learning Techniques and Convolutional Neural Network -- Abstract -- 1 Introduction -- 2 Related Works -- 3 Research Methodology -- 3.1 Dataset -- 3.2 Measurement of Performance -- 3.3 Approach -- 3.4 Results -- 4 Conclusion -- References -- Deep Learning and Machine Learning Applications -- Distributed Self-triggered Optimization for Multi-agent Systems -- 1 Introduction -- 2 Preliminaries and Graph Theory -- 3 System Model -- 4 Distributed Event-Triggered Algorithm. , 5 Distributed Self-triggered Algorithm -- 5.1 Communication Delays -- 6 Numerical Example -- 7 Conclusion -- References -- Automatic Categorization of News Articles and Headlines Using Multi-layer Perceptron -- 1 Introduction -- 2 Related Work -- 3 News Corpus Development -- 3.1 Data Statistics -- 4 News Classification Framework -- 4.1 Data Preprocessing -- 4.2 Word Embedding -- 4.3 Classifier Model Generation -- 4.4 Prediction -- 5 Experiments -- 6 Results Analysis -- 7 Comparison with Existing Approaches -- 8 Error Analysis -- 9 Conclusion -- References -- Using Machine Learning Techniques for Estimating the Electrical Power of a New-Style of Savonius Rotor: A Comparative Study -- Abstract -- 1 Introduction -- 2 Experimental Data -- 3 Prediction Methods -- 4 Results and Discussions -- 4.1 Artificial Models -- 4.2 Performance Evaluation of Empirical Models for Testing Data -- 5 Conclusions -- References -- Tree-Like Branching Network for Multi-class Classification -- 1 Introduction -- 2 Relation to Prior Work -- 2.1 Multi-task Learning -- 2.2 Knowledge Distillation -- 2.3 Neural Trees -- 3 Method -- 3.1 Problem Setup -- 3.2 Step 1: Class Relationship from Trained Networks -- 3.3 Step 2: Building Branching Networks -- 3.4 Step 3: Training with Knowledge Distillation -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Datasets and Experimental Results -- 5 Conclusion -- References -- Multi-resolution Dense Residual Networks with High-Modularization for Monocular Depth Estimation -- Abstract -- 1 Introduction -- 2 Three Layered Regular Modules for Multi-resolution DNN -- 3 High-Modularized Multi-resolution Architecture -- 4 Experiments -- 5 Conclusion -- Acknowledgments -- References -- A Decentralized Federated Learning Paradigm for Semantic Segmentation of Geospatial Data -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Algorithm. , 3.2 Model -- 3.3 Loss Function and Evaluation Metrics -- 4 Experiments -- 4.1 Dataset -- 4.2 Implementation and Results -- 5 Conclusion -- References -- Development of Contact Angle Prediction for Cellulosic Membrane -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 Data Collection -- 2.2 Model Development -- 3 Result and Discussion -- 3.1 Effect of Filtration Process -- 3.2 Effect of Neuron Size and TVT Data Split -- 3.3 Optimization via Normality Approach -- 4 Conclusion -- Acknowledgments -- References -- Feature Engineering Based Credit Card Fraud Detection for Risk Minimization in E-Commerce -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Data Preprocessing Module -- 2.3 Feature Selection -- 2.4 Applying Machine Learning Techniques -- 3 Performance Evaluation -- 4 Conclusion and Future Work -- References -- DCNN-LSTM Based Audio Classification Combining Multiple Feature Engineering and Data Augmentation Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Data Augmentation -- 2.2 Spectral Feature Extraction -- 2.3 Deep CNN-LSTM Model Architecture -- 3 Results -- 4 Conclusion -- References -- Sentiment Analysis: Developing an Efficient Model Based on Machine Learning and Deep Learning Approaches -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Sentiment Analysis Process -- 4 The Proposed Sentiment Analysis Model -- 5 Experimental Work -- 5.1 Used Dataset -- 5.2 Programming Tools -- 5.3 Evaluation -- 5.4 The Obtained Results -- 6 Discussion -- 7 Comparison Between ML and DL Approaches -- 8 Conclusion and Future Suggestions -- References -- Improved Face Detection System -- Abstract -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Input Image -- 3.2 Contrast Stretching -- 3.3 Extract Facial Part -- 3.4 Extract Features -- 3.5 SVM Classifier -- 4 Result and Analysis -- 5 Conclusion and Future Works -- References. , Paddy Price Prediction in the South-Western Region of Bangladesh.