Advances in Intelligent Computing and Communication : Proceedings of ICAC 2021 / / edited by Mihir Narayan Mohanty, Swagatam Das

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (570 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Mobile computing; Quantitative research; Telecommunication; Computational Intelligence; Artificial Intelligence; Mobile Computing; Data Analysis and Big Data; Communications Engineering, Networks
• Persona (resp. second.): MohantyMihir Narayan; DasSwagatam
• Nota di contenuto: Intro -- Preface -- Contents -- Editors and Contributors -- An Unsupervised Learning Approach Towards Credit Risk Modelling Using DFT Features and Gaussian Mixture Models -- 1 Introduction -- 2 Previous Works -- 3 Methodology -- 4 Experiments, Results, and Discussion -- 5 Conclusion -- References -- Human Activity Detection-Based Upon CNN with Pruning and Edge Detection -- 1 Introduction -- 2 Literature Survey -- 3 Problem Definition -- 4 Methodology of Work -- 5 Performance Analysis and Results -- 6 Conclusion and Future Scope -- References -- Improvement in Breast Cancer Detection Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Method Used -- 4 Proposed Methodology -- 5 Data -- 5.1 Channels -- 5.2 Initialization -- 6 Results -- 7 Conclusion -- References -- Measure to Tackle Forest Fire at Early Stage Using Applications of IoT -- 1 Introduction -- 2 Literature Survey -- 3 Problem Definition -- 4 Proposed Model -- 4.1 Data Accumulation Layer -- 4.2 Data Pre-processing Layer -- 4.3 Categorization Layer -- 4.4 Cloud Layer -- 4.5 Event Classification -- 5 Performance Analysis and Results -- 6 Conclusion and Future Scope -- References -- Start and Stop Policy for Smart Vehicles Using Application of IoT -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion and Future Scope -- References -- Fake News Detection Using Lightweight Machine Learning Models -- 1 Introduction -- 2 Related Work -- 3 Experiment and Result Analysis -- 3.1 Performance of SVM Model -- 3.2 Performance of Logistic Regression Model -- 3.3 Performance of Decision Tree Model -- 3.4 Performance of Neural Network -- 3.5 Result -- 4 Conclusions -- References -- A Comparative Analysis of Regression Approaches for Prediction of COVID-19 Active, Recovered, and Death Cases in India -- 1 Introduction -- 2 Related Work. ; 3 Related Concepts -- 3.1 Random Forest Regression -- 3.2 Multiple Regression -- 4 Experimental Setup -- 4.1 Preparation of Dataset -- 4.2 Data Preprocessing -- 4.3 Visualization -- 4.4 Performance Calculation -- 5 Results -- 6 Conclusion -- References -- Energy Configuration Management Framework Using Automated Data Mining Algorithm -- 1 Introduction -- 1.1 Energy Conservation -- 1.2 Introduction to Data Mining and K-Means Clustering and R Programming -- 2 Literature Review -- 3 Present Works -- 3.1 Description of the System -- 4 Methodology and Results -- 5 Conclusions -- References -- Lecture Notes in Computer Science: Pathological Voice Recognition Based on Acoustic Phonatory Features -- 1 Introduction -- 1.1 Types of Voice Disorders -- 2 Related Work -- 2.1 Research Gaps Identified -- 3 Methodology -- 3.1 Preprocessing -- 3.2 Feature Extraction -- 3.3 Classification -- 3.4 Steps in Voice Pathology Recognition Process -- 4 Results and Discussions -- 5 Conclusion -- References -- Analog/RF Performance Analysis of Downscaled Cylindrical Gate Junctionless Graded Channel MOSFET -- 1 Introduction -- 2 Device Architecture and Simulation Model -- 3 Result Analysis -- 4 Conclusion -- References -- Process Design to Self-extract Text from Images for Similarity Check -- 1 Introduction -- 2 Proposed Document Processing Approach -- 2.1 Proposed Approach -- 3 Experimental Results and Discussions -- 4 Conclusion -- References -- Enactment Assessment of Machine Learning Model for Chronic Disease (Dysrhythmia) Using an Consistent Attributes and KNN Algorithm -- 1 Introduction -- 1.1 Narration of the Dataset -- 1.2 Data Preprocessing -- 1.3 Splitting the Data -- 2 Related Works -- 3 Proposed Techniques -- 3.1 Selection of Dataset -- 3.2 Methodology -- 3.3 Estimation of ML Algorithms -- 4 Result and Analysis -- 5 Conclusion -- References. ; Data Classification by Ensemble Methods in Machine Learning -- 1 Introduction -- 2 Review of Literature -- 3 Overview of Algorithms -- 3.1 K-NN Algorithm -- 3.2 Decision Tree Algorithm -- 4 Experimental Setup and Result Analysis -- 5 Conclusion -- References -- Image Caption Generator Using Machine Learning and Deep Neural Networks -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Image Caption Generator -- 3.1 System Architecture -- 3.2 Object Detection -- 3.3 Sentence Generation -- 3.4 Working -- 4 Methodology -- 4.1 Feature Extraction -- 4.2 Encoder -- 4.3 Decoder -- 5 Experimental Results -- 6 Conclusion -- References -- Power Quality Issues Mitigation in an AC Microgrid Through Bayesian Regularization Algorithm-Trained Artificial Neural Network -- 1 Introduction -- 2 System Modeling -- 2.1 Dstatcom -- 3 Results and Discussion -- 4 Conclusion -- References -- Rectified Adam Optimizer-Based CNN Model for Speaker Identification -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 4 Experimental Setups -- 4.1 Dataset Description -- 4.2 Training Details -- 5 Experiments and Analysis of the Results -- 6 Conclusion -- References -- Fault Classification in Transmission Line Using Empirical Mode Decomposition and Support Vector Machine -- 1 Introduction -- 2 Empirical Mode Decomposition -- 3 Feature Extraction -- 4 Support Vector Machine -- 5 System Under Study -- 6 Simulation and Results -- 7 Conclusion -- References -- Adaptive Grey wolf Optimization Algorithm with Gaussian Mutation -- 1 Introduction -- 2 Proposed Adaptive Grey Wolf Optimization Algorithm (AGWO) -- 2.1 Encircling Prey -- 2.2 Hunting -- 2.3 Attacking Prey -- 2.4 Gaussian Mutation -- 3 Discussion on Experimental Finding -- 4 Conclusion -- References -- A Study on Apodization Profiles of Fiber Bragg Gratings -- 1 Introduction -- 2 Theory -- 3 Modeling -- 4 Discussions. ; 5 Conclusion -- References -- Analysis on Polycystic Ovarian Syndrome and Comparative Study of Different Machine Learning Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Research Methodology -- 3.1 KNN (K-Nearest Neighbors Algorithm): -- 3.2 Linear Regression -- 3.3 K-means Clustering -- 3.4 Support Vector Machine (SVM) -- 4 Result -- 5 Conclusion -- References -- Area and Energy Optimized QCA-Based Binary to Gray Code Converters -- 1 Introduction -- 2 Related Work -- 3 Basics of QCA -- 4 Design Theory and Implementation -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Sentiment Analysis on COVID-19 Tweeter Dataset -- 1 Introduction -- 2 Literature Review -- 3 Dataset and Data Preprocessing -- 4 Result and Discussion -- 5 Conclusion -- References -- Developing Arithmetic Optimization Algorithm for Travelling Salesman Problem -- 1 Introduction -- 2 Literature Survey -- 3 Arithmetic Optimization Algorithm -- 4 Objective Function -- 5 Results and Discussions -- 5.1 Experimental Setup -- 5.2 Convergence Analysis -- 5.3 Performance Analysis of AOA -- 5.4 Computational Complexity -- 6 Conclusion -- References -- COVID-19 Chest X-ray Image Generation Using ResNet-DCGAN Model -- 1 Introduction -- 2 Related Work -- 3 Proposed Model -- 4 Experimental Setups -- 4.1 Dataset Description -- 4.2 Training Details -- 5 Experiments and Analysis of the Results -- 6 Conclusion -- References -- 25 A Framework for Segmentation of Characters and Words from In-Air Handwritten Assamese Text -- Abstract -- 1 Introduction -- 2 Proposed Approach -- 2.1 Text Segmentation -- 2.1.1 Spotting of Boundary Points of Text Components in an IAHT Sequence -- 2.1.2 Extraction of Valid Text Components and Elimination of External Ligatures -- 2.1.3 Segregation of Valid Components into Characters and Words -- 2.2 Post-Processing. ; 3 Experimental Results and Discussion -- 3.1 Spotting of Boundary Points and Extraction of Valid Components from an IAHT Sequence -- 3.2 Segregation of Character and Word Components and Post-Processing -- 3.3 Overall Segmentation Performance -- 4 Conclusion -- References -- Cybersecurity in Digital Transformations -- 1 Introduction -- 2 Problem Statement -- 3 Proposed Solution -- 4 Typesetting of Your Paper at Springer Case Studies -- 5 Conclusion -- References -- Comparison of Different Shapes for Micro-strip Antenna Design -- 1 Introduction -- 2 Design -- 3 Results and Discussion -- 4 Conclusion -- References -- Time and Frequency Domain Analysis of a Fractional-Order All-Pass Filter -- 1 Introduction -- 2 Theoretical Background of Fractional-Order Filter -- 3 Use of the Oustaloup Approximation Method to Analyze a Fractional-Order All-Pass Filter -- 3.1 Time Domain Analysis -- 3.2 Frequency Domain Analysis -- 4 Discussions -- 5 Conclusions -- References -- Cohort Selection using Mini-batch K-means Clustering for Ear Recognition -- 1 Introduction -- 2 Methods -- 3 Database Description and Experiment -- 4 Experimental Result and Analysis -- 5 Advantages and Disadvantages -- 6 Conclusion and Future Scope -- References -- A Hybrid Connected Approach of Technologies to Enhance Academic Performance -- 1 Introduction -- 2 Related Works -- 3 Proposed Methods and Materials -- 3.1 A Hybrid LMS System -- 3.2 Effect of Environment on Academic Performance -- 3.3 Block Chain Supported IoT-Based Attendance Monitoring System -- 4 Conclusion -- References -- Estimation of Path Loss in Wireless Underground Sensor Network for Soil with Chemical Fertilizers -- 1 Introduction -- 2 Classification of WUSNs and Deployment Strategies -- 3 Path Loss Estimation -- 4 Results and Discussion -- 5 Conclusions -- References. ; Molecular Communication via Diffusion-An Experimental Setup using Alcohol Molecule.
• Sommario/riassunto: The book presents high-quality research papers presented at 4th International Conference on Intelligent Computing and Advances in Communication (ICAC 2021) organized by Siksha ‘O’ Anusandhan, Deemed to be University, Bhubaneswar, Odisha, India, in November 2021. This book brings out the new advances and research results in the fields of theoretical, experimental, and applied signal and image processing, soft computing, networking, and antenna research. Moreover, it provides a comprehensive and systematic reference on the range of alternative conversion processes and technologies.
• Titolo autorizzato: Advances in Intelligent Computing and Communication
• ISBN: 981-19-0825-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910568274103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Networks and Systems, . 2367-3389 ; ; 430