Communication and intelligent systems : proceedings of ICCIS 2020 / / Harish Sharma [and three others] editors

• Pubblicazione: Singapore : , : Springer, , [2021]; ©2021
• Descrizione fisica: 1 online resource (1036 pages)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Machine learning; Telecommunication systems
• Persona (resp. second.): SharmaHarish
• Nota di contenuto: Intro -- Preface -- Contents -- Editors and Contributors -- Neural Network Imitation Model of Realization of the Business Analysis Process -- 1 Introduction -- 2 Analysis of Recent Research and Publications -- 3 Setting the Objective -- 4 The Case Study -- 5 Research Method -- 6 Conclusions -- References -- Thermal Modeling of the GaN HEMT Device Using Decision Tree Machine Learning Technique -- 1 Introduction -- 2 Experimental Setup -- 3 Device Modeling Using Machine Learning -- 4 Results -- 5 Conclusion -- References -- Low-Cost FPGA-Based On-board Computer -- 1 Introduction -- 2 Related Work -- 3 Proposed Work -- 4 Results and Simulations -- 5 Conclusion -- References -- A Survey on Solution of Imbalanced Data Classification Problem Using SMOTE and Extreme Learning Machine -- 1 Introduction -- 2 Imbalanced Data -- 2.1 Approaches to Overcome Class Imbalance -- 2.2 Advantages and Disadvantages of the Approaches -- 3 Synthetic Minority Over-sampling Technique -- 4 Extreme Learning Machine (ELM) -- 4.1 Variants of ELM -- 5 Machine Learning -- 5.1 ML Techniques -- 6 Convolutional Neural Network (CNN) -- 7 Related Work -- 8 Conclusion -- References -- Thermal Imaging-Assisted Infection Classification (BoF) for Brinjal Crop -- 1 Introduction -- 2 Motivation -- 3 Material and Methods -- 3.1 Experimental Setup -- 3.2 Proposed Methodology -- 3.3 Classification: BoF -- 4 Result and Discussion -- 5 Conclusion -- References -- Preterm Delivery Prediction Using Gradient Boosting Algorithms -- 1 Introduction -- 2 Related Work -- 3 Backgrounds -- 4 Result and Discussion -- 5 Conclusions -- References -- Analysis Urban Traffic Vehicle Routing Based on Dijkstra Algorithm Optimization -- 1 Introduction -- 2 Related Work -- 2.1 Dijkstra Algorithm -- 2.2 Algorithm Optimization -- 3 Model Construction -- 4 Results and Discussion -- 5 Conclusion -- References. ; A Comprehensive Overview of Quality Enhancement Approach-Based Biometric Fusion System Using Artificial Intelligence Techniques -- 1 Introduction -- 2 Background Survey -- 3 Biometric Quality Enhancement -- 4 Analysis of Existing Work -- 5 Conclusion and Future Work -- References -- Rainfall Prediction Using Deep Neural Network -- 1 Introduction -- 2 Methodology -- 3 Data and Data Pre-processing -- 3.1 Data Set -- 3.2 Data Pre-processing -- 3.3 Data Insight -- 3.4 Train-Test Split -- 3.5 Feature Scaling -- 4 Deep Neural Network Model -- 5 Result and Conclusion -- 5.1 Weights and Bias -- 5.2 Training and Validation: Loss and Accuracy -- 5.3 Test Loss and Test Accuracy -- 5.4 Comparative Analysis -- 6 Conclusion -- References -- A Comparative Analysis of Supervised Word Sense Disambiguation in Information Retrieval -- 1 Introduction -- 2 WSD Approaches -- 3 Supervised WSD for IR -- 3.1 Naïve Bayes Algorithm -- 3.2 Support Vector Machine (SVM) Algorithm -- 3.3 Decision Tree Algorithm -- 3.4 K-Nearest Neighbor (KNN) Algorithm -- 4 Comparison of Algorithms -- 5 Discussion -- 6 Conclusion -- References -- Real-Time Deep Learning Face Mask Detection Model During COVID-19 -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Algorithm -- 3.2 Dataset -- 4 Implementation -- 5 Conclusion -- References -- Prediction of California Bearing Ratio of Subgrade Soils Using Artificial Neural Network Principles -- 1 Introduction -- 2 Materials -- 2.1 Particle Sizes -- 2.2 Plasticity Characteristics -- 2.3 Compaction Characteristics -- 2.4 California Bearing Ratio (CBR) -- 3 Artificial Neuron Network -- 4 Results and Discussion -- 5 Conclusions -- References -- Real-Time Bangladeshi Currency Recognition Using Faster R-CNN Approach for Visually Impaired People -- 1 Introduction -- 2 Related Works -- 3 System Design -- 4 Dataset Developing and Training. ; 5 Currency Recognition via Faster R-CNN -- 6 Results and Discussions -- 7 Conclusions -- References -- Bearing Fault Detection Using Comparative Analysis of Random Forest, ANN, and Autoencoder Methods -- 1 Introduction -- 2 Related Work -- 3 Algorithms -- 3.1 Random Forest Classification -- 3.2 Artificial Neural Network -- 3.3 Autoencoder -- 4 Proposed Methodology -- 4.1 Dataset Description -- 4.2 Methodology -- 5 Results and Discussion -- 5.1 Random Forest Classification -- 5.2 Artificial Neural Network -- 5.3 Autoencoder -- 5.4 Comparing the Various Models -- 6 Conclusion -- References -- Selection of a Mesh Network Routing Protocol for Underground Mines -- 1 Introduction -- 2 Literature Review -- 2.1 Current Networking Methods Used in Mines -- 2.2 Similar Work on Selecting WMN Routing Protocols for Underground Mines -- 2.3 Wireless Mesh Network Routing Protocols -- 3 Setup and Procedure -- 3.1 Setup -- 3.2 Procedure -- 3.3 Equipment and Software -- 3.4 Requirements -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- An Energy-Efficient Communication Scheme for Multi-robot Coordination Deployed for Search and Rescue Operations -- 1 Introduction -- 2 Related Works -- 3 Proposed System -- 3.1 Publisher Robots -- 3.2 Subscriber Robots -- 3.3 Coordinator Robot -- 4 Implementation -- 5 Results and Discussion -- 6 Conclusion -- References -- Butterfly Optimization Algorithm-Based Optimal Sizing and Integration of Photovoltaic System in Multi-lateral Distribution Network for Interoperability -- 1 Introduction -- 2 Literature Review -- 3 Problem Formulation -- 4 Overview of Butterfly Optimization Algorithm -- 4.1 Modelling of Food Foraging Behaviour of Butterflies -- 4.2 Proposed Methodology for Optimal I-PV Configuration -- 5 Results and Discussion -- 6 Conclusion -- References. ; Document Classification in Robotic Process Automation Using Artificial Intelligence-A Preliminary Literature Review -- 1 Introduction -- 2 Robotic Process Automation -- 3 Document Classification Process -- 3.1 Conversion of Files with Various Formats to Text and Conversion of PDF Files to a Structured Format -- 3.2 Alternative Approach to Converting PDFs to a Structured Format -- 3.3 Preprocessing of the Inference Process for Classifying Documents -- 3.4 Execution of the Inference Process in the Classification of Documents -- 3.5 Artificial Intelligence Application -- 4 Discussion -- 5 Conclusions -- References -- Artificial Intelligence Optimization Strategies for Invoice Management: A Preliminary Study -- 1 Introduction -- 2 AI Techniques -- 2.1 Computer Vision -- 2.2 Optical Character Recognition -- 2.3 Natural Language Processing -- 2.4 Machine Learning -- 3 Invoice Improvement Strategies -- 3.1 Robotic Process Automation Tools -- 3.2 Recently Researched Optimization Strategies -- 4 Analysis -- 5 Conclusion -- References -- A Comparative Study Between Data-Based Approaches Under Earlier Failure Detection -- 1 Introduction -- 2 Data Set and System Description -- 3 Experimental Results and Discussion -- 4 Conclusion -- References -- Survey Analysis for Medical Image Compression Techniques -- 1 Introduction -- 1.1 Motivation -- 1.2 Existing Solutions -- 1.3 Evaluation and Analysis -- 1.4 Paper Organization -- 2 Lossy Compression for Medical Images -- 2.1 Fractal-Based Compression Technique -- 2.2 Wavelet Transform-Based Compression Technique -- 2.3 Lossy Approaches Based on ROI and Non-ROI -- 2.4 Other Lossy Approaches -- 3 Lossless Compression for Medical Images -- 3.1 Adaptive Block Size-Based Compression Technique -- 3.2 Least Square-Based Compression Technique -- 3.3 Other Lossless Approaches -- 4 Analysis and Evaluation -- 5 Conclusion. ; References -- Performance Evaluation of SEIG Under Unbalanced Load Operations Using Genetic Algorithm -- 1 Introduction -- 2 Machine Modeling -- 3 Genetic Algorithm as an Optimization Tool -- 4 Performance Equations -- 5 Results and Discussion -- 5.1 Effect on SEIG Under Variation in Load Power Factor of One Phase -- 5.2 Effect on SEIG Under Variation in Load Power Factor of Two Phases -- 6 Conclusion -- References -- Suppliers Selection Using Fuzzy AHP and Fuzzy TOPSIS Method-A Case Study of a Bearing Manufacturing Company -- 1 Introduction -- 2 Methodology: Fuzzy Logic Approach -- 2.1 Fuzzy Set-Theory -- 2.2 Definitions of Fuzzy Sets -- 3 Case Study -- 3.1 Introduction of the Company -- 3.2 Current Supplier Selection Method -- 3.3 Supplier Selection Criteria Description -- 3.4 Solution of Supplier Selection Problem Using FUZZY AHP and FUZZY TOPSIS Method -- 4 Conclusion -- References -- A New Approach to Classify the Boolean Functions Based on Heuristic Technique -- 1 Introduction -- 2 Related Definitions -- 2.1 Boolean Function -- 2.2 Hamming Distance -- 2.3 Walsh-Hadamard Transform -- 2.4 Nonlinearity of Boolean Function (f) -- 3 Our Approach for Classification -- 4 Results and Discussion -- 5 Conclusion -- References -- Influence of Object-Oriented Software Design Measures on Reliability: Fuzzy Inference System Perspective -- 1 Introduction -- 2 Related Work -- 3 Object-Oriented Design Measures -- 3.1 Inheritance Metrics (IMc) -- 3.2 Encapsulation Metric (EM) -- 3.3 Cohesion Metric (CoMc) -- 4 Analysis Phase -- 4.1 Sensitivity Analysis -- 4.2 Design Metrics Analysis -- 5 Conclusion -- References -- Test Case Prioritization Based on Requirement -- 1 Introduction -- 2 Test Case Prioritization -- 3 Proposed Methodology -- 4 Results and Validation -- 5 Conclusion -- References. ; Mining and Predicting No-Show Medical Appointments: Using Hybrid Sampling Technique.
• Titolo autorizzato: Communication and intelligent systems
• ISBN: 981-16-1089-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910488716503321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture notes in networks and systems ; ; Volume 204.