Advances on intelligent informatics and computing : health informatics, intelligent systems, data science and smart computing / / Faisal Saeed, Fathey Mohammed, and Fuad Ghaleb

• Autore: Saeed Faisal
• Pubblicazione: Cham, Switzerland : , : Springer, , [2022]; ©2022
• Descrizione fisica: 1 online resource (793 pages)
• Disciplina: 006.312
• Soggetto topico: Data mining; Data mining - Data processing
• Persona (resp. second.): MohammedFathey; GhalebFuad
• Nota di contenuto: Intro -- Preface -- Organization -- IRICT 2021 Organizing Committee -- International Advisory Board -- Conference General Chair -- Program Committee Chair -- General Secretary -- Technical Committee Chair -- Publications Committee -- Publicity Committee -- IT & -- Multimedia Committee -- Treasure Registration Committee Chair -- International Technical Committee -- Contents -- Artificial Intelligence -- Automatic Saudi Arabian License Plate Detection and Recognition Using Deep Convolutional Neural Networks -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 License Plate Detection Phase -- 3.2 Image Pre-processing Phase -- 3.3 Character Segmentation and Recognition Phase -- 4 Implementation and Experiments -- 4.1 Dataset Collection and Labeling -- 4.2 Faster-RCNN-Based LP Detection -- 4.3 Image Preprocessing -- 4.4 LP Segmentation and Recognition -- 5 Conclusion and Future Work -- References -- Ship Detection Approach Using Machine Learning Algorithms -- 1 Introduction -- 2 Background and Related Work -- 3 Proposed Methodology -- 4 Results and Discussion -- 4.1 Dataset -- 4.2 Results -- 5 Conclusions -- References -- A New Deep Learning System for Wild Plants Classification and Species Identification: Using Leaves and Fruits -- 1 Introduction -- 2 Review of Related Literatures -- 3 Description of the Implemented Techniques -- 4 Empirical Studies -- 4.1 Description of Dataset -- 4.2 Dataset Analysis -- 4.3 Feature's Extraction -- 5 Proposed Models and Results -- 5.1 Families Classification (Binary Classification) -- 5.2 Species Identification (Categorical Classification) -- 6 Conclusion and Recommendation for the Future Work -- References -- A Novel Weighted Fractional TDGM Model and Quantum Particle Swarm Optimization Algorithm for Carbon Dioxide Emissions Forecasting -- 1 Introduction -- 2 Materials and Methods. ; 2.1 The Weighted Fractional Accumulation Generating Operator and Their Inverse -- 2.2 The Weighted of Fractional-Order of TDGM Model -- 2.3 Quantum Particle Swarm Optimization Algorithm Weighted of Fractional-Order of WFGM Model -- 3 Experiment Results -- 4 Conclusions -- References -- Text Detergent: The Systematic Combination of Text Pre-processing Techniques for Social Media Sentiment Analysis -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Phase 1 -- 3.2 Phase 2 -- 3.3 Phase 3 -- 4 Results -- 4.1 Phase 4 -- 5 Discussion -- 6 Conclusion -- References -- Improve Short-term Electricity Consumption Forecasting Using a GA-Based Weighted Fractional Grey Model -- 1 Introduction -- 2 The Weighted Fractional Accumulated Generating Matrices and Their Inverse Matrices -- 3 The Weighted of Fractional-Order Grey Model -- 4 Genetic Algorithm for Determining the Optimal Value of Fractional Order of WFGM Model -- 5 Experiment Results -- 5.1 Performance Measures -- 5.2 Obtained Results and Comparison -- 6 Conclusion -- References -- Efficient Human Activity Recognition System Using Long Short-Term Memory -- 1 Introduction -- 2 Related Work -- 3 Data Acquisition -- 4 Pre-processing -- 5 Architecture -- 6 Results -- 7 Conclusions -- References -- Job Training Recommendation System: Integrated Fuzzy AHP and TOPSIS Approach -- 1 Introduction -- 2 Research Method -- 3 Results and Discussion -- 3.1 Criteria and Sub-criteria Analysis -- 3.2 Criteria and Sub-criteria Analysis -- 3.3 Criteria and Sub-criteria Analysis -- 4 Conclusion -- References -- Improvement of Population Diversity of Meta-heuristics Algorithm Using Chaotic Map -- 1 Introduction -- 2 Review of Literature -- 2.1 Particle Swarm Optimization (PSO) -- 2.2 Inertia Weight -- 2.3 Chaotic Logistic Map -- 3 Methodology -- 4 Result and Discussion. ; 4.1 Comparison of NFE, Mean Fitness Value and Standard Deviation for Proposed CHPSO and Other Algorithms -- 5 Conclusion -- References -- Adaptive and Global Approaches Based Feature Selection for Large-Scale Hierarchical Text Classification -- 1 Introduction -- 2 Literature Review -- 2.1 Hierarchical Classification (HC) -- 2.2 Dimensional Reduction (DR) -- 2.3 Feature Selection Approaches -- 3 Material and Methods -- 3.1 Hierarchical Classification Method -- 3.2 Information Gain Method -- 3.3 Chi-square Method -- 3.4 Adaptive and Global Approaches -- 4 Dataset and Experiment Settings -- 5 Results Analysis -- 6 Conclusion -- References -- Ensemble Method for Online Sentiment Classification Using Drift Detection-Based Adaptive Window Method -- 1 Introduction -- 2 Related Works -- 3 Proposed Ensemble Method for Sentiment Classification Using DDAW -- 3.1 Drift Detection Component -- 3.2 Ensemble Method for Sentiment Classification Using DDAW -- 4 Experimental Results and Discussions -- 4.1 Performance of the Different DDAW Versions -- 4.2 Performance Comparison with Existing Methods -- 5 Conclusion -- References -- Rainfall Forecasting Using the Group Method of Data Handling Model: A Case Study of Sarawak, Malaysia -- 1 Introduction -- 2 The Group Method of Data Handling Model -- 3 Methods -- 3.1 Dataset -- 3.2 Experimental Results -- 4 Conclusion -- References -- Detecting Public Outlook Towards Vaccination Using Machine Learning Approaches: A Systematic Review -- 1 Introduction -- 2 Theoretical Background -- 3 Systematic Review -- 3.1 Machine Learning Models -- 3.2 Deep Learning Models -- 3.3 Ensemble Learning Models -- 4 Systematic Review Results -- 5 Conclusion -- References -- Forecasting Carbon Dioxide Emission for Malaysia Using Fractional Order Multivariable Grey Model -- 1 Introduction -- 2 Methodology. ; 2.1 Fractional Order Multivariable Grey, FAGM (1,N) Model -- 2.2 Forecast Accuracy Measurement -- 2.3 Conceptual Framework -- 3 Result and Discussion -- 4 Conclusion -- References -- A Hybrid Algorithm for Pattern Matching: An Integration of Berry-Ravindran and Raita Algorithms -- 1 Introduction -- 1.1 Problem Statement -- 2 Related Studies -- 3 Materials and Methods -- 3.1 Hybrid Algorithm Pre-processing Phase -- 3.2 Hybrid Algorithm Searching Phase -- 4 Analysis -- 4.1 Lemma 1: The Worst-Case Scenario with Respect to Time Complexity is Defined as O(Mn). -- 4.2 Lemma 2: The Best-Case Scenario with Respect to Time Complexity is O(N/(M + 2)). -- 4.3 Evaluation -- 5 Results -- 6 Discussion -- 7 Conclusion -- References -- A Survey of the Hybrid Exact String Matching Algorithms -- 1 Introduction -- 2 String Matching Algorithms -- 2.1 Exact String Matching Algorithm -- 2.2 Approximate String Matching Algorithm -- 3 Evaluation Approaches -- 4 Review on Hybrid Algorithms -- 4.1 Berry-Ravindran Hybrid Algorithm -- 4.2 SSABS Hybrid Algorithm -- 4.3 FJS Hybrid Algorithm -- 4.4 TVSBS Hybrid Algorithm -- 4.5 BMBR Hybrid Algorithm -- 4.6 ZTBMH Hybrid Algorithm -- 4.7 BRFS Hybrid Algorithm -- 4.8 BRBMH Hybrid Algorithm -- 4.9 BRQS Hybrid Algorithm -- 4.10 ZTFS Hybrid Algorithm -- 4.11 RSMA-BR Hybrid Algorithm -- 4.12 ShiftAndBMS Hybrid Algorithm -- 4.13 BRSS Hybrid Algorithm -- 4.14 BHAC Hybrid Algorithm -- 4.15 KMPBS Hybrid Algorithm -- 5 Discussion -- 6 Conclusion -- References -- Data Science -- C-SAR: Class-Specific and Adaptive Recognition for Arabic Handwritten Cheques -- 1 Introduction -- 2 Related Work -- 3 Adaptive Recognition for Arabic Handwritten Cheques -- 3.1 Angular Feature Extraction Method -- 3.2 Arabic Numbers -- 3.3 Class-Specific Taxonomy of Arabic Cheque Words -- 3.4 Machine Learning Models -- 4 Experiment Results -- 5 Conclusion. ; Appendix A -- Appendix B -- Appendix C -- References -- Extraction of Spatiotemporal Association Rules for Forest Fires Prediction -- 1 Introduction -- 2 Spatiotemporal Association Rule -- 3 Extraction of Spatiotemporal Association Rules Process -- 3.1 Pretreatment -- 3.2 Algorithm and Interest Measures Used -- 3.3 Post-treatment -- 4 Experimental Design -- 5 Association Rules Obtained and Interpretation -- 6 Conclusion -- References -- Opinion Mining Using Topic Modeling: A Case Study of Firoozeh Dumas's Funny in Farsiin Goodreads -- 1 Introduction -- 2 Literature Review -- 2.1 Social Media Mining -- 2.2 Topic Modelling -- 3 Methodology and Materials -- 4 Results -- 4.1 Text Normalization -- 4.2 Text Visualization -- 4.3 Topic Modeling -- 5 Discussion and Conclusion -- References -- Opinion Mining Using Sentiment Analysis: A Case Study of Readers' Response on Long Litt Woon's The Way Through the Woodsin Goodreads -- 1 Introduction -- 2 Literature Review -- 2.1 Social Media and Opinion Mining -- 2.2 Sentiment Analysis -- 3 Methodology and Materials -- 4 Analysis and Results -- 4.1 Text Exploration and Visualization -- 4.2 Sentiment Analysis Results Using VADER and TextBlob -- 5 Discussion -- 6 Conclusion -- References -- Opinion Mining of Readers' Responses to Literary Prize Nominees on Twitter: A Case Study of Public Reaction to the Booker Prize (2018-2020) -- 1 Introduction -- 2 Literature Review -- 2.1 Topic Modelling -- 2.2 Sentiment Analysis -- 2.3 Clustering -- 3 Materials and Methodology -- 4 Results and Discussion -- 4.1 Topic Modelling -- 4.2 Sentiment Analysis -- 4.3 Clustering -- 5 Conclusion -- References -- Dictionary-Based DGAs Variants Detection -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Dictionary-Based DGAs -- 3.2 Extracted Features -- 3.3 Data Sets and Classifiers -- 3.4 Feature Selection. ; 4 Results and Discussion.
• Titolo autorizzato: Advances on Intelligent Informatics and Computing
• ISBN: 3-030-98741-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910556881203321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes on Data Engineering and Communications Technologies