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Advances on Intelligent Computing and Data Science : Big Data Analytics, Intelligent Informatics, Smart Computing, Internet of Things / / edited by Faisal Saeed, Fathey Mohammed, Errais Mohammed, Tawfik Al-Hadhrami, Mohammed Al-Sarem
Advances on Intelligent Computing and Data Science : Big Data Analytics, Intelligent Informatics, Smart Computing, Internet of Things / / edited by Faisal Saeed, Fathey Mohammed, Errais Mohammed, Tawfik Al-Hadhrami, Mohammed Al-Sarem
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (705 pages)
Disciplina 006.3
Collana Lecture Notes on Data Engineering and Communications Technologies
Soggetto topico Engineering - Data processing
Computational intelligence
Data Engineering
Computational Intelligence
ISBN 3-031-36258-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Opinion Mining on Paul W. S. Anderson’s Monster Hunter from Chinese Social Media Using Sentiment Analysis -- Kevin Kwan’s Crazy Rich Asians: Opinion Mining and Emotion Detection on Fans' Comments on Social Media -- Voltage Profile Improvement and Active Power Loss Reduction Through Network Reconfiguration Using Dingo Optimizer -- Machine Learning and Marketing Campaign: Innovative Approaches and Creative Techniques for Increasing Efficiency and Profit -- A Bottom-up 2-Stage Approach for Constructing Arabic Knowledge Graph -- Augmented Reality as a Learning Media to Improve Vocabulary Learning Among Preschoolers -- Towards the Prediction of Students’ Performance Using Educators’ Domain Knowledge -- Learners’ Performance Evaluation Using Genetic Algorithms -- Tomato Plant Leaf Disease Identification and Classification Using Deep Learning -- Using Deep Learning for the Detection of Ocular Diseases Caused by Diabetes -- Intelligent Chatbots for Electronic Commerce: A Customer Perspective -- A Hybrid Sentiment based SVM with Metaheuristic Algorithms for Cryptocurrency Forecasting -- A Comparison Study of Machine Learning Algorithms for Credit Risk Prediction -- Forecasting Tourist Arrivals using a Combination of Long Short-Term Memory and Fourier Series -- Age and Gender Classification from Retinal Fundus Using Deep Learning -- Heart Disease Prediction Using a group of Machine and Deep Learning Algorithms -- Tweet Recommendation System Based on TA Algorithm and Natural Language Processing -- Deep Learning Based for Cryptocurrency Assistive System.
Record Nr. UNINA-9910741146603321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances on smart and soft computing : proceedings of ICACIn 2020 / / Faisal Saeed [and three others]
Advances on smart and soft computing : proceedings of ICACIn 2020 / / Faisal Saeed [and three others]
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Gateway East, Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (XXI, 657 p. 260 illus., 207 illus. in color.)
Disciplina 004
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computer science
ISBN 981-15-6048-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimization of a Similarity Performance on Bounded Content of Motion Histogram by Using Distributed Model -- Automatic Detection of Diabetic Retinopathy using Custom CNN and Grad-CAM -- A Zero-Knowledge Identification Scheme Based on the Discrete Logarithm Problem and Elliptic Curves -- SMOTE-ENN Based Data Sampling and Improved Dynamic Ensemble Selection for Imbalanced Medical Data Classification -- Evaluation of Several Artificial Intelligence and Machine Learning Algorithms for Image Classification on Small Datasets -- Yemeni Paper Currency Recognition System Using Deep Learning Approach -- Tuning Hyper-Parameters of Machine Learning Methods for Improving the Detection of Hate Speech -- Performance Comparison of Machine Learning Techniques in Identifying Dementia from Open Access Clinical Datasets -- Clustering Analysis to Improve Web Search Ranking Using PCA and RMSE -- A Parallel Global TFIDF Feature Selection using Hadoop for Big Data Text Classification.
Record Nr. UNINA-9910484310903321
Gateway East, Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances on smart and soft computing : proceedings of ICACIn 2021 / / Faisal Saeed [and three others]
Advances on smart and soft computing : proceedings of ICACIn 2021 / / Faisal Saeed [and three others]
Pubbl/distr/stampa Singapore : , : Springer, , [2021]
Descrizione fisica 1 online resource (526 pages)
Disciplina 006.3
Collana Advances in Intelligent Systems and Computing
Soggetto topico Artificial intelligence - Safety measures
Artificial intelligence - Methodology
ISBN 981-16-5559-6
981-16-5558-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- ICACIN'21 Organizing Committee -- Preface -- Contents -- About the Editors -- Artificial Intelligence I -- Adaptive Learning Content Based on Learning Styles in Learning Management System -- 1 Introduction -- 2 Literature Review -- 2.1 Adaptive Content -- 2.2 Learning Style -- 2.3 Existing Personalization Taxonomy -- 2.4 Personalization Learning -- 3 Research Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- A Model-Based Approach for COVID-19 Propagation -- 1 Introduction -- 1.1 The Time-Dependent SIR Model -- 1.2 Differential Equation of Time-Dependent SIR Model -- 1.3 Estimation of β(t) and γ(t) Using L2 Regularization -- 1.4 Estimating the Model Parameters, (t) and (t) -- 1.5 The Basic Reproduction Number -- 2 Dataset -- 3 COVID-19 Exploratory Analysis -- 3.1 COVID-19 Cases in Morocco -- 4 Time Evolution of the Time-Dependent SIR Model -- 5 Conclusion and Future Work -- References -- Numerical Modeling of the Mechanical Behavior of Recycled Flexible PVC Loaded with Different Percentages of Chicken Feathers -- 1 Introduction -- 2 Numerical Study -- 2.1 Mesh and Geometry -- 3 Rho and Gamma Indicators -- 3.1 Mechanical Characteristics -- 4 Results and Discussion -- 5 Conclusion -- References -- Covid-19 Detection from Pneumonia Image Classification Using Deep Learning -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Covid-19 Dataset -- 3.2 Image Data Augmentation with Keras ImageDataGenerator -- 3.3 The Architectures Used for Transfer Learning: DenseNet121 and VGG16 -- 4 Experimental Results -- 5 Conclusion -- References -- Toward the Prediction of the Elasticity of Bio Loaded Polypropylene Using Artificial Neural Networks -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 2.3 Smart Methods -- 3 Results and Discussion -- 4 Conclusion -- References.
Post-COVID-19: Deep Image Processing AI to Analyze Social Distancing in a Human Community -- 1 Introduction -- 2 Related Works -- 3 Proposed Approach -- 3.1 Human Detection Step -- 4 Faster R-CNN Design -- 5 Results and Discussion -- 5.1 Phase I-Person Detection Step -- 5.2 Phase II-Distance Computation Step -- 6 Conclusion -- References -- Design and Implementation of ImALeG Serious Game: Behavior of Non-playable Characters (NPC) -- 1 Introduction -- 2 Related Works -- 3 Design and Implementation -- 3.1 ImALeG Virtual Reality Game -- 3.2 Fuzzy Finite-state Machine Design -- 4 Emotional Impact -- 5 Conclusion -- References -- Detection of Personality Traits Through Handwriting Analysis Using Machine Learning Approach -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 Scanning -- 3.2 Preprocessing -- 3.3 Line Segmentation -- 3.4 Feature Extraction -- 3.5 Classification and Analysis -- 4 Results and Discussion -- 4.1 Preprocessing -- 4.2 Line Segmentation -- 4.3 Feature Extraction -- 4.4 Classification and Analysis -- 4.5 Handwriting Analysis Application -- 5 Conclusion and Future Work -- References -- Data Science -- Hybrid Students' Academic Performance and Dropout Prediction Models Using Recursive Feature Elimination Technique -- 1 Introduction -- 2 Related Works -- 2.1 Naïve Bayes -- 2.2 Support Vector Machine -- 2.3 Recursive Feature Elimination (RFE) Technique -- 3 Methodology -- 4 Results and Discussion -- 4.1 Results of the Autoclassifier Detection Stage -- 4.2 Results of the Feature Selection Layer -- 4.3 Results of the Classification Layer -- 4.4 Results of the Model Evaluation Layer -- 5 Conclusion -- References -- Stage Classification of Alzheimer's Disease Using Transfer Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Data Set -- 3.2 Proposed Models -- 4 Results and Discussion.
4.1 Evaluation -- 4.2 Results -- 5 Conclusion -- References -- Predicting the e-Signing Likelihood of Loan Using Machine Learning Models Combining Clustering with Supervised Learning -- 1 Introduction -- 2 Related Work -- 3 Background -- 4 Approach Methodology -- 4.1 Dataset Description -- 4.2 Proposed Pipeline -- 5 Results and Discussion -- 5.1 Classical Approach-Logistic Regression -- 5.2 Machine Learning Approach -- 5.3 A Hybrid Approach Using a Pre-clustering Step to Enhance Performance Using Self-organizing Map Clustering -- 6 Conclusion and Future Work -- References -- Designing an Arabic Google Play Store User Review Dataset for Detecting App Requirement Issues -- 1 Introduction -- 2 Related Works -- 3 Dataset Design -- 3.1 Data Collection Phase -- 3.2 Feature Engineering Phase -- 4 Enabling Research -- 4.1 Sentiment Analysis -- 4.2 Dialect Identification -- 4.3 App Review -- 4.4 Gender Detection -- 4.5 Software Issue Detection -- 5 Conclusion and Future Work -- References -- A Survey of Machine Learning and Deep Learning Applications in Genome Editing -- 1 Introduction -- 2 Genomics -- 3 Genome Editing -- 3.1 Application of Machine Learning in Genome Editing -- 4 Summary and Discussion -- 5 Conclusion -- References -- Educational Data Mining Techniques for Detecting Undesirable Students' Behaviors and Predicting Students' Performance: A Comparative Study -- 1 Introduction -- 2 Educational Data Mining Tasks -- 2.1 Detecting Undesirable Students' Behaviors -- 2.2 Detecting Students' Performance -- 3 Discussion and Future work -- References -- COVID-19: Analysis and Measurement of the Influence of the Tweets to Help the Public Health Sector to Fight Coronavirus -- 1 Introduction -- 2 Coronaviruses (COVID-19) -- 3 Twitter -- 4 Influence: An Overview for Our Case -- 5 Related Work -- 5.1 TunkRank Algorithm.
5.2 Twitter Ratio (Followers and Following) -- 6 Method and Algorithm -- 6.1 Our Method -- 6.2 Influence Score Algorithm Inf(X, TempD) -- 7 Experiments Results and Discussion -- 7.1 The Influential Tweeted not About COVID-19 (Other Tweets) -- 7.2 The Influential Tweeted About COVID-19 -- 8 Conclusion -- References -- Data Analytics Model for Home Improvement Store -- 1 Introduction -- 2 Related Work -- 2.1 Introduction to a Home Improvement Store -- 2.2 Importance of Applying Data Analytics Model to Retail Business -- 2.3 Study on Existing Data Analytics Model -- 2.4 Research Methodology -- 3 Data Quality of Dataset -- 3.1 Issues in Current Dataset -- 3.2 Handling Data Quality Issues -- 3.3 Missing Data -- 3.4 Noisy Data -- 3.5 Output of Descriptive Analytics Model -- 3.6 Output of Predictive Analytics Model -- 4 Techniques and Tools Used -- 5 Result -- 6 Conclusion -- References -- Intelligent Models for Mining Social Media Data -- 1 Introduction -- 2 Research Methods -- 2.1 Dataset -- 2.2 Pre-processing Approach -- 2.3 Learning Algorithms -- 2.4 Evaluation Metrics -- 3 Model Implementation and Results -- 4 Related Work -- 5 Conclusion -- References -- Cloud Computing and Networking -- Routing and Charging of Electric Vehicles: Survey -- 1 Introduction -- 2 Electric Vehicles Routing Problems -- 2.1 Related Works -- 3 Charging of Electric Vehicles -- 4 Conclusion and Future Work -- References -- A Parallel Genetic Algorithm for Solving the Vehicle Routing Problem with Drone Medication Delivery -- 1 Introduction -- 2 Related Literature -- 3 Problem Formulation -- 4 Proposed Approach -- 5 Experiments and Results -- 6 Conclusion and Perspectives -- References -- Review on Blockchain and Access Control Systems -- 1 Introduction -- 2 Methodology -- 3 Preliminaries -- 3.1 Blockchain -- 3.2 Blockchain Layers -- 3.3 Access Control Systems (ACS).
4 Related Works -- 5 Discussion -- 6 Conclusion -- References -- Adoption of Docker Containers as an Infrastructure for Deploying Software Applications: A Review -- 1 Introduction -- 2 Motivation -- 2.1 Usage of Docker in the Practitioner -- 3 Research Method -- 3.1 Different Solutions/Observations and Studies for Docker -- 4 Docker Containers -- 4.1 Introduction to Docker Containers -- 4.2 Docker Container Architecture -- 4.3 Advantages of Docker Containers -- 4.4 Limitations of Docker Containers -- 4.5 Strategic Approaches to Overcome Docker Limitations -- 5 Docker and Other Corresponding Approaches -- 6 Docker Integration with Container Orchestration -- 7 Conclusion -- References -- Study of the Impact of the Profoundness of Tunnel in the Context of Transition from IPv4 to IPv6 at the Local, Regional, and National Levels -- 1 Introduction -- 2 Overview of Transition Methods -- 3 Related Works -- 4 Context of Study -- 5 Results and Analysis -- 5.1 End-to-End Delay -- 5.2 Variation in Delay -- 5.3 HTTP Response Time -- 6 Conclusion and Future Work -- References -- Artificial Intelligence II -- A Face-Mask Detection System Based on Deep Learning Convolutional Neural Networks -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Face Detection and Localization Step -- 3.2 Applying Face-Mask Classifier -- 4 Experimental Setup -- 4.1 Dataset -- 4.2 Architectural Details -- 5 Results and Discussion -- 5.1 Results for the "Uni-FaceMask" Model -- 5.2 Results for the "Multi-FaceMask" Model -- 6 Conclusion -- References -- Deep Learning for COVID-19 Cases-Based XCR and Chest CT Images -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Research Questions -- 3.2 Dataset -- 3.3 Classification -- 4 Computational Results and Discussion -- 4.1 Experimental Settings -- 4.2 Experimental Datasets -- 4.3 Experimental Results.
4.4 Results and Discussions.
Record Nr. UNINA-9910743257903321
Singapore : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances on Smart and Soft Computing : Proceedings of ICACIn 2020 / / edited by Faisal Saeed, Tawfik Al-Hadhrami, Fathey Mohammed, Errais Mohammed
Advances on Smart and Soft Computing : Proceedings of ICACIn 2020 / / edited by Faisal Saeed, Tawfik Al-Hadhrami, Fathey Mohammed, Errais Mohammed
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Singapore, 2021
Descrizione fisica 1 online resource (XXI, 657 p. 260 illus., 207 illus. in color.)
Disciplina 004
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Big data
Artificial intelligence
Telecommunication
Computational Intelligence
Big Data
Artificial Intelligence
Communications Engineering, Networks
ISBN 981-15-6048-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimization of a Similarity Performance on Bounded Content of Motion Histogram by Using Distributed Model -- Automatic Detection of Diabetic Retinopathy using Custom CNN and Grad-CAM -- A Zero-Knowledge Identification Scheme Based on the Discrete Logarithm Problem and Elliptic Curves -- SMOTE-ENN Based Data Sampling and Improved Dynamic Ensemble Selection for Imbalanced Medical Data Classification -- Evaluation of Several Artificial Intelligence and Machine Learning Algorithms for Image Classification on Small Datasets -- Yemeni Paper Currency Recognition System Using Deep Learning Approach -- Tuning Hyper-Parameters of Machine Learning Methods for Improving the Detection of Hate Speech -- Performance Comparison of Machine Learning Techniques in Identifying Dementia from Open Access Clinical Datasets -- Clustering Analysis to Improve Web Search Ranking Using PCA and RMSE -- A Parallel Global TFIDF Feature Selection using Hadoop for Big Data Text Classification.
Record Nr. UNINA-9910863120003321
Springer Singapore, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Emerging Trends in Intelligent Computing and Informatics : Data Science, Intelligent Information Systems and Smart Computing / / edited by Faisal Saeed, Fathey Mohammed, Nadhmi Gazem
Emerging Trends in Intelligent Computing and Informatics : Data Science, Intelligent Information Systems and Smart Computing / / edited by Faisal Saeed, Fathey Mohammed, Nadhmi Gazem
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (1,199 pages)
Disciplina 004
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Engineering—Data processing
Computational Intelligence
Data Engineering
ISBN 3-030-33582-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910484012703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Innovative systems for intelligent health informatics : data science, health informatics, intelligent systems, smart computing / / Faisal Saeed, Fathey Mohammed, Abdulaziz Al-Nahari, editors
Innovative systems for intelligent health informatics : data science, health informatics, intelligent systems, smart computing / / Faisal Saeed, Fathey Mohammed, Abdulaziz Al-Nahari, editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (1271 pages)
Disciplina 004
Collana Lecture notes on data engineering and communications technologies
Soggetto topico Information technology
ISBN 3-030-70713-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483473103321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Trends in Data Science and Soft Computing : Proceedings of the 3rd International Conference of Reliable Information and Communication Technology (IRICT 2018) / / edited by Faisal Saeed, Nadhmi Gazem, Fathey Mohammed, Abdelsalam Busalim
Recent Trends in Data Science and Soft Computing : Proceedings of the 3rd International Conference of Reliable Information and Communication Technology (IRICT 2018) / / edited by Faisal Saeed, Nadhmi Gazem, Fathey Mohammed, Abdelsalam Busalim
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (1,133 pages)
Disciplina 004
Collana Advances in Intelligent Systems and Computing
Soggetto topico Computational intelligence
Artificial intelligence
Computational Intelligence
Artificial Intelligence
ISBN 3-319-99007-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910483077803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Recent Trends in Information and Communication Technology : Proceedings of the 2nd International Conference of Reliable Information and Communication Technology (IRICT 2017) / / edited by Faisal Saeed, Nadhmi Gazem, Srikanta Patnaik, Ali Saleh Saed Balaid, Fathey Mohammed
Recent Trends in Information and Communication Technology : Proceedings of the 2nd International Conference of Reliable Information and Communication Technology (IRICT 2017) / / edited by Faisal Saeed, Nadhmi Gazem, Srikanta Patnaik, Ali Saleh Saed Balaid, Fathey Mohammed
Edizione [1st ed. 2018.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Descrizione fisica 1 online resource (XX, 930 p. 350 illus.)
Disciplina 006.3
Collana Lecture Notes on Data Engineering and Communications Technologies
Soggetto topico Computational intelligence
Electrical engineering
Computational Intelligence
Communications Engineering, Networks
ISBN 3-319-59427-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910299911503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui