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Advances in Intelligent Computing Techniques and Applications : Intelligent Systems, Intelligent Health Informatics, Intelligent Big Data Analytics and Smart Computing, Volume 2
| Advances in Intelligent Computing Techniques and Applications : Intelligent Systems, Intelligent Health Informatics, Intelligent Big Data Analytics and Smart Computing, Volume 2 |
| Autore | Saeed Faisal |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (332 pages) |
| Altri autori (Persone) |
MohammedFathey
FazeaYousef |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| ISBN | 3-031-59707-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Software Bug Severity Prediction Using Convolutional Neural Network and BiLSTM Models -- 1 Introduction -- 2 Related Studies -- 3 Research Methodology -- 3.1 Data Set -- 3.2 Preprocessing of Summary Features -- 3.3 Word Tokenization -- 3.4 Stop Words Removal -- 3.5 Stemming -- 4 Proposed Models -- 4.1 Convolutional Neural Network (CNN) -- 4.2 A Bidirectional Long Short-Term Memory (BiLSTM) -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Facial Wash Products Recommendation System: Profile User-Based Using Fuzzy Analytical Hierarchy Process Approach -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Recommendation System Design and Development -- 5 Conclusion -- References -- Securing Data in IoT-RFID-Based Systems Using Lightweight Cryptography Algorithm -- 1 Introduction -- 2 RFID Technology -- 2.1 RFID-Based System Components -- 3 RFID Security -- 3.1 Security Requirements for IoT-Based RFID System -- 4 Works Related to Securing RFID-Based Systems -- 5 The Proposed IoT-RFID Lightweight Security Framework(I-RFLSF) -- 5.1 Two-Level Registration Phase -- 5.2 Two-Level Authentication Phase -- 5.3 Secure Data Transmission Phase -- 6 Analysis -- 7 Conclusion -- References -- Employee Mental Workload Classification in Industrial Workplaces: A Machine Learning Approach -- 1 Introduction -- 2 Related Works -- 3 Research Methodology -- 3.1 Dataset Description -- 3.2 Data Preparation -- 3.3 Data Exploration -- 3.4 Modelling Using Supervised Machine Learning -- 3.5 Evaluation -- 4 Results and Analysis -- 5 Discussion and Conclusion -- References -- A Conceptual Framework for Malay-English Code-Switched Neural Machine Translation -- 1 Introduction -- 2 Literature Review -- 2.1 Code-Switching -- 2.2 Neural Machine Translation -- 2.3 Code-Switching in NMT: Challenges.
3 Theoretical Framework -- 3.1 Data Preparation -- 3.2 Model Development -- 3.3 Performance Evaluation -- 4 Conclusion -- References -- Mobile Device Influence on SDN Controller Performance in IoT-Managed Software-Defined Wireless Networks -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Network Model -- 3.2 Analyses of SDN Controller Overhead -- 4 Performance Evaluation and Simulation Setup -- 4.1 Simulation Setup -- 4.2 Experimental Results and Discussion -- 5 Conclusion -- References -- Matrix Profile Unleashed: A Solution to IoT Data Redundancy Challenges -- 1 Introduction -- 2 Matrix Profile Overview -- 3 Methodology -- 4 Result and Discussion -- 5 Conclusion -- References -- Plants Monitoring API to Detect Tomato Leaf Diseases Using Deep-Learning Algorithms -- 1 Introduction -- 2 Related Works -- 3 CNN Model Development -- 3.1 Data Collection -- 3.2 Model Architecture Selection -- 3.3 Model Evaluation and Visualization -- 4 Deployment Strategy -- 5 Evaluation and Testing -- 6 Results Discussion -- 7 Limitations and Challenges -- 8 Conclusion -- References -- Sentiment Analysis and Innovative Recommender System: Enhancing Goodreads Book Discovery Using Hybrid Collaborative and Content Based Filtering -- 1 Introduction -- 2 Literature Review -- 2.1 Sentiment Analysis -- 2.2 Recommender Systems -- 3 Materials and Methods -- 3.1 Business Understanding -- 3.2 Data Understanding -- 3.3 Data Preparation -- 3.4 Sentiment Analysis Visualization -- 4 Modelling -- 5 Evaluation -- 6 Results and Analysis -- 7 Discussion -- 8 Conclusion -- References -- Comparative Analysis of Topic Modeling Algorithms Based on Arabic News Documents -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 TF-IDF -- 3.2 Latent Semantic Indexing -- 3.3 Latent Dirichlet Allocation -- 3.4 Non-negative Matrix Factorization -- 3.5 BERTopic. 4 Methodologies and Experiment -- 4.1 DataSet Description -- 4.2 Data Preprocessing -- 4.3 Comparative Analysis -- 5 Results and Discussion -- 6 Conclusion -- References -- Air Pollution Prediction Using Long Short-Term Memory Variants -- 1 Introduction -- 2 Related Works -- 3 Research Method -- 3.1 Data Collection -- 3.2 Data Preparation -- 3.3 Sliding Window -- 3.4 Hold-Out Validation -- 3.5 Long Short-Term Memory -- 3.6 Bidirectional Long Short-Term Memory -- 3.7 Stacked Long Short-Term Memory -- 3.8 Model Evaluation -- 3.9 Prediction -- 4 Results and Discussion -- 5 Conclusion -- References -- Comparative Analysis to Develop a Dimensionality Reduction Model for Classifying Intrusion Detection Systems -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Classification Algorithms -- 4 Results -- 5 Conclusion -- References -- Revolutionizing Airline Customer Satisfaction Analysis with Machine Learning Techniques -- 1 Introduction -- 2 Methodology -- 2.1 Data Retrieval -- 2.2 Exploratory Data Analysis (EDA) -- 2.3 Data Preprocessing -- 2.4 Data Performance Measurement -- 2.5 Proposed Machine Learning Models -- 2.6 Model Training and Evaluation -- 3 Results and Discussion -- 3.1 Experimental Environment -- 3.2 Exploratory Data Analysis (EDA) -- 3.3 Performance Metrics of All Models -- 3.4 Discussion -- 4 Conclusion -- References -- Android Malware Detection Using Machine Learning Technique -- 1 Introduction -- 2 Methodology -- 2.1 Feature Engineering -- 3 Implementation -- 3.1 Back-end Output and Code Snippets -- 3.2 Screenshot the Interface -- 4 Conclusions -- References -- An Ensemble Machine Learning Approach for Predicting Flood Based on Meteorological and Topographical Features: A Comparative Study in Kalu Ganga River Basin, Sri Lanka -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Results and Discussion. 4.1 Outlier Detection -- 4.2 Feature Selection -- 4.3 Machine Learning Models -- 5 Conclusion -- References -- A Review of IoT Applications in Smart Environments: From Smart Cities to Military Integration -- 1 Introduction -- 2 Smart City Applications -- 2.1 Smart Homes -- 2.2 Smart Parking Lots -- 2.3 Vehicular Traffic -- 2.4 Surveillance Systems -- 3 Smart Environmental applications -- 3.1 Weather and Water Systems -- 3.2 Smart Energy and Smart Grids -- 3.3 Environmental Pollution -- 3.4 Health Applications -- 4 Procurement Applications -- 5 Livestock Applications -- 5.1 Chickens -- 5.2 Cattle -- 6 Military Applications -- 7 Conclusion -- References -- Utilizing Deep Learning Technique for Arabic Image Captioning -- 1 Introduction -- 2 Arabic Image Captioning (AIC) Model -- 3 Results and Discussion -- 3.1 Experimental Settings -- 3.2 Obtained Results -- 4 Conclusion -- References -- Performance Analysis of Textured Contact Lens IRIS Detection Based on Manual Feature Engineering -- 1 Introduction -- 2 Existing Publicly Databases -- 3 Performance Evaluation Metrics -- 4 Existing CLIDs Based Hand-Crafted Feature Extraction -- 4.1 CLIDs-Based Spatial Domain -- 4.2 CLIDs-Based Transform Domain -- 5 Comparison of CLIDs Techniques -- 6 Conclusion -- References -- Proposed Model for QCNN-Based Sentimental Short Sentences Classification -- 1 Introduction -- 2 Background and Related Work -- 2.1 Quantum Computing -- 2.2 Quantum Machine Learning -- 2.3 Quantum Convolutional Neural Network -- 2.4 Related Work -- 3 Proposed Model -- 4 Conclusion and Future Work -- References -- An Anomaly Intrusion Detection Systems in IoT Based on Autoencoder: A Review -- 1 Introduction -- 2 Background of Autoencoder -- 3 Studies Characteristic and Discussion -- 3.1 Deep Autoencoder -- 3.2 Sparse Autoencoder -- 3.3 Variational Autoencoder -- 3.4 Combining Approaches. 3.5 Technique Used -- 3.6 Datasets Used -- 4 Recommendations and Future Direction -- 5 Conclusion -- References -- Comparative Analysis of ResNet50, and VGG16 Architectures for Counterfeit Logo Identification -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Data Preprocessing -- 3.3 Addressing Data Imbalance -- 3.4 Feature Selection -- 3.5 Applied Models -- 4 Results and Discussion -- 4.1 Performance of the ResNet50 -- 4.2 Performance of the VGG16 -- 4.3 Comparative Analysis -- 5 Conclusion -- References -- Assessing the Prioritization of Key Influencing Factors for Industrial IoT Readiness in SMEs -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 4 Possible Influencing Factors for Industrial IoT Readiness in SMEs -- 5 Findings from Data Analysis -- 6 Conclusion -- References -- A Real-Time Hand Gesture Recognition Based on Media-Pipe and Support Vector Machine -- 1 Introduction -- 2 Methodology -- 2.1 Hand Model -- 2.2 Hand Gesture Recognition -- 2.3 Dataset -- 2.4 Image Processing -- 2.5 Feature Extraction -- 2.6 Support Vector Machine (SVM) -- 2.7 Visual Processing Algorithm -- 3 Results and Discussion -- 4 Conclusion -- References -- The Era of Industry 5.0: An Overview of Technologies, Applications, and Challenges -- 1 Introduction -- 2 Enabling Industry 5.0 Technologies -- 3 Applications of Industry 5.0 -- 4 Challenges in Industry 5.0 and Future Directions -- 5 Conclusion -- References -- Overview of Cybersecurity Trends in Jordan's Financial Sector -- 1 Introduction -- 2 Background -- 2.1 The Digital Transformation of the Financial Sector in Jordan -- 2.2 Cybersecurity in the Financial Sector of Jordan -- 2.3 Regulatory Compliance in Jordan -- 2.4 Mobile and Fintech Applications in Jordan -- 3 Conclusion and Future Works -- Appendix -- References. Hybrid Filter Feature Selection for Improving Cancer Classification in High-Dimensional Microarray Data. |
| Record Nr. | UNINA-9910857789103321 |
Saeed Faisal
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Intelligent Computing Techniques and Applications : Intelligent Systems, Intelligent Health Informatics, Intelligent Big Data Analytics and Smart Computing, Volume 1
| Advances in Intelligent Computing Techniques and Applications : Intelligent Systems, Intelligent Health Informatics, Intelligent Big Data Analytics and Smart Computing, Volume 1 |
| Autore | Saeed Faisal |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (355 pages) |
| Altri autori (Persone) |
MohammedFathey
FazeaYousef |
| Collana | Lecture Notes on Data Engineering and Communications Technologies Series |
| ISBN | 3-031-59711-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910869166603321 |
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Saeed Faisal
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| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances on intelligent informatics and computing : health informatics, intelligent systems, data science and smart computing / / Faisal Saeed, Fathey Mohammed, and Fuad Ghaleb
| 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 |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (793 pages) |
| Disciplina | 006.312 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Data mining
Data mining - Data processing |
| ISBN | 3-030-98741-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| 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. |
| Record Nr. | UNINA-9910556881203321 |
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Saeed Faisal
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| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computing and Informatics [[electronic resource] ] : 9th International Conference, ICOCI 2023, Kuala Lumpur, Malaysia, September 13–14, 2023, Revised Selected Papers, Part II / / edited by Nur Haryani Zakaria, Nur Suhaili Mansor, Husniza Husni, Fathey Mohammed
| Computing and Informatics [[electronic resource] ] : 9th International Conference, ICOCI 2023, Kuala Lumpur, Malaysia, September 13–14, 2023, Revised Selected Papers, Part II / / edited by Nur Haryani Zakaria, Nur Suhaili Mansor, Husniza Husni, Fathey Mohammed |
| Autore | Zakaria Nur Haryani |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (368 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
MansorNur Suhaili
HusniHusniza MohammedFathey |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Application software Computer engineering Computer networks Data protection Artificial intelligence Data structures (Computer science) Information theory Database Management System Computer and Information Systems Applications Computer Engineering and Networks Security Services Artificial Intelligence Data Structures and Information Theory |
| ISBN | 981-9995-92-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Digital healthcare and well-being -- Education transformation through technology -- Digital entrepreneurship and innovation. |
| Record Nr. | UNINA-9910806192603321 |
|
Zakaria Nur Haryani
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Computing and Informatics [[electronic resource] ] : 9th International Conference, ICOCI 2023, Kuala Lumpur, Malaysia, September 13–14, 2023, Revised Selected Papers, Part I / / edited by Nur Haryani Zakaria, Nur Suhaili Mansor, Husniza Husni, Fathey Mohammed
| Computing and Informatics [[electronic resource] ] : 9th International Conference, ICOCI 2023, Kuala Lumpur, Malaysia, September 13–14, 2023, Revised Selected Papers, Part I / / edited by Nur Haryani Zakaria, Nur Suhaili Mansor, Husniza Husni, Fathey Mohammed |
| Autore | Zakaria Nur Haryani |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (410 pages) |
| Disciplina | 005.7 |
| Altri autori (Persone) |
MansorNur Suhaili
HusniHusniza MohammedFathey |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Application software Computer engineering Computer networks Data protection Artificial intelligence Data structures (Computer science) Information theory Database Management System Computer and Information Systems Applications Computer Engineering and Networks Security Services Artificial Intelligence Data Structures and Information Theory |
| ISBN | 981-9995-89-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Ensuring cybersecurity and privacy. - Digital media and information literacy -- Navigating AI development and deployment -- Harnessing technology for sustainable development. |
| Record Nr. | UNINA-9910806193903321 |
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Zakaria Nur Haryani
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
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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 | ||
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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 | ||
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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 | ||
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