Advances in Intelligent Computing Techniques and Applications : Intelligent Systems, Intelligent Health Informatics, Intelligent Big Data Analytics and Smart Computing, Volume 2

• Autore: Saeed Faisal
• Pubblicazione: Cham : , : Springer International Publishing AG, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (332 pages)
• Altri autori: MohammedFathey FazeaYousef
• 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.
• Titolo autorizzato: Advances in Intelligent Computing Techniques and Applications
• ISBN: 3-031-59707-9
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910857789103321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes on Data Engineering and Communications Technologies Series