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Format: 1 Online-Ressource (XIX, 563 p. 220 illus., 174 illus. in color)

Edition: 1st ed. 2024

ISBN: 9783031569500

Series Statement: Lecture Notes in Networks and Systems 956

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-56949-4

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-031-56951-7

Language: English

DOI: 10.1007/978-3-031-56950-0

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XIX, 563 p. 220 illus., 174 illus. in color. , online resource.

Edition: 1st ed. 2024.

ISBN: 9783031569500

Series Statement: Lecture Notes in Networks and Systems, 956

Content: This book concentrates on advances in research in the areas of computational intelligence, cybersecurity engineering, data analytics, network and communications, cloud and mobile computing, and robotics and automation. The Second International Conference on Advances in Computing Research (ACR'24), June 3-5, 2024, in Madrid, brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the advances in computing technologies. The conference is aptly segmented into six tracks to promote a birds-of-the-same-feather congregation and maximize participation. It introduces the concepts, techniques, methods, approaches, and trends needed by researchers, graduate students, specialists, and educators for keeping current and enhancing their research and knowledge in these areas.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9783031569494

Additional Edition: Printed edition: ISBN 9783031569517

Language: English

DOI: 10.1007/978-3-031-56950-0

URL: https://doi.org/10.1007/978-3-031-56950-0

UID:

Format: 1 online resource (570 pages)

Edition: First edition.

ISBN: 3-031-56950-4

Series Statement: Lecture Notes in Networks and Systems Series ; Volume 956

Note: Intro -- Preface -- ACR'2024 -- Contents -- Data Analytics Engineering -- Evaluating Study Between Vision Transformers and Pre-trained CNN Learning Algorithms to Classify Breast Cancer Histopathological Images -- 1 Introduction -- 1.1 Breast Cancer Statistics in KSA -- 1.2 Computer-Aided Methods are Needed to Diagnose Cancer -- 1.3 Comparing Vision Transformers and CNN -- 2 Literature Review -- 2.1 The Transformers -- 2.2 The Vision Transformer (ViT) -- 2.3 The Residual Network -- 2.4 Related Work -- 3 The Dataset -- 4 The Synthesis and Analysis Phases -- 5 Research Results and Discussions -- 5.1 ResNet18 vs ViT16 -- 5.2 ViT16 With Augmentation vs ViT 16 Without Augmentation -- 6 Conclusions -- 7 Future Work -- References -- TNEST: Training Sparse Neural Network for FPGA Based Edge Application -- 1 Introduction -- 2 Literature Review -- 3 Motivation for Edge Computing -- 4 Constrained Neural Architecture Generator -- 5 Methodology -- 5.1 Sparsity Mechanism -- 5.2 Connections Re-wiring -- 5.3 Layer Size Tuning -- 6 Experiments Evaluation -- 6.1 Experiment Testbench -- 6.2 Software Implementation -- 6.3 FPGA Implementation -- 7 Conclusion -- References -- Public Policy Decision Making: Confirmatory Factor Analysis -- 1 Introduction -- 2 Public Policy Decision Making -- 2.1 Sample and Descriptive Statistics -- 3 Reliability of the Scales -- 3.1 Confirmatory Factor Analysis -- 4 Conclusion -- References -- An Analytical Study of Traffic Accidents in Connecticut, USA Using Python -- 1 Introduction -- 2 Background -- 3 Method -- 3.1 Data Collection -- 3.2 Data Inspection -- 3.3 Data Cleaning and Preprocessing -- 4 Results -- 4.1 Temporal Analysis -- 4.2 Town-Wise Analysis -- 4.3 Hourly Analysis -- 4.4 Vehicle Color Analysis -- 4.5 Driver Age Analysis -- 5 Conclusion -- References -- Improving the Efficiency of Multimodal Approach for Chest X-Ray. , 1 Introduction -- 2 Literature Review -- 3 Data -- 4 Methods -- 4.1 Image Submodel -- 4.2 Text Submodel -- 4.3 Multimodal Fusion Techniques -- 4.4 Modification for Enhanced Comparison -- 4.5 Model Improvement -- 4.6 Training Parameters -- 4.7 Output Activation Function -- 5 Model Evaluation Metrics -- 6 Results and Discussion: Proposed Model vs Baseline Model -- 7 Conclusion -- References -- Wrist Crack Classification Using Deep Learning and X-Ray Imaging -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 Dataset Descriptions -- 3.2 Data Preprocessing -- 3.3 Proposed CNN -- 3.4 Training Process of Proposed Method -- 3.5 Methodology -- 4 Results and Discussions -- 4.1 Results Analysis -- 5 Conclusions and Future Work -- References -- Improving Weeds Detection in Pastures Using Illumination Invariance Techniques -- 1 Introduction -- 1.1 Motivations and Objectives -- 1.2 The Data Description -- 2 Methodology -- 2.1 Methods -- 2.2 Image Thresholding Technique -- 2.3 Pre-processing Technique -- 2.4 Framework -- 2.5 Training -- 2.6 The Support Vector Machine (SVM) Algorithm -- 2.7 Cross Validation -- 2.8 Confusion Matrix -- 3 Results -- 4 Discussion -- 4.1 Future Work -- 5 Conclusion -- References -- Credit Card Batch Processing in Banking System -- 1 Introduction -- 1.1 Batch Processing -- 1.2 Credit Card Transaction -- 1.3 Customer Profile Analyzer/Database -- 2 Literature Review -- 3 Key Findings and Context -- 3.1 Credit Card Fraud and Recent Trends -- 3.2 Pyspark and Apache Airflow -- 4 Result and Discussion -- 5 Conclusion -- References -- Irregular Frame Rate Synchronization of Multi-camera Videos for Data-Driven Animal Behavior Detection -- 1 Introduction -- 2 Related Work -- 2.1 Software-Based Methods -- 2.2 Hardware-Based Methods -- 2.3 Summary of Literature Studies. , 3 Proposed Irregular Frame Rate Synchronization Method for Pre-recorded Multi-camera Videos -- 3.1 Overview of Our Multi-camera Video setup and Irregular Frame Rate Problem -- 3.2 SIFT-Based Synchronization Experiment -- 3.3 Proposed Timestamp-Based Irregular Frame Rate Synchronization -- 3.4 Results and Discussion -- 4 Conclusions and Future Work -- References -- Increasing the Accuracy of a Deep Learning Model for Traffic Accident Severity Prediction by Adding a Temporal Category -- 1 Introduction and Related Work -- 1.1 Introduction -- 1.2 Related Work -- 2 Methodology -- 2.1 Dataset -- 2.2 Pre-processing Data -- 2.3 Temporal Features -- 2.4 Post-processing Data -- 2.5 New CNN-2D Model -- 2.6 Comparison Metrics -- 2.7 Comparison Models -- 3 Results -- 3.1 Liverpool -- 3.2 Southwark -- 3.3 Comparison Summary -- 4 Conclusions -- References -- 2ARTs: A Platform for Exercise Prescriptions in Cardiac Recovery Patients -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 The Classification Model -- 4.1 The Dataset, Data Cleaning and Pre-processing -- 4.2 Modeling -- 4.3 Evaluation -- 5 Development of the 2ARTs Digital Platform -- 5.1 Main Software Features -- 5.2 AI Model and Digital Platform Integration -- 6 Discussion and Conclusion -- References -- Understanding Consumers Attitudes Towards Sustainability -- 1 Introduction -- 2 Related Literature -- 2.1 Brand Strategy Methodology -- 2.2 Sustainability in Business -- 2.3 Related Works -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Overview -- 3.3 Tensor-Based Clustering Method -- 3.4 Results -- 4 Conclusion -- References -- Enriching Ontology with Named Entity Recognition (NER) Integration -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Entity Selection Process -- 3.2 Dataset -- 3.3 Data Preprocessing -- 3.4 BERT -- 3.5 DistilBERT -- 3.6 RoBERTa -- 4 Results and Discussion. , 5 Conclusion and Future Work -- References -- Data Transfer Methods and Strategies: Unified Replication Model Using Trees -- 1 Introduction -- 1.1 Primary-Backup Replication (PBR) -- 1.2 Chain Replication (CR) -- 1.3 Unidirectional Replication (UR) -- 1.4 Dealing with the Failure of a Replica -- 2 Proposed Enhancement -- 2.1 Using Binary Trees in Unified Replication -- 2.2 Using AVL Trees in Unified Replication Structure -- 2.3 Using a Replicated AVL Tree -- 2.4 Tree-Based Replication Using AVL has Many Benefits -- 2.5 Effective Replication Using AVL Trees for Updates -- 3 Comparison and Results -- 4 Case Study and Discussion -- 4.1 Implementing an AVL Tree (Case Study 1) -- 4.2 Implementing a Binary Tree (Case Study 2) -- 5 Conclusion -- References -- Optimized Vehicle Repair Cost by Means of Smart Repair Distribution Model -- 1 Introduction -- 2 Methodology -- 2.1 Experimental Setup -- 3 Results and Discussion -- 3.1 Feature Selection -- 3.2 Interpretation -- 4 Conclusions -- References -- Classification of Eye Disorders Using Deep Learning and Machine Learning Models -- 1 Introduction -- 2 Dry Eye Disease Overview -- 2.1 Cause, Risk Factors, and Symptoms -- 2.2 Dry Eye Disease Subtypes -- 2.3 Methods Used for DED Diagnosis -- 3 Related Work -- 4 Our Work -- 4.1 Data Source and Preprocessing -- 4.2 Experimentation -- 4.3 Evaluation Metrics -- 4.4 Results -- 5 Discussion -- 6 Conclusion -- References -- Effects of Parallel and Distributed Learning on CNN Performance for Lung Disease Classification -- 1 Introduction -- 2 Material and Methods -- 2.1 Convectional Neural Network -- 2.2 Data Acquisition and Preprocesssing -- 3 Results and Discussion -- 4 Conclusions -- References -- A Federated Learning Anomaly Detection Approach for IoT Environments -- 1 Introduction -- 2 Related Work -- 3 Federated Learning Anomaly Detection (FLAD) Approach. , 3.1 Problem Formulation in Federated Learning -- 3.2 Anomaly Detection in Federated Setting -- 4 Data Preparation -- 5 Experiment and Results -- 5.1 Experiment Setting -- 5.2 Evaluation Metrics -- 5.3 Results and Analysis -- 6 Conclusion and Future Work -- References -- Taxonomy of AR to Visualize Laparoscopy During Abdominal Surgery -- 1 Introduction -- 2 Literature Review -- 3 Proposed System Components -- 4 Proposed System Components Evaluation and Validation -- 5 Discussion -- 6 Conclusion -- References -- Cybersecurity Engineering -- Open Platform Infrastructure for Industrial Control Systems Security -- 1 Introduction -- 1.1 ICS Testbed and Training Workbench -- 1.2 Contributions to ICS Security Training -- 2 Background and Related Works -- 2.1 Prior and Similar Works -- 2.2 Digital Twins of Industrial Control Systems -- 2.3 Open Platform Infrastructure -- 3 ICS Open Platform Infrastructure (ICS-OPI) Development -- 3.1 Virtualized PLCs and ICS Protocols -- 3.2 Small Footprint in Isolation -- 3.3 Realization of an IT-OT Network Infrastructure -- 3.4 Development of ICS Digital Twins -- 3.5 Human Machine Interface for the ICS -- 3.6 Simulating ICS Security Attacks and Defense -- 4 Deployment and Dissemination -- 5 Conclusion and Future Directions -- References -- Towards Hybrid NIDS: Combining Rule-Based SIEM with AI-Based Intrusion Detectors -- 1 Introduction, Problem Statement and Research Questions -- 1.1 Background and Context -- 1.2 Problem Statement -- 1.3 Research Questions -- 2 Related Works -- 3 Proposition of the Combined SIEM-AI Approach -- 3.1 High-Level Architecture of the Proposed Combined SIEM-AI Approach -- 3.2 SIEM Rule-Based Approach -- 3.3 AI-Based Intrusion Detectors -- 4 Experimental Setup and Results -- 5 Discussion and Way Forward -- 5.1 Discussion -- 5.2 Threats to Validity -- 5.3 Future Work -- 6 Conclusions -- References. , Security Challenges and Solutions in Smart Cities.

Additional Edition: ISBN 3-031-56949-0

Language: English