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International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part II
| International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part II |
| Autore | Botto-Tobar Miguel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (288 pages) |
| Altri autori (Persone) |
Zambrano VizueteMarcelo
Montes LeónSergio Torres-CarriónPablo DurakovicBenjamin |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 3-031-58953-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Intelligent Systems -- Neural Network Model to Classify a Tweet According to Its Sentiment -- 1 Introduction -- 1.1 Current Status -- 2 Method -- 2.1 Data Selection -- 2.2 Data Preparation -- 2.3 Model Development -- 2.4 Model Training -- 3 Discussion of Results -- 3.1 Tweet Classification Model -- 3.2 Architecture of the Web Application -- 3.3 Model Evaluation -- 4 Conclusions -- References -- Virtual Assistant for the Registration of Clinical Histories Using Natural Language Processing in the Health Sector -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 Methodology -- 3.2 Integrated Architecture -- 3.3 Programming -- 3.4 Mobile Application Interface -- 4 Experiments and Results -- 4.1 Preparation Protocol -- 4.2 Definition of Indicators -- 4.3 Test Scenario -- 4.4 Evaluation of Indicators -- 5 Analysis and Discussion of Results -- 6 Conclusions -- References -- Physicochemical and Microbiological Characterization of Drinking Water from the Luz de América parish, Ecuador: Statistical Approach -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Area -- 2.2 Data Collection -- 2.3 Physicochemical and Microbiological Assays -- 2.4 Data Analysis -- 3 Results and Discussions -- 4 Conclusions -- References -- Machine Learning Models for Identifying Patterns in GNSS Meteorological Data -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Development of Animal Morphology Measurement Tool with Convolutional Neural Networks and Single-View Metrology Algorithms -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Related Studies -- 3 Conceptual Framework -- 3.1 YOLO (You Only Look Once) -- 3.2 Trap Cameras -- 3.3 Single View Metrology Algorithms -- 4 Methodology -- 5 Development -- 5.1 Stage 1: Data Selection.
5.2 Stage 2: Data Preprocessing -- 5.3 Stage 3: Data Transformation -- 5.4 Stage 4: Data Integration -- 5.5 Stage 5: Implementation -- 6 Results -- 7 Conclusions -- References -- Rose Plant Disease Detection Using Image Processing and Machine Learning -- 1 Introduction -- 2 Literature Review -- 3 Steps to Detect Plant Disease -- 4 Techniques on Image Processing -- 5 Results and Discussion -- 6 Conclusion -- References -- A Fine-Tuned Transfer Learning Approach for Parkinson's Disease Detection on New Hand PD Dataset -- 1 Introduction -- 2 Literature Review -- 3 Dataset Description and Preprocessing -- 3.1 Dataset Description -- 3.2 Dataset Preprocessing -- 4 Methodology -- 4.1 Hardware and Memory Optimization -- 4.2 Model Training and Evaluation -- 5 Results and Discussion -- 6 Conclusion -- References -- Smart Guide for Pedestrian Traffic Light Status Identification -- 1 Introduction -- 2 Methodology -- 2.1 3D Modeling of Protective Structure -- 2.2 Operation of the Artificial Vision Algorithm Model -- 2.3 Development of the Dataset or Database -- 2.4 Training of the Artificial Neural Network -- 2.5 Object Detection Model -- 2.6 Image Classification Model -- 2.7 Voice Notifications -- 2.8 General Architecture of the Prototype -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Conversion of MRI into CT Images Using Novel Dual Generative Adversarial Model -- 1 Introduction -- 2 Background -- 3 Proposed Model -- 4 Experimental Result -- 4.1 PSNR and SSIM Index -- 4.2 Experimental Environment -- 4.3 Results -- 5 Conclusion -- References -- Accurate and Fast Segmentation of MRI Images Using Multibranch Residual Fusion Network -- 1 Introduction -- 2 Background -- 3 Proposed Method -- 3.1 Residual Matter Dense Particles -- 3.2 Residual Error Fusion Module -- 3.3 An Attention Multiplier Dispersed Throughout the Brain -- 4 Results. 4.1 Ablation Study -- 5 Conclusion -- References -- Voice Pathology Detection Demonstrates the Integration of AI and IoT in Smart Healthcare -- 1 Introduction -- 2 Background -- 2.1 Cyst -- 2.2 A Benign Growth on the Vocal Folds -- 2.3 Nodules -- 2.4 Paralysis -- 2.5 Sulcus -- 3 Proposed VPD System -- 4 Results -- 4.1 Database -- 5 Conclusion -- References -- Impact of AI Infused Leadership on Subordinate Employee's Job Satisfaction: A Study Across Select Successful IT Companies in Bengaluru City -- 1 Introduction -- 2 Review of Literature -- 2.1 AI Infused Leadership -- 2.2 Research Gap -- 2.3 Research Objectives -- 3 Research Methodology -- 4 Results and Discussion -- 4.1 Demographic Profile of the Respondents -- 4.2 Descriptive Statistics -- 4.3 Relationship Between AI Infused Leadership and Employee Job Satisfaction -- 5 Suggestions and Conclusions -- References -- Uncovering AI Potential Techniques for Infectious Disease: A Comprehensive Exploration of Surveying, Classifying, and Predicting Models -- 1 Introduction -- 2 Protocols for the Selection of Studies Related to Covid19 -- 2.1 Covid19, Machine Learning as Well as Deep Learning Methods -- 2.2 Machine Learning Methodologies -- 2.3 Deep Neural Network -- 2.4 Hybrid Approach Merging Deep Learning and Machine Learning -- 3 COVID 19 Datasets -- 4 Outcomes of the Study -- 5 Conclusions -- References -- A Survey: Detection of Heart-Related Disorders Using Machine Learning Approaches -- 1 Introduction -- 1.1 Angina -- 1.2 Coronary Heart Disease -- 1.3 Unstable Angina -- 1.4 Heart Failure -- 1.5 Heart Attack -- 1.6 Congenital Heart Conditions -- 2 The Used Techniques and Approaches -- 2.1 K - Nearest Neighbor -- 2.2 Support Vector Machine -- 2.3 Naïve Bayes -- 2.4 Decision Tree -- 2.5 Random Forest -- 3 Literature Review -- 4 Findings -- 5 Conclusion -- References. Technological and Other Motivating Factors Behind Purchase Intention for Organic Processed Food -- 1 Introduction -- 2 Methodology -- 3 Research Objective -- 4 Factors Impacting Decisions to Buy Organic Processed Food -- 5 Technology as a Motivating Factors Behind Purchase Intention for Organic Processed Food -- 6 Discussion and Conclusion -- References -- Conversational AI-Based Technological Solution for Intelligent Customer Service -- 1 Introduction -- 2 Related Works -- 2.1 Conversational AI-Based Technological Solutions -- 2.2 Technologies that Support Development of Virtual Assistant -- 3 Method -- 3.1 Architecture of the Project for the Development -- 3.2 Benchmarking and Choosing Criteria of the Framework -- 3.3 Web Implementation -- 3.4 Virtual Assistant Implementation -- 3.5 Virtual Assistant Integration -- 4 Experimental Setting -- 5 Results -- 5.1 Usability Dimension -- 5.2 Functionality Dimension -- 5.3 Customer Satisfaction Dimension -- 6 Conclusion -- References -- Detecting the Use of Safety Helmets on Construction Sites -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Business Understanding -- 3.2 Data Understanding -- 3.3 Data Preparation -- 4 Proposed Work -- 4.1 Modeling -- 4.2 Evaluation -- 4.3 Deployment -- 5 Results and Discussion -- 6 Conclusions and Future Work -- References -- Preventing Diabetes: Substituting Processed Foods and Nutritional Chatbot Assistance -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data -- 2.2 Foods Clustering and Distance Matrix -- 2.3 Foods, Dietary Guidelines, and Users Knowledge Graph -- 2.4 FoodSub: System Architecture -- 2.5 Processed Foods Substitution Method and Recommendation -- 2.6 Nutritional Information Chatbot -- 3 Results and Discussion -- 3.1 Evaluation Participants -- 3.2 FoodSub: Usability Evaluation with SUS -- 3.3 Chatbot: Usability Evaluation with CUQ. 3.4 Expert Verification for Substitution Recommendations -- 4 Conclusions and Future Work -- References -- Attack Classification Using Machine Learning Techniques in Software-Defined Networking -- 1 Introduction -- 2 Literature Review -- 3 The Proposed Method -- 3.1 Data Collection -- 3.2 Data Preprocessing -- 3.3 Feature Selections -- 4 Evaluations and Experiments Results -- 4.1 Software and Hardware Specifications -- 4.2 Model Selection -- 4.3 Experiments Results -- 5 Conclusion -- References -- Classification of Toxic Comments on Social Networks Using Machine Learning -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Analytical Description -- 2.3 Methods -- 3 Results -- 3.1 Understanding the Business -- 3.2 Understanding the Data -- 3.3 Data Preparation -- 3.4 Modeling -- 3.5 Evaluation -- 3.6 Correlation Matrix -- 3.7 Evaluation of Validity -- 4 Discussion -- 5 Conclusions -- References -- Author Index. |
| Record Nr. | UNINA-9910864188503321 |
Botto-Tobar Miguel
|
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part I
| International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part I |
| Autore | Botto-Tobar Miguel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (301 pages) |
| Altri autori (Persone) |
Zambrano VizueteMarcelo
Montes LeónSergio Torres-CarriónPablo DurakovicBenjamin |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 3-031-58956-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Contents - Part III -- Intelligent Systems -- Mobile Application for Calorie Control Using Machine Learning -- 1 Introduction -- 2 Related Works -- 2.1 Machine Learning Algorithms -- 2.2 Similar Solutions -- 3 Material and Method -- 3.1 Data Preparation -- 3.2 SVM Model Training -- 3.3 Mobile Application Development -- 3.4 User Experimentation -- 3.5 Analysis of Experiment -- 4 Result and Discussion -- 4.1 Percentage of Caloric Recommendation Satisfaction (PCRS) -- 4.2 Percentage of Accepted Recommendations (PAR) -- 4.3 Percentage of Usage Satisfaction (PUS) -- 4.4 General Results -- 4.5 Discussion of the Results -- 5 Conclusions -- References -- Application of Machine Learning for Air Quality Analysis -- 1 Introduction -- 2 Materials and Methods -- 2.1 Problem Analysis -- 2.2 Understanding Data -- 2.3 Data Preparation -- 2.4 Machine Learning Design -- 2.5 Modeling -- 2.6 Model Implementation and Validation -- 3 Results -- 4 Discussion -- 5 Limitations and Future Work -- 6 Conclusion -- References -- Unsupervized Techniques to Identify Patterns in Gynecologic Information -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Preprocessing -- 2.3 Algorithms -- 2.4 Metrics -- 2.5 Calculate the Number of Clusters -- 2.6 Tools -- 3 Results -- 3.1 K-means Results -- 3.2 Hierarchical Clustering Results -- 3.3 DBSCAN Results -- 3.4 PCA and DBSCAN Results -- 4 Discussion -- 4.1 Conclusion -- References -- Web Application for Early Cataract Detection Using a Deep Learning Cloud Service -- 1 Introduction -- 2 Related Works -- 3 Method -- 3.1 Web Application Architecture Design -- 3.2 Deep Learning Model Implementation -- 3.3 Web Application Development -- 3.4 Deploy -- 4 Results and Discussions -- 4.1 Experiment Protocol -- 4.2 Results -- 4.3 Discussions -- 4.4 Limitations.
5 Conclusions and Future Work -- 5.1 Conclusions -- 5.2 Future Work -- References -- Analyze and Implement a Reinforced AI Chatbot in Guayaquil to Improve Mental Health in Adolescents with the Use of the Neural Generative Models -- 1 Introduction -- 2 Related Work -- 2.1 Chatbots in Mental Health -- 2.2 AI and Healthcare -- 2.3 Key Concepts -- 3 Methodology -- 3.1 Chatbot Development -- 3.2 Methodological Design -- 4 Implementation -- 5 Evaluation -- 5.1 Model Validation -- 5.2 Chatbot Usability Measurement -- 5.3 Usability Study Results (According to CUQ) -- 5.4 Mobile Application Usability -- 6 Conclusions, Limitations, and Future Work -- References -- Detection of Ovarian Cancer Using Improved Deep Learning Model -- 1 Introduction -- 2 Material and Method -- 2.1 Dataset -- 2.2 Data Augmentation -- 2.3 The Improved VGG-16 Model -- 3 Results and Discussion -- 3.1 Implementation -- 3.2 Evaluation Metrics -- 3.3 Hyper Parameter Tuning -- 3.4 Results -- 4 Conclusion -- References -- Navigating the Chatbot Terrain: AI-Driven Conversational Interfaces -- 1 Introduction -- 2 Evolution of Chatbots -- 3 Chatbot System Process -- 3.1 Chatbot Architecture -- 3.2 Types of Chatbots -- 3.3 Applications of Chatbots -- 3.4 Challenges in Chatbot Development -- 3.5 Techniques to Improve Responses -- 4 Chatbot in Different Fields -- 4.1 Healthcare -- 4.2 E-Commerce -- 4.3 Education -- 4.4 Social Media Management -- 5 Future Trends in AI Chatbots -- 6 Conclusion -- References -- Intelligent Virtual Assistant for Elevators Powered by Facial Recognition and Voice Commands -- 1 Introduction -- 2 Methodology -- 2.1 System Architecture -- 2.2 Assistant Design -- 2.3 Facial Recognition Algorithm -- 2.4 Voice Command Algorithm -- 2.5 Embedded System -- 2.6 Actuator Parameterization and Connectivity -- 3 Results -- 4 Discussion -- 5 Conclusions -- References. Otsu Segmentation and Deep Learning Models for the Detection of Melanoma -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology -- 4 Results -- 5 Conclusion -- References -- Hybrid Residual Network and XGBoost Method for the Accurate Diagnosis of Lung Cancer -- 1 Introduction -- 2 Related Work -- 3 Proposed Method -- 3.1 Methods for Identifying Lung Nodules -- 3.2 Negative Mining -- 3.3 Refining Process -- 4 Experiments and Result -- 5 Conclusion -- References -- Generic Framework of New Era Artificial Intelligence and Its Applications -- 1 Introduction -- 2 Related Work -- 3 Proposed AI Framework -- 3.1 Evaluation of Chatbots Tools -- 3.2 Framework Design Evaluation -- 3.3 Research Assessment Framework is Being Roll-Out and Pilot Test -- 3.4 Humanizer BOT (RANS) in Education Sector -- 4 Bot Testing -- 4.1 Test Case 0 -- 4.2 Test Case 1 -- 4.3 Test Case 2 -- 4.4 Test Case 3 -- 4.5 Contact Model Test Case 4 -- 4.6 Contact Model Test Case 5 -- 4.7 Contact Model Test Case 6 -- 4.8 RANBOT Test Case 7 -- 5 Results and Discussion -- 6 Conclusion -- References -- Exploring the Molecular Diversity of SARS, Ebola, MERS, and SAR-COV-2 Viruses Using Genomics Virus Classification Algorithm: ViroGen -- 1 Introduction -- 2 Literature Review -- 3 Genome Based on Artificial Intelligence Technology -- 4 Results and Discussion -- 5 Conclusions -- References -- Improving Dynamic Behavior of Vehicular Ad Hoc Networks by Integrating Game Theory Technique -- 1 Introduction -- References -- Machine Learning to Investigate Determinants of Intention to Purchase Organic Food -- 1 Introduction -- 2 Problem Statements -- 3 Literature Review -- 4 Theoretical Framework -- 5 Methods -- 6 Machine Learning Model for Finding Determinants Intention to Purchase Organic Food -- 7 Data Analysis -- 8 Discussion -- References. Influence Analysis of Driving Style on the Energy Consumption of an Electric Vehicle Through PID Signals Study -- 1 Introduction -- 2 Materials and Methods -- 2.1 On Route Data Acquisition -- 2.2 Test Route -- 2.3 Longitudinal Vehicle Dynamics -- 3 Results and Discussion -- 3.1 Energy Consumption Calculus -- 3.2 Acceleration Analysis Respect to the Route Driving Modes -- 3.3 Most Important Predictors in the Study from Decision Trees (Random Forest) -- 3.4 Training and Validation of the Neural Network from the Predictors -- 4 Conclusions -- References -- Prediction of Academic Outcomes Using Machine Learning Techniques: A Survey of Findings on Higher Education -- 1 Introduction -- 2 Importance of Academic Performance Prediction -- 3 Methodology -- 4 Results -- 4.1 Factors Affecting the Student's Academic Performance -- 4.2 Machine Learning Algorithms for Predicting Students' Performance -- 4.3 Challenges of Machine Learning for Academic Performance -- 5 Conclusions -- References -- Identification of Factors and Teacher Profile Associated with Student Performance Using Fuzzy Techniques and Data Mining -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Academic Performance Dataset -- 3.2 Teaching Profile Data -- 3.3 Data Preparation -- 4 Results -- 4.1 Identification of Factors Affecting Academic Performance -- 4.2 Identification of the Teaching Profile as a Factor of Academic Performance -- 5 Conclusions -- References -- Predictive Model for Accurate Horticultural Product Pricing Using Machine Learning -- 1 Introduction -- 2 Related Works -- 3 Main Contribution -- 4 Methodology -- 5 Experiments -- 6 Results -- 7 Conclusion and Perspective -- References -- Analysis of Driving Style and Its Influence on Fuel Consumption for the City of Quito, Ecuador: A Data-Driven Study -- 1 Introduction -- 2 Material and Methods -- 2.1 OBD Signal Acquisition. 2.2 Test Vehicle -- 2.3 Road Tests -- 2.4 Exploratory Analysis of Variables -- 2.5 Data Classification -- 3 Results and Discussions -- 3.1 Relationship Between Variables of Interest and Driving Style -- 3.2 Differences in Fuel Consumption -- 3.3 Development of the Calculation Algorithm -- 3.4 Testing the Classifier Model on a Normal Route -- 3.5 Classifier Model Testing in an RDE Cycle -- 4 Conclusions -- References -- Preventing Drug Interactions in Diabetic Patients: The Role of a Mobile Conversational Agent -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Store -- 2.2 Conversation Engine -- 2.3 Core Services -- 2.4 External Devices -- 3 Results and Discussion -- 3.1 Usability -- 3.2 Expert Judgment -- 4 Conclusions and Future Work -- References -- Author Index. |
| Record Nr. | UNINA-9910864193403321 |
|
Botto-Tobar Miguel
|
||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part III
| International Conference on Applied Technologies : 5th International Conference on Applied Technologies, ICAT 2023, Samborondon, Ecuador, November 22-24, 2023, Revised Selected Papers, Part III |
| Autore | Botto-Tobar Miguel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (374 pages) |
| Altri autori (Persone) |
Zambrano VizueteMarcelo
Montes LeónSergio Torres-CarriónPablo DurakovicBenjamin |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 3-031-58950-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part III -- Communications -- Analysis of the Influence of Driving Style on Energy Consumption of a Hybrid Vehicle in High-Altitude Environments During Standardized Driving Cycles -- 1 Introduction -- 2 Materials and Methods -- 2.1 Experimental Overwiev -- 2.2 Acquisition of Real Driving Data -- 2.3 Portable Emission Measurement System (PEMS) -- 2.4 On-Route Emission Rates Estimation -- 3 Results and Discussions -- 3.1 Performance Study Based on the Longitudinal Dynamics of the Car -- 3.2 SOC Influence on RDE Route -- 3.3 Driving Modes Characterization -- 4 Conclusions -- References -- e-Commerce -- Adoption of Online Grocery Shopping: A Systematic Review of the Literature -- 1 Introduction -- 2 Methodology -- 3 Retailers Point of View -- 4 Consumers Point of View -- 5 Conclusion -- References -- Significance and Effect of Green Logistics on Buying Behaviors' of Consumer Towards E-Grocery -- 1 Introduction -- 1.1 Meaning of Green Logistics -- 2 Background -- 3 Consumer Behaviour and Sensitivity to Environment -- 4 Strategic Significance of Green Logistics -- 5 Preventive Strategies for the Growth of Green Logistics -- 6 Result Suggestions -- References -- e-Government -- A New Model of Trust in e-Participation: An Empirical Research in Germany and Spain -- 1 Introduction -- 1.1 A Subsection Sample -- 2 Trust in e-Participation -- 3 Empirical Work - Trust in e-Participation -- 3.1 Analysis of the Research Problem -- 3.2 Research Design -- 3.3 Data Collection -- 4 Validation of Trust Factors -- 5 Conclusions -- References -- e-Learning -- Mapping for Quality Analysis of the Instructional Model for MOOCs. Case Study: Open Campus Initiative -- 1 Introduction -- 2 Methodology -- 3 Mapping of Instructional Design Elements -- 3.1 General Structure Elements -- 3.2 Communication Elements.
3.3 Evaluation Elements -- 3.4 Pedagogy Elements -- 3.5 Support Elements -- 3.6 Technology Elements -- 4 Results and Discussion -- 5 Conclusions -- References -- Using Gamification with Affective Computing for Second Language Learning -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Related Studies -- 2.2 Relevant Concepts -- 3 Methodology -- 4 Implementation -- 4.1 Stage 1: Data Collection -- 4.2 Stage 2: Preparation -- 4.3 Stage 3: Development -- 4.4 Stage 4: Evaluation -- 5 Results Analysis -- 5.1 Usability -- 5.2 Educational Usability -- 5.3 User Experience -- 6 Conclusions, Limitations, and Future Work -- References -- Student Perceptions of the Gamification Process in Virtual Learning Environments at University Level -- 1 Introduction -- 1.1 ICT in Education -- 1.2 Motivati on from the Point of View of Gamification -- 1.3 Gamification as a Teaching -Learning Strategies -- 2 Discussion and Conclusions. -- 2.1 Conclusions -- References -- Mixed Method Research Approach. Defining and Enhancing the Level of Digital Competence Development of University Faculty -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion and Conclusions -- References -- Electronics -- SparksAIR: A Low-Cost IoT Solution to Manage Air Pollution in Urban Areas -- 1 Introduction -- 2 Related Work -- 3 Research Method -- 3.1 Proposed Architecture -- 3.2 Method Proposed -- 4 Result Report -- 4.1 Weekly Analysis of Gas Sensor Data -- 4.2 Gas Sensor Analysis by Day and Hour -- 4.3 Gas Analysis According to Regulations -- 5 Conclusions -- References -- Machine Vision -- A Model to Support the Music Streaming Service Using Blockchain-Based Smart Contracts -- 1 Introduction -- 2 Methodology -- 3 Theoretical Background -- 3.1 Core Concepts: Blockchain and Smart Contract -- 3.2 Hardware and Software -- 3.3 Related Works. 4 Results: Functional Requirements and Model Development -- 4.1 Storage Layer -- 4.2 Business-Logic Layer -- 4.3 User Layer -- 5 Conclusions -- Appendix 1. Smart Contract to Manage Music Tokens -- References -- Security -- Self-adaptive Internet of Things Systems: A Systematic Literature Review -- 1 Introduction -- 2 Related Work -- 3 Research Methods -- 3.1 Planning the Review -- 3.2 Conducting the Review -- 4 Results and Discussion -- 5 Conclusions and Future Work -- References -- Virtual IoT Laboratory Through a Hands-on Approach in Educational Environments -- 1 Introduction -- 2 Materials and Methods -- 2.1 Related Works -- 2.2 Virtual IoT Laboratory -- 3 Results and Discussion -- 3.1 Results -- 3.2 Discussion -- 4 Conclusions -- References -- Technology Trends -- Enterprise Architecture Model for the Mortgage Loan Lending Process in a Financial Institution Using TOGAF -- 1 Introduction -- 2 Method -- 2.1 Stage 1: Business and IT Analysis and Diagnosis -- 2.2 Stage 2: Enterprise Architecture Design -- 2.3 Stage 3: Enterprise Architecture Model Validation -- 3 Results and Discussion -- 3.1 Quantitative -- 3.2 Qualitative -- 3.3 Discussions -- 4 Conclusions -- References -- Adaptive Learning App for ADHD in Lima Schools -- 1 Introduction -- 1.1 Context -- 2 Contribution -- 3 Material and Method -- 3.1 Related Works -- 3.2 Method -- 4 Results -- 5 Conclusions -- Appendix -- References -- MANTRA: Enhancing Worker Safety Through an Integrated BIM-IoT Mobile Application -- 1 Introduction -- 1.1 Context -- 1.2 The Problem -- 1.3 Proposed Solution -- 2 Methodology -- 2.1 App Development -- 2.2 Technologies -- 3 Results -- 3.1 App Implementation -- 3.2 Tests and Validation -- 4 Conclusions and Future Directions -- 4.1 Conclusions -- 4.2 Future Directions -- References. Design and Implementation of an Open Daylight Event Management System Through the Integration of a Business Process Management -- 1 Introduction -- 2 Software-Defined Networking -- 2.1 Literature Review -- 2.2 Software-Defined Network (SDN) -- 2.3 SDN Architecture -- 2.4 SDN Controller -- 3 Methodology -- 3.1 Network Virtualization Phase -- 3.2 Data Entry Phase -- 3.3 Design Phase -- 3.4 Integration Phase -- 4 Analysis of the Results -- 5 Conclusion, Project Constraints and Future Work -- References -- Secure and Compatible Integration of Cloud-Based ERP Solution: A Comprehensive Survey -- 1 Introduction -- 1.1 Motivation -- 1.2 Research Questions -- 2 Background and Literature Review -- 2.1 Cloud-Based ERP Solutions -- 2.2 Significance of ERP Integration -- 2.3 Security Concerns in Cloud-Based ERP Integration -- 2.4 Existing Literature -- 3 Cloud-Based ERP Architecture -- 3.1 Components of Cloud-Based ERP Solutions -- 3.2 Challenges in Cloud-Based ERP Integration -- 4 Security Challenges in Cloud-Based ERP Integration -- 4.1 Data Privacy and Confidentiality -- 4.2 Authentication and Authorization -- 4.3 Data Integrity -- 5 Materials and Methods -- 5.1 Data Collection -- 5.2 Research Instruments -- 5.3 Data Analysis -- 5.4 Ethical Considerations -- 6 Strategies for Secure Integration -- 6.1 Encryption and Secure Integration -- 6.2 Access Controls and Identity Management -- 6.3 Regular Security Audits -- 7 Compatibility Issues -- 7.1 Data Migration Challenges -- 7.2 Interoperability with Existing Systems -- 7.3 System Integration Bottlenecks -- 8 Approaches for Ensuring Compatibility -- 8.1 Standardization Efforts -- 8.2 Role of Middleware in Compatibility -- 8.3 API-Driven Integration -- 9 Case Studies and Examples -- 9.1 Successful Cloud-Based ERP Integrations -- 9.2 Lessons Learned from Integration Failures. 10 Future Trends and Research Directions -- 10.1 Evolving Security Measures -- 10.2 Advancements in Compatibility Solutions -- 11 Result and Discussion -- 11.1 Overview of Findings -- 11.2 User Experience and Adoption Rates -- 11.3 Regulatory Compliance -- 11.4 Scalability and Flexibility -- 11.5 Stakeholder Collaboration -- 11.6 Security Training and Awareness -- 11.7 Cross-Platform Integration -- 12 Conclusion -- References -- Applications of Big Data: A Systematic Review of the Literature from 2013-2022 -- 1 Introduction -- 2 Methodology -- 3 Results -- 3.1 Bibliometric Results -- 3.2 Results of Content -- 4 Conclusions -- References -- CONTINGENT: Advanced Solution to Enhance Cyber Resilience Through Machine Learning Techniques -- 1 Introduction -- 1.1 Context -- 1.2 The Problem -- 1.3 Proposed Solution -- 2 Methodology -- 2.1 Solution Development -- 2.2 Technologies -- 3 Results -- 3.1 Solution Implementation -- 3.2 Tests and Validation -- 4 Conclusions and Future Directions -- 4.1 Conclusions -- 4.2 Future Directions -- References -- Technological System for Improving Physical Performance in Children from 4 to 8 Years Old with High Obesity Rates of Type 1 and 2 Using IoT-Based Wearables in Private Schools in Metropolitan Lima -- 1 Introduction -- 2 Related Work -- 3 Context -- 4 Method -- 5 Experiment -- 5.1 Use of Wearables -- 5.2 Data Comparison -- 5.3 Usability Validation -- 6 Results -- 6.1 Distance Accuracy -- 6.2 Kilo-Calorie Accuracy -- 6.3 Application Usability -- 7 Conclusion -- References -- Process Architecture for the Integration of Outpatient, Hospitalization and Emergency Services in Level III Hospitals in Peru -- 1 Introduction -- 2 Related Work -- 2.1 Process Architecture in the Health Sector -- 2.2 Health System Integration -- 3 Methodology -- 3.1 Current Architecture -- 3.2 Proposed Process Architecture -- 4 Results. 4.1 Time Indicator. |
| Record Nr. | UNINA-9910865258503321 |
|
Botto-Tobar Miguel
|
||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||