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Enterprise Information Systems : 25th International Conference, ICEIS 2023, Prague, Czech Republic, April 24-26, 2023, Revised Selected Papers, Part I
| Enterprise Information Systems : 25th International Conference, ICEIS 2023, Prague, Czech Republic, April 24-26, 2023, Revised Selected Papers, Part I |
| Autore | Filipe Joaquim |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (380 pages) |
| Altri autori (Persone) |
ŚmiałekMichał
BrodskyAlexander HammoudiSlimane |
| Collana | Lecture Notes in Business Information Processing Series |
| ISBN | 3-031-64748-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Databases and Information Systems Integration -- A Preliminary Analysis of the Adoption of Intelligent Information Systems in Colombia -- 1 Introduction -- 2 Literature Review -- 2.1 Planning -- 2.2 Realization -- 2.3 Synthesis and Analysis -- 3 Adoption of Intelligent EIS in Colombia -- 3.1 Focus Group -- 3.2 Synthesis -- 4 Discussion -- 5 Conclusions -- References -- Staged Vector Stream Similarity Search Methods -- 1 Introduction -- 2 Background and Related Work -- 2.1 Neural Network Architectures -- 2.2 Vector Indexing Methods, Libraries, and Search Engines -- 2.3 Online Vector Similarity Search -- 3 SVS - The Family of Staged Vector Stream Similarity Search Methods -- 4 Implementations of the Ingestion Operation -- 4.1 Implementations Based on IVFADC -- 4.2 Implementations Based on HNSW -- 5 Experiments -- 5.1 Experiments with Product Quantization -- 5.2 Experiments with HNSW -- 6 A Classified Ad Retrieval Tool -- 7 Conclusions -- References -- BigQA: A Software Reference Architecture for Big Data Question Answering Systems -- 1 Introduction -- 2 Related Work -- 2.1 Research Proposals -- 2.2 Proprietary Technologies -- 3 Design Principles -- 4 BigQA Architecture -- 4.1 Input Layer -- 4.2 Big Data Storage Layer -- 4.3 Big Querying Layer -- 4.4 Communication Layer -- 4.5 Security Layer -- 4.6 Insights Layer -- 4.7 Architecture Discussion -- 5 Guidelines and Pipelines -- 5.1 Guidelines for Architecture Implementation -- 5.2 Pipelines for Architecture Instantiation -- 6 Case Study: Pharmaceutical Company -- 6.1 Architecture Instantiation -- 6.2 Real-World Queries -- 6.3 Case Study Discussion -- 7 Document Retriever Experiments -- 7.1 Experiment Setup -- 7.2 Experiment Results -- 8 Conclusion -- References.
Navigating Remote Work: Challenges and Adaptations of Agile Teams Amidst Covid-19 -- 1 Introduction -- 2 Related Works -- 2.1 Agile Teams -- 2.2 Software Development and Pandemic and Post Pandemic -- 3 Study Settings -- 3.1 Survey Design -- 3.2 Focus Group Design -- 4 Survey Results -- 4.1 RQ.1.What is the Perception of Agile Teams Related to Productivity, Interaction, Collaboration, and Communication During Working from Home Scenario? -- 4.2 RQ.2. What Are the Tools Used by Agile Teams During Working from Home? -- 4.3 RQ.3. What Are the Challenges Faced by Agile Teams During Working from Home and How Were They Solved or Mitigated? -- 5 Focus Group Results -- 5.1 RQ.4. What Are the Challenges Faced by Agile Teams No Working from Home, Face-to-Face or Hybrid After the Covid-19 Pandemic? -- 6 Threats to Validity -- 7 Conclusions and Future Work -- References -- Artificial Intelligence and Decision Support Systems -- Advancing Particle Size Detection in Mineral Processing: Exploring Edge AI Solutions -- 1 Introduction -- 1.1 Theoretical Background -- 1.2 Artificial Intelligence (AI) -- 1.3 Edge AI -- 1.4 Mask R-CNN -- 2 Related Works -- 2.1 Mask R-CNN Applied to Materials Science and Mining -- 2.2 Deep Learning Applied to Object Segmentation in Materials Science and Mining -- 2.3 Section Remarks -- 3 Experimental Methodology -- 3.1 Dataset -- 3.2 Hyperparameters -- 3.3 Evaluation Metrics -- 4 Results -- 4.1 Experiment 1 - Feeder Screen -- 4.2 Experiment 2 - Conveyor Belt -- 5 Conclusions and Future Work -- References -- Unifying Economic and Language Models for Enhanced Sentiment Analysis of the Oil Market -- 1 Introduction -- 2 Related Work -- 2.1 Market Efficiency and the Role of Sentiment Analysis -- 2.2 Evolution of Sentiment Analysis in Finance -- 2.3 The Advent of the Attention Mechanism and Transformers. 2.4 Language Models for for Sentiment Analysis -- 2.5 The Emergence of Large Language Models -- 3 Methodology -- 3.1 Datasets and Data Sources -- 3.2 Sentiment Classifiers -- 3.3 Data Preprocessing and Normalization -- 4 Evaluation -- 4.1 Interplay of Supply and Demand -- 4.2 Preliminary Analysis -- 4.3 Integration of Language Models with Economic Principles -- 4.4 Evaluation of Fine-Tuning and Prompt Optimization Results -- 4.5 Evaluation of Fine-Tuning and Prompt Optimization Results -- 5 Outlook and Conclusion -- A Appendix -- A.1 Unlabeled Test Dataset -- A.2 Labeled Training Dataset -- A.3 Simulation Prompts -- A.4 Comparative Results of the Preliminary Evaluation -- References -- A Hate Speech Detection Approach Using Transfer Learning with Multiple Idioms -- 1 Introduction -- 2 Experiment Setup -- 2.1 Corpora Used for Hate Speech Detection -- 2.2 Pre-trained Language Models Choice -- 2.3 Hyperparameters -- 2.4 CLL Strategy -- 2.5 Evaluation Metrics -- 3 Results -- 3.1 Baseline Experiment -- 3.2 ZST Strategy Results -- 3.3 JL Strategy Results -- 3.4 CL Strategy Results -- 3.5 JL/CL Strategy Results -- 3.6 JL/CL+ Strategy Results -- 4 Related Work -- 5 Final Remarks -- 6 Future Work -- References -- Analysis of Fuzzy Techniques in Edge Detection -- 1 Introduction -- 2 Methodology -- 2.1 Systematic Literature Review -- 2.2 Definition of Criteria, Search in the Indexing Bases and Obtaining Primary Research -- 2.3 Bibliometric Analysis -- 3 Results and Discussion -- 3.1 State of the Art in Edge Detection (RQG) -- 3.2 Fuzzy Logic-Based Edge Detection Methods (RQF) -- 4 Conclusion -- References -- Studying Patterns of Behavior Profiles in Companies: A Machine Learning Approach for Classifying Archetypes in Texts -- 1 Introduction -- 2 Theoretical Background -- 2.1 People Analytics -- 2.2 Behavior Study -- 2.3 Text Representation. 2.4 Text Classification -- 2.5 Topic Modeling -- 2.6 Explainability -- 3 Related Works -- 3.1 Text on Behavior Classification -- 4 Methodology -- 4.1 PACE -- 4.2 Dataset -- 4.3 Features -- 4.4 Topic Modeling -- 5 Approaches and Experiments -- 5.1 Topic Modeling -- 5.2 Multi-class Classification -- 5.3 Binary Classification -- 5.4 Binary Regression -- 6 Explainability Application -- 7 Social Impact -- 7.1 People Privacy -- 7.2 Technological Replacement -- 8 Conclusion -- References -- Expanding the Capacities of a CNN-Based Ant Counting and Density Estimation Application -- 1 Introduction -- 2 Theoretical References -- 3 Related Works -- 4 Methodology -- 4.1 Solution Overview -- 4.2 Dot Map Generation -- 4.3 Data Augmentation -- 4.4 AI Model Training and Counting System -- 4.5 Evaluation Metrics -- 5 Experimental Results -- 5.1 Results After Data Augmentation -- 6 Conclusions -- References -- Supporting Interpretability in Predictive Process Monitoring Using Process Maps -- 1 Introduction -- 2 Background -- 2.1 Process Mining and Predictive Process Monitoring -- 2.2 Interpretable Predictive Models -- 3 Visual Interpretability for PPM -- 4 Experimental Study -- 4.1 Business Process and Event Log -- 4.2 Preprocessing Procedures -- 4.3 Experiment Setup -- 4.4 Results and Discussion -- 5 Related Work -- 6 Conclusion -- References -- Hybrid Fuzzy Genetic Method to Evolve PID Analog Circuits -- 1 Introduction -- 2 Evolution of Analog Electronic Circuits -- 3 PID Industrial Controllers -- 4 Hybrid Fuzzy Genetic Method -- 4.1 Multi-Objective Optimization Using Fuzzy Aggregation Strategy -- 5 Case Studies -- 5.1 Experimental Stup -- 5.2 First Case Study - Second-Order Plant -- 5.3 Second Case Study: Third-Order Plant -- 5.4 Third Case Study -- 5.5 Fourth Case Study: Time-Delayed Plant -- 5.6 Fifth Case Study: DC Motor -- 6 Conclusions -- References. A Novel Approach to Predict Moisture Content on Wood Using AI -- 1 Introduction -- 2 Theoretical Foundation -- 2.1 Machine Learning and Classification -- 2.2 Dealing with Class Imbalance -- 2.3 Classification Algorithms -- 3 Methodology -- 3.1 The Dataset -- 3.2 Data Structure -- 3.3 Preprocessing the Data -- 3.4 Data Mining -- 4 Results -- 4.1 Empirical Evaluation of the Models -- 4.2 Statistical Analysis -- 4.3 Best Model -- 4.4 Analysis of Failure Cases -- 5 Conclusion -- References -- Connecting Domain Experts and Data: Enriching User-Centric Data Analysis with Neural Network-Aided Data Source Suggestion -- 1 Motivation -- 2 Related Work -- 3 Requirements -- 4 SDRank - Semantic Ranking of Data Sources -- 5 Evaluation -- 5.1 Datasets -- 5.2 Training -- 5.3 Results -- 5.4 Discussion -- 6 Requirements Validation -- 7 Summary and Conclusion -- References -- Forecasting Electricity Price During Extreme Events Using a Hybrid Model of LSTM and ARIMA Architecture -- 1 Introduction -- 1.1 Research Objective -- 2 Background Research -- 2.1 Establishing Conceptual Framework -- 2.2 Extreme Event Categorization -- 2.3 State-of-the-Art Forecasting Models -- 3 Methodologies of Evaluation -- 4 Discussion -- 4.1 Early Development Stage -- 4.2 Current Phase -- 4.3 Remaining Work -- 5 Conclusion -- References -- Information Systems Analysis and Specification -- Analysis of Safety and Cybersecurity Management Systems Interaction in Decision-Making Including Correlation for Automated Driving Systems -- 1 Introduction -- 2 Literature Review -- 2.1 Automated Driving Systems -- 2.2 SMS, CSMS and Their Interaction -- 2.3 DEMATEL Techniques -- 2.4 Correlation Analysis -- 3 Approach and Concept -- 3.1 Survey Approach and Management Factor Identification -- 3.2 Proposed Concept for Correlation Analysis -- 3.3 Spearman Correlation Method. 3.4 Management Factors Interaction Clustering. |
| Record Nr. | UNINA-9910878059003321 |
Filipe Joaquim
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Enterprise Information Systems : 25th International Conference, ICEIS 2023, Prague, Czech Republic, April 24-26, 2023, Revised Selected Papers, Part II
| Enterprise Information Systems : 25th International Conference, ICEIS 2023, Prague, Czech Republic, April 24-26, 2023, Revised Selected Papers, Part II |
| Autore | Filipe Joaquim |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (296 pages) |
| Altri autori (Persone) |
ŚmiałekMichał
BrodskyAlexander HammoudiSlimane |
| Collana | Lecture Notes in Business Information Processing Series |
| ISBN | 3-031-64755-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Software Agents and Internet Computing -- Enhancing Calibration and Reducing Popularity Bias in Recommender Systems -- 1 Introduction -- 2 Related Work -- 3 Problem and Approach -- 3.1 Popularity Division -- 3.2 Grouping Users -- 3.3 Popularity Distributions -- 3.4 Fairness Measure -- 3.5 Calibration -- 4 Experimental Setup -- 4.1 Datasets -- 4.2 Metrics -- 4.3 Evaluation Methodology -- 4.4 Baselines -- 5 Results -- 5.1 Yahoo Movies -- 5.2 MovieLens 20M -- 5.3 Yahoo Songs -- 6 Conclusion -- References -- Mobile Gaming Supported by the Gaming on the Edge Architecture -- 1 Introduction -- 2 Technologies Used -- 2.1 WebRTC -- 2.2 STUN -- 2.3 GStreamer -- 2.4 Hardware Encoding -- 2.5 Motion Compensation -- 2.6 Virtualization -- 3 Related Work -- 3.1 Considerations About the Related Work -- 4 Architecture Overview -- 5 Evaluation -- 5.1 Results Discussion -- 6 Final Considerations -- References -- Ontology Engineering of an IoT System for Monitoring Hypertension -- 1 Introduction -- 2 Research Methodology -- 2.1 Iteration 1: System Based on Internet of Things for Monitoring Patients with Hypertension (SBIoT-MPH) -- 2.2 Iteration 2: Ontology-Driven IoT System for Monitoring Hypertension (ODIoT-SMH) -- 3 ODIoT-SMH Design -- 3.1 ODIoT-SMH Architecture -- 4 ODIoT-SMH Ontology Engineering -- 4.1 Ontology Modularity, Alignment, Merge and Extension -- 4.2 ODIoT-SMH Ontology -- 4.3 Dynamic Analysis and Protégé Implementation -- 5 Discussion -- 6 Related Work -- 7 Conclusion -- References -- Human-Computer Interaction -- Comparative Evaluation of Non-immersive and Immersive Approaches for Upper Limb Rehabilitation: A Performance and Usability Study -- 1 Introduction -- 2 Context of SCI Rehabilitation -- 2.1 Contribution of Occupational Therapy to Spinal Cord Injury Rehabilitation.
2.2 Grasping Techniques in SCI Rehabilitation -- 3 Virtual Reality as a Complement to Traditional Rehabilitation -- 3.1 Virtual Grasp Recognition -- 3.2 Simulation of Object Interaction in Virtual Reality -- 3.3 Box and Block Test (BBT) -- 4 Study of Functional Analysis and Usability -- 4.1 Profile of Study Participants -- 4.2 Clinical Study Setup -- 4.3 Results of the Functional Analysis -- 4.4 Results of the Usability Study -- 4.5 Limitations of the Study -- 5 Conclusions -- References -- Narrowing the Technological Gap by Promoting Small Commerce Through VR and AI for a Lifelike E-Commerce Experience: Needs and Solutions -- 1 Introduction -- 2 Related Work -- 2.1 Virtual Reality Shopping -- 2.2 Recommendation Systems -- 3 Overview of VR-ZOCO -- 3.1 User Interaction Layer -- 3.2 AI Powered Layer -- 3.3 Persistence Layer -- 3.4 Offers Module -- 3.5 Shop Management Module -- 3.6 Output Layer: Bringing Small Commerces to a Virtual Environment -- 4 Needs and Solutions for Lifelike E-Commerce with Virtual Reality -- 4.1 Digitization of Products at Low-Cost with High-Quality -- 4.2 Technologies for Low Cost 3D Scanning at High-Quality -- 4.3 Characteristics for 3D Models Evaluation and Performance Outcomes -- 5 Discussion -- 6 Conclusions and Future Work -- References -- Enterprise Architecture -- Unpacking the Digital Transformation in an Incumbent Context: The Role of Digital Skills -- 1 Introduction -- 2 Literature Review -- 2.1 Digital Skills in Incumbent Organizations -- 2.2 Digital Transformation and Digital Skills -- 3 Methods -- 3.1 Research Design -- 3.2 Data Collection and Data Analysis -- 4 Findings -- 4.1 The Need to Assess and Develop Digital Skills in Green energy: Genesis of Digital Skills& -- People -- 4.2 How Digital Skills Are Assessed and Developed Within the Incumbent Organization. 4.3 Organizational Mechanisms to Facilitate the Integration of Digital Skills Within the Organization -- 4.4 The Role of Digital Champions -- 4.5 Organizational Characteristics and Individual Characteristics that Enable to Act as Digital Champions in the Incumbent Organization -- 5 Discussion -- 6 Conclusion and Implications -- References -- Verification of Correctness and Data-Flow Properties for Workflow Processes in Maude -- 1 Introduction -- 2 Preliminaries -- 3 Workflow Nets with Data -- 4 Specification of Workflow Nets with Data as Rewrite Theories in Maude -- 4.1 Specification of WFD-Nets Static Aspects -- 4.2 Specification of WFD-Nets Behaviour -- 5 Verification of Data-Flow Properties -- 6 Verification of Correctness Properties -- 7 Related Work -- 8 Conclusions -- References -- Blockchain Evolution and Its Impact on Business Models: A Comprehensive Review -- 1 Introduction -- 2 Setting the Stage for the Review -- 2.1 Business Model -- 2.2 The Evolution of Blockchain Applications -- 3 Methodology -- 4 Review of the Literature -- 4.1 Blockchain 1.0 -- 4.2 Blockchain 2.0 -- 4.3 Blockchain 3.0 -- 5 Avenues for Future Research -- 6 Conclusions -- References -- On the Transition from Traditional Retail to Cloud-Supported E-Commerce: A Design Science Project -- 1 Introduction -- 2 Methodology -- 2.1 Systematic Literature Review -- 2.2 Artifact Realization -- 3 Related Work -- 3.1 Modern Retail Environments -- 3.2 Cloud Provider Comparison -- 4 Architecture Development -- 4.1 Capabilities of Modern (E-)Retailing -- 4.2 Matching Cloud Tools with the Capabilities -- 5 Prototype and Evaluation -- 6 Conclusion and Future Improvement -- References -- Challenges as Regards Aligning IT and Business with Agility When Applying the BizDevOps Approach -- 1 Introduction -- 2 Conceptual Context -- 2.1 BizDevOps -- 2.2 Enterprise Architecture. 2.3 Business Capability -- 3 Difficulties and Solutions -- 3.1 Difficulty Dimension: People -- 3.2 Difficulty Dimension: Processes -- 3.3 Difficulty Dimension: Information -- 3.4 Difficulty Dimension: Resources -- 3.5 Specifics Solutions -- 4 Proposals for Agile Alignment of IT and Business -- 4.1 A Holistic First Step: Business Capability -- 5 Related Work -- 6 Conclusions -- Appendix A -- References -- Tackling Alignment Challenges: A Light-Weight Method to Plan Business and IT Co-evolution -- 1 Introduction -- 2 Related Work -- 3 Research Approach -- 4 Alignment Challenges and Solutions -- 5 The Planning Method -- 5.1 Planning Team -- 5.2 Step 1: Set Ambition -- 5.3 Step 2: Define Evolution Steps -- 5.4 Step 3: Compose the Evolution Plan -- 5.5 Step 4: Validate the Evolution Plan -- 5.6 Step 5: Facilitate Initiation and Monitoring -- 5.7 Resources -- 5.8 Meeting Identified Alignment Challenges -- 6 Worked-Out Example -- 7 Evaluation -- 8 Conclusions -- 8.1 Contributions -- 8.2 Solving Alignment Issues -- 8.3 Future Work -- References -- Defining and Evaluating Prudence and Recklessness of Enterprise Architecture Debt -- 1 Introduction -- 2 Related Work -- 3 Systematic Literature Review -- 3.1 Search Scope -- 3.2 Search Strategy -- 3.3 Study Selection Criteria -- 3.4 Study Selection Process -- 3.5 Data Extraction -- 3.6 Data Synthesis -- 4 Definition of Prudence and Recklessness in EA Debt -- 4.1 Prudence -- 4.2 Recklessness -- 5 Evaluating Prudence of EA Debt -- 5.1 Prudence Evaluation Process -- 5.2 Applying the Prudence Evaluation Process - An Example -- 6 Interviews with EA Debt Experts -- 6.1 The Expert Interviews -- 6.2 Part 1: Participants' Background -- 6.3 Part 2: Feedback on the Proposed Definitions -- 6.4 Part 3: Feedback on the Proposed Process -- 7 Results from Expert Interviews -- 7.1 Refined Definitions. 7.2 Findings on the Process' Applicability -- 8 Study Contributions and Validity -- 8.1 Contributions -- 8.2 Threats to Validity -- 9 Conclusions and Future Work -- References -- Advancing Toward a Reference Ontology for Enterprise Architecture Mining from APIs -- 1 Introduction -- 2 Motivation -- 3 Research Background -- 4 Ontology Development Methodology -- 5 The Ontology for EA Mining from APIs -- 5.1 Purpose Identification -- 5.2 Ontology Requirements -- 5.3 Ontology Capture and Formalization -- 5.4 Demonstration -- 6 Evaluation and Verification -- 6.1 Evaluation Process -- 6.2 Evaluation Roles -- 6.3 Evaluation Material -- 6.4 Evaluation Criteria -- 7 Discussion -- 8 Conclusion and Future Work -- References -- Author Index. |
| Record Nr. | UNINA-9910878051503321 |
|
Filipe Joaquim
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Enterprise Information Systems [[electronic resource] ] : 24th International Conference, ICEIS 2022, Virtual Event, April 25–27, 2022, Revised Selected Papers / / edited by Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi
| Enterprise Information Systems [[electronic resource] ] : 24th International Conference, ICEIS 2022, Virtual Event, April 25–27, 2022, Revised Selected Papers / / edited by Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi |
| Autore | Filipe Joaquim |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (439 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
ŚmiałekMichał
BrodskyAlexander HammoudiSlimane |
| Collana | Lecture Notes in Business Information Processing |
| Soggetto topico |
Information technology - Management
Artificial intelligence Business information services Quantitative research Software engineering Computer Application in Administrative Data Processing Artificial Intelligence Enterprise Architecture Data Analysis and Big Data Software Engineering |
| ISBN | 3-031-39386-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Databases and Information Systems Integration -- Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective -- A Storage Location Assignment Problem with Incompatibility and Isolation Constraints: an Iterated Local Search Approach -- Using IoT Technology for the Skilled Crafts -- Implementation Solutions for FAIR Clinical Research Data Management -- Artificial Intelligence and Decision Support Systems -- Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data -- Resource Planning in Workflow Nets based on a Symbolic Time Constraint Propagation Mechanism -- Implementation of the Maintenance Cost Optimization Function in Manufacturing Execution Systems -- Quantitative Comparison of Translation by Transformers-based Neural Network Models -- OptiViTh: A Decision Guidance Framework and System for Design, Analysis and Optimization of Cloud-Manufactured Virtual Things -- Ecient Deep Neural Network Training Techniques for Overtting Avoidance -- Eect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks -- Information Systems Analysis and Specification -- Modelling Software Tasks for Supporting Resource-driven Adaptation -- A Critical View on the OQuaRE Ontology Quality Framework -- Successful Practices in Industry-Academy Collaboration in the Context of Software Agility: A Systematic Review of the Literature -- Human-Computer Interaction -- Distance Digital Learning for Adult Learners: Self-paced e-Learning on Business Information Systems -- Human-Computer Interaction. Ethical Perspectives on Technology and Its (Mis)uses -- Enterprise Architecture -- Meet2Map: A Framework to Support BPM Projects Implementation Collaboratively -- The Factors of Enterprise Business Architecture Readiness in Organisations -- A Specification of How to Extract Relevant Process Details to Improve Process Models -- Considering User Preferences during Business Process Execution using Content-based Filtering. |
| Record Nr. | UNISA-996546831803316 |
|
Filipe Joaquim
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Enterprise Information Systems : 24th International Conference, ICEIS 2022, Virtual Event, April 25–27, 2022, Revised Selected Papers / / edited by Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi
| Enterprise Information Systems : 24th International Conference, ICEIS 2022, Virtual Event, April 25–27, 2022, Revised Selected Papers / / edited by Joaquim Filipe, Michał Śmiałek, Alexander Brodsky, Slimane Hammoudi |
| Autore | Filipe Joaquim |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (439 pages) |
| Disciplina |
005.3
658.4038011 |
| Altri autori (Persone) |
ŚmiałekMichał
BrodskyAlexander HammoudiSlimane |
| Collana | Lecture Notes in Business Information Processing |
| Soggetto topico |
Information technology - Management
Artificial intelligence Business information services Quantitative research Software engineering Computer Application in Administrative Data Processing Artificial Intelligence Enterprise Architecture Data Analysis and Big Data Software Engineering |
| ISBN | 3-031-39386-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Databases and Information Systems Integration -- Balancing Simplicity and Complexity in Modeling Mined Business Processes: A User Perspective -- A Storage Location Assignment Problem with Incompatibility and Isolation Constraints: an Iterated Local Search Approach -- Using IoT Technology for the Skilled Crafts -- Implementation Solutions for FAIR Clinical Research Data Management -- Artificial Intelligence and Decision Support Systems -- Visual Interactive Exploration and Labeling of Large Volumes of Industrial Time Series Data -- Resource Planning in Workflow Nets based on a Symbolic Time Constraint Propagation Mechanism -- Implementation of the Maintenance Cost Optimization Function in Manufacturing Execution Systems -- Quantitative Comparison of Translation by Transformers-based Neural Network Models -- OptiViTh: A Decision Guidance Framework and System for Design, Analysis and Optimization of Cloud-Manufactured Virtual Things -- Ecient Deep Neural Network Training Techniques for Overtting Avoidance -- Eect of Convulsion Layers and Hyper-parameters on the Behavior of Adversarial Neural Networks -- Information Systems Analysis and Specification -- Modelling Software Tasks for Supporting Resource-driven Adaptation -- A Critical View on the OQuaRE Ontology Quality Framework -- Successful Practices in Industry-Academy Collaboration in the Context of Software Agility: A Systematic Review of the Literature -- Human-Computer Interaction -- Distance Digital Learning for Adult Learners: Self-paced e-Learning on Business Information Systems -- Human-Computer Interaction. Ethical Perspectives on Technology and Its (Mis)uses -- Enterprise Architecture -- Meet2Map: A Framework to Support BPM Projects Implementation Collaboratively -- The Factors of Enterprise Business Architecture Readiness in Organisations -- A Specification of How to Extract Relevant Process Details to Improve Process Models -- Considering User Preferences during Business Process Execution using Content-based Filtering. |
| Record Nr. | UNINA-9910736007403321 |
|
Filipe Joaquim
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Robotics, Computer Vision and Intelligent Systems : 4th International Conference, ROBOVIS 2024, Rome, Italy, February 25-27, 2024, Proceedings
| Robotics, Computer Vision and Intelligent Systems : 4th International Conference, ROBOVIS 2024, Rome, Italy, February 25-27, 2024, Proceedings |
| Autore | Filipe Joaquim |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (490 pages) |
| Altri autori (Persone) | RöningJuha |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 3-031-59057-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Invited Speakers -- Learning with Privileged Information and Distillation for Multimodal Video Classification -- There's Plenty of Room at the Bottom: Opportunites and Challenges for Microrobotics -- Physical Models and Machine Learning for Photography and Astronomy -- Contents -- Compute Optimal Waiting Times for Collaborative Route Planning -- 1 Introduction -- 2 Related Work -- 3 Optimal Waiting Times -- 3.1 Introductory Considerations -- 3.2 Model and Definitions -- 3.3 The Idea -- 3.4 The Algorithm -- 4 Extending the Approach for Collaborative Routing -- 4.1 Introduction -- 4.2 Critical Collisions -- 4.3 Resolving Critical Collisions -- 4.4 Putting All Together -- 5 Evaluation -- 6 Conclusions -- References -- Robot Vision and Deep Learning for Automated Planogram Compliance in Retail -- 1 Introduction -- 2 Images Capturing and Shelves Image Reconstruction -- 2.1 Robot Vision System and Images Capturing -- 2.2 Shelves Image Reconstruction -- 3 Planogram and Database -- 4 Object Detection -- 5 Planogram Compliance -- 6 Experimental Results -- 7 Conclusions -- References -- Park Marking Detection and Tracking Based on a Vehicle On-Board System of Fisheye Cameras -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Surround View System -- 3.2 Park Marking Detection -- 3.3 3D Ground Projection -- 3.4 Tracking and Multi-camera Fusion -- 4 Experiments -- 4.1 Dataset -- 4.2 Quantitative Results -- 4.3 Qualitative Results -- 5 Conclusions -- References -- Analysis of Age Invariant Face Recognition Efficiency Using Face Feature Vectors -- 1 Introduction -- 2 Previous Work -- 3 Face Recognition Methods -- 3.1 InsightFace -- 4 Datasets -- 4.1 AgeDB -- 4.2 CASIA -- 4.3 LFW -- 5 Measurements Used in the Experiments -- 5.1 Similarity Between FFVs -- 5.2 Mean Average Precision -- 5.3 Bhattacharyya Measurements.
6 Results -- 6.1 Similarity Distributions -- 6.2 Pipeline Performance -- 6.3 Age Group Performance -- 6.4 Correlation Between Measurements -- 7 Discussion -- 8 Conclusion -- 8.1 Future Work -- References -- Uncertainty Driven Active Learning for Image Segmentation in Underwater Inspection -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Experimental Evaluation -- 5 Conclusion -- References -- Enhancing Connected Cooperative ADAS: Deep Learning Perception in an Embedded System Utilizing Fisheye Cameras -- 1 Introduction -- 2 Related Work -- 3 System Architecture -- 4 Perception -- 4.1 Embedded Computing -- 5 V2X Communication -- 6 LDM -- 7 Applications -- 8 Experiments and Results -- 8.1 Experimental Setup -- 8.2 Perception Evaluation -- 8.3 Communication Evaluation -- 8.4 System Limits -- 9 Conclusions -- References -- Weapon Detection Using PTZ Cameras -- 1 Introduction -- 2 Related Work -- 3 Tracking/Zoom System -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Model Training -- 4.3 Results -- 5 Conclusions and Future Work -- References -- Improving Semantic Mapping with Prior Object Dimensions Extracted from 3D Models -- 1 Introduction -- 2 Method Description -- 2.1 The Overall Semantic Mapping Process -- 2.2 Prior Knowledge -- 2.3 2D Geometric Association Method -- 2.4 Algorithm Description -- 3 Experimentation -- 3.1 Experimental Setup -- 3.2 Tuning the Scoring Function Weights -- 3.3 Evaluation of Polygon Simplification and Foreground Edges Selection -- 3.4 Evaluation of the Association Algorithm -- 4 Conclusion and Perspectives -- References -- Offline Deep Model Predictive Control (MPC) for Visual Navigation -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Simulation Environment -- 3.2 Future Image Prediction, ViewNet -- 3.3 Control Policy with VelocityNet -- 3.4 Training VelocityNet. 3.5 Visual Trajectory Following with VelocityNet, Control Algorithm -- 4 Experimental Setup -- 4.1 Network Structure -- 4.2 Training -- 4.3 Parameters -- 5 Results Analysis -- 5.1 Linear Translation -- 5.2 Pure Rotation -- 5.3 Combined Translation and Rotation -- 5.4 Statistical Analysis -- 6 Conclusion -- References -- BiGSiD: Bionic Grasping with Edge-AI Slip Detection -- 1 Introduction -- 2 Related Work -- 3 Data Collection -- 3.1 Hardware Setting -- 3.2 Dataset -- 4 Proposed Method and Training the Model -- 4.1 Proposed Method -- 4.2 Training the Model -- 4.3 Experiments and Results -- 5 AI Edge-Device -- 5.1 Bringing AI to the Edge-Device -- 6 Conclusion -- References -- GAT-POSE: Graph Autoencoder-Transformer Fusion for Future Pose Prediction -- 1 Introduction -- 2 Related Works -- 2.1 Probabilistic Prediction -- 2.2 Deterministic Prediction -- 3 Methodology -- 3.1 Problem Formulation -- 3.2 Tokenization -- 3.3 Transformer Autoencoder with Future Masking -- 4 Experiment and Evaluation -- 4.1 Human3.6M -- 4.2 Evaluation Metrics -- 4.3 Results and Comparative Analysis -- 5 Conclusions and Future Work -- References -- UCorr: Wire Detection and Depth Estimation for Autonomous Drones -- 1 Introduction -- 2 Related Work -- 2.1 Wire Detection -- 2.2 Depth Estimation -- 3 Method -- 3.1 Motivation -- 3.2 UCorr Network Architecture -- 3.3 Loss Function -- 4 Experiments -- 4.1 Data -- 4.2 Metrics -- 4.3 Training -- 4.4 Results -- 4.5 Ablation Studies -- 5 Discussion -- 6 Conclusion -- References -- A Quality-Based Criteria for Efficient View Selection -- 1 Introduction -- 2 Next-Best-View Selection -- 3 Selected NBV Algorithm -- 3.1 A Global Max-Flow Based Method -- 3.2 Problem Adaptation for Accuracy Improvement -- 4 Estimation of 3D Model Quality -- 4.1 From Existing 3D Quality Metrics... -- 4.2 ...to a Quality Metric for NBV. 5 Experiments on Simulated Data -- 5.1 Experimental Setup -- 5.2 Results and Analysis -- 6 Experiments on Synthetic Images -- 6.1 Experimental Setup -- 6.2 Results and Analysis -- 7 Conclusion -- References -- Multi-UAV Weed Spraying -- 1 Introduction -- 2 Problem Definition -- 3 Proposed System -- 3.1 Clustering -- 3.2 Finding the Proper Way-Points -- 3.3 Path-Planning -- 3.4 Online Collision Avoidance -- 4 Mapping -- 5 Spraying Technical Information -- 6 Experimentation -- 7 Conclusion and Future Work -- References -- Human Comfort Factors in People Navigation: Literature Review, Taxonomy and Framework -- 1 Introduction -- 2 People Navigation: Definition, Review and Classification -- 2.1 Definitions -- 2.2 Related Systematic Review -- 2.3 Taxonomy -- 3 Human Comfort Factors in People Navigation -- 3.1 Human Comfort Factors in Navigation Systems -- 3.2 Summary of Human Comfort Factors in People Navigation -- 4 Towards a People Navigation Framework -- 4.1 Human-Aware Navigation -- 4.2 Implementing Passenger Comfort Factors -- 5 Conclusion -- References -- Region Prediction for Efficient Robot Localization on Large Maps -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology -- 3.1 Map Clustering -- 3.2 Region Prediction -- 3.3 Integration in RTAB-Map -- 4 Experiments and Results -- 4.1 Prediction Accuracy -- 4.2 Loop Closure Detection -- 4.3 Pose Estimation Accuracy -- 5 Conclusions and Future Works -- References -- Utilizing Dataset Affinity Prediction in Object Detection to Assess Training Data -- 1 Introduction and Related Work -- 2 Dataset Affinity Prediction -- 3 Dataset Alignment -- 4 Evaluation -- 5 Conclusion -- References -- Optimizing Mobile Robot Navigation Through Neuro-Symbolic Fusion of Deep Deterministic Policy Gradient (DDPG) and Fuzzy Logic -- 1 Introduction -- 1.1 Deep Deterministic Policy Gradient Algorithm. 1.2 Neuro-Symbolic Approach Through Fuzzy Logic in Reward Function -- 2 Methods -- 2.1 Overview of the Hybrid System Architecture of DDPG and Fuzzy Logic -- 2.2 Constructing DDPG Agent -- 2.3 Constructing Reward Function Using Fuzzy Logic -- 2.4 Agents' Training -- 3 Experiments and Results -- 3.1 DDPG Agent Training Results -- 3.2 Mobile Robot Simulation Results -- 4 Discussions -- 4.1 Overall Reward for DDPG Training -- 4.2 Mobile Robot Simulation Performance -- 4.3 Implementation of Fuzzy Logic in Reward Function -- 5 Conclusion -- References -- DAFDeTr: Deformable Attention Fusion Based 3D Detection Transformer -- 1 Introduction -- 2 Related Work -- 2.1 LiDAR-Only Approaches -- 2.2 Multi-modal Approaches -- 3 Methodology -- 3.1 Backbones -- 3.2 LiDAR Encoder -- 3.3 Query Initialization -- 3.4 LiDAR Decoder -- 3.5 Image Decoder -- 3.6 Loss -- 4 Experiments -- 4.1 Implementation Details -- 4.2 Results and Discussion -- 4.3 Ablation Studies -- 4.4 Qualitative Results -- 5 Conclusion -- References -- MDC-Net: Multimodal Detection and Captioning Network for Steel Surface Defects -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Description -- 3.2 Dataset Preprocessing -- 3.3 Model Architecture -- 4 Implementation and Training -- 4.1 Hyperparameter Optimization -- 4.2 Reproducibility and Model Consistency -- 4.3 Loss Function and Optimization -- 5 Results and Discussion -- 6 Conclusion and Future Direction -- References -- Operational Modeling of Temporal Intervals for Intelligent Systems -- 1 Introduction -- 2 Proposed Approach -- 3 Application and Discussion -- 4 Conclusions -- References -- A Meta-MDP Approach for Information Gathering Heterogeneous Multi-agent Systems -- 1 Introduction -- 2 Background -- 2.1 Markov Decision Process -- 2.2 Partially Observable Markov Decision Process -- 3 Model -- 3.1 The Exploration POMDPs. 3.2 The Meta-MDP. |
| Record Nr. | UNINA-9910857796303321 |
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Filipe Joaquim
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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