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Emerging Technologies for Education : 8th International Symposium, SETE 2023, Sydney, Australia, November 26-28, 2023, Revised Selected Papers, Part I
| Emerging Technologies for Education : 8th International Symposium, SETE 2023, Sydney, Australia, November 26-28, 2023, Revised Selected Papers, Part I |
| Autore | Kubincová Zuzana |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (349 pages) |
| Altri autori (Persone) |
HaoTianyong
CapuanoNicola TemperiniMarco GeShili MuYuanyuan FantozziPaolo YangJing |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 9789819742431 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- SETE Main Track -- Perceptions of High School Mathematics Students in the Use of Technologies for Educational Purposes -- 1 Introduction -- 1.1 Objectives -- 2 Materials and Methods -- 2.1 Participants -- 2.2 Instrument -- 2.3 Instrument Validation -- 2.4 Data Set Key Variables -- 2.5 Data Collect Process -- 3 Results and Discussion -- 4 Conclusion -- References -- Social Innovation on Educational AI Developments. A Case Study on Social Participation on Designing AI Generative Models for Diversity -- 1 Introduction -- 1.1 Stay of the Art: Cognitive Diversity and Easy-to-Read Solutions -- 1.2 The Relevance of Validation in AI Tools for Easy-Reading -- 2 Methodology -- 2.1 Cognitive Accessibility Experts and End Users -- 2.2 Experts and Public Participation to Avoid Social Biases -- 2.3 Validation of Legal Translations: Steps to Improve Legal Accuracy -- 2.4 AI Solutions to Integrate Participation and Validation -- 3 Conclusion -- References -- Empowering Collaboration Through Immersive Technologies: Fostering Intercultural Competencies -- 1 Introduction -- 2 Methodology -- 3 Results -- 4 Discussion and Conclusions -- References -- Investigating the Adoption of Machine Translation in Foreign Language Learning: The Instructors' Perspective -- 1 Introduction -- 2 Related Works and Background -- 3 Method -- 3.1 MT Quality Evaluation -- 3.2 Survey Study with Instructors -- 4 Results -- 4.1 MT Quality Results -- 4.2 Survey Results -- 5 Discussion and Limitations -- 6 Conclusion -- References -- On the Dynamic Generation of Items Within an Assessment Test Using Genetic Algorithms -- 1 Introduction -- 2 Literature Review -- 3 Model Description -- 3.1 General Considerations -- 3.2 Components -- 3.3 Requirements -- 3.4 Generations of the Items and Sequences of Items.
4 Discussions and Results -- 5 Conclusions -- References -- Engagement at a Distance: Online Instructor Behaviors to Encourage Student Success -- 1 Introduction -- 2 Review of Related Literature -- 3 Methodology -- 4 Online Instructor Behaviors Supporting Student Success -- 4.1 Behavior 1: Managing Time and Commitments -- 4.2 Behavior 2: Personalized and Timely Feedback -- 4.3 Behavior 3: Soliciting Feedback from Students -- 4.4 Behavior 4: Active Use of the Online Learning Platform -- 4.5 Behavior 5: Peer to Peer Support -- 4.6 Behavior 6: Ensure Students Have Timely Access to Technical Support -- 4.7 Evaluating the Effectiveness of the Instructor Behaviors -- 5 Conclusion -- References -- EduPort: An Intelligent Learning System Based on Deep Learning - A Preliminary Evaluation -- 1 Introduction -- 2 Related Work -- 3 The Eduport System -- 3.1 The Architecture -- 3.2 The Implementation -- 4 First Evaluation -- 4.1 Method -- 4.2 Results -- 4.3 Discussion -- 5 Conclusion -- References -- Examining the Technological Pedagogical Content Knowledge (TPACK) of Biology Educators: A Case Study on Pre-service and In-service Teachers in Preparation for Applying STEM Education -- 1 Introduction -- 2 Literature Review -- 2.1 STEM Education -- 2.2 Pre-service and In-service Biology Teacher in Mainland China -- 2.3 Theoretical Framework of STEM-TPACK -- 3 Methodology -- 3.1 Research Design -- 3.2 Data Collection -- 3.3 Data Analysis -- 3.4 Ethical Measures -- 4 Results and Findings -- 4.1 TPACK Differences in Implementing STEM Education Between the Pre-service and In-service Biology Teachers -- 4.2 Strengths and Weaknesses -- 4.3 In-service Teachers' Suggestions -- 5 Discussion -- 5.1 Interpretations of Research Findings -- 5.2 Comparison with the Results and Findings in Other Studies -- 5.3 Limitations and Suggestions -- 6 Conclusion -- References. Online Performance Prediction Combined Prior Knowledge and Deep Learning Models -- 1 Introduction -- 2 Related Work -- 3 Dataset -- 3.1 Data Description -- 3.2 Data Preparation -- 4 Proposed Model -- 5 Experiment and Result Analysis -- 5.1 Experimental Settings -- 5.2 Result Analysis -- 5.3 Discussion -- 6 Conclusion and Future Work -- Appendix -- References -- On the Impact of Augmented Reality for Rehabilitation Treatment: Early Results from a Study with Children -- 1 Introduction -- 2 Background -- 3 The Study -- 3.1 Materials and Methods -- 3.2 Results -- 3.3 Discussion -- 4 Conclusions -- References -- Oriented Classroom Instructional Behavior Recognition Benchmark -- 1 Introduction -- 2 Data Processing and Analysis -- 2.1 Data Annotation -- 2.2 Data Collection -- 2.3 Behavior Marking -- 3 Experiments and Analysis -- 3.1 Dataset Splits -- 3.2 Model and Setting -- 3.3 Evaluation and Analysis -- 3.4 Discussion -- 4 Conclusion and Future Research -- References -- An Approach to Teach Text Analysis to Digital Humanists, a Qualitative Evaluation -- 1 Introduction -- 2 An Approach to Quantitative Content Analysis of Literary Texts -- 3 Evaluation -- 3.1 Participants -- 3.2 Method -- 3.3 Instruments -- 3.4 Case Studies Analysis -- 3.5 Case Studies Results -- 4 Conclusions and Future Work -- References -- Artificial Intelligence and Learning of Students with Dyslexia: A Brief Review -- 1 Introduction -- 2 Dyslexia -- 3 Methods -- 3.1 The Eligibility Criteria -- 3.2 The Information Sources -- 3.3 The Search Strategy -- 3.4 The Selection Process -- 3.5 The Data Collection Process -- 3.6 Data Items -- 3.7 The Risk of Bias Assessment -- 3.8 Effect Methods -- 4 Results -- 4.1 Identification -- 4.2 Screening -- 4.3 Inclusion -- 5 Discussion -- 6 Conclusions and Future Plans -- References -- Workshop CLNN. Proficiency Effect on the Development of L2 Derivational Knowledge -- 1 Introduction -- 2 Literature Review -- 2.1 Derivational Awareness and Three Aspects of Derivational Knowledge -- 2.2 L2 Derivational Knowledge and L2 Proficiency -- 3 The Present Study -- 4 Methodology -- 4.1 Participants -- 4.2 Research Design -- 4.3 Data Collection Procedures -- 4.4 Data Analysis -- 5 Results -- 5.1 Relationships Between L2 Proficiency and Three Aspects of L2 Derivational Knowledge -- 5.2 Effects of L2 Proficiency, Aspect of Knowledge, and Well-Formedness on L2 Derivational Knowledge -- 6 Discussion -- 7 Conclusion -- 8 Funding Acknowledgement -- References -- Mental Simulation of Implied Orientation Information in Chinese Sentences -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Participants -- 3.2 Pre-test -- 3.3 Materials -- 3.4 Design and Procedure -- 3.5 Post-test of Mental Imagery -- 4 Results -- 4.1 Effects of Mental Simulation on Language Comprehension -- 4.2 Explorations of Mental Imagery -- 5 Discussion -- 6 Conclusion -- References -- Workshop DLCCE -- Reliability of Effort Indicators for Human Translation and Post-editing of Machine Translation: An Eye Tracking and Keylogging Study Involving Student Translators -- 1 Introduction -- 2 Selection of Effort Indicators -- 3 The Eye-Tracking and Key-Logging Experiment -- 3.1 Participants -- 3.2 Tools -- 3.3 Experiment Procedure -- 4 Data Analyses and Discussion -- 4.1 Processing of Data -- 4.2 Correlation Tests -- 4.3 Factor Analyses -- 5 Implications and Conclusion -- References -- Translation Practice and Competence Enhancement in the Age of AI: Applying ChatGPT to Translation Education -- 1 Introduction -- 2 Translation Education in the Age of AI -- 2.1 Translation Education and Technologies -- 2.2 ChatGPT and Its Potential in Translation Education. 3 Translation Competence in the Age of AI -- 4 ChatGPT-Facilitated Translation Education -- 4.1 ChatGPT-Facilitated Translation Practice -- 4.2 ChatGPT-Facilitated Translation Competence Enhancement -- 5 Discussion -- 6 Conclusion -- References -- Designing an Integrated Teaching Model of College English Course Assisted by Digital Platforms -- 1 Introduction -- 2 Integration of Internet and Information Technology in College English Course -- 2.1 Literature Review -- 2.2 Categorizing of Platforms Applied in HFUT -- 3 Designing and Application of an Integrated Teaching Model in HFUT -- 3.1 Participants -- 3.2 Procedures -- 4 Analysis of Questionnaire and One-to-One Interviews -- 5 Conclusion -- References -- Knowledge-Network-Based Translation Learning and Learners' Perception -- 1 Introduction -- 2 Literature Review -- 3 Applicability of ClinkNotes: Users' Perceptions -- 3.1 Participants -- 3.2 Questionnaire -- 3.3 Procedures -- 4 Analysis of the Questionnaire -- 5 Findings -- 6 Conclusion -- References -- The Influencing Factors of Learning Motivation in the Computer-Aided Speaking Course: An Empirical Approach -- 1 Introduction -- 2 Dornyei's Motivation Theory -- 3 The Experiment -- 3.1 Participants -- 3.2 Procedure -- 3.3 Data Analysis -- 4 Discussion -- 5 Conclusion -- References -- An Experiment on Translation Education Information System Driven-By Knowledge Network Management -- 1 Introduction -- 2 Translation Education Information System -- 3 Textwells and Knowledge Network Management -- 4 An Experiment on Textwells -- 4.1 Translation Course Design -- 4.2 Semi-construction Questionnaire -- 5 Statistical Analysis and Findings -- 5.1 Test Score and Translation Knowledge -- 5.2 Questionnaire Data -- 6 Conclusion -- References. Chinese Students' Perception and Demand on AI Assisted Interpretation Technology and Its Implication on Education of Interpreters. |
| Record Nr. | UNINA-9910874657103321 |
Kubincová Zuzana
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| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Emerging Technologies for Education : 8th International Symposium, SETE 2023, Sydney, Australia, November 26-28, 2023, Revised Selected Papers, Part II
| Emerging Technologies for Education : 8th International Symposium, SETE 2023, Sydney, Australia, November 26-28, 2023, Revised Selected Papers, Part II |
| Autore | Kubincová Zuzana |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (289 pages) |
| Altri autori (Persone) |
HaoTianyong
CapuanoNicola TemperiniMarco GeShili MuYuanyuan FantozziPaolo YangJing |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 9789819742462 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Workshop ETLL -- A Model of Risk Factors in Remote Interpreting -- 1 Introduction -- 2 Literature -- 3 Risk Factors in Remote Interpreting -- 3.1 Environment, Software and Hardware, and Competence Risks -- 3.2 Content, Equipment and Professional Risks -- 3.3 Communication Risks -- 3.4 Collaboration Risks -- 3.5 Technical Risks -- 3.6 Remuneration Risks -- 3.7 IPR Risks -- 4 Conclusion -- References -- English-Chinese Translation of Adpositional Structures Under the Guidance of Clause Complex Theory -- 1 Introduction -- 2 Chinese and English Clause Complex -- 3 PTA Model -- 3.1 Parsing -- 3.2 Translating -- 3.3 Assembling -- 4 Translating Adpositional Structures -- 4.1 Translating Prepositional Structures -- 4.2 Translating Postpositional Structures -- 4.3 Translating Circumpositional Structures -- 5 Conclusion -- References -- Exploring Learner Engagement with the AWE-Peer-Teacher Feedback Mode in L2 Writing -- 1 Introduction -- 2 Literature Review -- 2.1 Conceptualizing Learner Engagement with Feedback -- 2.2 Teacher, Automated, and Peer Feedback in L2 Writing -- 2.3 Learner Engagement with Feedback in L2 Writing -- 3 Methods -- 3.1 Participants -- 3.2 Instruments -- 3.3 Data Collection and Analysis -- 4 Findings and Discussion -- 4.1 The Impact of the AWE-Peer-Teacher Feedback Mode on Learner Engagement -- 4.2 The Impact of the AWE-Peer-Teacher Feedback Mode on L2 Writing Performance -- 5 Conclusion -- References -- Exploring Interaction Patterns in Web-Based Collaborative Writing Tasks Among Advanced L2 Learners: A Case Study Using Feishu Platform -- 1 Introduction -- 2 Literature Review -- 2.1 Collaborative Writing and Interaction Patterns -- 2.2 Collaborative Writing in the TMC (Technology-Mediated Communication) Context -- 3 Methodology -- 3.1 Research Context.
3.2 Participants -- 3.3 The Collaborative Tool: Feishu -- 3.4 Data Collection -- 3.5 Data Analysis -- 4 Results -- 4.1 Interaction Patterns -- 4.2 Factors Explaining the Patterns -- 5 Discussion -- 6 Conclusion -- References -- Blended Teaching Approach to Online "Comprehensive English" Course: An Experimental Study -- 1 Introduction -- 2 Literature Review -- 3 Experimental Investigation on Blended Teaching -- 3.1 Course Introduction -- 3.2 Research Objects -- 3.3 Research Questions -- 3.4 Research Duration -- 3.5 The Implementation of Blended Teaching -- 3.6 Data Collection and Analysis -- 4 Experimental Results -- 4.1 It Enhances Students' Autonomous Learning -- 4.2 It Has Improved Students' Academic Performance -- 5 Reconsider the Topic for Discussion -- 5.1 It Promotes Students' Active Learning -- 5.2 It Improves Students' Capacity for Analyzing, Solving, and Articulating Problems -- 5.3 It Transforms the Traditional Classroom into a Space for Solving the Learning Problem and a Stage for Showing the Learning Outcomes -- 5.4 It Cultivates and Enhances Students' Information Literacy -- 6 Conclusion -- References -- A Review of Opportunities and Challenges of Artificial Intelligence Chatbots in Second Language Acquisition -- 1 Introduction -- 2 Early AI Chatbots and SLA -- 2.1 The Advent of AI Chatbots -- 2.2 The Application of Early AI Chatbots in SLA -- 3 ChatGPT and Second Language Acquisition -- 3.1 The Advent of ChatGPT -- 3.2 The Application of ChatGPT in Second Language Acquisition -- 4 Discussion and Conclusion -- References -- Bridging Knowledge and Technology: Constructing a Knowledge-Driven Repository with 3D CNN for Interpreting Education -- 1 Introduction -- 2 Related Works -- 3 Design -- 3.1 Construction of a Knowledge Graph for Interpreting Knowledge and Skills. 3.2 Classifying Videos for Interpreting Learning by 3D Convolutional Neural Networks -- 4 Applications -- 5 Conclusion -- References -- A Multimodal Evaluation of Test Reliability and Validity Based on MTMM -- 1 Introduction -- 2 Data and Methods -- 2.1 Data Description -- 2.2 Tools and Methods -- 3 Results and Discussion -- 3.1 Score Distribution -- 3.2 Reliability Evaluation -- 3.3 Validity Analyses -- 4 Conclusion -- References -- Decoding Chinese Discourse Structure: A Corpus-Based Annotation System for Clause Complexes Analysis -- 1 Introduction -- 2 Related Work -- 3 Theoretical Framework -- 4 Designing Guideline -- 4.1 Raw Data and Segmentation -- 4.2 Annotation Procedures -- 4.3 A Practical Walkthrough of the Guideline -- 5 Conclusion -- References -- Revolutionizing Programming Language Education with Generative AI: Knowledge Enrichment and Adaptive Learning/Teaching Framework -- 1 Introduction -- 2 Related Work -- 2.1 Generative AI in Software Engineering -- 2.2 AI in Language Learning -- 3 Approach -- 3.1 Knowledge Enrichment and Adaptive Learning/Teaching Framework -- 3.2 Preprocessing Process -- 3.3 Data Processing and Knowledge Synthesis -- 4 Knowledge Enrichment and Adaptive Learning/Teaching Framework's Deployment -- 5 Evaluation -- 5.1 Participant Collection -- 5.2 Satisfaction Level -- 6 Conclusion -- References -- An Analysis of Transitivity and Visual Mode in Science Documentary: A Case Study of War of the Galaxies -- 1 Introduction -- 2 War of the Galaxies -- 3 Previous Studies about Multimodal Discourse Analysis and Documentary -- 4 Theoretical Framework -- 4.1 Transitivity in Functional Grammar -- 4.2 Visual Grammar -- 5 The Cooperation of Transitivity and Visual Mode in War of the Galaxies: Analysis and Discussion -- 5.1 Material Process -- 5.2 Relational Process -- 5.3 Mental Process -- 5.4 Existential Process. 5.5 The Cooperation of Verbal Process and Visual Mode -- 6 Conclusion -- References -- Workshop HASSELL -- Human-Computer Interaction in the Age of Generative AI: Tailoring Educational Content for Diverse Learners -- 1 Introduction -- 2 Related Work -- 2.1 Digital Library Recommender Systems -- 2.2 Recommendation Systems in Education -- 2.3 AI in E-Learning -- 3 Approach -- 4 Implementation of the E-Learning Platform -- 4.1 Interface Design -- 4.2 Workflow and User Journey -- 5 Evaluation -- 5.1 Evaluation Focus -- 5.2 Evaluation Design -- 5.3 Evaluation Results -- 6 Conclusion -- References -- Generative AI in English Education: Harnessing ChatGPT for Digital Learning -- 1 Introduction -- 2 Related Work -- 3 Approach -- 3.1 Generative AI-Driven Approach to English Education -- 3.2 Preprocessing Process -- 3.3 Generative AI System Flow Architecture -- 4 Evaluation -- 4.1 Evaluation Process for English Learning Platform Integration with Generative AI -- 4.2 Results -- 4.3 Remarkable -- 5 Conclusion -- References -- Workshop PRASAE -- Employers as Peers: Applying and Reviewing Digital Badges -- 1 Introduction -- 2 Digital Badges and Microcredentials -- 3 Stakeholders and Peers -- 4 Qualitative Empirical Study -- 5 Conclusion -- References -- Performance and Scalability Challenges of an Revised Implementation Model of Assessment Test Generation Using Distributed Systems -- 1 Introduction -- 2 Literature Review -- 3 Model Description -- 3.1 Initial Model -- 3.2 Revised Model -- 3.3 Comparison Between the Initial and the Revised Model -- 4 Results of the Initial Model Implementation -- 5 Conclusions and Further Work -- References -- Peer Assess Pro: A Comprehensive Platform for Measuring the Success of Group Work for Developing Future-Ready Employability Skills -- 1 Introduction -- 2 The Peer Assess Pro Survey -- 2.1 Team Verification. 2.2 Team Health Check for Psychological Safety -- 2.3 Main Peer Assessment Categories -- 2.4 Qualitative Feedback -- 2.5 Overall Team Member Recommendation -- 2.6 Developmental Feedback -- 2.7 Teacher Feedback -- 3 The Teacher's Dashboard -- 3.1 Active Warnings: The Proactive Approach to Peer Assessment -- 3.2 The Power and Potential of Active Warnings in Peer Assess Pro -- 3.3 Available Actions on the Teacher's Dashboard -- 3.4 Class Statistics: Educational Analytics -- 3.5 Team Results for Selected Team: In-depth Analysis at a Glance -- 3.6 Advanced Statistics -- 4 Student Personal Feedback Report: A Comprehensive Overview -- 4.1 Personal Result Summary -- 4.2 Quantitative Analysis Spider Chart -- 4.3 Measures of Realistic Self-assessment -- 4.4 Feedback Given -- 5 Rapid Teacher Onboarding and Other Features -- 5.1 Student and Teacher Onboarding -- 5.2 Integrated Messaging and Notifications Log -- 5.3 Single Sign-on -- 5.4 Security -- 6 Conclusion: The Transformative Power of Peer Assess Pro -- Electronic supplementary material -- References -- Digital Learning Platforms and Peer Influence: Analysis of Performance and Collaboration -- 1 Introduction -- 1.1 Related Work -- 2 Methodology -- 2.1 Data Collection -- 2.2 Research Questions -- 2.3 Data Analysis -- 2.4 Network Centrality Measures -- 3 Results -- 4 Discussion -- 4.1 Conclusion -- 4.2 Limitations -- 4.3 Future Work -- References -- How to Fail with Collaborative Learning and Teammate Peer Assessment: Advancing the Progress of Teamwork Across the Curriculum (TAC) -- 1 Introduction -- 1.1 Defining Teammate Peer Assessment -- 2 The Problems -- 2.1 The Contemporary Economics of Higher Education Drives Higher Teaching Loads -- 2.2 The Nature of Teaching and Learning is Increasingly Complex and Disrupted -- 2.3 Teachers Are Reluctant to Deploy Modern Pedagogy and Educational Technology. 3 Five Malpractices of Collaborative Learning. |
| Record Nr. | UNINA-9910874657603321 |
|
Kubincová Zuzana
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
International Conference on Neural Computing for Advanced Applications [[electronic resource] ] : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu
| International Conference on Neural Computing for Advanced Applications [[electronic resource] ] : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (595 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KeYinggen
WuZhou HaoTianyong ZhangZhao MengWeizhi MuYuanyuan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Computer vision Computer science - Mathematics Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Vision Mathematics of Computing |
| ISBN | 981-9958-44-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications: ESN-based Control of Bending Pneumatic Muscle with Asymmetric and Rate-dependent Hysteresis -- Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex -- Conditional Diffusion Model-Based Data Augmentation for Alzheimer’s Prediction -- Design of dissolved oxygen online controller based on adaptive dynamic programming theory -- Ascent Guidance for Airbreathing Hypersonic Vehicle based on Deep Neural Network and Pseudo-Spectral Method -- Machine learning and deep learning for data mining and data-driven applications: Image Intelligence-Assisted Time-Series Analysis Method for Identifying “Dispersed, Disordered, and Polluting” Sites Based on Power Consumption Data -- Non-intrusive Load Identiffcation Based on Steady-state V-I Trajectory -- Prediction of TP in effluent at multiple scales based on ESN -- Application of WOA-SVM based algorithm in tumor cell detection research -- MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features -- Self-Attention-Based Reconstruction for Planetary Magnetic Field -- Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection -- Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting -- Computational intelligence, nature-inspired optimizers, and their engineering applications: LOS Guidance Law for Unmanned Surface Vehicle Path Following with Unknown Time-Varying Sideslip Compensation -- Application of Bat Algorithm To Reduce Power Loss In Electrical Power Systems -- An enhanced subregion dominance relation for evolutionary many-objective optimization -- A stacked autoencoder based meta-learning model for global optimization -- Optimization Design of Photovoltaic Power Generation System under Complex Lighting Conditions -- Analysis of the impact of regional customer charging on the grid under the aggregator model -- Indicators directed multi-strategy artificial bee colony algorithm -- Energy-Efficient Cellular Offloading Optimization for UAV-Aided Network -- Artificial bee colony based on adaptive search strategies and elite selection mechanism -- Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization -- Preference Weight Vector Adjustment Strategy Based Dynamic Multiobjective Optimization -- Complementary environmental selection for evolutionary many-objective optimization -- An Investigation on Effects of Exemplars Selection to Convergence and Diversity in Large-Scale Particle Swarm Optimizer -- A LSTM assisted Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization -- An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection -- Optimization Method Of Multi-Body Integrated Energy System Considering Air Compression Energy Storage -- Sequential Seeding Initialization for SNIC Superpixels -- Dynamic multi-objective prediction strategy for transfer learning based on imbalanced data classification -- A twin learning evolutionary algorithm for capacitated vehicle routing problem -- Research on Full-coverage Path Planning Method of Steel Rolling Shop Cleaning Robot -- Deep Reinforcement Learning Method of Target Hunting for Multi-agents with Flocking Property -- Design of particle swarm optimized fuzzy PID controller and its application in superheat degree control -- A multi-style interior floor plan design approach based on generative adversarial networks -- Linear Model-based Optimal VVC Intercoding Rate Control Scheme -- Detection and analysis of hanging basket wire rope broken strands based on Mallat algorithm -- PointAF: A Novel Semantic Segmentation Network for Point Cloud -- Accurate Detection of the Workers and Machinery in Construction Sites Considering the Occlusions -- Research on crack identification of Highway Asphalt Pavement Based on deep learning. |
| Record Nr. | UNISA-996547960703316 |
|
Zhang Haijun
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
International Conference on Neural Computing for Advanced Applications [[electronic resource] ] : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu
| International Conference on Neural Computing for Advanced Applications [[electronic resource] ] : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (627 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KeYinggen
WuZhou HaoTianyong ZhangZhao MengWeizhi MuYuanyuan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Computer vision Computer science - Mathematics Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Vision Mathematics of Computing |
| ISBN | 981-9958-47-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep learning-driven pattern recognition, computer vision and its industrial applications: Improved YOLOv5s Based Steel Leaf Spring Identification -- A bughole detection approach for fair-faced concrete based on improved YOLOv5 -- A bughole detection approach for fair-faced concrete based on improved YOLOv5 -- A Lightweight Sensor Fusion for Neraul Visual Inertial Odometry -- A Two-stage Framework for Kidney Segmentation in Ultrasound Images -- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios -- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios -- Investigating the Transferability of YOLOv5-Based Water Surface Object Detection Model in Maritime Applications -- Physical-property Guided End-to-End Interactive Image Dehazing Network -- A Clothing Classification Network with Manifold Structure Based on Second-order Convolution -- Multi-size Scaled CAM for More Accurate Visual Interpretation of CNNs -- Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm -- Natural language processing, knowledge graphs, recommender systems, and their applications: An Enhanced Model based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases -- Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-Attention Mechanism -- MAMF: A Multi-level Attention-based Multimodal Fusion Model for Medical Visual Question Answering -- ASIM: Explicit Slot-Intent Mapping with Attention for Joint Multi-Intent Detection and Slot Filling -- A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection -- A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost -- Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security: Multiscale Redundant Second Generation Wavelet Kernel-Driven Convolutional Neural Network for Rolling Bearing Fault Diagnosis -- Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition -- Mechanical fault diagnosis of high-voltage circuit breakers via hybrid classifier with DS evidence fusion -- Multi-feature fusion and reinforcement model for high-speed train axle box bearing fault diagnosis under variable speed domain -- Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks -- Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2): Data-Model Intergrowth Makes Better Time Series Prediction -- Spatial-Temporal Electric Vehicle Charging Demand Forecasting: A GTrans approach -- A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation -- STEPWISE FUSION TRANSFORMER FOR AFFECTIVE VIDEO CONTENT ANALYSIS -- An adaptive clustering approach for efficient data dissemination in IoV -- Strategy determination for multiple USVs: a min-max Q-learning approach -- Urban Emergency Logistics Planning optimization model considering priority under COVID-19 -- Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks -- Applications of Data Mining, Machine Learning and Neural Computing in Language Studies: Teaching Pre-editing for Chinese-to-English MT: An Experiment with Controlled Chinese Rules -- Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching -- Student-Centered Education in Metaverse: Transforming the Language Listening Curriculum -- A Positive-Negative Dual-View Model for Knowledge Tracing -- A Study of Chinese-English Translation Teaching Based on Data Mining -- Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications -- Novel TD-based adaptive control for nonlinearly parameterized stochastic systems -- A Data-Driven Intermediate Estimator-Based Approach for Collaborative Fault-Tolerant Tracking Control of Multi-Agent Systems -- Anomaly detection and alarm limit design for in-hole bit bounce based on interval augmented Mahalanobis distance -- Other Neural computing-related topics -- A neural approach towards real-time management for integrated energy system incorporating carbon trading and electrical vehicle scheduling -- Research on Chinese Diabetes Question Classification with the Integration of Different BERT Models -- Shared Task 1 on NCAA 2023: Chinese Diabetes Question Classification -- SFDA:Chinese Diabetic Text Classification Based on Sentence Feature Level Data Augmentation. |
| Record Nr. | UNISA-996547952803316 |
|
Zhang Haijun
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
International Conference on Neural Computing for Advanced Applications : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu
| International Conference on Neural Computing for Advanced Applications : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part I / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (595 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KeYinggen
WuZhou HaoTianyong ZhangZhao MengWeizhi MuYuanyuan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Computer vision Computer science - Mathematics Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Vision Mathematics of Computing |
| ISBN | 981-9958-44-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural network (NN) theory, NN-based control systems, neuro-system integration and engineering applications: ESN-based Control of Bending Pneumatic Muscle with Asymmetric and Rate-dependent Hysteresis -- Image Reconstruction and Recognition of Optical Flow Based on Local Feature Extraction Mechanism of Visual Cortex -- Conditional Diffusion Model-Based Data Augmentation for Alzheimer’s Prediction -- Design of dissolved oxygen online controller based on adaptive dynamic programming theory -- Ascent Guidance for Airbreathing Hypersonic Vehicle based on Deep Neural Network and Pseudo-Spectral Method -- Machine learning and deep learning for data mining and data-driven applications: Image Intelligence-Assisted Time-Series Analysis Method for Identifying “Dispersed, Disordered, and Polluting” Sites Based on Power Consumption Data -- Non-intrusive Load Identiffcation Based on Steady-state V-I Trajectory -- Prediction of TP in effluent at multiple scales based on ESN -- Application of WOA-SVM based algorithm in tumor cell detection research -- MM-VTON: A Multi-stage Virtual Try-on Method Using Multiple Image Features -- Self-Attention-Based Reconstruction for Planetary Magnetic Field -- Semi-supervised Multi-class Classification Methods Based on Laplacian Vector Projection -- Integrating EMD, LMD and TCN Methods for COVID-19 Forecasting -- Computational intelligence, nature-inspired optimizers, and their engineering applications: LOS Guidance Law for Unmanned Surface Vehicle Path Following with Unknown Time-Varying Sideslip Compensation -- Application of Bat Algorithm To Reduce Power Loss In Electrical Power Systems -- An enhanced subregion dominance relation for evolutionary many-objective optimization -- A stacked autoencoder based meta-learning model for global optimization -- Optimization Design of Photovoltaic Power Generation System under Complex Lighting Conditions -- Analysis of the impact of regional customer charging on the grid under the aggregator model -- Indicators directed multi-strategy artificial bee colony algorithm -- Energy-Efficient Cellular Offloading Optimization for UAV-Aided Network -- Artificial bee colony based on adaptive search strategies and elite selection mechanism -- Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization -- Preference Weight Vector Adjustment Strategy Based Dynamic Multiobjective Optimization -- Complementary environmental selection for evolutionary many-objective optimization -- An Investigation on Effects of Exemplars Selection to Convergence and Diversity in Large-Scale Particle Swarm Optimizer -- A LSTM assisted Prediction Strategy for Evolutionary Dynamic Multiobjective Optimization -- An Adaptive Brain Storm Optimization Based on Hierarchical Learning for Community Detection -- Optimization Method Of Multi-Body Integrated Energy System Considering Air Compression Energy Storage -- Sequential Seeding Initialization for SNIC Superpixels -- Dynamic multi-objective prediction strategy for transfer learning based on imbalanced data classification -- A twin learning evolutionary algorithm for capacitated vehicle routing problem -- Research on Full-coverage Path Planning Method of Steel Rolling Shop Cleaning Robot -- Deep Reinforcement Learning Method of Target Hunting for Multi-agents with Flocking Property -- Design of particle swarm optimized fuzzy PID controller and its application in superheat degree control -- A multi-style interior floor plan design approach based on generative adversarial networks -- Linear Model-based Optimal VVC Intercoding Rate Control Scheme -- Detection and analysis of hanging basket wire rope broken strands based on Mallat algorithm -- PointAF: A Novel Semantic Segmentation Network for Point Cloud -- Accurate Detection of the Workers and Machinery in Construction Sites Considering the Occlusions -- Research on crack identification of Highway Asphalt Pavement Based on deep learning. |
| Record Nr. | UNINA-9910743691003321 |
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Zhang Haijun
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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International Conference on Neural Computing for Advanced Applications : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu
| International Conference on Neural Computing for Advanced Applications : 4th International Conference, NCAA 2023, Hefei, China, July 7–9, 2023, Proceedings, Part II / / edited by Haijun Zhang, Yinggen Ke, Zhou Wu, Tianyong Hao, Zhao Zhang, Weizhi Meng, Yuanyuan Mu |
| Autore | Zhang Haijun |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (627 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KeYinggen
WuZhou HaoTianyong ZhangZhao MengWeizhi MuYuanyuan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer engineering Computer networks Computers Computer vision Computer science - Mathematics Artificial Intelligence Computer Engineering and Networks Computing Milieux Computer Vision Mathematics of Computing |
| ISBN | 981-9958-47-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Deep learning-driven pattern recognition, computer vision and its industrial applications: Improved YOLOv5s Based Steel Leaf Spring Identification -- A bughole detection approach for fair-faced concrete based on improved YOLOv5 -- A bughole detection approach for fair-faced concrete based on improved YOLOv5 -- A Lightweight Sensor Fusion for Neraul Visual Inertial Odometry -- A Two-stage Framework for Kidney Segmentation in Ultrasound Images -- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios -- Applicability Method for Identification of Power Inspection Evidence in Multiple Business Scenarios -- Investigating the Transferability of YOLOv5-Based Water Surface Object Detection Model in Maritime Applications -- Physical-property Guided End-to-End Interactive Image Dehazing Network -- A Clothing Classification Network with Manifold Structure Based on Second-order Convolution -- Multi-size Scaled CAM for More Accurate Visual Interpretation of CNNs -- Joint Attention Mechanism of YOLOv5s for Coke Oven Smoke and Fire Recognition Algorithm -- Natural language processing, knowledge graphs, recommender systems, and their applications: An Enhanced Model based on Recurrent Convolutional Neural Network for Predicting the Stage of Chronic Obstructive Pulmonary Diseases -- Hybrid Recommendation System with Graph Neural Collaborative Filtering and Local Self-Attention Mechanism -- MAMF: A Multi-level Attention-based Multimodal Fusion Model for Medical Visual Question Answering -- ASIM: Explicit Slot-Intent Mapping with Attention for Joint Multi-Intent Detection and Slot Filling -- A Triplet-Contrastive Representation Learning Strategy for Open Intent Detection -- A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost -- Neural computing-based fault diagnosis and forecasting, prognostic management, and cyber-physical system security: Multiscale Redundant Second Generation Wavelet Kernel-Driven Convolutional Neural Network for Rolling Bearing Fault Diagnosis -- Unsupervised Deep Transfer Learning Model for Tool Wear States Recognition -- Mechanical fault diagnosis of high-voltage circuit breakers via hybrid classifier with DS evidence fusion -- Multi-feature fusion and reinforcement model for high-speed train axle box bearing fault diagnosis under variable speed domain -- Degradation Modelling and Remaining Useful Life Prediction Methods Based on Time Series Generative Prediction Networks -- Sequence learning for spreading dynamics, forecasting, and intelligent techniques against epidemic spreading (2): Data-Model Intergrowth Makes Better Time Series Prediction -- Spatial-Temporal Electric Vehicle Charging Demand Forecasting: A GTrans approach -- A Long Short-term Memory Model for COVID-19 Forecasting Using High-efficiency Feature Representation -- STEPWISE FUSION TRANSFORMER FOR AFFECTIVE VIDEO CONTENT ANALYSIS -- An adaptive clustering approach for efficient data dissemination in IoV -- Strategy determination for multiple USVs: a min-max Q-learning approach -- Urban Emergency Logistics Planning optimization model considering priority under COVID-19 -- Joint Data Routing and Service Migration via Evolutionary Multitasking Optimization in Vehicular Networks -- Applications of Data Mining, Machine Learning and Neural Computing in Language Studies: Teaching Pre-editing for Chinese-to-English MT: An Experiment with Controlled Chinese Rules -- Research on the Application of Computer Aided Corrective Feedback in Foreign Language Grammar Teaching -- Student-Centered Education in Metaverse: Transforming the Language Listening Curriculum -- A Positive-Negative Dual-View Model for Knowledge Tracing -- A Study of Chinese-English Translation Teaching Based on Data Mining -- Computational intelligent Fault Diagnosis and Fault-Tolerant Control, and Their Engineering Applications -- Novel TD-based adaptive control for nonlinearly parameterized stochastic systems -- A Data-Driven Intermediate Estimator-Based Approach for Collaborative Fault-Tolerant Tracking Control of Multi-Agent Systems -- Anomaly detection and alarm limit design for in-hole bit bounce based on interval augmented Mahalanobis distance -- Other Neural computing-related topics -- A neural approach towards real-time management for integrated energy system incorporating carbon trading and electrical vehicle scheduling -- Research on Chinese Diabetes Question Classification with the Integration of Different BERT Models -- Shared Task 1 on NCAA 2023: Chinese Diabetes Question Classification -- SFDA:Chinese Diabetic Text Classification Based on Sentence Feature Level Data Augmentation. |
| Record Nr. | UNINA-9910743687703321 |
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Zhang Haijun
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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