Emerging Technologies for Education : 8th International Symposium, SETE 2023, Sydney, Australia, November 26–28, 2023, Revised Selected Papers, Part II / / edited by Zuzana Kubincová, Tianyong Hao, Nicola Capuano, Marco Temperini, Shili Ge, Yuanyuan Mu, Paolo Fantozzi, Jing Yang |
Autore | Kubincová Zuzana |
Edizione | [1st ed. 2024.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
Descrizione fisica | 1 online resource (289 pages) |
Disciplina | 005.3 |
Altri autori (Persone) |
HaoTianyong
CapuanoNicola TemperiniMarco GeShili MuYuanyuan FantozziPaolo YangJing |
Collana | Lecture Notes in Computer Science |
Soggetto topico |
Application software
Computer and Information Systems Applications |
ISBN | 9789819742462 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | -- Workshop ETLL. -- A Model of Risk Factors in Remote Interpreting. -- English Chinese Translation of Adpositional Structures Under the Guidance of Clause Complex Theory. -- Exploring Learner Engagement with the AWE PeerTeacher Feedback Mode in L2 Writing. -- Exploring Interaction Patterns in Web-Based Collaborative Writing Tasks Among Advanced L2 Learners: A Case Study Using Feishu Platform. -- Blended Teaching Approach to Online “Comprehensive English” Course: an Experimental Study. -- A Review of Opportunities and Challenges of Artificial Intelligence Chatbots in Second Language Acquisition. -- Bridging knowledge and technology: constructing a knowledge-driven repository with 3D CNN for interpreting education. -- A Multimodal Evaluation of Test Reliability and Validity Based on MTMM. -- Decoding Chinese Discourse Structure: A Corpus Based Annotation System for Clause Complexes Analysis. -- Revolutionizing Programming Language Education with Generative AI: Knowledge Enrichment and Adaptive Learning/Teaching Framework. -- An Analysis of Transitivity and Visual Mode in Science Documentary: A Case Study of War of the Galaxies. -- Workshop HASSELL. -- Human Computer Interaction in the Age of Generative AI: Tailoring Educational Content for Diverse Learners. -- Generative AI in English Education: Harnessing ChatGPT for Digital Learning. -- Workshop PRASAE. -- Employers as Peers: Applying and Reviewing Digital Badges. -- Performance and scalability challenges of an revised implementation model of assessment test generation using distributed systems. -- Peer Assess Pro: A Comprehensive Platform for Measuring the Success of Group Work for Developing Future-Ready Employability Skills. -- Digital Learning Platforms and Peer Influence: Analysis of Performance and Collaboration. -- How to Fail with Collaborative Learning and Peer Assessment: Advancing the Progress of Teamwork Across the Curriculum (TAC). -- Exploring Gender Disparities in Online Peer Feedback System: An Analysis of Feedback Levels and Quality. -- Q2A II, a System to support Peer Assessment on Homework: A Study on Four Years of Use. -- Interdisciplinary collaboration and training partners: a holistic learning approach. |
Record Nr. | UNINA-9910874657603321 |
Kubincová Zuzana
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
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Lo trovi qui: Univ. Federico II | ||
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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
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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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
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. di Salerno | ||
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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 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 |
Zhang Haijun
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
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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 |
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 |
Zhang Haijun
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
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Lo trovi qui: Univ. Federico II | ||
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