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11th world conference "Intelligent System for Industrial Automation" (WCIS-2020) / / Rafik Aziz Aliev [and four others] editors
11th world conference "Intelligent System for Industrial Automation" (WCIS-2020) / / Rafik Aziz Aliev [and four others] editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (xvii, 615 pages) : illustrations
Disciplina 670.28563
Collana Advances in Intelligent Systems and Computing
Soggetto topico Intel·ligència artificial
Aplicacions industrials
Artificial intelligence - Industrial applications
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-030-68004-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- 11th International Conference on Intelligent Systems for Industrial Automation, WCIS-2020, Tashkent, Uzbekistan, November 26-28 -- Organization -- Co-chairmen and Editors -- International Program Committee -- Organizing Committee -- Chairmen -- Co-chairmen -- Members -- Conference Organizing Secretariats -- Contents -- Prediction Intervals for the Artificial Neural Network (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) via the LUBE Method -- 1 Introduction -- 2 Methods -- 2.1 Study Area and Data Sets -- 2.2 Artificial Neural Network (ANN) -- 2.3 Adaptive Neuro-Fuzzy Inference System (ANFIS) -- 2.4 PIs Construction by LUBE Method -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Analysis and Modeling of Information Security Systems in Industry 4.0 -- 1 Introduction -- 2 Analysis and Modeling -- 3 Conclusion -- References -- Using Non-linear Integral Models in Automatic Control and Measurement Systems for Sensors' Input Signals' Recovery -- 1 Introduction -- 2 Methods for Solving Polynomial Integral Equations -- 2.1 Model Regularization -- 2.2 Algorithms for Solving Polynomial Integral Equations -- 2.3 Solving Polynomial Integral Equations with Tabular-Type Kernels in an Infinite Period -- 3 Results and Practical Application of the Offered Methods -- 4 Conclusions -- References -- Neural Network Method and Algorithm for Document Detection Based on Signaling Analysis -- 1 Introduction -- 2 The Main Part -- 3 Conclusion -- References -- Using Fuzzy Probabilistic Implication in Z-set Based Inference -- 1 Introduction -- 2 Preliminaries -- 3 Statement of the Problem -- 4 Solution Method -- 5 Numerical Example -- 6 Conclusion -- References -- Accounting Experience Between Fuzzy Integral and Z-numbers -- 1 Introduction -- 2 Calculation of Fuzzy Integral by the Fuzzy Measure.
3 Calculation on the Basis of the Combination of Z-numbers -- 4 To Carry Out Computational Experiments on the Basis of Z-numbers -- 5 Conclusion -- References -- A Recurrent Method for Structural-Parametric Identification of Fuzzy Neural Networks -- 1 Introduction -- 2 Weighed Mamdani FNNs and Its Learning Problem -- 2.1 Weighed Mamdani Model -- 2.2 Statement of the Problem -- 3 New Approach for the Identification of Weighed Mamdani FNN -- 4 Structure and Parameter Initialization of the Proposed Method -- 5 Parameter Learning Using a Gradient Descent Method -- 6 Numerical Experiments -- 7 Conclusion -- References -- Voltage Control System for Electrical Networks Based on Fuzzy Sets -- 1 Introduction -- 2 Problem Statement and Main Results -- 3 Practical Results -- 4 Conclusion -- References -- Algorithms for the Synthesis of Optimal Linear-Quadratic Stationary Controllers -- 1 Introduction -- 2 Problem Definition -- 3 Control Law -- 4 Solution -- 5 Conclusion -- References -- Toward Ordering of n-Tuples of Z-Numbers -- 1 Introduction -- 2 State of the Art -- 3 Preliminaries -- 4 Statement of the Problem and Method of Solution -- 5 Conclusion -- References -- Determining the Activity of Fullerene Nanoparticles Using QSAR Models -- 1 Introduction -- 2 Methods -- 2.1 Data -- 2.2 Data Pre-processing -- 2.3 Feature Selection -- 2.4 QSAR Model Development -- 3 Results -- 3.1 Outliers Treatment -- 3.2 Processing Null Values -- 3.3 Bivariate Analysis -- 3.4 Multicollinearity -- 3.5 Feature Selection Using Wrapper Methods -- 3.6 Model Building -- 3.7 Evaluating and Optimizing Models -- 3.8 Predictions -- 4 Discussion -- 5 Conclusion -- Appendices -- References -- Selection of the Optimal Class of Features for Recognition of the Azerbaijani Handprinted Characters -- 1 Introduction -- 2 Thinning -- 3 Extraction of Soft Features for Hand-Printed Recognition.
4 Results of Experiments -- 5 Conclusion -- References -- About One Feature Selection Algorithm in Pattern Recognition -- 1 Introduction -- 2 Methodology -- 2.1 Mathematical Formulation of the Problem -- 2.2 Algorithm -- 2.3 Example of Comparison -- 3 Conclusion -- References -- The Neural Network Based Decision Support System Using Aggregated Opinions of Public Observers -- 1 Introduction -- 2 Problem Definition -- 3 Fuzzy Utility Function -- 4 NN Model for Aggregation of Recipient Assessments -- 5 Conclusion -- References -- Multi-model Virtual Analysers of Parameters of Technological Processes -- 1 Introduction -- 2 Machine Learning -- 3 Conclusion -- References -- Fuzzy Assessment of Technological Risks in the Main Oil Pipeline -- 1 Introduction -- 2 Solution and Discussion of the Problem -- 3 Conclusion -- References -- The Efficiency of the FSV Model in an Intelligent Search Engine -- 1 Introduction -- 2 Main Chapter -- 3 Conclusion Remarks -- References -- Neural-Network Based Approach to Mechanism of Liquid Extraction -- 1 Introduction -- 2 Experimental Part -- 3 Conclusions and Disscussion -- References -- Predicting the Performance of Marital Gas Pipelines with Different Coatings -- 1 Introduction -- 2 Construction of a Dynamic Model for a Time Series -- 3 Choosing the Dimension of the Embedding Space -- 4 Direct and Iterative Forecasting Methods Based on Dynamic Model Mapping -- 5 Numerical Implementation of the Method and Discussion of Results -- References -- Enhancing Teaching Approach with 3D Primitives in Virtual and Augmented Reality -- 1 Introduction -- 2 Augmented and Virtual Reality (AR/VR) in E-Learning -- 2.1 Using AR in Education -- 2.2 Virtual Reality (VR) for Education -- 2.3 The Need for Virtual Reality in Education -- 3 How to Implement Graphics Field -- 4 Implication of 3D Modeling by Software -- 5 Conclusion -- References.
Modelling of Gas Lift Dynamic Processes Using ANFIS and ANN -- 1 Introduction -- 2 Method -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Recognition and Classification of Pollen Grains Based on the Use of Statistical, Dynamic Image Characteristics, and Unique Properties of Neural Networks -- 1 Introduction -- 2 Main Part -- 2.1 Main Features, Principles, and Characteristics of the Technology for Identifying Images of Pollen Grains -- 2.2 Generalized Algorithms for Identification, Recognition, and Classification of Images of Micro-objects -- 3 Conclusion -- References -- Fuzzy Type-2 Decision Making Method on Project Selection -- 1 Introduction -- 2 Preliminaries -- 3 Statement of the Problem -- 4 Solution of the Problem -- 5 Conclusion -- References -- IoT and Intelligent Wireless Sensor Network for Remote Monitoring Systems of Solar Power Stations -- 1 Introduction -- 2 Configuration of Intelligent WSN -- 3 The Principle of Construction of Intelligent Wireless Sensor Networks -- 4 Construction Concept of SPS Remote Monitoring System -- 5 Simulation and Results -- 6 Conclusion -- References -- Path Planning Collision Free for Warehouse Mobile Robot -- 1 Introduction -- 2 Method -- 2.1 Current Situation and Warehouse Mobile Robot -- 3 Results and Discussions -- 4 Conclusion -- References -- Simulation Model of the Multi-position Mechatronic Module Functioning of an Intelligent Robot -- 1 Introduction -- 2 Research Methodology -- 3 Analysis and Results -- 4 Conclusion -- References -- Decision-Making in the Production of Hard-To-Recover Oil Reserves Under Uncertainty -- 1 Introduction -- 2 A Brief Overview of Optimization Methods for Gas-Lift Production -- 3 Problem Statement -- 4 Results of Research -- 5 Conclusion -- References -- Automatic Recognition of Uzbek Speech Based on Integrated Neural Networks -- 1 Introduction.
2 End-to-End Speech Recognition Systems -- 3 Experiments -- 4 Conclusion -- References -- Software Selection Problem by Using Single Valued Neutrosophic (SVN)-Based TOPSIS Method -- 1 Introduction -- 2 Preliminaries -- 3 Statement of the Problem -- 4 Solution of the Problem -- 5 Conclusion -- References -- Neural Network Model for Adaptive Control of Nonlinear Dynamic Object -- 1 Introduction -- 2 Main Part -- 3 Conclusion -- References -- Identification and Ranking of Key Factors for Pattern of Consumer Buying Decisions in Digital Marketing -- 1 Introduction -- 2 Preliminaries -- 3 Statement of the Problem -- 4 Solution of the Problem -- 5 Conclusion -- References -- The Possibilities of Using Cloud Computing for Applications of Industrial Automation -- 1 Introduction -- 2 Methodical Aspects of Using Cloud Computing in Industry -- 3 Generalized Scenario of Virtualization in the Cloud Infrastructure -- 4 Conclusion -- References -- Application of Fuzzy AHP Method to Material Selection Problem -- 1 Introduction -- 2 Preliminaries -- 3 Fuzzy AHP -- 4 Application -- 4.1 Calculations for Criteria -- 4.2 Calculations for Impact Strength Criterion -- 4.3 Calculations for "Brinell Hardness" Criterion -- 4.4 Calculations for Machinability Index Criterion -- 4.5 Calculations for Estimated Cost Per Lbs Criterion -- 5 Global and Local Weights Calculations -- 6 Decision Matrix -- 7 Ranking the Alternatives -- 8 Discussion and Conclusion -- References -- Problems of Visualization and 3d Modeling in Chemistry: Analysis of Electronodonor Properties and Spatial Complex-Forming Structure of the Obtained Sulfocationite -- 1 Introduction -- 2 Method of Calculation -- 3 DFT Analysis -- 4 Research of Including Complex-Forming -- 5 Conclusion -- References.
Application of Modern Technologies for Planning Improvement and Saving on Costs in the Enterprise of the Industry 4.0.
Record Nr. UNINA-9910483846803321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
6GN for Future Wireless Networks : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part II / / edited by Jingchao Li, Bin Zhang, Yulong Ying
6GN for Future Wireless Networks : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part II / / edited by Jingchao Li, Bin Zhang, Yulong Ying
Autore Li Jingchao
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (293 pages)
Disciplina 004.6
Altri autori (Persone) ZhangBin
YingYulong
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Computer networks
Artificial intelligence
Image processing - Digital techniques
Computer vision
Signal processing
Information storage and retrieval systems
Machine learning
Computer Communication Networks
Artificial Intelligence
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Speech and Image Processing
Information Storage and Retrieval
Machine Learning
Intel·ligència artificial
Xarxes d'ordinadors
Processament digital d'imatges
Visió per ordinador
Processament de senyals
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031534041
3031534042
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Image, Video, and Signal Processing -- Detection of Green Walnuts on Trees Using the Improved YOLOv7 Model -- Disease Recognition of Plants Leaves in Northern Shaanxi based on Siamese Networks -- Application of MED-TET to feature extraction of vibration signals -- A NOVEL PHASE CONGRUENCY-BASED IAMGE MATCHING METHOD FOR HETEROGENOUS IMAGES -- Design of Image Based Optical Flow Tracking and Positioning System in Intelligent Assembly -- A Review of Image and Point Cloud Fusion in Autonomous Driving -- Deep learning in strawberry growth monitoring research: A review -- Image, Video, and Signal Processing & Software Engineering -- Stepwise Change and Refine Network for Human Pose Transfer -- Performance Analysis of Web Server side Reactive Programming -- Improved Sparrow Search Algorithm Optimized Neural Network Analysis Of Traffic Congestion -- Industrial Noisy Speech Enhancement Using Joint Time-Frequency Loss Function Based on U-Net -- Multiple Color Feature and Contextual Attention Mechanism based on YOLOX -- Improved War Strategy Optimization Algorithm Based on Hybrid Strategy -- Quantitative Analysis on Coin Flipping Protocol -- Communications Systems and Networking & Control and Automation Systems -- Research on Cost Optimization of UAV Network Routing Protocol Based on OLSR Protocol -- A Lightweight Fault Diagnosis Model of Rolling Bearing Based on Gramian Angular Field and EfficientNet-B0 -- ISAC Device-free Sensing Method for V2V System -- Fuzzy sliding mode trajectory tracking control for omnidirectional mobile robots based on exponential convergence law -- Image Classification Method Base on Contrastive Learning -- Research on RFID Indoor Localization Algorithm Based on Virtual Tags and Fusion of LANDMARC and Kalman Filter -- Computer Systems and Applications -- Research on information Literacy Teaching of Library MOOC based on Constructivism -- Research on Smart Library System Based on Big Data -- Smoke segmentation method based on super pixel segmentation and convolutional neural network -- Research on Distributed Routing Technology for LEO Satellite Network -- Analysis of Weld Pool Characteristics in Narrow Gap GTAW Welding Based on Passive Vision.
Record Nr. UNINA-9910842499603321
Li Jingchao  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
6GN for Future Wireless Networks : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part I / / edited by Jingchao Li, Bin Zhang, Yulong Ying
6GN for Future Wireless Networks : 6th EAI International Conference, 6GN 2023, Shanghai, China, October 7-8, 2023, Proceedings, Part I / / edited by Jingchao Li, Bin Zhang, Yulong Ying
Autore Li Jingchao
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (438 pages)
Disciplina 006.3
Altri autori (Persone) ZhangBin
YingYulong
Collana Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Soggetto topico Artificial intelligence
Computer networks
Image processing - Digital techniques
Computer vision
Signal processing
Application software
Machine learning
Artificial Intelligence
Computer Communication Networks
Computer Imaging, Vision, Pattern Recognition and Graphics
Signal, Speech and Image Processing
Computer and Information Systems Applications
Machine Learning
Intel·ligència artificial
Xarxes d'ordinadors
Processament digital d'imatges
Visió per ordinador
Processament de senyals
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031534010
3031534018
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intelligent Systems -- 2D Map Generation Considering 3D Spatial Information of Objects for a Guide Dog Robot -- Development of an Image Generation System for Expressing Auditory Environment to Hearing-impaired People -- Robust Object Recognition and Command Understanding for a House Tidying-up Robot -- 3D Point Cloud Based Object Recognition and 3D Mapping -- Intelligent Inspection System of Coal Preparation Plant Based on Dynamic QR Code -- On The Construction of Information Management System for Railroad Grouping Station Operation -- Research on short term power load forecasting based on Wavelet and BiLSTM -- Big data mining, D2D Communication, Security and Privacy for 6G Networks -- Spectrum Allocation Algorithm based on Improved Chimp Optimization Algorithm -- Research on Model Evaluation Technology Based on Modulated Signal Identification -- Parking space matching and pathplanning based on Wolf feeding decision algorithm in large underground garage -- Research on physical layer authentication method of internet of things based on contour stellar images and convolutional neural network -- Double IRS-Aided Dual-function Radar and Communication System -- Channel Estimation for RIS Communication System with Deep scaled Least Squares -- Algorithmic protection study based on a virtual location -- Artificial intelligent techniques for 6G Networks -- Subway Double-door Anti-pinch Based On RGBD Binary Classification Network -- Design and Implementation of Intelligent IoT Paper Pumping System Based on Face Recognition of Loongson Processor -- Aluminum Defect Detection based on Weighted Feature Fusion Mechanism -- MS TextSpotter: An Intelligent Instance Segmentation Scheme for Semantic Scene Text Recognition in Asian Social Networks -- Improved solar photovoltaic panel defect detection technology based on YOLOv5 -- YOLO-L:A YOLO-BASED ALGORITHM FOR REMOTE SENSING IMAGE TARGET DETECTION -- Power and Energy Systems I -- An effective N-BEATS network model for short term load forecasting -- A Novel Ultra Short-Term Load Forecasting Algorithm of a Small Microgrid Based on Support Vector Regression -- Laser welding process of lithium battery lugs based on finite element simulation -- Failure and Stress Analysis of Cylindrical Springs -- Detection of Corrosion Areas in Power Equipment Based on Improved YOLOv5s Algorithm with CBAM Attention Mechanism -- Power and Energy Systems -- TASE-net: a short-term load forecasting model based on Temperature Accumulation Sequence Effect -- Predicting time series energy consumption based on Transformer and LSTM -- Predicting Wind Turbine Power Output based on XGBoost -- Loop Closure Detection Based on Local and Global Descriptors with Sinkhorn Algorithm -- Stainless steel crack detection based on MATLAB -- Power and Energy Systems -- A new combination model for offshore wind power prediction considering the number of climbing features -- Fault Diagnosis Method of Gas Turbine Combustion Chamber Based on CNN-GRU Model Analysis -- Research on Key Intelligent System in Unmanned Surface Vessel -- Simulation research on thermal management of hydrogen fuel cell for UAV -- Performance analysis on a coupled system of gas turbine and air cycle driven by waste heat of flue gas. .
Record Nr. UNINA-9910842495003321
Li Jingchao  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Activity Monitoring by Multiple Distributed Sensing [[electronic resource] ] : Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers / / edited by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund
Activity Monitoring by Multiple Distributed Sensing [[electronic resource] ] : Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers / / edited by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (IX, 117 p. 64 illus.)
Disciplina 681.2
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Computer communication systems
Application software
Artificial intelligence
Algorithms
Software engineering
Pattern recognition
Xarxes de sensors
Intel·ligència artificial
Xarxes d'ordinadors
Enginyeria d'ordinadors
Computer Communication Networks
Information Systems Applications (incl. Internet)
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Software Engineering
Pattern Recognition
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-319-13323-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Distributed Cooperative Architecture for Robotic Networks with Application to Ambient Intelligence -- A Customizable Approach for Monitoring Activities of Elderly Users in Their Homes -- The AVA Multi-View Dataset for Gait Recognition -- Topological Features for Monitoring Human Activities at Distance -- TLD and Struck: A Feature Descriptors Comparative Study -- Group Sleepiness Measurement in Classroom -- A Semantic Reasoner Using Attributed Graphs Based on Intelligent Fusion of Security Multi-sources Information -- Visual Tracking via Sparse Representation and Online Dictionary Learning -- A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain.
Record Nr. UNISA-996210524303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Activity Monitoring by Multiple Distributed Sensing : Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers / / edited by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund
Activity Monitoring by Multiple Distributed Sensing : Second International Workshop, AMMDS 2014, Stockholm, Sweden, August 24, 2014, Revised Selected Papers / / edited by Pier Luigi Mazzeo, Paolo Spagnolo, Thomas B. Moeslund
Edizione [1st ed. 2014.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Descrizione fisica 1 online resource (IX, 117 p. 64 illus.)
Disciplina 681.2
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Computer networks
Application software
Artificial intelligence
Algorithms
Software engineering
Pattern perception
Xarxes de sensors
Intel·ligència artificial
Xarxes d'ordinadors
Enginyeria d'ordinadors
Computer Communication Networks
Information Systems Applications (incl. Internet)
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Software Engineering
Pattern Recognition
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-319-13323-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Distributed Cooperative Architecture for Robotic Networks with Application to Ambient Intelligence -- A Customizable Approach for Monitoring Activities of Elderly Users in Their Homes -- The AVA Multi-View Dataset for Gait Recognition -- Topological Features for Monitoring Human Activities at Distance -- TLD and Struck: A Feature Descriptors Comparative Study -- Group Sleepiness Measurement in Classroom -- A Semantic Reasoner Using Attributed Graphs Based on Intelligent Fusion of Security Multi-sources Information -- Visual Tracking via Sparse Representation and Online Dictionary Learning -- A Wireless Sensor Network Application with Distributed Processing in the Compressed Domain.
Record Nr. UNINA-9910484003303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Adaptive Instructional Systems : 5th International Conference, AIS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings / / edited by Robert A. Sottilare, Jessica Schwarz
Adaptive Instructional Systems : 5th International Conference, AIS 2023, Held as Part of the 25th HCI International Conference, HCII 2023, Copenhagen, Denmark, July 23–28, 2023, Proceedings / / edited by Robert A. Sottilare, Jessica Schwarz
Autore Sottilare Robert A
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (365 pages)
Disciplina 371.334
Altri autori (Persone) SchwarzJessica
Collana Lecture Notes in Computer Science
Soggetto topico User interfaces (Computer systems)
Human-computer interaction
User Interfaces and Human Computer Interaction
Intel·ligència artificial
Interacció persona-ordinador
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9783031347351
3031347358
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Human-Centered Design for Learner Acceptance, Engagement, and Performance -- Design Strategies and Guidelines for Adaptive Instructional Systems -- Individual Differences in Adaptive Learning -- Applications of Adaptive Instructional Systems.
Record Nr. UNINA-9910734854103321
Sottilare Robert A  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Computational Intelligence and Intelligent Informatics : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part I / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong
Advanced Computational Intelligence and Intelligent Informatics : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part I / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong
Autore Xin Bin
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (375 pages)
Disciplina 006.3
Altri autori (Persone) KubotaNaoyuki
ChenKewei
DongFangyan
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer vision
Robotics
Machine learning
Pattern recognition systems
Artificial Intelligence
Computer Vision
Machine Learning
Automated Pattern Recognition
Intel·ligència artificial
Visió per ordinador
Aprenentatge automàtic
Reconeixement de formes (Informàtica)
Robòtica
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9789819975907
9819975905
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Intelligent Information Processing -- 3D Point Cloud-Based Lithium Battery Surface Defects Detection Using Region Growing Proposal Approach -- 1 Introduction -- 2 Previous Work -- 3 Methodology -- 3.1 Data Acquisition and Preprocessing -- 3.2 Normals Estimation and Segmentation -- 4 Experiments and Discussion -- 5 Conclusion and Future Work -- References -- Reducing Communication Consumption in Collaborative Visual SLAM with Map Point Selection and Efficient Data Compression -- 1 Introduction -- 2 Proposed Method -- 2.1 Mappoints Culling Strategy -- 2.2 Zstd Compression Algorithm -- 3 Experimental Results -- 3.1 Implementation Details -- 3.2 Evaluation Metric -- 3.3 Performance Evaluation -- 4 Conclusion -- References -- Optimal Information Fusion Descriptor Fractional Order Kalman Filter -- 1 Introduction -- 2 Problem Formulation -- 3 Kalman Filter for Single Sensor Generalized Fractional Order System -- 4 Observational Fusion Kalman Filter for Generalized Fractional-Order Systems -- 5 Simulation Study -- 6 Conclusions -- References -- Multi-sensor Data Fusion Algorithm for Indoor Fire Detection Based on Ensemble Learning -- 1 Introduction -- 2 Data Selection and Analysis -- 2.1 Data Seletion -- 2.2 Data Processing and Analysis -- 3 Algorithm Analysis and Evaluation -- 3.1 Architechture of Algorithm -- 3.2 Research Methodology -- 3.3 Evaluation Index -- 3.4 Experimental Results -- 4 Conclusion -- References -- Research on Water Surface Environment Perception Method Based on Visual and Positional Information Fusion -- 1 Introduction -- 2 Swan-Net -- 2.1 Feature Extraction Module -- 2.2 Position Information Feature Encoding -- 2.3 Feature Fusion Module -- 2.4 Loss Function -- 3 Experimental Methods and Analysis of Results -- 3.1 Training Dataset.
3.2 Model Structure Ablation Experiment -- 3.3 Performance Comparison of Different Models -- 4 Conclusion -- References -- Novel Fault Diagnosis Method Integrating D-L2-FDA and AdaBoost -- 1 Introduction -- 2 Related Methods -- 2.1 Fisher Discriminant Analysis -- 2.2 Ensemble Learning Method AdaBoost -- 3 The Proposed Method -- 3.1 D-L2-FDA for Feature Extraction -- 3.2 AdaBoost for Fault Diagnosis -- 4 Cases Study -- 4.1 Tennessee Eastman Process -- 4.2 Faults Selection -- 4.3 Confusion Matrix -- 4.4 Comparison with Other Methods -- 5 Conclusions -- References -- Structural Health Monitoring of Similar Gantry Crane Based on Federated Learning Algorithm -- 1 Introduction -- 2 Monitoring Model and Fault Simulation -- 2.1 Monitoring Model and Damage Detection -- 2.2 Wireless Edge Gateway Data Acquisition System -- 2.3 Design and Measurement of Load Excitation -- 3 Federated Learning Algorithm for Fault Identification of Gantry Crane -- 3.1 Algorithm Overview -- 3.2 Unsupervised Neural Network USAD Algorithm -- 3.3 FedAvg -- 3.4 XGBoost -- 4 Experiment -- 4.1 Federated Learning Based Anomaly Detection -- 4.2 Abnormal Classification of Gantry Cranes -- 5 Conclusion -- References -- Accelerated Lifetime Experiment of Maximum Current Ratio Based on Charge and Discharge Capacity Confinement -- 1 Introduction -- 2 Principle of Maximum Current Rate Acceleration Life Experiment -- 3 Constant Current Rate Acceleration -- 4 Variable Current Rate Acceleration -- 4.1 Fixed Time Length Segmentation Acceleration -- 4.2 The Granularity D is Optimized by the Charge Throughput Constraint -- 5 Conclusion -- References -- Adaptive Design of Uni-Variate Alarm Systems Based on Statistical Distance Measures -- 1 Introduction -- 2 Problem Formulation -- 2.1 Detecting Alarm States -- 2.2 Abrupt Faults -- 3 Safe Designed Alarm System -- 4 Statistical Difference Values.
5 Simulated Example -- 6 Conclusion -- References -- Correlation Analysis Between Insomnia Severity and Depressive Symptoms of College Students Based on Pseudo-Siamese Network -- 1 Introduction -- 2 Methodology -- 2.1 Data -- 2.2 Evaluation Methodology -- 2.3 Statistical Analysis of Correlation Model Based on Pseudo-Siamese Network -- 2.4 Data Processing -- 2.5 Correlation Model Establishment and Test Plan -- 3 Results -- 3.1 General Demographic Characteristics -- 3.2 Mediation Effect Analysis -- 3.3 Physical Activity Impact -- 4 Discussion -- References -- Construction and Research of Pediatric Pulmonary Disease Diagnosis and Treatment Experience Knowledge Graph Based on Professor Wang Lie's Experience -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Sources -- 2.2 Inclusion Criteria -- 2.3 Exclusion Criteria -- 2.4 Standardized Processing of Data -- 2.5 Knowledge Extraction -- 2.6 Knowledge Graph Construction Method -- 3 Results -- 3.1 Pattern Layer Graph -- 3.2 Data Layer Graph -- 4 Application of Professor Wang's Knowledge Graph for the Diagnosis and Treatment of Pediatric Pulmonary Diseases -- 5 Conclusion -- References -- A Novel SEIAISRD Model to Evaluate Pandemic Spreading -- 1 Introduction -- 2 Methods -- 2.1 The SEIAISRD Model -- 2.2 Estimating the Effective Reproduction Number -- 2.3 Data-Fitting and Sensitivity Analysis -- 3 Results -- 3.1 Model Formulation and Validation -- 3.2 Case Studies for the Representative Countries -- 4 Conclusion -- References -- Keyword-based Research Field Discovery with External Knowledge Aware Hierarchical Co-clustering -- 1 Introduction -- 2 Background -- 2.1 Co-clustering -- 2.2 HICCAM -- 3 Method -- 3.1 Dataset Preparation -- 3.2 Auxiliary Knowledge Preparation -- 3.3 Clustering -- 3.4 Parameter Tuning -- 4 Results and Discussion -- 4.1 Parameter Study -- 4.2 Case Study -- 5 Conclusion.
References -- An End-to-End Intent Recognition Method for Combat Drone Swarm -- 1 Introduction -- 2 Related Work -- 3 General Framework of the End-to-End Intent Recognition Method -- 3.1 Problem Definition -- 3.2 Model Architecture -- 3.3 Mapping Method -- 3.4 Feature Extraction Module -- 3.5 Intent Prediction Module -- 4 Experiments -- 4.1 Data and Environment -- 4.2 Evaluation Metric -- 4.3 Baseline -- 4.4 Result -- 5 Conclusion -- References -- An Attention Detection System Based on Gaze Estimation Using Self-supervised Learning -- 1 Introduction -- 2 Framework of Gaze Estimation -- 2.1 Contrastive Learning Pre-training -- 2.2 Gaze Estimation -- 3 Attention Detection System -- 4 Experiments -- 5 Conclusion -- References -- Effects of Pseudo Labels in Pose Estimation Models Using Semi-supervised Learning -- 1 Introduction -- 2 Related Works -- 2.1 Semi-supervised Learning -- 3 Proposal Learning Procedure -- 4 Experiments -- 4.1 Dataset -- 4.2 Parameter Setup -- 4.3 Epochs Normalization -- 4.4 Evaluation -- 5 Experimental Results and Discussions -- 6 Conclusions and Future Works -- References -- Sequential Masking Imitation Learning for Handling Causal Confusion in Autonomous Driving -- 1 Introduction -- 2 Related Work -- 2.1 Pipelines of Autonomous Driving -- 2.2 Confusion in Imitation -- 3 SEMI Methodology -- 3.1 Semantic Encoder -- 3.2 Masking Semantic Objects in Sequential Setting -- 3.3 Behavior Cloning with Imbalanced Dataset -- 4 Experiment -- 4.1 Network Structure -- 4.2 Simulation Environment and Data Collection -- 4.3 Contrast Experiment -- 5 Results -- 5.1 Evaluation Procedure -- 5.2 Discussion -- 5.3 Analysis -- 6 Conclusion -- References -- Proposal of Timestamp-Based Dynamic Context Features for Music Recommendation -- 1 Introduction -- 2 Related Work -- 2.1 Music Recommender System -- 2.2 Context-Aware Music Recommender System.
3 Proposed Method -- 3.1 Dynamic Context Features -- 3.2 Recommendation System -- 4 Experiments -- 4.1 Outline -- 4.2 Results -- 5 Conclusion -- References -- Method to Control Embedded Representation of Piece of Music in Playlists -- 1 Introduction -- 1.1 Notations -- 2 Related Work -- 2.1 Distributed Representation -- 2.2 Music Recommendation -- 3 Proposed Method and Investigation -- 3.1 Investigation on Embeddings -- 3.2 Proposed Method to Reduce Bias -- 4 Conclusion -- References -- Design and Implementation of ANFIS on FPGA and Verification with Class Classification Problem -- 1 Introduction -- 2 Applying AFIS to the Iris Classification -- 3 Hardware Program Design for 16bit ANFIS -- 4 Results and Comparison -- 5 Conclusions and Future Work -- References -- Intelligent Optimization and Decision-Making -- Beacon Localization Method Based on Flower Pollination-Fireworks Algorithm -- 1 Introduction -- 1.1 Wireless Sensor Positioning Technology -- 1.2 Main Research Content -- 2 Beacon Positioning Model -- 2.1 UWB Beacon -- 2.2 Basic Principles of Beacon Positioning -- 2.3 Factors Affecting Beacon Positioning -- 3 RSSI Localization Algorithm Based on Flower Pollination-Fireworks Algorithm -- 3.1 RSSI Localization Algorithm -- 3.2 Fireworks Algorithm -- 3.3 Improved Fireworks Algorithm Based on Flower Pollination -- 3.4 The Algorithm Flow of FP-FWA -- 4 Simulation Experiments and Results Analysis -- 4.1 Preparations Before the Algorithm Experiments -- 4.2 Localization Algorithm Experiment -- 5 Conclusion -- References -- Parameter Identification for Fictitious Play Algorithm in Repeated Games -- 1 Introduction -- 2 Problem Formulation -- 3 The Identification for Parameters in the FP Algorithm -- 3.1 The Identification Algorithm for Assessment Parameter K -- 3.2 The Identification for Irrational 21 -- 4 Conclusions and Future Work -- References.
An Improved Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization.
Record Nr. UNINA-9910760282603321
Xin Bin  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Computational Intelligence and Intelligent Informatics : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part II / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong
Advanced Computational Intelligence and Intelligent Informatics : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part II / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong
Autore Xin Bin
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (365 pages)
Disciplina 006.3
Altri autori (Persone) KubotaNaoyuki
ChenKewei
DongFangyan
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer vision
Robotics
Machine learning
Pattern recognition systems
Artificial Intelligence
Computer Vision
Machine Learning
Automated Pattern Recognition
Intel·ligència artificial
Visió per ordinador
Aprenentatge automàtic
Reconeixement de formes (Informàtica)
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 9789819975938
981997593X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Pattern Recognition and Computer Vision -- Advanced Control -- Multi-agent Systems -- Robotics.
Record Nr. UNINA-9910760295103321
Xin Bin  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advanced Computing : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part II / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel
Advanced Computing : 13th International Conference, IACC 2023, Kolhapur, India, December 15–16, 2023, Revised Selected Papers, Part II / / edited by Deepak Garg, Joel J. P. C. Rodrigues, Suneet Kumar Gupta, Xiaochun Cheng, Pushpender Sarao, Govind Singh Patel
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (445 pages)
Disciplina 929.605
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Application software
Education - Data processing
Image processing - Digital techniques
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer and Information Systems Applications
Computers and Education
Computer Imaging, Vision, Pattern Recognition and Graphics
Intel·ligència artificial
Enginyeria d'ordinadors
Xarxes d'ordinadors
Programari d'aplicació
Processament de dades
Soggetto genere / forma Congressos
Llibres electrònics
ISBN 3-031-56703-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Agricultural Resilience and Disaster Management for Sustainable Harvest -- Plant Disease Recognition using Machine Learning and Deep Learning Classifiers -- Securing Lives and Assets: IoT-Based Earthquake and Fire Detection for Real-Time Monitoring and Safety -- An Early Detection of Fall Using Knowledge Distillation Ensemble Prediction Using Classification -- Deep Learning Methods for Precise Sugarcane Disease Detection and Sustainable Crop Management -- An Interactive Interface for Plant Disease Prediction and Remedy Recommendation -- Tilapia Fish Freshness Detection using CNN Models -- Chilli Leaf Disease Detection using Deep Learning -- Damage Evaluation Following Natural Disasters Using Deep Learning -- Total Electron Content Forecasting in Low Latitude Regions of India: Machine & Deep Learning Synergy -- Disease and Abnormalities Detection using ML and IOT -- Early Phase Detection of Diabetes Mellitus Using Machine Learning -- Diabetes Risk Prediction through Fine-Tuned Gradient Boosting -- Early Detection of Diabetes using ML-based Classification Algorithms -- Prediction Of Abnormality Using IoT and Machine Learning -- Detection of Cardiovascular Diseases using Machine Learning Approach -- Mild Cognitive Impairment Diagnosis Using Neuropsychological Tests and Agile Machine Learning -- Heart Disease Diagnosis using Machine Learning Classifiers -- Comparative Evaluation of Feature Extraction Techniques in Chest X Ray Image with Different Classification Model -- Application of Deep Learning in Healthcare -- Transfer Learning Approach for Differentiating Parkinson’s Syndromes using Voice Recordings -- Detection of Brain Tumor Type Based on FANET Segmentation and Hybrid Squeeze Excitation Network with KNN -- Mental Health Analysis using Rasa and Bert: Mindful -- Kidney Failure Identification using Augment Intelligence and IOT Based on Integrated Healthcare System -- Efficient Characterization of Cough Sounds Using Statistical Analysis -- An Efficient Method for Heart Failure Diagnosis -- Novel Machine Learning Algorithms for Predicting COVID-19 Clinical Outcomes with Gender Analysis -- A Genetic Algorithm-Enhanced Deep Neural Network for Efficient and Optimized Brain Tumor Detection -- Diabetes Prediction using Ensemble Learning -- Cancer Detection Using AI -- A Predictive Deep Learning Ensemble Based Approach for Advanced Cancer Classification -- Predictive Deep Learning: An Analysis of Inception V3, VGG16, and VGG19 Models for Breast Cancer Detection -- Innovation in the Field of Oncology: Early Lung Cancer Detection and Classification using AI -- Colon Cancer Nuclei Classification with Convolutional Neural Networks -- Genetic Algorithm-based Optimization of UNet for Breast Cancer Classification: A Lightweight and Efficient approach for IoT Devices -- Classification of Colorectal Cancer Tissue Utilizing Machine Learning Algorithms -- Prediction of Breast Cancer using Machine Learning Technique.
Record Nr. UNINA-9910845499703321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Advanced Computing : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta
Advanced Computing : 12th International Conference, IACC 2022, Hyderabad, India, December 16–17, 2022, Revised Selected Papers, Part II / / edited by Deepak Garg, V. A. Narayana, P. N. Suganthan, Jaume Anguera, Vijaya Kumar Koppula, Suneet Kumar Gupta
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XXXIV, 476 p. 264 illus., 207 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Artificial intelligence
Computer engineering
Computer networks
Application software
Education—Data processing
Image processing—Digital techniques
Computer vision
Artificial Intelligence
Computer Engineering and Networks
Computer and Information Systems Applications
Computers and Education
Computer Imaging, Vision, Pattern Recognition and Graphics
Intel·ligència artificial
Enginyeria de programari
Ensenyament assistit per ordinador
Processament digital d'imatges
Soggetto genere / forma Llibres electrònics
Congressos
ISBN 9783031356445
3031356446
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Innovations in AI -- System Security and communication using AI -- Use of AI in Human Psychology -- Use of AI in Music and Video Industries.
Record Nr. UNINA-9910734854603321
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui

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