Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Digital Interaction and Machine Intelligence : Proceedings of MIDI'2023 - 11th Machine Intelligence and Digital Interaction - Conference, December 12-14, 2023, Warsaw, Poland (online)
| Digital Interaction and Machine Intelligence : Proceedings of MIDI'2023 - 11th Machine Intelligence and Digital Interaction - Conference, December 12-14, 2023, Warsaw, Poland (online) |
| Autore | Biele Cezary |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (374 pages) |
| Altri autori (Persone) |
KacprzykJanusz
KopećWiesław MożarynJakub OwsińskiJan W RomanowskiAndrzej SikorskiMarcin |
| Collana | Lecture Notes in Networks and Systems Series |
| ISBN | 3-031-66594-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Machine Intelligence -- Maritime Vessel Detection and Classification in Harbor Environment Using Deep Learning -- 1 Introduction -- 2 Related Works -- 3 Working Methodology -- 3.1 Selected Models -- 3.2 Dataset -- 3.3 Evaluation Approach -- 4 Implementation -- 4.1 Detection Experiments -- 4.2 Classification Experiments -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Fraud Detection Through Nature-Inspired Algorithms -- 1 Introduction -- 2 Related Works -- 3 Problem Definition and Dataset Characteristics -- 4 Proposed Method -- 5 Detailed Experiments and Methodology -- 5.1 Experimental Design and Methodology -- 6 Results -- 7 Conclusion and Future Work -- References -- The Uniform Anti-plagiarism System (JSA): The Role of Layout in Diploma Thesis Page Classification -- 1 The Uniform Anti-plagiarism System -- 2 Dataset -- 3 Experiments and Results -- 4 Conclusions -- References -- Pothole Classification Using DenseNet Model: An Empirical Analysis with CNN and InceptionResNetV2 -- 1 Introduction -- 2 Literature Study -- 3 Experiment and Result Analysis -- 4 Conclusion -- References -- Chili-Net: An Approach for Classifying Chili Leaf Diseases Using Deep Neural Networks -- 1 Introduction -- 2 Methodology -- 2.1 Dataset -- 2.2 Feature Extraction -- 2.3 Classification -- 3 Results and Discussions -- 3.1 Ablation Study -- 4 Conclusion -- References -- Assessing Code Review Quality with ChatGPT: A Survey of Automated Reviewer Assignment Methods and Experimental Outcomes -- 1 Introduction -- 2 Literature Review -- 3 Investigating Discrepancies in Annotation Alignment Across Domain Specialists, Gpt-3.5-turbo, and Gpt-4 -- 4 Exploring Study Boundaries and Trends that Require Validation -- 5 Conclusion -- References -- VisualSLAM Systems Supported by LiDAR Scanners -- 1 Introduction.
1.1 LiDAR SLAM -- 1.2 VisualSLAM -- 1.3 LiDAR SLAM and VisualSLAM Comparison -- 2 Overview of VisualSLAM with LiDAR Scanners Solutions -- 2.1 Methods for Integrating VisualSLAM and LiDAR Scanners -- 2.2 VisualSLAM and Distance Data from LiDAR Scanner -- 2.3 Simultaneous VisualSLAM and LiDAR SLAM -- 2.4 Advantages and Challenges -- 2.5 Trends and Potential Directions for Development -- 3 Summary and Conclusions -- References -- Enhancing Diabetic Retinopathy Detection with Image Processing Techniques and Deep Learning EfficientNetB0: A Comparative Analysis -- 1 Introduction -- 1.1 Related Works -- 2 Research Methodology -- 2.1 Dataset -- 2.2 Image Processing Techniques -- 2.3 Model Architecture -- 2.4 Experimental Setup -- 2.5 Performance Metrics -- 3 Experimental Results -- 4 Conclusion -- References -- Deep Learning for Predicting Credit Card Default -- 1 Introduction -- 2 Literature Review -- 3 Materials and Methods -- 3.1 The Dataset -- 3.2 Baseline Hyperparameter Tuning -- 3.3 Gradient Boosted Decision Trees -- 3.4 Multi Layer Perceptron (MLP) -- 3.5 CNN-Based Time Series Classification and Training -- 4 Experiments and Results -- 5 Conclusion -- 5.1 Future Work -- References -- Assessment of Performance for Cloud-Native Machine Learning on Edge Devices -- 1 Introduction -- 2 Methodology -- 2.1 Laboratory Environment -- 2.2 Overview of the Experimental Design -- 2.3 Experimental Setup -- 3 Experiment Results -- 4 Conclusions -- References -- Day Ahead Electricity Price Forecasting with Neural Networks - One or Multiple Outputs? -- 1 Introduction -- 2 Related Work -- 3 Electricity Price Modelling -- 3.1 Dataset -- 3.2 Modelling -- 4 Results -- 5 Conclusions -- References -- Audio Streaming and Multimedia Communication with Bluetooth Low Energy -- 1 Introduction -- 2 Peer to Peer (P2P) Audio Streaming -- 2.1 Using L2CAP Protocol. 2.2 Connection Interval (CI) -- 2.3 Maximum Transmission Unit (MTU) -- 2.4 Capturing Audio with Microphone -- 2.5 Choosing the Appropriate Codec for Audio -- 2.6 Transmission of the Recorded Audio -- 2.7 Playing the Received Audio Data -- 3 Multi-hop Audio Streaming -- 4 Findings and Discussion -- 5 Conclusion -- References -- Digital Interaction -- Enhancing Learner Motivation, Engagement, and Enjoyment Through Sound-Recognizing Humanoid Robots in Quiz-Based Educational Games -- 1 Introduction -- 2 The Humanoid Robot Pepper -- 3 Scenario Description -- 4 Methods -- 4.1 Participants -- 4.2 Materials -- 4.3 Sound Recognition with Pepper -- 5 Result -- 6 Conclusion -- References -- Same Task, Different Robot. Comparing Perceptions of Humanoid Robots Nao and Pepper as Facilitators of Empathy Mapping -- 1 Introduction -- 2 Scenario Design -- 3 Methods -- 3.1 Participants -- 3.2 Setup and Materials -- 4 Results -- 4.1 Q1: Differences in Psychological Perceptions of the Robots -- 4.2 Q2: Differences in the Experience of the Human-Robot Interaction -- 5 Conclusions -- References -- Real-Time Gameplay Data and Biometric Measurement Integration as a Data Source for Game User Research -- 1 Introduction -- 2 Game Analytics and Game User Research Intersections -- 2.1 Game Analytics (GA) -- 2.2 Biometrics as a Game User Research Method -- 2.3 Triangulation vs Integration -- 3 Project Description -- 3.1 Gameplay Design -- 3.2 Recording of Game Events -- 3.3 Data Integration Approach -- 4 Research Procedure -- 5 Data Analysis Results -- 6 Project Limitations -- 7 Conclusions -- References -- Concept of a Time Perspective in Extended Reality Interface for Industrial Application -- 1 Introduction -- 2 Smart Refinery - 3D Industrial Environment in a Virtual Reality Interface -- 3 Time Perspective in Data and Application Layers. 4 Scope of Scientific Research in a VR/AR Domain -- 5 Conclusions -- References -- Interactive Spatial Audio Diffusion: The Pendulum Haptic Interface Prototype -- 1 State of the Art -- 2 Hardware -- 2.1 Data Processing and Calibration -- 3 Spatialization -- 3.1 Spatial Mapping -- 4 Data Sonification -- 5 Main Benefits and Limitations -- 6 Pilot Study -- 7 Conclusion -- References -- Between No-Code, Low-Code, Custom-Code, and AI. Hyperautomation Strategies at Nordic Enterprises -- 1 Introduction -- 2 Research Method -- 3 Findings and Discussion -- 4 Conclusions -- References -- Uncovering Influential Factors of Civil Unrest in South Africa: A Machine Learning and OSINT Approach -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Collection -- 3.2 Data Cleaning and Pre-processing -- 4 Data Analysis and Results -- 4.1 Feature Selection -- 4.2 Correlation Heatmap -- 4.3 Modelling and Evaluation -- 5 Conclusions -- References -- Investigating Trust Perceptions Toward AI in Industrial Designers -- 1 Introduction -- 2 Related Work -- 3 Methodology and Procedure -- 3.1 Phase I: Online Questionnaire -- 3.2 Phase II: Semi-structured Interviews -- 3.3 Sample -- 4 Results -- 4.1 Phase I: Online Questionnaire -- 4.2 Phase II: Semi-structured Interviews -- 5 Discussion -- 6 Limitations -- 7 Future Work Recommendations -- 8 Conclusion -- References -- The Relationship Between the Mental Ill-Being of Youth and a Question They Wish to Ask the Artificial Intelligence. The Exploratory Study -- 1 Introduction -- 2 Research Background -- 3 Method -- 3.1 Procedure Before the Research -- 3.2 Research Participants -- 3.3 Procedure of the Main Research -- 4 Results -- 5 Discussion and Conclusions -- References -- Character Engagement: The Modulatory Role of Cultural Capital in Copresence Across Cinematic VR Modalities -- 1 Introduction -- 2 Method. 2.1 Participants -- 2.2 Materials -- 2.3 Procedure -- 3 Results -- 3.1 Quantitative Analyses -- 3.2 Qualitative Analyses -- 4 Discussion -- 5 Limitations -- 6 Future Directions -- References -- Social Representation of Robots and Its Impact on Trust and Willingness to Cooperate -- 1 Introduction -- 2 Method -- 3 Results -- 4 Connections Between Associations with Robots, Attitudes Towards Robots and Belief in the Uniqueness of Human Nature -- 5 Discussion -- 6 Conclusions -- References -- Human-Centered Programming: The Design of a Robotic Process Automation Language -- 1 Introduction -- 2 Related Work -- 2.1 Existing RPA Languages -- 2.2 Human-Readable Language Heuristics -- 3 Methods: How We Developed the Language -- 3.1 Industry Collaboration: Business Processes -- 3.2 Industry Collaboration: Existing Programs -- 3.3 Charting the Business Processes -- 4 Results: eXtensible Robotic Language (XRL): Our Proposed RPA Language and Representation Syntax -- 4.1 Syntax Examples -- 5 Conclusions -- References -- A Pilot Study of a Human-Readable Robotic Process Automation Language -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Study Protocol -- 4 Results and Discussion -- 4.1 Participants -- 4.2 Legend and Metrics -- 4.3 Example Blue -- 4.4 Example Green -- 4.5 Example Red -- 4.6 Limitations -- 5 Discussion and Conclusions -- References -- Preserving the Artifacts of the Early Digital Era: A Study of What, Why and How? -- 1 Introduction -- 2 Related Work -- 3 Methods -- 4 Results and Discussion -- 4.1 Survey Demographics -- 4.2 What Is an Artifact of the Early Digital Age? -- 4.3 Why to Preserve Artifacts of the Early Digital Age? -- 4.4 How to Preserve Artifacts of the Early Digital Age? -- 5 Conclusion and Future Work -- References -- Special Session: Exploring Interactions in Virtual Reality: Advancements, Applications, and Future Directions. Transferring the Movement of a Real Hand with Potential Measurement of the Finger Range of Motion. |
| Record Nr. | UNINA-9910881087503321 |
Biele Cezary
|
||
| Cham : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Digital Interaction and Machine Intelligence [[electronic resource] ] : Proceedings of MIDI’2022 – 10th Machine Intelligence and Digital Interaction – Conference, December 12-15, 2022, Warsaw, Poland (Online) / / edited by Cezary Biele, Janusz Kacprzyk, Wiesław Kopeć, Jan W. Owsiński, Andrzej Romanowski, Marcin Sikorski
| Digital Interaction and Machine Intelligence [[electronic resource] ] : Proceedings of MIDI’2022 – 10th Machine Intelligence and Digital Interaction – Conference, December 12-15, 2022, Warsaw, Poland (Online) / / edited by Cezary Biele, Janusz Kacprzyk, Wiesław Kopeć, Jan W. Owsiński, Andrzej Romanowski, Marcin Sikorski |
| Autore | Biele Cezary |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (327 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KacprzykJanusz
KopećWiesław OwsińskiJan W RomanowskiAndrzej SikorskiMarcin |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Machine learning Computational Intelligence Data Engineering Machine Learning |
| ISBN | 3-031-37649-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Contents -- Machine Intelligence -- Light Fixtures Position Detection Using a Camera -- 1 Introduction -- 1.1 Use Case -- 1.2 Programming Light Show -- 1.3 Light Network Control -- 2 State of the Art -- 3 Software -- 3.1 Programming Environment -- 3.2 Light Fixture Detection -- 3.3 GUI and User Input -- 4 Experiment -- 4.1 Lights Setup -- 4.2 Camera -- 5 Results -- 6 Discussion -- 7 Conclusion -- 8 Limitations -- 9 Future Research -- 10 Declarations -- References -- Improved Vehicle Logo Detection and Recognition for Complex Traffic Environments Using Deep Learning Based Unwarping of Extracted Logo Regions in Varying Angles -- 1 Introduction -- 2 Related Works -- 3 Working Methodology -- 3.1 Selected Models -- 3.2 Dataset -- 4 Results and Discussions -- 4.1 Test Cases -- 4.2 Comparative Analysis -- 4.3 Pose Variation Calculation -- 5 Conclusion and Future Work -- References -- Predicting Music Using Machine Learning -- 1 Introduction -- 2 Data -- 3 Feature Representation -- 3.1 Basic Music Notation -- 3.2 Note and Chord Representation -- 4 Methods and Modeling -- 4.1 Markov Chain Model -- 4.2 LSTM Model -- 4.3 LSTM Encoder-Decoder Model -- 4.4 Inference Modeling -- 4.5 Other Techniques -- 5 Results and Observations -- 6 Conclusion and Future Work -- References -- A Novel Process of Shoe Pairing Using Computer Vision and Deep Learning Methods -- 1 Introduction -- 2 Related Work -- 3 The Proposed Approach -- 3.1 Deep Multiview Representation Learning -- 3.2 Clustering -- 4 Results -- 5 Conclusions -- References -- Representation of Observations in Reinforcement Learning for Playing Arcade Fighting Game -- 1 Introduction -- 2 Environment Setup for KOF '97 -- 2.1 Interaction with Arched Emulator -- 2.2 Action Space -- 2.3 Observation -- 2.4 Graphical Representation of the Input and ACT Sequences -- 2.5 Reward System.
2.6 Proposed Network Structure -- 3 Experiment -- 3.1 Training Process -- 3.2 Results -- 3.3 Discussion -- 4 Conclusions -- References -- AI4U: Modular Framework for AI Application Design -- 1 Motivation -- 2 Related Work -- 3 Proposed Approach -- 4 The Application Area -- 4.1 Watchman Scenario -- 4.2 Parkmonitor Scenario -- 4.3 Tracker Scenario -- 4.4 Mapping the Environment Scenario -- 4.5 Vehicle Counting -- 4.6 Space Surveyer -- 4.7 Mission to Mars -- 4.8 First Conclusions -- 5 Conclusions and Further Work -- References -- A Competent Deep Learning Model to Detect COVID-19 Using Chest CT Images -- 1 Introduction -- 2 Literature Review -- 3 Our Proposed Methodology -- 3.1 Dataset Description and Preprocessing -- 3.2 Methodology -- 4 Results -- 5 Future Work and Conclusion -- References -- AI in Prostate MRI Analysis: A Short, Subjective Review of Potential, Status, Urgent Challenges, and Future Directions -- 1 Introduction -- 2 The Potential of Artificial Intelligence in MpMRI Analysis -- 2.1 Prostate Segmentation -- 2.2 Prostate Lesion Detection and Characterization -- 3 Urgent Challenges -- 3.1 Datasets -- 3.2 Defining Ground Truth -- 3.3 Different Evaluation Criteria -- 3.4 Limited Multireader Studies and Prospective Evaluation -- 4 Future Directions -- 5 Conclusions -- References -- Performance of Deep CNN and Radiologists in Prostate Cancer Classification: A Comparative Pilot Study -- 1 Introduction -- 2 Methods -- 2.1 Dataset -- 2.2 Radiological Assessment Study -- 2.3 Deep CNN Model -- 2.4 Probability Mapping -- 2.5 Statistical Analysis -- 3 Results -- 3.1 Results of Raw CNN Predictions -- 3.2 CNN Performance Compared to Human Raters -- 3.3 Diagnostic Accuracy of Combined Assessment -- 4 Discussion and Conclusion -- References -- Assessing GAN-Based Generative Modeling on Skin Lesions Images -- 1 Introduction -- 2 Materials and Methods. 2.1 International Skin Imaging Collaboration Database -- 2.2 Training Details -- 2.3 Evaluation Protocol -- 3 Results -- 3.1 GANs Trainings -- 3.2 Predictive Performance with Classifier -- 3.3 Explanations of the Predictions -- 4 Discussion -- 5 Conclusions -- References -- Prostate Cancer Detection Using a Transformer-Based Architecture and Radiomic-Based Postprocessing -- 1 Introduction -- 2 Material and Methods -- 2.1 Preprocessing -- 2.2 Deep Learning Architecture -- 2.3 Optimization -- 2.4 Hyperparameter Selection -- 2.5 Postprocessing -- 3 Results and Discussion -- 4 Conclusions -- References -- Sales Forecasting During the COVID-19 Pandemic for Stock Management -- 1 Introduction -- 2 Dataset -- 3 Methodology -- 3.1 Problem Identification -- 3.2 Data Preparation -- 3.3 Exploratory Data Analysis -- 3.4 Feature Extraction -- 3.5 Dataset Separation -- 3.6 Regression and Machine Learning Model -- 3.7 Performance Evaluation -- 4 Findings and Interpretation -- 5 Conclusion -- References -- Digital Interaction -- Seeking Emotion Labels for Bodily Reactions: An Experimental Study in Simulated Interviews -- 1 Introduction -- 1.1 Research Goal and Motivation -- 1.2 Hypotheses and Research Question -- 2 Theoretical Background -- 3 Methodology -- 3.1 Experiment Design -- 3.2 Procedure -- 3.3 Participants -- 3.4 Data Collection -- 3.5 Preprocessing Data -- 3.6 Analysis -- 4 Results -- 5 Discussion -- 6 Conclusion -- References -- "NAO Says": Designing and Evaluating Multimodal Playful Interactions with the Humanoid Robot NAO -- 1 Introduction -- 2 Design and Programming -- 2.1 Design -- 2.2 Programming -- 3 Methods and Studies -- 4 Results -- 4.1 Perceptions of the NAO Robot and the Game "NAO Says" -- 4.2 Perceived Level of Stress Before and After the Game -- 5 Conclusions -- References. Representation of Air Pollution in Augmented Reality: Tools for Population-Wide Behavioral Change -- 1 Introduction -- 1.1 Household Related Air Pollution -- 1.2 Air Pollution Representation -- 1.3 Augmented Reality -- 2 VAPE Augmented Reality App Design -- 2.1 Purpose of the AR Application -- 2.2 Accompanying Poster -- 2.3 Implementation of Air Pollution Visual Representation -- 2.4 Application Development and Implementation -- 3 Pretest Results -- 4 Conclusions -- References -- Ukrainian Version of the Copresence Scale -- 1 Introduction -- 2 Theoretical Context -- 2.1 War Migration from Ukraine in Poland -- 2.2 Copresence -- 2.3 Mediated Communication and War Migration -- 3 Method -- 3.1 Sample and Data Collection -- 3.2 Measures -- 3.3 Data Analysis -- 4 Results -- 4.1 Descriptive Statistics -- 4.2 Validation of the Ukrainian Perceived Copresence Scale (PCS-U) -- 5 Discussion -- References -- Modular Platform for Teaching Robotics -- 1 Motivation -- 2 Observations -- 3 Idea -- 4 Construction -- 5 Algorithm's Working Principles -- 6 Tests -- 7 Conclusions -- References -- A Method for Co-designing Immersive VR Environments with Users Excluded from the Main Technological Discourse -- 1 Introduction -- 2 Related Work -- 3 RAPID Approach Outline -- 3.1 I. Preliminary Phase: Team Formation -- 3.2 II. Main Phase: RAPID IERE Development -- 3.3 III. Closing Phase: XR Product Delivery and Testing -- 4 Discussion -- 4.1 Phase I: Team Formation -- 4.2 Phase II Development -- 4.3 Phase III Closing -- 4.4 Other Considerations -- 4.5 General Discussion -- 5 Conclusions -- References -- Improving the Usability of Requests for Consent to Use Cookies -- 1 Introduction -- 2 Privacy and Security Regulation -- 3 Dark Patterns in Cookies Consent Requests -- 4 Evaluation of Consent Requests in Lithuanian News Portals -- 5 Design Guidelines for Cookie Consent Requests. 6 Conclusions -- References -- Transdisciplinary Approach to Virtual Narratives - Towards Reliable Measurement Methods -- 1 Introduction: Motivation and Related Work -- 2 Overview of the Cinematic VR Research Method -- 2.1 The Research Application -- 2.2 Screening -- 2.3 Measures Used Before VR Experience -- 2.4 Baseline Measures -- 2.5 Cinematic VR Experience Test -- 2.6 Measures Applied After VR Experience -- 2.7 Digital Markers Calibration -- 3 Current Research - Method -- 3.1 Participants -- 3.2 Materials and Apparatus -- 3.3 Procedure -- 4 Results -- 4.1 User Experience - Experimental Setting and Equipment Evaluation -- 4.2 User State - Emotion, Arousal and Control -- 4.3 Presence -- 5 Discussion -- 6 Conclusions -- References -- Towards Gestural Interaction with 3D Industrial Measurement Data Using HMD AR -- 1 Introduction -- 2 Related Work -- 2.1 Gestural Interaction and Data Visualization in AR Systems -- 2.2 Augmented Reality in an Industrial Setting -- 3 Experimental Study Description -- 4 Results Overview -- 5 Discussion and Conclusions -- References -- Polish Adaptation of the Cybersickness Susceptibility Questionnaire (CSSQ-PL) -- 1 Introduction -- 1.1 Measuring Cybersickness -- 1.2 Predicting Cybersickness -- 2 Method -- 2.1 Participants and Apparatus -- 2.2 Measures -- 2.3 Stimuli and Procedure -- 2.4 Validation -- 3 Results -- 3.1 Language Adaptation -- 3.2 Reliability -- 3.3 Distributions -- 3.4 Validity -- 4 Discussion and Future Directions -- References -- Special Session: Advances in Collaborative Robotics -- NARX Recurrent Neural Network Model of the Graphene-Based Electronic Skin Sensors with Hysteretic Behaviour -- 1 Introduction -- 2 Graphene-Based Electronic Skin -- 3 Neural-Network Modelling -- 4 Results -- 4.1 Research Method -- 4.2 Modelling -- 4.3 Discussion -- 5 Summary -- References. Proximity Estimation for Electronic Skin Placed on Collaborative Robot Conductive Case. |
| Record Nr. | UNINA-9910735588503321 |
|
Biele Cezary
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Digital Interaction and Machine Intelligence : Proceedings of MIDI’2021 – 9th Machine Intelligence and Digital Interaction Conference, December 9-10, 2021, Warsaw, Poland / / edited by Cezary Biele, Janusz Kacprzyk, Wiesław Kopeć, Jan W. Owsiński, Andrzej Romanowski, Marcin Sikorski
| Digital Interaction and Machine Intelligence : Proceedings of MIDI’2021 – 9th Machine Intelligence and Digital Interaction Conference, December 9-10, 2021, Warsaw, Poland / / edited by Cezary Biele, Janusz Kacprzyk, Wiesław Kopeć, Jan W. Owsiński, Andrzej Romanowski, Marcin Sikorski |
| Autore | Biele Cezary |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (306 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KacprzykJanusz
KopećWiesław OwsińskiJan W RomanowskiAndrzej SikorskiMarcin |
| Collana | Lecture Notes in Networks and Systems |
| Soggetto topico |
Computational intelligence
Engineering - Data processing Machine learning Computational Intelligence Data Engineering Machine Learning |
| ISBN | 3-031-11432-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910585783803321 |
|
Biele Cezary
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Human movements in human-computer interaction (HCI) / / Cezary Biele
| Human movements in human-computer interaction (HCI) / / Cezary Biele |
| Autore | Biele Cezary |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (ix, 142 pages) : illustrations |
| Disciplina | 004.019 |
| Collana | tudies in computational intelligence |
| Soggetto topico | Human-computer interaction |
| ISBN |
3-030-90004-5
9783030900045 9783030900038 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910523784003321 |
|
Biele Cezary
|
||
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||