| Description |
1 online resource (x, 322 pages) : illustrations (some color). |
| Series |
Lecture notes in networks and systems, 2367-3389 ; 710 |
|
Lecture notes in networks and systems ; v. 710.
2367-3389
|
| Access |
Open access. GW5XE |
| Summary |
This open access book presents the proceedings of the 10th Machine Intelligence and Digital Interaction Conference. Artificial intelligence (AI) is rapidly affecting more aspects of our lives as a result of significant advancements in its research and the widespread usage of interactive technologies. This has led to the birth of several new social phenomena. Many nations have been working to comprehend these phenomena and discover solutions for moving artificial intelligence development in the proper direction to benefit individuals and communities at large. These efforts necessitate multidisciplinary approaches, encompassing not only the scientific fields involved in the creation of artificial intelligence and human-computer interaction but also strong collaboration between academics and practitioners. Because of this, the primary objective of the MIDI conference, which was conducted online on December 13-15, 2022, is to combine two up until recently distinct disciplines of research--artificial intelligence and human-technology interaction. |
| Note |
Includes author index. |
|
Online resource; title from PDF title page (SpringerLink, viewed July 31, 2023). |
| Contents |
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 |
| Local Note |
Springer Nature Springer Nature - SpringerLink eBooks - Fully Open Access |
| Subject |
Artificial intelligence -- Congresses.
|
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Human-computer interaction -- Congresses.
|
| Genre/Form |
Electronic books.
|
|
proceedings (reports)
|
|
Conference papers and proceedings.
|
| Added Author |
Biele, Cezary, editor.
|
|
Kacprzyk, Janusz, editor. https://orcid.org/0000-0003-4187-5877
|
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Kopeć, Wiesław, editor.
|
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Owsiński, J. W. (Jan W.), editor.
|
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Romanowski, Andrzej, editor.
|
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Sikorski, Marcin, editor.
|
| Added Title |
MIDI 2022 |
| ISBN |
9783031376498 (electronic bk.) |
|
3031376498 (electronic bk.) |
|
9783031376481 |
| Standard No. |
10.1007/978-3-031-37649-8 doi |
|
