Digital Interaction and Machine Intelligence [electronic resource] : Proceedings of MIDI’2023 – 11th Machine Intelligence and Digital Interaction – Conference, December 12-14, 2023, Warsaw, Poland (online) / edited by Cezary Biele, Janusz Kacprzyk, Wiesław Kopeć, Jakub Możaryn, Jan W. Owsiński, Andrzej Romanowski, Marcin Sikorski.
Material type:
TextSeries: Lecture Notes in Networks and Systems ; 1076Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edition: 1st ed. 2024Description: XI, 372 p. 137 illus., 116 illus. in color. online resourceContent type: - text
- computer
- online resource
- 9783031665943
- Q342
Maritime Vessel Detection and Classification in Harbor Environment using Deep Learning -- Fraud Detection Through Nature-Inspired Algorithms -- The Uniform Anti-plagiarism System (JSA): The role of layout in diploma thesis page classification -- Pothole Classification using DenseNet Model: An Empirical Analysis with CNN and InceptionResNetV2 -- Chili-Net: An Approach for Classifying Chili Leaf Diseases using Deep Neural Networks -- Assessing Review Quality with ChatGPT A Survey of Automated Reviewer Assignment Methods and Experimental.
Artificial intelligence (AI) is revolutionizing our daily lives, thanks to remarkable advancements in research and the widespread adoption of interactive technologies. This transformation has ushered in a wave of new social phenomena, prompting nations worldwide to seek understanding and solutions. 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, discovering more in the MIDI conference proceedings book, and featuring the latest insights from the conference held online on December 12–14, 2023 that combine two up until recently distinct disciplines of research—artificial intelligence and human–technology interaction.
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