Proceedings of MIDI’2023 – 11th Machine Intelligence and Digital Interaction – Conference, December 12-14, 2023, Warsaw, Poland (online) Biele, Cezary. editor. edt http://id.loc.gov/vocabulary/relators/edt Kacprzyk, Janusz. editor. edt http://id.loc.gov/vocabulary/relators/edt Kopeć, Wiesław. editor. edt http://id.loc.gov/vocabulary/relators/edt Możaryn, Jakub. editor. edt http://id.loc.gov/vocabulary/relators/edt Owsiński, Jan W. editor. edt http://id.loc.gov/vocabulary/relators/edt Romanowski, Andrzej. editor. edt http://id.loc.gov/vocabulary/relators/edt Sikorski, Marcin. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

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access XI, 372 p. 137 illus., 116 illus. in color. online resource. 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. 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. edited by Cezary Biele, Janusz Kacprzyk, Wiesław Kopeć, Jakub Możaryn, Jan W. Owsiński, Andrzej Romanowski, Marcin Sikorski. Computational intelligence Engineering Data processing Machine learning Computational Intelligence Data Engineering Machine Learning Q342 9783031665943 https://doi.org/10.1007/978-3-031-66594-3 https://doi.org/10.1007/978-3-031-66594-3 240814 20251030112854.0 978-3-031-66594-3