04238nam a22006015i 4500 978-3-031-66594-3 DE-He213 20251030112854.0 cr nn 008mamaa 240814s2024 sz | s |||| 0|eng d 9783031665943 978-3-031-66594-3 10.1007/978-3-031-66594-3 doi Q342 UYQ bicssc COM004000 bisacsh UYQ thema 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. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XI, 372 p. 137 illus., 116 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Networks and Systems, 2367-3389 ; 1076 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. Computational intelligence. 64052 Engineering Data processing. Machine learning. 55059 Computational Intelligence. 64052 Data Engineering. 66059 Machine Learning. 55059 Biele, Cezary. editor. edt http://id.loc.gov/vocabulary/relators/edt 82359 Kacprzyk, Janusz. editor. (orcid)0000-0003-4187-5877 https://orcid.org/0000-0003-4187-5877 edt http://id.loc.gov/vocabulary/relators/edt 70096 Kopeć, Wiesław. editor. edt http://id.loc.gov/vocabulary/relators/edt 82360 Możaryn, Jakub. editor. edt http://id.loc.gov/vocabulary/relators/edt 82361 Owsiński, Jan W. editor. edt http://id.loc.gov/vocabulary/relators/edt 82362 Romanowski, Andrzej. editor. edt http://id.loc.gov/vocabulary/relators/edt 82363 Sikorski, Marcin. editor. edt http://id.loc.gov/vocabulary/relators/edt 82364 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031665936 Printed edition: 9783031665950 Lecture Notes in Networks and Systems, 2367-3389 ; 1076 https://doi.org/10.1007/978-3-031-66594-3 ZDB-2-INR ZDB-2-SXIT 62474 62474