03822nam a22005175i 4500001001800000003000900018005001700027007001500044008004100059020001800100024003500118050000900153072001600162072002300178072001500201245035300216250001800569264006900587300006600656336002600722337002600748338003600774347002400810490006200834505054600896520083601442650003202278650003402310650002202344650003202366650002202398650002202420700007602442700014602518700008002664700007902744700008002823700008202903700007902985710003403064773002603098776003603124776003603160830006203196856004603258978-3-031-66594-3DE-He21320251030112854.0cr nn 008mamaa240814s2024    sz |    s    |||| 0|eng d  a97830316659437 a10.1007/978-3-031-66594-32doi 4aQ342 7aUYQ2bicssc 7aCOM0040002bisacsh 7aUYQ2thema10aDigital Interaction and Machine Intelligenceh[electronic resource] :bProceedings of MIDI’2023 – 11th Machine Intelligence and Digital Interaction – Conference, December 12-14, 2023, Warsaw, Poland (online) /cedited by Cezary Biele, Janusz Kacprzyk, Wiesław Kopeć, Jakub Możaryn, Jan W. Owsiński, Andrzej Romanowski, Marcin Sikorski.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXI, 372 p. 137 illus., 116 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Networks and Systems,x2367-3389 ;v10760 aMaritime 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.  aArtificial 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. 0aComputational intelligence. 0aEngineeringxData processing. 0aMachine learning.14aComputational Intelligence.24aData Engineering.24aMachine Learning.1 aBiele, Cezary.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aKacprzyk, Janusz.eeditor.0(orcid)0000-0003-4187-58771https://orcid.org/0000-0003-4187-58774edt4http://id.loc.gov/vocabulary/relators/edt1 aKopeć, Wiesław.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aMożaryn, Jakub.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aOwsiński, Jan W.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aRomanowski, Andrzej.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt1 aSikorski, Marcin.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt2 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303166593608iPrinted edition:z9783031665950 0aLecture Notes in Networks and Systems,x2367-3389 ;v107640uhttps://doi.org/10.1007/978-3-031-66594-3