LEADER 00930nam 2200313Ia 450 001 996393701703316 005 20221102112739.0 035 $a(CKB)3360000000359434 035 $a(EEBO)2240868849 035 $a(OCoLC)226317886 035 $a(EXLCZ)993360000000359434 100 $a20080428f16001699 uy 0 101 0 $aeng 135 $aurbn||||a|bb| 200 00$a[Diagram naming the parts of a cannon barrel]$b[electronic resource] 210 $a[England $cs.n.$d16--?] 215 $a[1] leaf $cill 300 $aTitle provided by cataloger. 300 $aFragment from an unidentified work. 300 $aReproduction of original in the British Library. 330 $aeebo-0018 606 $aOrdnance$vEarly works to 1800 615 0$aOrdnance 801 0$bUMI 801 1$bUMI 906 $aBOOK 912 $a996393701703316 996 $aDiagram naming the parts of a cannon barrel$92310294 997 $aUNISA LEADER 03590nam 22005775 450 001 9910627279903321 005 20251113202043.0 010 $a3-031-17601-4 024 7 $a10.1007/978-3-031-17601-2 035 $a(CKB)5850000000078597 035 $a(MiAaPQ)EBC7101997 035 $a(Au-PeEL)EBL7101997 035 $a(PPN)264957261 035 $a(OCoLC)1347024553 035 $a(DE-He213)978-3-031-17601-2 035 $a(EXLCZ)995850000000078597 100 $a20220922d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNovel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022) /$fedited by Akrivi Krouska, Christos Troussas, Jaime Caro 205 $a1st ed. 2023. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2023. 215 $a1 online resource (410 pages) 225 1 $aLecture Notes in Networks and Systems,$x2367-3389 ;$v556 311 08$a3-031-17600-6 327 $aCross-Cutting Support of Decision Making for Forming Personalized Learning Spaces -- Personalized Learning in an Intelligent Educational System -- Electronic-Service Learning to Sustain Instruction with Civic Engagement during the COVID-19 Pandemic -- Evaluating E-Learning Process on Virtual Classroom Systems using an ISO-based model -- SERVE as instructional design for low-connectivity online self-directed modules -- From Threads to Textiles: Building an Ontology for the Indigenous Fabrics of the Ifugao -- TraCon: A novel dataset for real-time traffic cones detection using deep learning -- A Comparison of Machine Learning Methods for Modeling Dengue Incidence in Local Communities. 330 $aThis book summarizes the research findings presented at the 2nd International Conference on Novel & Intelligent Digital Systems (NiDS 2022). NiDS 2022 was implemented virtually due to COVID-19 restrictions, on September 29-30, 2022, under the auspices of the Institute of Intelligent Systems. NiDS lays special emphasis on the novelties of intelligent systems and on the interdisciplinary research which enables, supports, and enhances artificial intelligence (AI) in software development. It promotes high-quality research, creating a forum for the exploration of challenges and new advances in AI, and addresses experts, researchers, and scholars in the fields of artificial and computational intelligence in systems and in computer sciences in general, enabling them to learn more about pertinent, strongly related, and mutually complementary fields. The conference promotes an exchange of ideas, reinforcing and expanding the network of researchers, academics, and market representatives. 410 0$aLecture Notes in Networks and Systems,$x2367-3389 ;$v556 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aComputational Intelligence 606 $aArtificial Intelligence 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 676 $a006.3 676 $a006.3 700 $aKrouska$b Akrivi$01266979 702 $aTroussas$b Christos 702 $aCaro$b J. Jaime 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910627279903321 996 $aNovel & Intelligent Digital Systems: Proceedings of the 2nd International Conference (NiDS 2022)$94465164 997 $aUNINA