001469870 000__ 05364cam\\2200673\i\4500 001469870 001__ 1469870 001469870 003__ OCoLC 001469870 005__ 20230803003350.0 001469870 006__ m\\\\\o\\d\\\\\\\\ 001469870 007__ cr\cn\nnnunnun 001469870 008__ 230621s2023\\\\sz\a\\\\o\\\\\101\0\eng\d 001469870 019__ $$a1384412387 001469870 020__ $$a9783031353086$$q(electronic bk.) 001469870 020__ $$a3031353080$$q(electronic bk.) 001469870 020__ $$z9783031353079 001469870 020__ $$z3031353072 001469870 0247_ $$a10.1007/978-3-031-35308-6$$2doi 001469870 035__ $$aSP(OCoLC)1384498939 001469870 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF 001469870 049__ $$aISEA 001469870 050_4 $$aQA76.27 001469870 08204 $$a004.072$$223/eng/20230621 001469870 1112_ $$aInternational Conference on Innovations in Computing Research$$n(2nd :$$d2023 :$$cMadrid, Spain). 001469870 24510 $$aProceedings of the Second International Conference on Innovations in Computing Research (ICR'23) /$$cKevin Daimi, Abeer Al Sadoon, editors. 001469870 24630 $$aICR'23 001469870 264_1 $$aCham :$$bSpringer,$$c[2023] 001469870 264_4 $$c©2023 001469870 300__ $$a1 online resource (xviii, 452 pages) :$$billustrations (chiefly color). 001469870 336__ $$atext$$btxt$$2rdacontent 001469870 337__ $$acomputer$$bc$$2rdamedia 001469870 338__ $$aonline resource$$bcr$$2rdacarrier 001469870 4901_ $$aLecture notes in networks and systems,$$x2367-3389 ;$$v721 001469870 500__ $$aInternational conference proceedings. 001469870 500__ $$aIncludes author index. 001469870 506__ $$aAccess limited to authorized users. 001469870 520__ $$aThe Second International Conference on Innovations in Computing Research (ICR⁰́b923) brings together a diverse group of researchers from all over the world with the intent of fostering collaboration and dissemination of the innovations in computing technologies. The conference is aptly segmented into six tracks: Data Science, Computer and Network Security, Health Informatics and Medical Imaging, Computer Science and Computer Engineering Education, Internet of Things, and Smart Cities/Smart Energy. These tracks aim to promote a birds-of-the-same-feather congregation and maximize participation. The Data Science track covers a wide range of topics including complexity score for missing data, deep learning and fake news, cyberbullying and hate speech, surface area estimation, analysis of gambling data, car accidents predication model, augmenting character designers⁰́b9 creativity, deep learning for road safety, effect of sleep disturbances on the quality of sleep, deep learning-based path-planning, vehicle data collection and analysis, predicting future stocks prices, and trading robot for foreign exchange. Computer and Network Security track is dedicated to various areas of cybersecurity. Among these are decentralized solution for secure management of IoT access rights, multi-factor authentication as a service (MFAaaS) for federated cloud environments, user attitude toward personal data privacy and data privacy economy, host IP obfuscation and performance analysis, and vehicle OBD-II port countermeasures. The Computer Science and Engineering Education track enfolds various educational areas, such as data management in industry⁰́b3academia joint research: a perspective of conflicts and coordination in Japan, security culture and security education, training and awareness (SETA), influencing information security management, engaging undergraduate students in developing graphical user interfaces for NSF funded research project, and emotional intelligence of computer science teachers in higher education. On the Internet of Things (IoT) track, the focus is on industrial air quality sensor visual analytics, social spider optimization meta-heuristic for node localization optimization in wireless sensor networks, and privacy aware IoT-based fall detection with infrared sensors and deep learning. The Smart Cities and Smart Energy track spans various areas, which include, among others, research topics on heterogeneous transfer learning in structural health monitoring for high-rise structures and energy routing in energy Internet using the firefly algorithm. 001469870 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed June 21, 2023). 001469870 650_0 $$aComputer science$$xResearch$$vCongresses. 001469870 655_0 $$aElectronic books. 001469870 655_7 $$aConference papers and proceedings.$$2fast$$0(OCoLC)fst01423772 001469870 655_7 $$aConference papers and proceedings.$$2lcgft 001469870 7001_ $$aDaimi, Kevin,$$eeditor. 001469870 7001_ $$aAl Sadoon, Abeer,$$eeditor. 001469870 77608 $$iPrint version: $$z3031353072$$z9783031353079$$w(OCoLC)1380382093 001469870 830_0 $$aLecture notes in networks and systems ;$$v721.$$x2367-3389 001469870 852__ $$bebk 001469870 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-35308-6$$zOnline Access$$91397441.1 001469870 909CO $$ooai:library.usi.edu:1469870$$pGLOBAL_SET 001469870 980__ $$aBIB 001469870 980__ $$aEBOOK 001469870 982__ $$aEbook 001469870 983__ $$aOnline 001469870 994__ $$a92$$bISE