Zobrazeno 1 - 10
of 301
pro vyhledávání: '"Borko Furht"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-44 (2024)
Abstract The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential aspect of this transformation involves monitoring driver behavio
Externí odkaz:
https://doaj.org/article/9de97d423e7d4be280850b0883ec8d1e
Autor:
Ruth Tappen, David Newman, Monica Rosselli, Jinwoo Jang, Borko Furht, KwangSoo Yang, Seyedeh Gol Ara Ghoreishi, Jiannan Zhai, Joshua Conniff, Muhammad Tanveer Jan, Sonia Moshfeghi, Somi Panday, Kelley Jackson, Marie Adonis-Rizzo
Publikováno v:
BMC Geriatrics, Vol 23, Iss 1, Pp 1-13 (2023)
Abstract Background Driving is a complex behavior that may be affected by early changes in the cognition of older individuals. Early changes in driving behavior may include driving more slowly, making fewer and shorter trips, and errors related to in
Externí odkaz:
https://doaj.org/article/fdade5a15322490bae5f0ab07eef283d
Autor:
Zoran Babović, Branislav Bajat, Dusan Barac, Vesna Bengin, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Stephan French, Borko Furht, Marija Ilić, Ayhan Irfanoglu, Aleksandar Kartelj, Milan Kilibarda, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar, Miloš Kovačević, Vladan Kuzmanović, Jean-Marie Lehn, Dejan Madić, Marko Marinković, Miodrag Mateljević, Avi Mendelson, Fedor Mesinger, Gradimir Milovanović, Veljko Milutinović, Nenad Mitić, Aleksandar Nešković, Nataša Nešković, Boško Nikolić, Konstantin Novoselov, Arun Prakash, Jelica Protić, Ivan Ratković, Diego Rios, Dan Shechtman, Zoran Stojadinović, Andrey Ustyuzhanin, Stan Zak
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-25 (2023)
Abstract This article describes a teaching strategy that synergizes computing and management, aimed at the running of complex projects in industry and academia, in the areas of civil engineering, physics, geosciences, and a number of other related fi
Externí odkaz:
https://doaj.org/article/07923dc0e30449e3b7f3575e73f2bb11
Autor:
Zoran Babović, Branislav Bajat, Vladan Đokić, Filip Đorđević, Dražen Drašković, Nenad Filipović, Borko Furht, Nikola Gačić, Igor Ikodinović, Marija Ilić, Ayhan Irfanoglu, Branislav Jelenković, Aleksandar Kartelj, Gerhard Klimeck, Nenad Korolija, Miloš Kotlar, Miloš Kovačević, Vladan Kuzmanović, Marko Marinković, Slobodan Marković, Avi Mendelson, Veljko Milutinović, Aleksandar Nešković, Nataša Nešković, Nenad Mitić, Boško Nikolić, Konstantin Novoselov, Arun Prakash, Ivan Ratković, Zoran Stojadinović, Andrey Ustyuzhanin, Stan Zak
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-21 (2023)
Abstract This article presents a taxonomy and represents a repository of open problems in computing for numerically and logically intensive problems in a number of disciplines that have to synergize for the best performance of simulation-based feasib
Externí odkaz:
https://doaj.org/article/5fc429a2f6b24396bfb370e39e6046ff
Publikováno v:
Journal of Big Data, Vol 10, Iss 1, Pp 1-28 (2023)
Abstract The success of the business directly contributes towards the growth of the nation. Hence it is important to evaluate and predict whether the business will be successful or not. In this study, we use the company’s dataset which contains inf
Externí odkaz:
https://doaj.org/article/96bb77dd93ad41f3a69c78228e66c451
Autor:
Murtadha D. Hssayeni, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw, Borko Furht, Behnaz Ghoraani
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-16 (2021)
Abstract The early detection of the coronavirus disease 2019 (COVID-19) outbreak is important to save people’s lives and restart the economy quickly and safely. People’s social behavior, reflected in their mobility data, plays a major role in spr
Externí odkaz:
https://doaj.org/article/9732286aab0f4a76be77312a31a8f995
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-34 (2021)
Abstract Natural Language Processing (NLP) is one of the most captivating applications of Deep Learning. In this survey, we consider how the Data Augmentation training strategy can aid in its development. We begin with the major motifs of Data Augmen
Externí odkaz:
https://doaj.org/article/797a271024d345ae951759374b9042e2
Autor:
Flavio Villanustre, Arjuna Chala, Roger Dev, Lili Xu, Jesse Shaw LexisNexis, Borko Furht, Taghi Khoshgoftaar
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-24 (2021)
Abstract This project is funded by the US National Science Foundation (NSF) through their NSF RAPID program under the title “Modeling Corona Spread Using Big Data Analytics.” The project is a joint effort between the Department of Computer & Elec
Externí odkaz:
https://doaj.org/article/e1377e9010cc4cc4bc738608ea59f001
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-54 (2021)
Abstract This survey explores how Deep Learning has battled the COVID-19 pandemic and provides directions for future research on COVID-19. We cover Deep Learning applications in Natural Language Processing, Computer Vision, Life Sciences, and Epidemi
Externí odkaz:
https://doaj.org/article/d4a02804c5ad4d3dbd22238da4508cdb
Publikováno v:
Journal of Big Data, Vol 7, Iss 1, Pp 1-41 (2020)
Abstract A modern urban infrastructure no longer operates in isolation, but instead, leverages the latest technologies to collect, process, and distribute aggregated knowledge in order to improve the quality of the provided services and promote the e
Externí odkaz:
https://doaj.org/article/57137e475e9e48e6911f95854bfe75e8