Zobrazeno 1 - 10
of 57
pro vyhledávání: '"Nikola S. Nikolov"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-20 (2024)
Abstract Within the Hadoop ecosystem, MapReduce stands as a cornerstone for managing, processing, and mining large-scale datasets. Yet, the absence of efficient solutions for precise estimation of job execution times poses a persistent challenge, imp
Externí odkaz:
https://doaj.org/article/a83f2a1fa96143278bcaacc701de996f
Autor:
Soukaina Rhazzafe, Fabio Caraffini, Simon Colreavy-Donnelly, Younes Dhassi, Stefan Kuhn, Nikola S. Nikolov
Publikováno v:
Applied Sciences, Vol 14, Iss 13, p 5809 (2024)
Electronic health records (EHRs) are a critical tool in healthcare and capture a wide array of patient information that can inform clinical decision-making. However, the sheer volume and complexity of EHR data present challenges for healthcare provid
Externí odkaz:
https://doaj.org/article/2279a6ba167043b5b89d5a9f16bcd9c2
Publikováno v:
Intelligent Systems with Applications, Vol 21, Iss , Pp 200324- (2024)
In autonomous driving systems, object detection plays a pivotal role by facilitating their ability to perceive the surrounding road environment effectively. Object detection's foremost challenge pertains to its real-time operational capabilities. Ach
Externí odkaz:
https://doaj.org/article/f9e1011c1ebd41fc90792e86f2e11982
Autor:
Mehdi Yekrangi, Nikola S. Nikolov
Publikováno v:
IEEE Access, Vol 11, Pp 70248-70262 (2023)
Although different studies are caried out by deep learning models for financial markets sentiment analysis, there is a lack of specific embedding method that regards the domain. Therefore, the goal of this study is to discover what type of embedding
Externí odkaz:
https://doaj.org/article/01558a9acac24bcda1a89f8bf1ff3b2f
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-29 (2021)
Abstract This paper presents a comprehensive evaluation of data pre-processing and word embedding techniques in the context of Arabic document classification in the domain of health-related communication on social media. We evaluate 26 text pre-proce
Externí odkaz:
https://doaj.org/article/0362e3ecff634715b79470bfc7804feb
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-26 (2021)
Abstract In the era of global-scale services, organisations produce huge volumes of data, often distributed across multiple data centres, separated by vast geographical distances. While cluster computing applications, such as MapReduce and Spark, hav
Externí odkaz:
https://doaj.org/article/4b9e684bd9924ae39923e3b22b73fef0
Publikováno v:
Journal of Big Data, Vol 8, Iss 1, Pp 1-22 (2021)
Abstract The Dimensionality Curse is one of the most critical issues that are hindering faster evolution in several fields broadly, and in bioinformatics distinctively. To counter this curse, a conglomerate solution is needed. Among the renowned tech
Externí odkaz:
https://doaj.org/article/62aff65c3882444aab9230d767205706
Publikováno v:
IEEE Access, Vol 9, Pp 65266-65276 (2021)
Matrix Factorization (MF) is one of the most successful Collaborative Filtering (CF) techniques used in recommender systems due to its effectiveness and ability to deal with very large user-item rating matrix. However, when the rating matrix sparsene
Externí odkaz:
https://doaj.org/article/41f5ebb7e1a74ebb91442ffbb30c6b2b
Publikováno v:
Journal of Big Data, Vol 6, Iss 1, Pp 1-24 (2019)
Abstract In the era of accelerating growth of genomic data, feature-selection techniques are believed to become a game changer that can help substantially reduce the complexity of the data, thus making it easier to analyze and translate it into usefu
Externí odkaz:
https://doaj.org/article/d19a93d6974d4a53a92efab2bad8fd23
Publikováno v:
Lecture Notes on Data Engineering and Communications Technologies ISBN: 9783031277610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::21f606fa88336a3f5a5dbf83ff9895c9
https://doi.org/10.1007/978-3-031-27762-7_40
https://doi.org/10.1007/978-3-031-27762-7_40
