Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Omar Lasassmeh"'
Publikováno v:
Wireless Networks. 27:2337-2346
As for the low-cost and accuracy benefits of integrating Artificial Intelligence (AI) technologies in smartphones, the embedded smart sensors have been utilized in indoor localization and distance estimation applications rather than the requirement o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a5180d146a24c5a84be9dbb6e101872
https://doi.org/10.1007/s11276-021-02588-0
https://doi.org/10.1007/s11276-021-02588-0
Publikováno v:
Indian Journal of Science and Technology. 14:325-334
Objectives: To enhance the performance of HR’s staffing function by providing an intelligent framework that allows convenient assessment and selection procedures. Methods: We proposed a new approach that mainly uses Data Mining (DM) and Machine Lea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98b90f03700c102f7dd41b4f83b0ef89
https://doi.org/10.17485/ijst/v14i4.2154
https://doi.org/10.17485/ijst/v14i4.2154
Publikováno v:
Indian Journal of Science and Technology. 14:119-130
Background/Objectives: Teachers’ performance is a key bridge to ensure successful pedagogical and educational objectives. However, the evaluation of teachers’ performance has been used to be a manual and temperamental task for school principals.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f3ffe49266e7b24ee92298cd4f92ef3
https://doi.org/10.17485/ijst/v14i2.2149
https://doi.org/10.17485/ijst/v14i2.2149
Autor:
Mahmoud Bashir Alhasanat, Hamzeh Eyal Salman, Omar Lasassmeh, Ahmad B. A. Hassanat, Ahmad S. Tarawneh, V. B. Surya Prasath, Haneen Arafat Abu Alfeilat
Publikováno v:
Big data. 7(4)
The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers, yet its performance competes with the most complex classifiers in the literature. The core of this classifier depends mainly on measuring the distance or simi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff2b2d2512ba061ea3ac53454d2a8946
https://pubmed.ncbi.nlm.nih.gov/31411491
https://pubmed.ncbi.nlm.nih.gov/31411491
Publikováno v:
Web of Science
This study provides a new Crowdsourcing-based approach to identify the most crowded places in an indoor environment. The Crowdsourcing Indoor Localization system (CSI) has been one of the most used techniques in location-based applications. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a95fb40e867c4b1b6ba6a643bc2dea1f
https://doi.org/10.14569/ijacsa.2019.0100467
https://doi.org/10.14569/ijacsa.2019.0100467
Publikováno v:
International Journal of Academic Research in Business and Social Sciences. 4:227-249
A surprising number of everyday problems are difficult to solve by traditional algorithm. A problem may qualify as difficult for a number of different reasons; for example, the data may be too noisy or irregular, the problem may be difficult to model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dba390b9d5b7317d52aa1e615eb7406f
http://hrmars.com/hrmars_papers/Shared_Crossover_Method_for_Solving_Knapsack_Problems.pdf
http://hrmars.com/hrmars_papers/Shared_Crossover_Method_for_Solving_Knapsack_Problems.pdf