Smartphone-based indoor localization systems: A systematic literature review
These recent years have witnessed the importance of indoor localization and tracking as
people are spending more time indoors, which facilitates determining the location of an …
people are spending more time indoors, which facilitates determining the location of an …
[PDF][PDF] Machine learning approach for bottom 40 percent households (B40) poverty classification
Malaysia citizens are categorised into three different income groups which are the Top 20
Percent (T20), Middle 40 Percent (M40), and Bottom 40 Percent (B40). One of the focus …
Percent (T20), Middle 40 Percent (M40), and Bottom 40 Percent (B40). One of the focus …
[PDF][PDF] Redefining selection of features and classification algorithms for room occupancy detection
The exponential growth of todays technologies has resulted in the growth of high-throughput
data with respect to both dimensionality and sample size. Therefore, efficient and effective …
data with respect to both dimensionality and sample size. Therefore, efficient and effective …
Riau forest fire prediction using supervised machine learning
Forest fire is one of the environmental problems in terms of economically and ecologically
detrimental. The number hotspot of forest fires in Indonesia has become increasing …
detrimental. The number hotspot of forest fires in Indonesia has become increasing …
Machine learning techniques for analysis of Egyptian flight delay
SM Al-Tabbakh, H El-Zahed - Journal of Scientific Research in …, 2018 - journals.ekb.eg
Flight delay has been the fiendish problem to the world's aviation industry, so there is very
important significance to research for computer system predicting flight delay propagation …
important significance to research for computer system predicting flight delay propagation …
Assessing e-identity solutions according to Self-Sovereign Identity: application to eIDAS
Digital identity is an essential factor in economic growth for businesses and governments
cooperating to provide electronic identity to users. Promising approaches from academia …
cooperating to provide electronic identity to users. Promising approaches from academia …
Predicting career decisions among graduates of tafseer and hadith
The overall aim of the research was to identify influential factors that best predict career
decisions or job choice among graduates of the Department of Tafseer and Hadith at the …
decisions or job choice among graduates of the Department of Tafseer and Hadith at the …
Klasifikasi Kebakaran Hutan Riau Menggunakan Random Forest dan Visualisasi Citra Sentinel-2
A Efendi, I Iskandar, R Kurniawan… - KLIK: Kajian Ilmiah …, 2023 - djournals.com
Abstract In September 2019, Riau was severely affected by hazardous haze, impacting the
health of the population and disrupting the activities of approximately 6.5 million people …
health of the population and disrupting the activities of approximately 6.5 million people …
Text Classification on Islamic Jurisprudence using Machine Learning Techniques
K Jamal, R Kurniawan, AS Batubara… - Journal of Physics …, 2020 - iopscience.iop.org
Indonesia, which is the world's most populous Muslim-majority nation, Islamic education is
not an alternative to secular education but compulsory to any Muslims learn the way of life …
not an alternative to secular education but compulsory to any Muslims learn the way of life …
[PDF][PDF] Automatic rule generator via FP-Growth for eye diseases diagnosis
The conventional approach in developing a rule-based expert system usually applies a
tedious, lengthy and costly knowledge acquisition process. The acquisition process is …
tedious, lengthy and costly knowledge acquisition process. The acquisition process is …