A survey on missing data in machine learning
Abstract Machine learning has been the corner stone in analysing and extracting information
from data and often a problem of missing values is encountered. Missing values occur …
from data and often a problem of missing values is encountered. Missing values occur …
[HTML][HTML] A review of machine learning algorithms for identification and classification of non-functional requirements
M Binkhonain, L Zhao - Expert Systems with Applications: X, 2019 - Elsevier
Context Recent developments in requirements engineering (RE) methods have seen a
surge in using machine-learning (ML) algorithms to solve some difficult RE problems. One …
surge in using machine-learning (ML) algorithms to solve some difficult RE problems. One …
Machine learning-based prediction of air quality
YC Liang, Y Maimury, AHL Chen, JRC Juarez - applied sciences, 2020 - mdpi.com
Air, an essential natural resource, has been compromised in terms of quality by economic
activities. Considerable research has been devoted to predicting instances of poor air …
activities. Considerable research has been devoted to predicting instances of poor air …
A systematic review of applications of machine learning techniques for wildfire management decision support
Wildfires threaten and kill people, destroy urban and rural property, degrade air quality,
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …
ravage forest ecosystems, and contribute to global warming. Wildfire management decision …
Mengenal machine learning dengan teknik supervised dan unsupervised learning menggunakan python
E Retnoningsih, R Pramudita - Bina Insani Ict Journal, 2020 - 101.255.92.196
Machine learning merupakan sistem yang mampu belajar sendiri untuk memutuskan
sesuatu tanpa harus berulangkali diprogram oleh manusia sehingga komputer menjadi …
sesuatu tanpa harus berulangkali diprogram oleh manusia sehingga komputer menjadi …
SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan
Geological settings of the Karakoram Highway (KKH) increase the risk of natural disasters,
threatening its regular operations. Predicting landslides along the KKH is challenging due to …
threatening its regular operations. Predicting landslides along the KKH is challenging due to …
Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey
Y Meraihi, AB Gabis, S Mirjalili, A Ramdane-Cherif… - SN computer …, 2022 - Springer
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …
the whole world. The absence of treatment has motivated research in all fields to deal with it …
[PDF][PDF] Supervised learning-a systematic literature review
S Dridi - preprint, Dec, 2021 - files.osf.io
Machine Learning (ML) is a rapidly emerging field that enables a plethora of innovative
approaches to solving real-world problems. It enables machines to learn without human …
approaches to solving real-world problems. It enables machines to learn without human …
Revolutionizing future connectivity: A contemporary survey on AI-empowered satellite-based non-terrestrial networks in 6G
Non-Terrestrial Networks (NTN) are expected to be a critical component of 6th Generation
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
(6G) networks, providing ubiquitous, continuous, and scalable services. Satellites emerge as …
A computational intelligence approach for predicting medical insurance cost
CA ul Hassan, J Iqbal, S Hussain… - Mathematical …, 2021 - Wiley Online Library
In the domains of computational and applied mathematics, soft computing, fuzzy logic, and
machine learning (ML) are well‐known research areas. ML is one of the computational …
machine learning (ML) are well‐known research areas. ML is one of the computational …