Applying machine learning approach in recycling

M Erkinay Ozdemir, Z Ali, B Subeshan… - Journal of Material …, 2021 - Springer
Waste generation has been increasing drastically based on the world's population and
economic growth. This has significantly affected human health, natural life, and ecology. The …

A review and experimental comparison of multivariate decision trees

L Cañete-Sifuentes, R Monroy… - IEEE Access, 2021 - ieeexplore.ieee.org
Decision trees are popular as stand-alone classifiers or as base learners in ensemble
classifiers. Mostly, this is due to decision trees having the advantage of being easy to …

Machine learning for detecting stuck pipe incidents: Data analytics and models evaluation

A Alshaikh, A Magana-Mora, SA Gharbi… - International petroleum …, 2019 - onepetro.org
The earlier a stuck pipe incident is predicted and mitigated, the higher the chance of success
in freeing the pipe or avoiding severe sticking in the first place. Time is crucial in such cases …

[HTML][HTML] Splice2Deep: An ensemble of deep convolutional neural networks for improved splice site prediction in genomic DNA

S Albaradei, A Magana-Mora, M Thafar, M Uludag… - Gene, 2020 - Elsevier
Background The accurate identification of the exon/intron boundaries is critical for the
correct annotation of genes with multiple exons. Donor and acceptor splice sites (SS) …

DeepGSR: an optimized deep-learning structure for the recognition of genomic signals and regions

M Kalkatawi, A Magana-Mora, B Jankovic… - …, 2019 - academic.oup.com
Motivation Recognition of different genomic signals and regions (GSRs) in DNA is crucial for
understanding genome organization, gene regulation, and gene function, which in turn …

[HTML][HTML] In vivo non-invasive staining-free visualization of dermal mast cells in healthy, allergy and mastocytosis humans using two-photon fluorescence lifetime …

M Kröger, J Scheffel, VV Nikolaev, EA Shirshin… - Scientific Reports, 2020 - nature.com
Mast cells (MCs) are multifunctional cells of the immune system and are found in skin and all
major tissues of the body. They contribute to the pathology of several diseases including …

Deep learning and time-series analysis for the early detection of lost circulation incidents during drilling operations

M Aljubran, J Ramasamy, M Albassam… - IEEE …, 2021 - ieeexplore.ieee.org
Drilling operations consist of breaking the rock to deepen a wellbore for oil or gas extraction.
A drilling fluid, circulating from the surface through the drill pipe and from the annulus to the …

[HTML][HTML] Selecting a representative decision tree from an ensemble of decision-tree models for fast big data classification

AI Weinberg, M Last - Journal of Big Data, 2019 - Springer
The goal of this paper is to reduce the classification (inference) complexity of tree ensembles
by choosing a single representative model out of ensemble of multiple decision-tree models …

[HTML][HTML] DPubChem: a web tool for QSAR modeling and high-throughput virtual screening

O Soufan, W Ba-Alawi, A Magana-Mora, M Essack… - Scientific reports, 2018 - nature.com
High-throughput screening (HTS) performs the experimental testing of a large number of
chemical compounds aiming to identify those active in the considered assay. Alternatively …

AccuPipePred: A framework for the accurate and early detection of stuck pipe for real-time drilling operations

A Magana-Mora, S Gharbi, A Alshaikh… - SPE Middle East Oil and …, 2019 - onepetro.org
Thorough preplanning and best drilling practices are effective in reducing stuck pipe
incidents, data analytics offer additional insight into further reducing the significant non …