Arturo Magana-Mora

According to our database, Arturo Magana-Mora authored at least 9 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Well Control Space Out: A Deep-Learning Approach for the Optimization of Drilling Safety Operations.

Arturo Magana-Mora, Michael Affleck, Mohamad Ibrahim, Greg Makowski, Hitesh Kapoor, William Contreras Otalvora, Musab A. Jamea, Isa S. Umairin, Guodong Zhan, Chinthaka P. Gooneratne

IEEE Access, 2021

Development of an In-Tank Tuning Fork Resonator for Automated Viscosity/Density Measurements of Drilling Fluids.

Miguel Gonzalez, Tim Thiel, Chinthaka P. Gooneratne, Robert Adams, Chris Powell, Arturo Magana-Mora, Jothibasu Ramasamy, Max Deffenbaugh

IEEE Access, 2021

Deep Learning and Time-Series Analysis for the Early Detection of Lost Circulation Incidents During Drilling Operations.

Mohammad Aljubran, Jothibasu Ramasamy, Mohammed Albassam, Arturo Magana-Mora

IEEE Access, 2021

2020

Camera-Based Edge Analytics for Drilling Optimization.

Chinthaka P. Gooneratne, Arturo Magana-Mora, Michael Affleck, William Contreras Otalvora, Guodong David Zhan, Timothy E. Moellendick

Proceedings of the 2020 IEEE International Conference on Edge Computing, 2020

2019

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

Manal Kalkatawi, Arturo Magana-Mora, Boris R. Jankovic, Vladimir B. Bajic

Bioinform., 2019

2018

HOCOMOCO: towards a complete collection of transcription factor binding models for human and mouse via large-scale ChIP-Seq analysis.

Ivan V. Kulakovskiy, Ilya E. Vorontsov, Ivan S. Yevshin, Ruslan N. Sharipov, Alla D. Fedorova, Eugene I. Rumynskiy, Yulia A. Medvedeva, Arturo Magana-Mora, Vladimir B. Bajic, Dmitri A. Papatsenko, Fedor A. Kolpakov, Vsevolod J. Makeev

Nucleic Acids Res., 2018

2017

Genetic Algorithms for Optimization of Machine-learning Models and their Applications in Bioinformatics.

Arturo Magana-Mora

PhD thesis, 2017

DANNP: an efficient artificial neural network pruning tool.

Mona Alshahrani, Othman Soufan, Arturo Magana-Mora, Vladimir B. Bajic

PeerJ Comput. Sci., 2017

2013

Dragon TIS Spotter: an Arabidopsis-derived predictor of translation initiation sites in plants.

Arturo Magana-Mora, Haitham Ashoor, Boris R. Jankovic, Allan Kamau, Karim Awara, Rajesh Chowdhary, John A. C. Archer, Vladimir B. Bajic

Bioinform., 2013