Results 41 to 50 of about 5,454,633 (299)

Computational Intelligence in engineering practice [PDF]

Bulletin of the Polish Academy of Sciences: Technical Sciences, 2021
Stanislaw Osowski, Bartosz Sawicki, Andrzej Cichocki   +2 more
doaj   +1 more source

Improving Enzyme Fitness with Machine Learning

CHIMIA, 2023
The combinatorial composition of proteins has triggered the application of machine learning in enzyme engineering. By predicting how protein sequence encodes function, researchers aim to leverage machine learning models to select a reduced number of ...
David Patsch, Rebecca Buller
doaj   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

A Selective Survey Review of Computational Intelligence Applications in the Primary Subdomains of Civil Engineering Specializations

Applied Sciences, 2023
Artificial intelligence is the branch of computer science that attempts to model cognitive processes such as learning, adaptability and perception to generate intelligent behavior capable of solving complex problems with environmental adaptation and ...
Konstantinos Demertzis, Stavros Demertzis, Lazaros Iliadis   +2 more
doaj   +1 more source

Optimal Design for Metal Additive Manufacturing: An Integrated Computational Materials Engineering (ICME) Approach

JOM, 2020
We present our latest results on linking the process–structure–properties–performance (PSPP) chain for metal additive manufacturing (AM), using a multi-scale and multi-physics integrated computational materials engineering (ICME) approach.
S. Motaman, F. Kies, P. Köhnen, Maike Létang, Mingxuan Lin, A. Molotnikov, C. Haase   +6 more
semanticscholar   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

Enhanced Engineering Teaching Through Computational Fluid Dynamics Software

Publicaciones e Investigación, 2011
The chemical reaction engineering course, one of the cornerstones of chemical and even environmental engineering programs, has been taught through introductory courses that do not necessarily have into account non-ideal reactors concepts, which are the ...
Victor Fernando Marulanda Cardona
doaj   +1 more source

Advanced Mathematics and Computational Applications in Control Systems Engineering

Mathematical and Computational Applications, 2021
Control-systems engineering is a multidisciplinary subject that applies automatic-control theory to design systems with desired behaviors in control environments [...]
Francisco-Ronay López-Estrada, Guillermo Valencia-Palomo   +1 more
doaj   +1 more source

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

Molecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena, Karin Teien Lande, Eva Diaz, Ana Vilar, Juan Cueva, Efigenia Arias, Victoria Sampayo, Alicia Abalo, Nerea González, Eva Colás, Antonio Gil‐Moreno, Miguel Abal, Gema Moreno‐Bueno, Therese Sørlie, Kristina Lindemann, Laura Muinelo‐Romay   +15 more
wiley   +1 more source

Analysis of deep learning neural network combined with experiments to develop predictive models for a propane vertical jet fire

Heliyon, 2020
Fires are important responsible factors to cause catastrophic events in the process industries, whose consequences usually initiate domino effects. The artificial neural network has been shown to be one of the rapid methods to simulate processes in the ...
Hossein Mashhadimoslem, Ahad Ghaemi, Adriana Palacios   +2 more
doaj   +1 more source