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sensitive machine learning 10.21203/RS.3.RS-149042/V1

Here we used experimental perturbations combined with sensitive machine learning tools that infer the distribution of histone marks using maps of nascent transcription.

sensitive machine learning 10.1016/J.INS.2021.05.049

Feature Selection (FS) is an essential preprocessing stage in data analytics and has been widely used in security-sensitive machine learning applications; however, FS research in adversarial machine learning has been largely overlooked.

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10.1016/j.biomaterials.2019.01.010

The external physical cues perceived by cells are transduced intracellularly along the mechanosensitive machineries, including subcellular adhesion molecules and cytoskeletons.

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10.21608/jssae.2019.62228

Extrusion as new technology in aquatic feed producing need to understanding the extruder advantage and parameters effect because extruder is sensitive machine ,the production and quality clearly depend on many physical and mechanical parameters, the most affecting physical factor is the feed formulation and the most affecting mechanical factors is the extruder shear properties screw profile (high or low shear) and extruder zones temperature specialist die zone temperature all this factors judging the extruder performance and product quality.

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10.1074/jbc.RA119.011187

A key component of the volume-sensitive machinery, the transient receptor potential vanilloid 4 (TRPV4) ion channel, may represent a sensor and transducer of cell swelling, but the molecular link between the swelling and TRPV4 activation is unresolved.

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Sensitive Machine

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Dec 10, 2023

What is/are Sensitive Machine?

Sensitive Machine - The external physical cues perceived by cells are transduced intracellularly along the mechanosensitive machineries, including subcellular adhesion molecules and cytoskeletons. ^[1] Extrusion as new technology in aquatic feed producing need to understanding the extruder advantage and parameters effect because extruder is sensitive machine ,the production and quality clearly depend on many physical and mechanical parameters, the most affecting physical factor is the feed formulation and the most affecting mechanical factors is the extruder shear properties screw profile (high or low shear) and extruder zones temperature specialist die zone temperature all this factors judging the extruder performance and product quality. ^[2] A key component of the volume-sensitive machinery, the transient receptor potential vanilloid 4 (TRPV4) ion channel, may represent a sensor and transducer of cell swelling, but the molecular link between the swelling and TRPV4 activation is unresolved. ^[3]

sensitive machine learning

Here we used experimental perturbations combined with sensitive machine learning tools that infer the distribution of histone marks using maps of nascent transcription. ^[1] Feature Selection (FS) is an essential preprocessing stage in data analytics and has been widely used in security-sensitive machine learning applications; however, FS research in adversarial machine learning has been largely overlooked. ^[2] Values personas for training data annotation expand the toolkit of methods for value-sensitive machine learning. ^[3] We present a cost-sensitive machine learning classification for mass tuberculosis screening. ^[4] Moreover, we compared the performance of our proposed version of CDE with the performance of five cost-sensitive machine learning algorithms. ^[5] To tackle the detection problem, we introduce a concept drift sensitive machine learning training approach that was able to improve our baseline methods by 18% in detection rates. ^[6]