Results 21 to 30 of about 3,868,631 (298)

Automated feature selection procedure for particle jet classification

Nuclear Physics B, 2023
The high dimensionality of the data produced in high-energy physics experiments makes the use of machine learning algorithms, such as neural networks, necessary to improve the performance of reconstruction and classification of the analyzed events ...
Andrea Di Luca, Marco Cristoforetti, Francesco Maria Follega, Roberto Iuppa, Daniela Mascione   +4 more
doaj   +1 more source

Intraoperative optical coherence tomography-guided donor corneal tissue assessment and preparation

Indian Journal of Ophthalmology, 2022
Purpose: To evaluate the role of intraoperative optical coherence tomography (i-OCT) in donor grading, selection, and preparation during different types of keratoplasty.
Rinky Agarwal, Chetan Shakarwal, Namrata Sharma, Jeewan Singh Titiyal   +3 more
doaj   +1 more source

A2BCF: An Automated ABC-Based Feature Selection Algorithm for Classification Models in an Education Application

Applied Sciences, 2022
Feature selection is an essential step of preprocessing in Machine Learning (ML) algorithms that can significantly impact the performance of ML models. It is considered one of the most crucial phases of automated ML (AutoML).
Leila Zahedi, Farid Ghareh Mohammadi, Mohammad Hadi Amini   +2 more
doaj   +1 more source

Benchmarking feature selection methods for compressing image information in high-content screening

SLAS Technology, 2022
Biopharmaceutical drug discovery, as of today is a highly automated, high throughput endeavor, where many screening technologies produce a high-dimensional measurement per sample.
Daniel Siegismund, Matthias Fassler, Stephan Heyse, Stephan Steigele   +3 more
doaj   +1 more source

An evaluation of automated GPD threshold selection methods for hydrological extremes across different scales [PDF]

, 2020
This study investigated core components of an extreme value methodology for the estimation of high-flow frequencies from agricultural surface water run-off.
Milne, A., Atkinson, P. M., Wu, Lianhai, Curceac, Stelian, Harris, P., Milne, A. E., Atkinson, Peter M., Harris, Paul, Atkinson, P.M., Wu, L., Curceac, S., Milne, Alice   +11 more
core   +1 more source

Getting the Right Clones in an Automated Manner: An Alternative to Sophisticated Colony-Picking Robotics

Bioengineering
In recent years, the design–build–test–learn (DBTL) cycle has become a key concept in strain engineering. Modern biofoundries enable automated DBTL cycling using robotic devices.
Lorena Hägele, Brian F. Pfleger, Ralf Takors   +2 more
doaj   +1 more source

Smaller is better: nanobodies meet NMR

FEBS Letters, EarlyView.
Nanobodies are single‐domain antigen‐binding fragments derived from camelid heavy chain antibodies. Their small size, high stability, and exceptional specificity make nanobodies uniquely useful probes for NMR studies of protein dynamics, transient conformational states, and protein–protein interactions.
Oleg Y. Dmitriev
wiley   +1 more source

Feature selection tree for automated machinery fault diagnosis

MATEC Web of Conferences, 2019
Intelligent machinery fault diagnosis commonly utilises statistical features of sensor signals as the inputs for its machine learning algorithm. Due to the abundance of statistical features that can be extracted from raw signals and the accuracy of ...
Kar Hoou Hui, Ching Sheng Ooi, Meng Hee Lim, Mohd Salman Leong   +3 more
doaj   +1 more source

Comparison of new multi-criteria decision making methods for material handling equipment selection [PDF]

Management Science Letters, 2018
Conveyors and automated guided vehicles (AGVs) are important mechanical handling equipment used to transport loads from one place to another. Selection of proper material handling equipment is an intricate process.
Manoj Mathew, Sagar Sahu
doaj   +1 more source

Toward a Multi-Criteria Framework for Selecting Software Testing Tools

IEEE Access, 2021
Software testing is a vital part of software engineering process. Automated testing makes this process more accurate and more efficient. For automated testing, many different testing tools were introduced.
Asma J. Abdulwareth, Asma A. Al-Shargabi
doaj   +1 more source