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Genetic Feature Construction Genetic Feature Construction: a parallel implementation of a genetic programming tool for feature construction

open access: yesEuropean Journal of Engineering Research and Science, 2019
In this paper a parallel implementation of a recently introduced method for feature construction is described. This technique utilizes parallel genetic algorithms along with RBF neural networks to create new features from the original ones by discovering the hidden relations between patterns.
Ioannis G Tsoulos   +2 more
openaire   +1 more source

AliAmvra—Enhancing Customer Experience through the Application of Machine Learning Techniques for Survey Data Assessment and Analysis

open access: yesInformation
AliAmvra is a project developed to explore and promote high-quality catches of the Amvrakikos Gulf (GP) to Artas’ wider regions. In addition, this project aimed to implement an integrated plan of action to form a business identity with high added value ...
Dimitris Mpouziotas   +3 more
doaj   +1 more source

A Feature Engineering Framework for Smart Meter Group Failure Rate Prediction

open access: yesMathematics
Smart meters play a significant role in power systems, but their condition assessment faces challenges such as inconsistent evaluation criteria and inaccurate assessment results.
Yihong Li   +3 more
doaj   +1 more source

AI-Based Performance Classification of Multi-Level System-of-Systems via Hypergraph Modeling

open access: yesIEEE Access
Accurately classifying the performance of System-of-Systems (SoS) is crucial for maintaining system reliability and resilience. Without clear classifications, engineers may struggle to assess the severity of malfunctions and implement timely corrective ...
Jun Jiang   +4 more
doaj   +1 more source

Construction of Complex Features for Computational Predicting ncRNA-Protein Interaction

open access: yesFrontiers in Genetics, 2019
Non-coding RNA (ncRNA) plays important roles in many critical regulation processes. Many ncRNAs perform their regulatory functions by the form of RNA-protein complexes.
Qiguo Dai   +5 more
doaj   +1 more source

A Novel Data Analytics Method for Predicting the Delivery Speed of Software Enhancement Projects

open access: yesMathematics, 2020
A fundamental issue of the software engineering economics is productivity. In this regard, one measure of software productivity is delivery speed. Software productivity prediction is useful to determine corrective activities, as well as to identify ...
Elías Ventura-Molina   +3 more
doaj   +1 more source

A New Road Extraction Method from Satellite Images Using Genetic Programming

open access: yesGuidance, Navigation and Control
Extracting roads from satellite images is an important task in the field of computer vision with a wide range of applications. However, efficient road extraction from satellite images remains a complex challenge due to issues such as data labeling and ...
Jing Liang   +5 more
doaj   +1 more source

Applications of Feature Matrix Construction Method in Fault Diagnoise of High-speed Train [PDF]

open access: yesJisuanji gongcheng, 2017
The Two-dimensional Feature Fusion(2DFF) method based on two-dimensional feature matrix,i.e.,two-dimensional principal component analysis can the goal of feature fusion by decreasing the dimensions of the feature matrix,but it performs well got only when
ZHAO Yingying,TAN Xianhai
doaj   +1 more source

Feature-Based Deep Learning Classification for Pipeline Component Extraction from 3D Point Clouds

open access: yesBuildings, 2022
This paper proposes a novel method for construction component classification by designing a feature-based deep learning network to tackle the automation problem in construction digitization.
Zhao Xu, Rui Kang, Heng Li
doaj   +1 more source

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall   +2 more
wiley   +1 more source

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