Feature engineering - Open Access .click

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Web-based graphical user interface for automated materials feature engineering for machine learning

Science and Technology of Advanced Materials: Methods
Designing descriptors for materials and catalysts within machine learning is a complex process. In particular, material compositions can be represented using information from the periodic table. Additionally, feature engineering and feature selection add
Yoshiki Hasukawa +5 more
doaj +1 more source

Toward compound fault diagnosis via EMAGAN and large kernel augmented few-shot learning

Frontiers in Mechanical Engineering
Bearings are essential in machinery. Damage to them can cause financial losses and safety risks at industrial sites. Therefore, it is necessary to design an accurate diagnostic model.
Wenchang Xu +5 more
doaj +1 more source

Analysis of Vocal Disorders in a Feature Space

, 2000
This paper provides a way to classify vocal disorders for clinical applications. This goal is achieved by means of geometric signal separation in a feature space.
Hegger, Rainer +3 more
core

Feature-based detection of breast cancer using convolutional neural network and feature engineering

Scientific Reports
Breast cancer (BC) is a prominent cause of female mortality on a global scale. Recently, there has been growing interest in utilizing blood and tissue-based biomarkers to detect and diagnose BC, as this method offers a non-invasive approach.
Hiba Allah Essa, Ebrahim Ismaiel, Mhd Firas Al Hinnawi +2 more
doaj +1 more source

Predictive Modeling of Earthquakes in Los Angeles With Machine Learning and Neural Networks

IEEE Access
Earthquakes pose a significant threat to urban areas, necessitating accurate forecasting models to mitigate their impact. This study focuses on earthquake forecasting in Los Angeles, a region with high seismic activity and limited research.
Cemil Emre Yavas +3 more
doaj +1 more source

Gear Degradation Study Using Statistical Time Features and Shallow Neural Networks

IEEE Access
Gears are widely recognized as crucial components for power connections and transmission owing to their substantial loading capacity, transmission efficiency, and consistent power output.
Shahil Kumar +4 more
doaj +1 more source

Short-Term Water Demand Forecasting Using Machine Learning Approaches in a Case Study of a Water Distribution Network Located in Italy

Engineering Proceedings
Machine learning’s application in short-term water demand forecasting remains a pivotal area of research in water distribution system studies. This investigation reveals a distinctive distribution pattern for the daily demand following dataset ...
Qidong Que +7 more
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A knowledge‐based materials descriptor for compositional dependence of phase transformation in NiTi shape memory alloys

Materials Genome Engineering Advances
This study presents ∆τ, a novel descriptor that captures the compositional dependence of phase transformation temperature (Ap) in NiTi‐based shape memory alloys (SMAs).
Cheng Li, Qingkai Liang, Yumei Zhou, Dezhen Xue +3 more
doaj +1 more source

FiSC: A Novel Approach for Fitzpatrick Scale-Based Skin Analyzer’s Image Classification

IEEE Access
The Fitzpatrick scale is a widely used tool in dermatology for categorizing skin types based on melanin levels and sensitivity to ultraviolet light. The primary objective of this study is to enhance the accuracy of Fitzpatrick scale classification by ...
Guillermo Crocker Garcia +5 more
doaj +1 more source

Feature-Based Normality Models for Anomaly Detection

Sensors
Detecting previously unseen anomalies in sensor data is a challenging problem for artificial intelligence when sensor-specific and deployment-specific characteristics of the time series need to be learned from a short calibration period.
Hui Yie Teh +2 more
doaj +1 more source

machine learning
deep learning
classification

feature selection