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Showing 13789 results for "machine learning" · Peer-Reviewed
Computer Science Peer-Reviewed PDF DOI

Least Squares Generative Adversarial Networks-Based Anomaly Detection

Chang-Ki Lee, Yu-Jeong Cheon, Wook-Yeon Hwang · 2022

Multivariate statistical process control (MSPC) is a technique for detecting anomalies by monitoring several quality characteristics simultaneously. For the MSPC problem, the Hotelling’s T2 contro…

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AI & Data Science Peer-Reviewed PDF DOI

Comparative Study of Optimum Medical Diagnosis of Human Heart Disease Using Machine Learning Technique With and Without Sequential Feature Selection

Ghulab Nabi Ahmad, Shafi Ullah, Abdullah Algethami, Hira Fatima, Syed Md. Humayun Akhter · 2022

Predicting heart disease is regarded as one of the most difficult challenges in the health-care profession. To predict cardiac disease, researchers employed a variety of algorithms including LDA, RF, …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Lighting-and Personal Characteristic-Aware Markov Random Field Model for Facial Image Relighting System

Ching-Ting Tu, Hwei-Jen Lin, Chin-Yu Chang · 2022

A learning-based image relighting framework is proposed for automatically changing the lighting conditions of facial images from one lighting source to another. Given only a 2D unseen facial testing i…

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AI & Data Science Peer-Reviewed PDF DOI

Neural Network Approach to Program Synthesis for Tabular Transformation by Example

Yoshifumi Ujibashi, Atsuhiro Takasu · 2022

Data transformation is a laborious and time-consuming task for analysts. Programming by example (PBE) is a technique that can simplify this difficult task for data analysts by automatically generating…

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AI & Data Science Peer-Reviewed PDF DOI

Building Energy Management With Reinforcement Learning and Model Predictive Control: A Survey

Huiliang Zhang, Sayani Seal, Di Wu, Francois Bouffard, Benoit Boulet · 2022

Building energy management has been recognized as of significant importance on improving the overall system efficiency and reducing the greenhouse gas emission. However, the building energy management…

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AI & Data Science Peer-Reviewed PDF DOI

An Accurate Matching Query Method of Natural Language Knowledge Graph Based on Hierarchical Graph Topological Sequence

Qifeng Zou, Chaoze Lu · 2022

In recent years, although the application of knowledge graph in natural language processing has made some progress, there are still some key problems to be solved, especially the matching query proble…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

PersianQuAD: The Native Question Answering Dataset for the Persian Language

Arefeh Kazemi, Jamshid Mozafari, Mohammad Ali Nematbakhsh · 2022

Developing Question Answering systems (QA) is one of the main goals in Artificial Intelligence. With the advent of Deep Learning (DL) techniques, QA systems have witnessed significant advances. Althou…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Learning Depth Estimation From Memory Infusing Monocular Cues: A Generalization Prediction Approach

Yakun Zhou, Jinting Luo, Musen Hu, Tingyong Wu, Jinkuan Zhu, Xingzhong Xiong, Jienan Chen · 2022

Depth estimation from a single image is a challenging task, yet this field has a promising prospect in automatic driving and augmented reality. However, the prediction accuracy is degraded significant…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Stator Current Spectral Content of Inverter-Fed Cage Rotor Induction Motor

Gojko Joksimovic, Peter Zajec, Alberto Tessarolo, Vanja Ambrozic, Andraz Rihar · 2022

The paper analyzes the influence of the number of rotor bars on the stator current spectral content in a three-phase cage induction motor fed by a pulse-width modulated (PWM) inverter. It is shown tha…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

LinRegDroid: Detection of Android Malware Using Multiple Linear Regression Models-Based Classifiers

Durmus Ozkan Sahin, Sedat Akleylek, Erdal Kilic · 2022

In this study, a framework for Android malware detection based on permissions is presented. This framework uses multiple linear regression methods. Application permissions, which are one of the most c…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

SATSal: A Multi-Level Self-Attention Based Architecture for Visual Saliency Prediction

Marouane Tliba, Mohamed A. Kerkouri, Bashir Ghariba, Aladine Chetouani, Arzu Coltekin, Mohamed Sami Shehata, Alessandro Bruno · 2022

Human visual Attention modelling is a persistent interdisciplinary research challenge, gaining new interest in recent years mainly due to the latest developments in deep learning. That is particularly…

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Engineering Peer-Reviewed PDF DOI

Permanent Magnet Vernier Machines for Direct-Drive Offshore Wind Power: Benefits and Challenges

Dileep Kumar Kana Padinharu, Guang-Jin Li, Zi-Qiang Zhu, Richard Clark, Arwyn Thomas, Ziad Azar, Alexander Duke · 2022

Permanent magnet Vernier (PM-V) machines, at low power levels (few kWs), have shown a great potential to improve the torque density of existing direct-drive PM machines without much compromising on ef…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Soft Label With Channel Encoding for Dependent Facial Image Classification

Bing-Fei Wu, Yi-Chiao Wu, Li-Wen Chiu, Hsuan-Po Liu · 2022

In classification tasks, training labels are usually specified as one-hot targets which represent each class equally and exclusively. However, this labeling rule is not suitable in some situations. Fo…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Transverse Flux Machine—A Review

Benedikt Kaiser, Nejila Parspour · 2022

For applications with high torque demand, gearboxes are commonly used to convert torque and speed in order to receive higher specific values for torque and power. This causes additional losses, cost, …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Sub-6 GHz Highly Isolated Wideband MIMO Antenna Arrays

Amany A. Megahed, Mohamed Abdelazim, Ehab H. Abdelhay, Heba Y. M. Soliman · 2022

This study proposes a compact four-port multiple-input multiple-output (MIMO) antenna system to operate within a frequency range of 3.2–5.75 GHz to serve in 5G new radio (NR) sub-6 GHz n77/n78/n79 and…

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AI & Data Science Peer-Reviewed PDF DOI

Occlusion Handling and Multi-Scale Pedestrian Detection Based on Deep Learning: A Review

Fang Li, Xueyuan Li, Qi Liu, Zirui Li · 2022

Pedestrian detection is an important branch of computer vision, and has important applications in the fields of autonomous driving, artificial intelligence and video surveillance. With the rapid devel…

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AI & Data Science Peer-Reviewed PDF DOI

State-Dependent Parameter Tuning of the Apparent Tardiness Cost Dispatching Rule Using Deep Reinforcement Learning

Byungwook Min, Chang Ouk Kim · 2022

The apparent tardiness cost (ATC) is a dispatching rule that demonstrates excellent performance in minimizing the total weighted tardiness (TWT) in single-machine scheduling. The ATC rule’s performanc…

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Engineering Peer-Reviewed PDF DOI

Automated Prescreening of Mild Cognitive Impairment Using Shank-Mounted Inertial Sensors Based Gait Biomarkers

Ahsan Shahzad, Aresh Dadlani, Hyeonil Lee, Kiseon Kim · 2022

The mild symptoms in Mild Cognitive Impairment (MCI), a precursor of dementia, often go unnoticed and are assumed as normal aging signs. Such negligence result in late visits which consequently, lead …

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Multiscale Anisotropic Morphological Directional Derivatives for Noise-Robust Image Edge Detection

Xiaohang Yu, Xinyu Wang, Jie Liu, Rongrong Xie, Yunhong Li · 2022

Different types of noise interference lead to low accuracy of image edge detection and severe loss of feature extraction details. A new noise-robust edge detection method is proposed, which uses a set…

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Multidisciplinary & Other Peer-Reviewed PDF DOI

Exponential Loss Minimization for Learning Weighted Naive Bayes Classifiers

Taeheung Kim, Jong-Seok Lee · 2022

The naive Bayesian classification method has received significant attention in the field of supervised learning. This method has an unrealistic assumption in that it views all attributes as equally im…

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