Editorial: Smart biomedical signal analysis with machine intelligence by Tilendra Choudhary, Pulakesh Upadhyaya, Mohammad Zavid Parvez, Mohammad Zavid Parvez, Shaik Rafi Ahamed

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Machine Learning in Information and Communications Technology: A Survey by Elias Dritsas, Maria Trigka

Subjects: “…machine learning…”
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A novel machine learning approach for portfolio optimization by Saman Haratizadeh, Fatemeh Rezaee

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Machine learning in medicine: what clinicians should know by Jordan Zheng Ting Sim, Qi Wei Fong, Weimin Huang, Cher Heng Tan

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Recent Machine Learning Progress in Image Analysis and Understanding by Shengping Zhang, Huiyu Zhou, Lei Zhang

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Predicting Heart Diseases by Selective Machine Learning Algorithms by N. Umar, S. K. Hassan, A. Umar, S. S. Ahmed

“…Consequently, the objective of this paper was to predict heart diseases using selective machine learning algorithms.  The leverage technique was evaluated using the Cleveland heart disease dataset. …”
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Machine Learning Classifiers Based Classification For IRIS Recognition by Bahzad Taha Chicho, Adnan Mohsin Abdulazeez, Diyar Qader Zeebaree, Dilovan Assad Zebari

“…Classification is the most widely applied machine learning problem today, with implementations in face recognition, flower classification, clustering, and other fields. …”
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Reaction of Armature of Synchronous Machine with Tangentially Magnetized Magnets by V. I. Shafransky

“…The paper considers a magnetic field of synchronous machine armature which has an inductor with tangentially magnetized magnets. …”
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Machine learning for predicting earthquake magnitudes in the Central Himalaya by Ram Krishna Tiwari, Rudra Prasad Poudel, Harihar Paudyal

Subjects: “…Machine Learning…”
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Dynamic Characteristics of Air Cycle Machine Rotor System by Dongjiang Han, Long Hao, Jinfu Yang

“…Parameters optimization in the critical speed region has the important influence on operational stability of an air cycle machine. Effects of bearing stiffness and unbalanced exciting force on critical speed and response characteristics are investigated by the modal method and harmonic response analysis. …”
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Impact of Different Electrolytes on the Machining Rate in ECM Process by K. G. Saravanan, R. Prabu, A. R. Venkataramanan, Eden Tekle Beyessa

“…Electrochemical machining is a nonconventional machining process in which the metal removal is achieved by the electricity and chemical solution known as an electrolyte. …”
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Machine vision model for drip leakage detection of pipeline. by Cong Xiao, Yiyuan Zhou, Yanwen Wu, Guodong Zhang

“…In light of this, our study investigates a method for monitoring pipe drips in industrial equipment using machine vision technology. We propose a machine vision model specifically designed for pipe drip detection, aiming to facilitate monitoring of pipe system drips. …”
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Astronomaly Protege: Discovery through Human-machine Collaboration by Michelle Lochner, Lawrence Rudnick

“…Here we introduce ASTRONOMALY: PROTEGE, an extension of the general-purpose machine-learning-based active anomaly detection framework ASTRONOMALY. …”
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Prediction of earthquake by machine learning models and neural network by Xu Bohong

“…Earthquake prediction, in this article, is executed with a neural network and machine learning models. After reading many articles, the author discovered that not many articles use a fully connected neural network to predict earthquake magnitude. …”
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Comparison of Machine Learning Methods for the Arterial Hypertension Diagnostics by Vladimir S. Kublanov, Anton Yu. Dolganov, David Belo, Hugo Gamboa

“…The paper presents results of machine learning approach accuracy applied analysis of cardiac activity. …”
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Symmetry-invariant quantum machine learning force fields by Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

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Machine Learning Approaches for Developing Land Cover Mapping by Ali Alzahrani, Awos Kanan

“…However, it is well known in machine learning literature that some of the extracted features are irrelevant to the classification process with a negative or no effect on its accuracy. …”
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Machine Learning-Based Network Detection Research for SDNs by Lai Jiayue

“…This research endeavors to fortify the security posture of Software-Defined Networks (SDN) through the strategic utilization of intelligent machine learning techniques, with a primary focus on mitigating detrimental Denial of Service (DoS) attacks. …”
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A Novel Dual-Rotor Homopolar AC Machine by T. Ruekamnuaychok, J. Zhong, S. Sudhoff, R. Swanson, A. Sah, H. Singh, N. Aronhime, E. Schultz

Subjects: “…Electric machine…”
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The Use of Machine Learning to Support the Diagnosis of Oral Alterations by Rosana Leal do Prado, Juliane Avansini Marsicano, Amanda Keren Frois, Jacques Duílio Brancher

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