Application of Digital Image Correlation (DIC) in resonance machines for measuring fatigue crack growth by P. Lorenzino, G. Beretta, A. Navarro

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DEVELOPMENT OF CASHEW NUT PROCESSING MACHINE by OYETUNJI ROPO, AKINFENWA AYOBAMI, ADEWUYI FESTUS

“…Cashew nuts were fed into the machine containing the heating and shelling chamber. …”
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The analysis of machine scheduling problem algorithm by Julius Simonavičius, Narimantas Listopadskis

“… The analysis of machine scheduling problem and possible algorithms for solving it are presented in this paper. …”
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The Ghost in the Machine: The Ethical Risks of AI by Emile Ormond

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Study and Design of Adaptively Sealing Machine by Fan Huaxian, Dong Penghao, Dong Wenqi, Hu Shengbang, Jiang Yichao

Subjects: “…Sealing machine…”
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The Grace Machine: Of Turns, Wheels and Limbs by Lars Spuybroek

“…The second part restructures the cycle as one of habit, linking our relationship with technology to gift exchange, while developing the central argument of grace as a machine. The final and third part expands the role of play and mimesis in the functioning of the grace machine while defining the gap between habit and inhabitation as a double gap, consisting of a temporal axis that leads from habit to the figure of grace, which again is suspended between object and field on the spatial axis.…”
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Sublemma-Based Neural Machine Translation by Thien Nguyen, Huu Nguyen, Phuoc Tran

“…In addition, automatic machine judgment on the experiment results is verified by human judgment. …”
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Machine learning for medical image classification by Gazi Husain, Jonathan Mayer, Molly Bekbolatova, Prince Vathappallil, Mihir Matalia, Milan Toma

“… This review article focuses on the application of machine learning (ML) algorithms in medical image classification. …”
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Stroke Prediction Based on Machine Learning by Zhang Yuhan

“…Stroke has become an important cause of death and disability worldwide, which highlights the need for early detection and intervention. Machine learning technology can analyze patients’ historical health data and biometrics to identify high-risk individuals in a timely manner, thereby effectively predicting stroke.This paper evaluates the predictive performance Random Forest and Support Vector Machine (SVM). …”
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Machine learning in the prediction of human wellbeing by Ekaterina Oparina, Caspar Kaiser, Niccolò Gentile, Alexandre Tkatchenko, Andrew E. Clark, Jan-Emmanuel De Neve, Conchita D’Ambrosio

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Generalized Quadratic Linearization of Machine Models by Parvathy Ayalur Krishnamoorthy, Kamaraj Vijayarajan, Devanathan Rajagopalan

“…The result is applicable to other machine models as well.…”
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MLHOps: Machine Learning Health Operations by Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloe Pou-Prom, Sedef Akinli-Kocak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

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The Human Body, a Machine of Grace by Marcia Urdang

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Application of probability theory in machine selection by Do Duc Trung, Manh Thi Diep, Duong Van Duc, Nguyen Chi Bao, Nguyen Hoai Son

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Survey on Lie Group Machine Learning by Mei Lu, Fanzhang Li

Subjects: “…lie group machine learning…”
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Design and Simulation of a Rowing Machine by Matovu Samson

“…The simulation results indicated that the proposed system/machine is safe under different loadings and the proposed machine will operate with good performance.…”
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Design of a Maize Sieving Machine. by Keshubi, Nice Alex

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Environmental Disinfection Based on Mobile Intelligent Networking Highly Efficient Ultraviolet Light Machines by Chun-Yen Chung, Wen-Tsai Sung, Lin-Chi Wang, Lailatus Siami, John Paul Santos

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