Are all rTMS machines equal? New research suggests there may be clinically significant differences by Will Novey

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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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Prediction of Soil Moisture-Holding Capacity with Support Vector Machines in Dry Subhumid Tropics by Jacob Kaingo, Siza D. Tumbo, Nganga I. Kihupi, Boniface P. Mbilinyi

“…This study explored the support vector machines method in the development of PTFs (SVR-PTFs) for dry subhumid tropics. …”
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Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier by Lean Yu

“…A least squares fuzzy support vector machine (LS-FSVM) model that integrates advantages of fuzzy support vector machine (FSVM) and least squares method is proposed for credit risk evaluation. …”
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REHABILITATION / MODERNIZATION WORKS RELATED TO M4b DEPOSIT COAL REMOVAL MACHINES by Alin STĂNCIOIU

“…The paper presents the study for the rehabilitation / modernization works related to the coal removal machine from the M4b depot being destined to unload the solid fuel depots, the technological role being to take the solid fuel from the stacks and to deposit it on a belt conveyor.…”
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Comparative Study of Dual-Rotor Permanent Magnet Machines with Series and Parallel Magnetic Circuits by Zhitong Ran, Zi-Qiang Zhu, Dawei Liang

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River Flow Estimation from Upstream Flow Records Using Support Vector Machines by Halil Karahan, Serdar Iplikci, Mutlu Yasar, Gurhan Gurarslan

“…A novel architecture for flood routing model has been proposed and its efficiency is validated on several problems by employing support vector machines. The architecture is designed by including the inputs and observed and calculated outflows from the previous time step output. …”
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CONTROL OVER «BRUSH-COMMUTATOR» SPARKING IN DC MACHINES USING OPTOELECTRONIC SPARKING ANALYZER by V. Zelinski

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Corrigendum to “Improved Combinatorial Benders Decomposition for a Scheduling Problem with Unrelated Parallel Machines” by Francisco Regis Abreu Gomes, Geraldo Robson Mateus

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Minds vs machines: A comparative study of AI and teacher-generated summaries in ELT by Osama Koraishi, Çiğdem Karatepe

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Semi-Online Scheduling on Two Machines with GoS Levels and Partial Information of Processing Time by Taibo Luo, Yinfeng Xu

“…This paper investigates semi-online scheduling problems on two parallel machines under a grade of service (GoS) provision subject to minimize the makespan. …”
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Les « tracteurs du président » au Tchad : machines agricoles ou instrument politique ? by Ronan Mugelé

“…It shows how the material and technical dimension of the machine is deeply linked to its immaterial and symbolic component, and how this articulation redefines its uses.…”
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Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines by Yankun Wang, Huiming Tang, Tao Wen, Junwei Ma

“…In this paper, under the framework of the original lower upper bound estimation method, a direct interval prediction approach is proposed for landslide displacements based on the least squares support vector machine (LSSVM) and differential search algorithms. …”
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Intelligent Fault Diagnosis of Machines Based on Adaptive Transfer Density Peaks Search Clustering by Meng Li, Yanxue Wang, Chuyuan Wei

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Design and Control of Hybrid Electric Light Rail Vehicles With Open Ended Winding Machines by Davide De Simone, Maria Stefania Carmeli, Salvatore D'Arco, Luigi Piegari, Pietro Tricoli

Subjects: “…Open ended winding machines…”
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DECREASE OF BREAKAGE OF HIGH-STRENGTH WIRE AT METAL CORD TWIST ON MACHINES OF DOUBLE TORSION by B. A. Biryukov, Yu. V. Feoktistov, A. V. Vedeneyev

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Application of Support Vector Machines for Estimating Wall Parameters in Through-Wall Radar Imaging by Hua-Mei Zhang, Ye-Rong Zhang, Fang-Fang Wang, Jun-Lin An

“…To quickly and accurately estimate the wall parameters, an approach based on a support vector machine (SVM) is proposed. In TWRI problem, the nonlinearity is embodied in the relationship between backscatter data and the wall parameters, which can be obtained through the SVM training process. …”
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Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

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Tradeoffs in automated financial regulation of decentralized finance due to limits on mutable turing machines by Ben Charoenwong, Robert M. Kirby, Jonathan Reiter

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