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601
Basketball teaching methods based on 3D-Convolutional neural network
Published 2025-12-01“…The basketball skilled movement dataset is classified and processed using a support vector machine, while a dual-resolution 3d-convolutional neural network is employed to process action features. …”
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602
A Finite Control Set Model Predictive Control Algorithm With Low Complexity for Neutral-Point Clamped Converters With Switching Constraints
Published 2024-07-01“…Afterward, a cost function is calculated for the redundancies of the chosen inverter voltage vector, aiming to balance the DC-link capacitor voltages. …”
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603
Coopérer en matière de programmation artistique : Une nécessité qui suppose un changement de paradigme
Published 2024-12-01“…While the tool is based on an a priori simple, "common sense" idea, it raises practical, as well as philosophical and ethical questions that presuppose a completely different organization of the sector and a profound change in the values, ways of thinking and even ethos of the players involved. …”
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604
Plant Classification Method Using Histogram and Machine Learning for Smart Agriculture Applications
Published 2023-06-01“…Due to its high potential and value, the Internet of things (IoT) has been used in various areas such as information security, industry 4.0, and smart agriculture. …”
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605
Finite Control Set Model Predictive Control for Complex Energy System with Large-Scale Wind Power
Published 2019-01-01“…Based on the discrete mathematical model of the grid-side voltage source converter, the proposed strategy optimizes a value function with errors of current magnitudes to predict switching status of the grid-side converter. …”
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606
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607
Evaluation of echocardiographic parameters in patients of acute right ventricular myocardial infarction and its association with in-hospital outcome
Published 2025-06-01“…Results: The findings suggest significant correlations between echocardiographic parameters of RV function. It was noted that patients with PRPHT values <90, tricuspid annular plane systolic excursion (TAPSE) of <10, FAC of <28%, and RVGLS value of <(−12) were able to predict in-hospital outcome in patients of IWMI/RVMI. …”
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608
Laplace transform generation theorems and local Cauchy problems
Published 2004-01-01“…We give new criterions to decide if some vector-valued function is a local Laplace transform and apply this to the theory of local Cauchy problems. …”
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609
Reproducibility of Retinal Nerve Fiber Layer and Macular Thickness Measurement by Spectral Domain Optical Coherence Tomography
Published 2023-01-01“…In RNFL thickness, temporal sector shows the worst reproducibility as compared to other sectors. …”
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610
Genome editing for sustainable agriculture in Peru: advances, potential applications and regulation
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611
Artistic life of North Ossetia in the context of socio-political and economic changes (1991-2001)
Published 2024-09-01“…Historically, in different periods, state authorities have used artistic culture to form priority value and moral orientations. Cultural policy and artistic life in the USSR were characterised by the predominant influence of the public sector. …”
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612
Qualitative analysis for a system of generalized Caputo proportional fractional integro-differential equations with multiple time delays
Published 2025-12-01“…The results of the study are established using a suitable Lyapunov function, along with a modified Lyapunov–Razumikhin approach for the vector-valued case. …”
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613
The Efficiency of Government Control and Civil Service in the Public Health Service
Published 2018-08-01“…The hypothesis supposes logical compliance of processes in the development of the public healthcare sector and civil service management body, which administers the given sector. …”
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614
Educational Connections: Museums, Universities, and Schools as Places of Supplementary Learning
Published 2025-04-01“…The study is further enriched by interviews with two experts from Brazil and France, who collaborate within the Spanish university sector. This qualitative research uses interviews to analyze the key opinions of its participants, from both an analytical and propositional perspective. …”
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615
Development of Advanced Machine Learning Models for Predicting CO<sub>2</sub> Solubility in Brine
Published 2025-02-01“…Using a comprehensive database of 1404 experimental data points spanning temperature (−10 to 450 °C), pressure (0.098 to 140 MPa), and salinity (0.017 to 6.5 mol/kg), the research evaluates the predictive capabilities of five ML algorithms: Decision Tree, Random Forest, XGBoost, Multilayer Perceptron, and Support Vector Regression with a radial basis function kernel. …”
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616
Torque Prediction In Deep Hole Drilling: Artificial Neural Networks Versus Nonlinear Regression Model
Published 2025-12-01“…Results show that the ANN model has better predictive capability, the average MAPE value approximately four times smaller and higher reliability with a standard deviation approximately 3.5 times smaller than the exponential function model. …”
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617
Uncertainty quantification from ensemble variance scaling laws in deep neural networks
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618
Comparison of theoretical and experimental investigation of protonation process of some thiones in acid media
Published 2021-03-01“…The dissociation constants of protonated forms (pKBH + ) and the solvation parameter m* values were calculated in accordance with "excess acidity" function method (Cox and Yates) using the absorbance data from the experimental and reconstructed spectra (Characteristic Vector Analysis (CVA)). …”
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619
Design and analysis of active disturbance rejection and field weakening control system for PMSM based on FCS-MPC
Published 2024-07-01“…To mitigate torque term interferences, this paper presents a combination of finite control set model predictive control (FCS-MPC) and a model predictive torque control system based on torque and flux linkage output design, to replace traditional direct torque control (DTC). Based on a value function constructed to minimize torque and flux linkage ripples, calculations and optimizations enable the selection of optimal space vector control signals that are then transmitted to the inverters. …”
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620
Ciphertext policy hidden access control scheme based on blockchain and supporting data sharing
Published 2022-06-01“…Methods:Firstly,an efficient attribute vector and policy vector generation algorithm is proposed using vector compression technology, which judges whether user attributes satisfy the access policy through the inner product operation result of attribute vector and policy vector.Afterwards, the prime order bilinear group and attribute encryption technology were used to achieve fine-grained access control while avoiding the leakage of user attribute values; using the interstellar file system to store the ciphertext and storing the hash address of the ciphertext on the blockchain through a smart contract,it realizes distributed and reliable access control and reduces the storage overhead of the blockchain. …”
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