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Contributions Regarding the Improvement of Specific Physical Training in 14 – 16 Year-Old Handball Players
Published 2024-07-01“…By carefully watching the handball games both in the domestic championship and the games from the World and European Championships, we come to the conclusion that great performances are only achieved by teams that have a very good physical training, so implicitly a general and specific motor ability excellently doubled by a preparation on training factors: technical, theoretical, tactical and psychological. …”
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Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting
Published 2020-01-01“…With ablation experiments, the proposed model achieved the best results in the AQS, AACE, and inversion error, and especially the average of the AACE is grown by 34.71%, 75.22%, and 32.44% compared with QGBRT, QCNN, and QLSTM, respectively, indicating that our method has excellent reliability and robustness rather than the state-of-the-art models obviously. Meanwhile, great performances of efficient time response demonstrate that our proposed work has promising prospects in practical applications.…”
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PERSPECTIVES ON THE SPECIFIC FOOTBALL PARAMETERS OF ROMANIA’S THIRD LEAGUE
Published 2024-12-01“…In our work we set out to observe a totally different world from what "great performance" means -the 3rd Football League from Romania. …”
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Improving the Start in Swimmers with the Help of Plyometric Exercises
Published 2025-12-01“…Physical preparation is one of the most important factors of sports training in achieving great performance. In this material, the problem of developing the skills of swimmers to improve their start with the help of plyometric exercises as well as strength circuits is studied. …”
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High-roubustness keystroke recognition method based on acoustic spatial gradient
Published 2020-05-01“…For the fluctuation of CFCC caused by environmental noise is the main reason for the low accuracy of keystroke detection,the spatial characteristics of adjacent between CFCC were studied,and the spatial gradient structure of CFCC based on points was established.On this basis,the effect of CFCC spatial gradient on keystroke content recognition and the selection of precise neighborhood points were studied on training and testing.Finally,a high-robustness keystroke recognition algorithm based on acoustic signals was constructed.Extensive experiments in different environments demonstrate that the proposed CFCC spatial gradient sound feature achieves great performance and the recognition accuracy is 96.15%.…”
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DOA Estimation Based on Sparse Signal Recovery Utilizing Double-Threshold Sigmoid Penalty
Published 2015-01-01“…Simulations are done to certify the great performance of the proposed method.…”
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Design and Analysis of an Annular 3-PPR Planar Parallel Mechanism
Published 2023-01-01“…Based on the normalized Jacobian matrix, the singularity and dexterity performance of the manipulator are analyzed, and the optimal configuration parameters with great performance are obtained. Combined with the inverse kinematics solution and the geometry constraints of the manipulator, the reachable workspace is determined. …”
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The impact of anions on electrooxidation of perfluoroalkyl acids by porous Magnéli phase titanium suboxide anodes.
Published 2025-01-01“…Previous studies have indicated the great performance of electrooxidation (EO) to mineralize per- and polyfluoroalkyl substances (PFASs) in water, but different anions presented in wastewater may affect the implementation of EO treatment in field applications. …”
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Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera
Published 2016-01-01“…The indoor experimental results demonstrate that the proposed algorithm has a great performance on map building and verify the feasibility and effectiveness of the proposed algorithm.…”
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Detection for physical-layer network coding in two-way relay channels
Published 2012-02-01“…The detection for physical-layer network coding (PNC) in two-way relay channels was investigated.Maximum-likelihood (ML) detection not only had great performance but also had high computational complexity.Therefore,without channel state information (CSI) at source nodes,two detection schemes were proposed.The first scheme was likelihood ratio(LR)detection based on LR function,and the other was maximum a posteriori probability (MAP) detection based on MAP rule.Meanwhile,It carried out similar analysis if CSI was available at source nodes.Compared to ML detection which separately detects two source messages,numerical and simulation results show that LR detection outperforms it in terms of BER metric with the requirement for additional noise variance information.And MAP detection is equivalent to ML detection,and it has lower computational complexity.…”
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Investigation of Influential Parameters in Deep Oxidative Desulfurization of Dibenzothiophene with Hydrogen Peroxide and Formic Acid
Published 2013-01-01“…The results revealed such a great performance in the case of H2O2 in the presence of formic and sulfuric acids that led to the removal of sulfur compounds. …”
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Malaria Diagnosis Using a Lightweight Deep Convolutional Neural Network
Published 2022-01-01“…CNNs have been prominently used for identification, classification, and feature extraction tasks, and they have delivered a great performance at these tasks. In our study, we propose a lightweight CNN, which requires less time to train, for identifying malaria parasitic red blood cells and distinguishing them from healthy red blood cells. …”
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Non-orthogonal multiple-access system SC-FDMA-IDMA with iterative block equalization
Published 2014-08-01“…Simulation results show that comparing with the sin-gle-user SC-FDMA system with high-order modulation, the multiuser SC-FDMA-IDMA system with low-order modula-tion has great performance improvement after adopting the IB-DFE algorithm on condition that these two systems have the same transmission efficiency.…”
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Multiview ISAR Imaging for Complex Targets Based on Improved SBR Scattering Model
Published 2021-01-01“…The final simulation ISAR images further validate the great performance of our scattering calculation algorithm and ISAR imaging method.…”
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Satisfaction by the certain subjective success in career
Published 2019-01-01“…In order for an organization to successfully operate, it is necessary to know all employees and to establish an agreement between individual and organizational goals, which means that it should follow the following business philosophy: "Great performance and great satisfaction of the individual." …”
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Bio particle swarm optimization and reinforcement learning algorithm for path planning of automated guided vehicles in dynamic industrial environments
Published 2025-01-01“…It is compared with Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and Transit Search (TS) algorithms by benchmark functions. It has great performance in unimodal optimization problems, and it gains the best fitness value with fewer iterations and average runtime than other algorithms. …”
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The Influence of Chemically Treated Hemp Fibre on the Mechanical Behavior and Thermal Properties of Polylactic Acid Made with FDM
Published 2022-01-01“…Hemp fibre composites are expected to achieve great performance in industrial applications by enduring chemical treatment.…”
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Deep convolutional neural networks for double compressed AMR audio detection
Published 2021-06-01“…Secondly, the proposed system yields great performance independent of the recording device or environment. …”
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Removal of Sulfur Dioxide from Flue Gas Using the Sludge Sodium Humate
Published 2013-01-01“…The sludge sodium humate in the supernatant after alkaline sludge treatment shows great performance in SO2 absorption, and such efficiency can be maintained above 98% with 100 mL of this absorption solution at 298 K (flue gas rate of 0.12 m3/h). …”
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Document Information Extraction: An Analysis of Invoice Anatomy
Published 2024-01-01“…This methodology allows to have great performance, even with models that have significantly fewer parameters, especially in comparison to recently published models with millions of parameters.…”
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