Unified Quantile Regression Deep Neural Network with Time-Cognition for Probabilistic Residential Load Forecasting by Zhuofu Deng, Binbin Wang, Heng Guo, Chengwei Chai, Yanze Wang, Zhiliang Zhu

“…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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Improving the Start in Swimmers with the Help of Plyometric Exercises by C. Tartaleanu, D. Ortanescu

“…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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DOA Estimation Based on Sparse Signal Recovery Utilizing Double-Threshold Sigmoid Penalty by Hanbing Wang, Hui Li, Bin Li

“…Simulations are done to certify the great performance of the proposed method.…”
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The impact of anions on electrooxidation of perfluoroalkyl acids by porous Magnéli phase titanium suboxide anodes. by Yaye Wang, Yifei Wang, Shuping Dong, Qingguo Huang

“…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 by Songmin Jia, Ke Wang, Xiuzhi Li

“…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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Investigation of Influential Parameters in Deep Oxidative Desulfurization of Dibenzothiophene with Hydrogen Peroxide and Formic Acid by Alireza Haghighat Mamaghani, Shohreh Fatemi, Mehrdad Asgari

“…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 by Varun Magotra, Mukesh Kumar Rohil

“…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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Multiview ISAR Imaging for Complex Targets Based on Improved SBR Scattering Model by Tiantian Feng, Lixin Guo

“…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 by Janjić Ivana, Ilić Đurđijana

“…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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The Influence of Chemically Treated Hemp Fibre on the Mechanical Behavior and Thermal Properties of Polylactic Acid Made with FDM by N. I. Haroon Rashid, R. Meenakshi Reddy, A. R Venkataramanan, Melvin V. D. Poures, A. Thanikasalam, Ashraf Elfasakhany, Agonafir Alemayehu

“…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 by Aykut Büker, Cemal Hanilçi

“…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 by Yu Zhao, Guoxin Hu

“…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 by Mouad Hamri, Maxime Devanne, Jonathan Weber, Michel Hassenforder

“…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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Structural Analysis of Lunar Regolith from LPR CH-2 Data Based on Adaptive f-x E MD: LPR Data Processed by Adaptive f-x EMD by Bin Hu, Deli Wang, Ling Zhang, Zhaofa Zeng

“…Both simulation and LPR CH-2 data present a great performance. Finally, according to the processed result, we locate the position of each rock and highlight the contact interface of regolith and the basement rock.…”
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Application of physics-informed neural networks (PINNs) solution to coupled thermal and hydraulic processes in silty sands by Yuan Feng, Jongwan Eun, Seunghee Kim, Yong-Rak Kim

“…The PINNs exhibited great performance in simulating the thermal–hydraulic coupling problem. …”
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A Numerical Investigation of the Precipitation over Lake Victoria Basin Using a Coupled Atmosphere-Lake Limited-Area Model by Xia Sun, Lian Xie, Fredrick H. M. Semazzi, Bin Liu

“…The WRF-POM coupled system made a great performance on simulating the expected LST, which is featured with eastward temperature gradient as in the real bathymetry of the lake. …”
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An interpretable semi‐supervised system for detecting cyberattacks using anomaly detection in industrial scenarios by Ángel Luis Perales Gómez, Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Félix J. García Clemente

“…In this context, the Anomaly Detection based on Machine Learning (ML) and Deep Learning (DL) techniques showed great performance when detecting cyberattacks in industrial scenarios. …”
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Selecting the Best Routing Traffic for Packets in LAN via Machine Learning to Achieve the Best Strategy by Bo Zhang, Rongji Liao

“…Exploiting the gaps in previous studies, which are represented in the lack of training of the system and the inaccurate prediction as a result of not taking into consideration the hidden layers' feedback, leads to great performance. This study aims to suggest an efficient algorithm that could help in selecting the shortest path to improve the existing methods using weights derived from packet ID and to change neural network iteration simultaneously. …”
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Targeted next-generation sequencing for antimicrobial resistance detection in ventilator-associated pneumonia by Yuting Li, Yanfang Jiang, Hao Liu, Yao Fu, Junying Lu, Hongyan Li, Lulu Sheng, Dejian Gu, Dong Zhang

“…For AMR, the overall consistency between AST and tNGS was 79.31%. The great performance particularly exhibited for Acinetobacter baumannii carbapenem-penicillin-cephamycin resistance.ConclusiontNGS excels in identifying pathogens and AMR. …”
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An approach for accurate identification and monitoring of species in mangrove forests based on multi-source spectral data and deep learning by Monterrubio-Martínez Erandi, Trujillo-Acatitla Rubicel, Tuxpan-Vargas José, Moreno-Casasola Patricia

“…The best models for detecting mangrove forest achieved an accuracy of 99.95 % for training and 99.8 % for test, while for monospecific mangrove forest, at the species level, it attained an accuracy of 98.73 % for training and 96.84 % for test, in both cases the models demonstrated a great performance test for segmentation of different kind of mangrove forests. …”
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