Combinatorial Price Offer for a Wind Turbine with Flexible Load Considering the Uncertainty to Increase the Benefit of Wind Turbine by Behnam Sobhani, Sadegh Afzal

“…The price and wind prediction will be conducted using one of the previous methods, and the primary purpose here is to increase the system revenue. …”
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Study of V-notch fatigue strength based on affected depth approach by Youssef, Marwa, Nasr, Anouar

“…In the first part of the paper, Fatigue Limit diagram is simulated by assessing the fatigue limits to validate the AD model for notched components. The prediction of the fatigue strength is consistent with the experimental investigation taken from the literature, and it provides interesting results. …”
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Analysis of Shear Stagger Deformation of Existing Shield Tunnel below Induced by Quasirectangular Shield Tunneling by Kun Zhang, Xi Chen, Wei Yin, Kun Hu, ShengXue Zhu

“…It is by comparing the numerical simulation results and field monitoring data that the theoretical prediction formula is verified. The research results show that the theoretical calculation results consist highly with numerical simulation results and field monitoring data, verifying practicality of formulas in this paper. …”
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Establishment of Reference Norms for Lung Function Parameters of Healthy Sri Lankan Tamils by Mathanki Sooriyakanthan, Savithri Wimalasekera, Sivapalan Kanagasabai

“…Step wise multiple regression analysis was used to determine the prediction equations. Also equations based on age, height and age, arm span were derived. …”
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Vulcont: A recommender system based on context history ontology by Ismael M. G. Cardoso, Jorge L. V. Barbosa, Bruno M. Alves, Lucas P. S. Dias, Luan C. Nesi

“…Every day people are exposed to different item offerings based on the prediction of their interests and decisions. Context information, such as location, goals, and close entities, plays a key role in the recommendations' accuracy. …”
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Fisher Discriminant Analysis for Extracting Interpretable Phenological Information From Multivariate Time Series Data by Conor T. Doherty, Meagan S. Mauter

“…We find that using multivariate data inputs can reduce prediction root mean squared error (RMSE, in days) by 20% relative to models using only univariate inputs. …”
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Effects of Vertical Transmission and Human Contact on Zika Dynamics by Abdoulaye Sow, Cherif Diallo, Hocine Cherifi

“…To validate the model and estimate the important parameters of the model and the prediction of the disease, we consider the real cases in Colombia from 2016. …”
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Robot Simulation on Agri-Field Point Cloud With Centimeter Resolution by Shintaro Noda, Masayuki Kogoshi, Wataru Iijima

“…The simulator in this study enables fast computation and accurate prediction of robot movements on centimeter-resolution agri-field point-cloud models, supporting research on agricultural robots not limited to the growing season.…”
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Recent advances in nutritional metabolism studies on SARS-CoV-2 infection by Yufen Jiang, Linle Xu, Xuexing Zheng, Hongbo Shi

“…These metabolic pathways not only have potential value in prediction and diagnosis but also provide new perspectives for the development of therapeutic strategies. …”
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Yoga practices effect on VCSS-based classification of patients with chronic venous insufficiency based on hybrid machine learning algorithms by Changhong Pan, Lu Qi, Lili Zhao, Yijun Wei

“…Venous Clinical Severity Score (VCSS) levels prior to and one month following yoga sessions were among the variables in the questionnaire that were considered as inputs: effective influences on CVD. The developed prediction models were trained, and their operational capability was tested. …”
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North American avian species that migrate in flocks show greater long-term non-breeding range shift rates by Stephen H. Vickers, Timothy D. Meehan, Nicole L. Michel, Aldina M. A. Franco, James J. Gilroy

“…Methods Here we used 50 years of North American Breeding Bird Survey and Audubon Christmas Bird Count data to test the prediction that breeding and/or non-breeding range-shifts are more prevalent among flocking migrants, which possess a capacity for rapid social transmission of novel migration routes. …”
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DIMD-DETR: DDQ-DETR With Improved Metric Space for End-to-End Object Detector on Remote Sensing Aircrafts by Huan Liu, Xuefeng Ren, Yang Gan, Yongming Chen, Ping Lin

“…Initially, a bilayer targeted prediction method is proposed to strengthen gradient interaction across decoder layers, thereby enhancing detection accuracy and sensitivity in complex scenarios. …”
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Stochastic Simulation of Soot Formation Evolution in Counterflow Diffusion Flames by Xiao Jiang, Kun Zhou, Ming Xiao, Ke Sun, Yu Wang

“…However, KM2 mechanism provides much closer prediction compared to measurements for soot gas precursors. …”
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Estimating the Geological Strength Index (GSI) in Regional Seismic-Landslide Zonation Using the Empirical Regression Model by M. E. Mirabedini, E. Haghshenas, N. Ganjian

“…The regression equation predicted GSI in terms of (1) the distance from faults, (2) the distance from thrusts, and (3) the uniaxial compressive strength (σci). …”
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Research on Road Adhesion Condition Identification Based on an Improved ALexNet Model by QiMing Wang, JinMing Xu, Tao Sun, ZhiChao Lv, GaoQiang Zong

“…Finally, the traditional machine learning and improved ALexNet model are compared, focusing on adaptability, prediction output, and error performance, among others. …”
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Rarefied Nozzle Flow Computation Using the Viscosity-Based Direct Simulation Monte Carlo Method by Deepa Raj Mopuru, Nishanth Dongari, Srihari Payyavula

“…Micro-nozzles are essential for enabling precise satellite attitude control and orbital maneuvers. Accurate prediction of performance parameters, including thrust and specific impulse, is critical, necessitating careful design of these nozzles. …”
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A Reliable Method for Identification of Antibiotics by Terahertz Spectroscopy and SVM by Jin Guo, Hu Deng, Quancheng Liu, Linyu Chen, Zhonggang Xiong, Liping Shang

“…The use of the t-SNE-PSO-SVM model achieved the highest average accuracy on the prediction set, which was 99.91%. Thus, our study does not only confirm that the t-SNE-PSO-SVM model proves to be a reliable method for antibiotics identification, but also confirms that the combination of THz-TDS and chemometric pattern recognition has great potential for drug detection.…”
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Single-cell RNA sequencing reveals tumor heterogeneity in small cell neuroendocrine cervical carcinoma by Xuesong Xiang, Xiang Tao, Keqin Hua, Hua Jiang, Jingxin Ding

“…Overall, these findings provide clues for tumorigenesis, precision treatments and prognostic prediction in SCNECC.…”
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Erosion–Seepage System (ESS) for Flow-Induced Soil Erosion Rate with Seepage by Yuhuan Zhang, Lin Cui, Dong-Sheng Jeng, Zheng Wang, Hualing Zhai

“…Critical shear stress and erosion rate are two key factors for the prediction of the incipient motion of sediment and the transport of sediment. …”
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The Prognostic Role and Relationship between E2F1 and SV40 in Diffuse Large B-Cell Lymphoma of Egyptian Patients by Rehab M. Samaka, Hayam A. Aiad, Mona A. Kandil, Nancy Y. Asaad, Nanes S. Holah

“…Upregulation of E2F1 has been implicated in oncogenesis, prognosis, and prediction of therapeutic response but is not seemingly to have a relationship with the accused SV40.…”
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