Showing 4,001 - 4,020 results of 7,454 for search 'tool parameters', query time: 0.16s Refine Results
  1. 4001

    Assets performance evaluation with the use of returns distribution characteristics by Seyedeh Masoumeh Mirsadeghpour Zoghi, Masoud Sanei, Ghasem Tohidi, Shokoofeh Banihashemi, Navideh Modarresi

    Published 2023-09-01
    “…As the returns on stock are VG distributed, its parameters are simulated by the method of moments estimation, and then the process factors are simulated by the Monte Carlo technique. …”
    Get full text
    Article
  2. 4002

    A comparative study of deep reinforcement learning for crop production management by Joseph Balderas, Dong Chen, Yanbo Huang, Li Wang, Ren-Cang Li

    Published 2025-03-01
    “…To ensure a fair comparison, we used consistent default parameters, identical reward functions, and the same environment settings. …”
    Get full text
    Article
  3. 4003

    Torque and speed prediction of a brushless direct current motor using nonlinear autoregressive with exogenous inputs and neural network by Muhammad Aseer Khan, Dur-e-Zehra Baig, Husan Ali, Fahad R. Albogamy

    Published 2025-07-01
    “…However, accurately predicting key parameters such as torque and speed remains a challenge because of the motor’s inherently nonlinear dynamics. …”
    Get full text
    Article
  4. 4004

    An advanced deep learning method for pepper diseases and pests detection by Xuewei Wang, Jun Liu, Qian Chen

    Published 2025-05-01
    “…By addressing computational inefficiencies and refining small object detection capabilities, YOLO-Pepper provides robust technical support for intelligent agricultural monitoring systems, making it a highly effective tool for early disease detection and integrated pest management in commercial greenhouse operations.…”
    Get full text
    Article
  5. 4005

    Development of an optimized deep learning model for predicting slope stability in nano silica stabilized soils by Ishwor Thapa, Sufyan Ghani, Prabhu Paramasivam, Mitiku Adare Tufa

    Published 2025-07-01
    “…This research shows that hybrid models of deep learning combined with techniques of optimization and interpretability provide a powerful and efficient tool for geotechnical engineers to assess the stability of inclination, reduce computing efforts, and improve predictive accuracy. …”
    Get full text
    Article
  6. 4006
  7. 4007

    The regulation mechanism of Basin vegetation on river hydrology: A comparison between humid and semi-arid regions by Wenxian Guo, Xuyang Jiao, Ning He, Yong Niu, Hongxiang Wang

    Published 2025-09-01
    “…This finding underscores the heightened sensitivity of vegetation parameters in semi-arid regions to hydrological processes. …”
    Get full text
    Article
  8. 4008

    An Efficient Sparse Twin Parametric Insensitive Support Vector Regression Model by Shuanghong Qu, Yushan Guo, Renato De Leone, Min Huang, Pu Li

    Published 2025-07-01
    “…Moreover, a two-stage hybrid tuning strategy—combining grid search for coarse parameter space exploration and Bayesian optimization for fine-grained convergence—is proposed to precisely select the optimal parameters, reducing tuning time and improving accuracy compared to a singlemethod strategy. …”
    Get full text
    Article
  9. 4009

    Knowledge cues to human origins facilitate self-disclosure during interactions with chatbots by Gabriella Warren-Smith, Guy Laban, Emily-Marie Pacheco, Emily S. Cross

    Published 2025-08-01
    “…Chatbots are emerging as a self-management tool for supporting mental health, appearing across commercial and healthcare settings. …”
    Get full text
    Article
  10. 4010

    Treatment outcomes of pre-surgical infant orthopedics in patients with non-syndromic cleft lip and/or palate: A systematic review and meta-analysis of randomized controlled trials. by Hamid Reza Hosseini, Eleftherios G Kaklamanos, Athanasios E Athanasiou

    Published 2017-01-01
    “…<h4>Data collection and analysis</h4>Following study retrieval and selection, data extraction and individual study risk of bias assessment using the Cochrane Risk of Bias Tool took place. The overall quality of the available evidence was assessed with the Grades of Recommendation, Assessment, Development and Evaluation approach.…”
    Get full text
    Article
  11. 4011

    Use of physical exertion to enhance objective testing following mild traumatic brain injury: a systematic review by Duncan Reid, Katherine Forch, Sharon Olsen, Mangor Pedersen, Nicola CM Towersey

    Published 2025-04-01
    “…Risk of bias was assessed with the Risk Of Bias In Non-randomized Studies of Interventions tool. Results were analysed descriptively.Results The review included 22 studies with 536 participants wih mTBI. …”
    Get full text
    Article
  12. 4012

    Low-intensity laser exposure enhances rice (Oryza sativa L.) growth through physio-biochemical regulation, transcriptional modulation, and microbiome alteration by Yetong Qi, Yumeng Lei, Temoor Ahmed, Feng Cheng, Kangqi Lei, Han Yang, Hayssam M. Ali, Zhitao Li, Xingjiang Qi

    Published 2025-05-01
    “…These findings establish low-intensity laser treatment as a promising tool for enhancing rice productivity through coordinated regulation of photosynthetic efficiency, stress responses, and beneficial microbiome interactions.…”
    Get full text
    Article
  13. 4013

    GIS-Based Approach for Estimating Olive Tree Heights Using High-Resolution Satellite Imagery and Shadow Analysis by Raffaella Brigante, Valerio Baiocchi, Roberto Calisti, Laura Marconi, Primo Proietti, Fabio Radicioni, Luca Regni, Alessandra Vinci

    Published 2025-03-01
    “…Measuring tree heights is a critical step for assessing ecological and agricultural parameters, including biomass, carbon stock, and canopy volume. …”
    Get full text
    Article
  14. 4014

    The FBA solution space kernel: introduction and illustrative examples by Wynand S. Verwoerd, Longfei Mao

    Published 2025-07-01
    “…Conclusions SSKernel is a flexible interactive tool that facilitates an overview of the FBA solution space as a multidimensional geometric object, in terms of a manageable number of parameters. …”
    Get full text
    Article
  15. 4015

    COPD-Lower Respiratory Tract Infection Visual Analogue Score (c-LRTI-VAS) validation in stable and exacerbated patients with COPD by Thys van der Molen, Tjip S van der Werf, Hendrik Johannes Prins, Ruud Duijkers, Johannes M A Daniels, Wim Boersma

    Published 2021-01-01
    “…It, therefore, appears a reliable tool for symptom measurement during AECOPD.Trial registration number NCT01232140.…”
    Get full text
    Article
  16. 4016
  17. 4017

    The Effects of Scan Body Geometry on the Precision and the Trueness of Implant Impressions Using Intraoral Scanners: A Systematic Review by Roksana Mohajerani, Shirin Djalalinia, Marzieh Alikhasi

    Published 2025-06-01
    “…Study quality was assessed using the Quality Assessment Tool for In Vitro Studies of Dental Materials (QUIN). …”
    Get full text
    Article
  18. 4018

    Quality by Design and In Silico Approach in SNEDDS Development: A Comprehensive Formulation Framework by Sani Ega Priani, Taufik Muhammad Fakih, Gofarana Wilar, Anis Yohana Chaerunisaa, Iyan Sopyan

    Published 2025-05-01
    “…As an essential addition to this review, in silico approach emerges as a valuable tool in the development of SNEDDS, offering deep insights into self-assembly dynamics, molecular interactions, and emulsification behaviour. …”
    Get full text
    Article
  19. 4019

    A methodology study on spent dialysate collection by SONG Jin-hui, LIU Jian-jing

    Published 2018-01-01
    “…Objective To explore the accuracy of using a new kind of both simple and accurate tool to collect spent dialysate.Methods Thirty patients receiving maintenance hemo dialysis(MHD)in a stable condition were enrolled from our blood purification center.The patent method and the traditional method were used respectively to collect the spent dialysate of a whole dialysis(4 h)during the second treatment of a week.Phosphorus,urea nitrogen,creatinine and uric acid of the spent dialysate collected by two methods were determined,and the obtained data were classified as "patent group"and"traditional group".Meanwhile,by the use of data about gender,age,parameters of the dialyzer,and phosphorus concentration of spent dialysate which was collected after the dialysis for 60 min,a formula was used to calculate phosphorus removal amount of a whole dialysis procedure,and the obtained data were classified as"formula group".Results The total removal amounts of phosphorus,urea nitrogen,creatinine and uric acid in the patent group and traditional group were(27.60±8.39)vs.(27.75±8.45)mmol;(458.15±187.83)vs.(187.83±193.91)mmol;(14 676.46±5 593.39)vs.(5 593.39 ± 5 919.89)μmol;(6 341.61 ± 2 193.88)vs.(6 412.32 ±2 213.69)μmol,respectively.There were no statistically significant differences between the two groups(P>0.05),and the correlation coefficient was 0.996 for all.The total removal amounts of phosphorus in the formula group and traditional group were(32.8±28.03)vs.(27.75±8.45)mmol respectively.There were statistically significant differences between the two groups(t=6.35,P<0.01),and the correlation coefficient r=0.860.Conclusions The new method can perfectly replace the traditional or gold standard method to collect spent dialysate of a whole dialysis procedure.The detected removal amounts of various materials in the samples obtained by this new method are very consistent with those by the traditional method.Furthermore,the new method is significantly superior to the formula method.…”
    Get full text
    Article
  20. 4020

    Pod Production Dynamics and Pod Size Distribution of Theobroma cacao L. Clone CCN 51 in Full Sunlight by Ramón E. Jaimez, Luigy Barragan, Miguel Fernández-Niño, Oswaldo J. Larreal B, Byron Flores

    Published 2024-01-01
    “…This represents a promising tool to determine pod growth in other cultivars of relevance for the cocoa industry, which is essential to improve cocoa crop management.…”
    Get full text
    Article