Showing 501 - 520 results of 553 for search 'boosting parameter evaluation', query time: 0.11s Refine Results
  1. 501

    LMSOE-Net: lightweight multi-scale small object enhancement network for UAV aerial images by Zhixing Ma, Peidong Luo, Xiaole Shen

    Published 2025-06-01
    “…We evaluate LMSOE-Net through ablation and comparison experiments on the VisDrone2019 and DOTAv1.5 datasets. …”
    Get full text
    Article
  2. 502

    Machine learning-based analysis on pharmaceutical compounds interaction with polymer to estimate drug solubility in formulations by Ahmad J. Obaidullah, Wael A. Mahdi

    Published 2025-07-01
    “…Three base models were evaluated including: Decision Tree (DT), K-Nearest Neighbors (KNN), and Multilayer Perceptron (MLP), which are subsequently improved with the AdaBoost ensemble method. …”
    Get full text
    Article
  3. 503

    Determination of Caffeine Content in Commercial Energy Beverages Available in Saudi Arabian Market by Gas Chromatography-Mass Spectrometric Analysis by Mohammed Al-Bratty, Hassan A. Alhazmi, Zia ur Rehman, Sadique A. Javed, Waquar Ahsan, Asim Najmi, Gulrana Khuwaja, Hafiz A. Makeen, Asaad Khalid

    Published 2020-01-01
    “…Sample solutions were prepared in methanol and analyzed for caffeine content by GC-MS. Chromatographic parameters were optimized to achieve optimum resolution and various validation parameters were evaluated. …”
    Get full text
    Article
  4. 504
  5. 505

    Heat transfer enhancement in a supercritical CO2–water printed circuit heat exchanger using rectangular cavities and pulsating flow by Shiyu Lai, Tieyu Gao, Xiangrui Meng, Liang Zhou, Zhihui Zhang, Ruihao Cheng

    Published 2025-05-01
    “…These organized vortex structures substantially boost local turbulent kinetic energy, disrupt the thermal boundary layer, effectively reduce thermal resistance, and improve field synergy. …”
    Get full text
    Article
  6. 506

    Antifungal Potential of Biogenic Zinc Oxide Nanoparticles for Controlling Cercospora Leaf Spot in Mung Bean by Zill-e-Huma Aftab, Faisal Shafiq Mirza, Tehmina Anjum, Humaira Rizwana, Waheed Akram, Muzamil Aftab, Muhammad Danish Ali, Guihua Li

    Published 2025-01-01
    “…The antifungal properties of ZnO NPs were evaluated against <i>Cercospora canescens</i>, the causative agent of Cercospora leaf spot in mung bean. …”
    Get full text
    Article
  7. 507

    Optimum Design of a Photovoltaic Inverter System Based on Ga, Pso and Gwo Algorithms with a Mppt Sliding Mode Control by Alberto Coronado-Mendoza, Mónica Camas-Náfate, Jesús Sergio Artal-Sevil, José Antonio Domínguez-Navarro

    Published 2025-04-01
    “…In this study, four performance indices are proposed to evaluate the efficiency and energy quality of photovoltaic systems quantitatively. …”
    Get full text
    Article
  8. 508

    Application of Predictive Modeling and Molecular Simulations to Elucidate the Mechanisms Underlying the Antimicrobial Activity of Sage (<i>Salvia officinalis</i> L.) Components in... by Dajana Vukić, Biljana Lončar, Lato Pezo, Vladimir Vukić

    Published 2025-06-01
    “…To predict the binding affinity per unit mass of these sage-derived compounds against the target pathogens, machine learning models—including Artificial Neural Networks (ANN), Support Vector Machines (SVM), and Boosted Trees Regression (BTR)—were developed and evaluated. …”
    Get full text
    Article
  9. 509

    A multiresolution approach with method-informed statistical analysis for quantifying lymphatic pumping dynamics by Mohammad S. Razavi, Katarina J. Ruscic, Elizabeth G. Korn, Marla Marquez, Timothy T. Houle, Dhruv Singhal, Lance L. Munn, Timothy P. Padera

    Published 2025-01-01
    “…This approach not only offers detailed insights into lymphatic pumping behaviors across species, sex and age, but also significantly boosts the reliability of these measurements by incorporating multiple regions of interest and evaluating the lymphatic system under various gravitational loads. …”
    Get full text
    Article
  10. 510

    Myo-inositol increases respiratory burst, cellular proliferation, and phagocytosis of cultured leukocytes from Nile tilapia by Edgar Junio Damasceno Rodrigues, Pedro Luiz Pucci Figueiredo de Carvalho, Vitor Fernandes Silva, Delbert M. Gatlin, III, Margarida Maria Barros

    Published 2025-06-01
    “…Myo-inositol (MI) is a functional nutrient known to positively affect growth and health parameters when supplemented in appropriate concentrations. …”
    Get full text
    Article
  11. 511

    Sustainable Hydrogen Production from Plastic Waste: Optimizing Pyrolysis for a Circular Economy by Fiyinfoluwa Joan Medaiyese, Hamid Reza Nasriani, Khalid Khan, Leila Khajenoori

    Published 2025-03-01
    “…Hydrogen yield optimization is achieved through the integration of two water–gas shift reactors and a pressure swing adsorption unit, enabling hydrogen production rates of up to 31.85 kmol/h (64.21 kg/h) from 300 kg/h of mixed plastic wastes, consisting of 100 kg/h each of HDPE, PP, and PS. Key process parameters were evaluated, revealing that increasing reforming temperature from 500 °C to 1000 °C boosts hydrogen yield by 83.53%, although gains beyond 700 °C are minimal. …”
    Get full text
    Article
  12. 512

    Studying the Potential of Biochar as a Soil Amendment to Improve Crop Productivity by Al-Fatlawy Ramy Riad, Hussein A. H. A., Satyanarayana G. V. V.

    Published 2025-01-01
    “…The methodology involves a comparative analysis of these amendments, evaluating their impact on crop productivity, soil pH levels, water retention capacity, and nutrient content. …”
    Get full text
    Article
  13. 513

    Energy-efficient cluster head selection in Internet of Things networks using an optimized evaporation rate water-cycle algorithm by Cong Lv, Guiling Long

    Published 2025-03-01
    “…OERWCA achieves significant improvements, including up to a 26% increase in network lifetime, a 32% boost in throughput, a 20% reduction in transmission delay, and a 27% enhancement in PDR compared to the best-performing benchmarks. …”
    Get full text
    Article
  14. 514
  15. 515

    A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications by Gege Ding, Jiayue Liu, Dongsheng Li, Xiaming Fu, Yucheng Zhou, Mingrui Zhang, Wantong Li, Yanjuan Wang, Chunxu Li, Xiongfei Geng

    Published 2025-01-01
    “…The CFSD-UAVNet model was evaluated on the publicly available SeaDronesSee maritime dataset and compared with other cutting-edge algorithms. …”
    Get full text
    Article
  16. 516

    Predictive modeling of oil rate for wells under gas lift using machine learning by Famin Ma, Farag M. A. Altalbawy, Pinank Patel, R. Manjunatha, Rishiv Kalia, Shoira Formanova, P. Raja Naveen, Kamal Kant Joshi, Aashna Sinha, Abdolali Yarahmadi Kandahari, Taqi Mohammed Khattab Al-Rubaye, Mohammad Mahtab Alam

    Published 2025-07-01
    “…Multiple machine learning models (Decision Tree, AdaBoost, Random Forest, Ensemble Learning, CNN, SVR, MLP-ANN, and Lasso Regression) were trained and evaluated using 5-fold cross-validation and key statistical metrics (R², MSE, AARE%). …”
    Get full text
    Article
  17. 517

    Foliar application of nano NPK fertilizer improves physiological activities and essential oil production in Coleus aromaticus Benth. (Ajwain Patta) by Sufina Akhter, Sana, Tariq Aftab, M. Masroor A. Khan, M. Naeem

    Published 2025-05-01
    “…(commonly known as Ajwain Patta) is an important aromatic plant valued for its essential oils, which possess notable therapeutic properties and substantial commercial relevance in the food and cosmetic industries. The present study evaluates the foliar application of Nano NPK fertilizer (nitrogen, phosphorus, and potassium 19:19:19) and its efficacy in improving the agronomic performance of C. aromaticus. …”
    Get full text
    Article
  18. 518

    An AI method to predict pregnancy loss by extracting biological indicators from embryo ultrasound recordings in early pregnancy by Lijue Liu, Yuan Zang, Huimu Zheng, Siya Li, Yu Song, Xue Feng, Xiyuan Zhang, Yaoxu Li, Lulu Cao, Guanglin Zhou, Tingting Dong, Qi Huang, Teng Pan, Jinhai Deng, Danling Cheng

    Published 2025-07-01
    “…Dice, IOU and Precision were used to evaluate the measurement results, and sensitivity, AUC etc. were used to evaluate the predict results. …”
    Get full text
    Article
  19. 519
  20. 520

    Assessing the efficacy of different nano-iron sources for alleviating alkaline soil challenges in goji berry trees (Lycium barbarum L.) by Afsaneh Ansari, Jafar Amiri, Parviz Norouzi, Mohammad Fattahi, Mirhassan Rasouli-Sadaghiani, Hadi Alipour

    Published 2024-11-01
    “…This study explores the effects of various iron sources and concentrations, including FeSO4.7H2O, Fe-EDDHA, Nano-Fe, and green-synthesized nano-Fe, at three concentrations (0, 0.25, and 0.5 g L− 1) on the growth, physiological, biochemical parameters, and nutrient uptake of goji berry. The evaluated parameters included leaf area, fresh and dry weight of leaves and fruits, chlorophyll a, b, and a/b ratio, carotenoids, total soluble sugar in leaves and fruits, catalase, guaiacol peroxidase, ascorbate peroxidase enzymes, and the concentrations of nutrient elements (N, P, K, Ca, Mg, Cu, Mn, Zn, and Fe). …”
    Get full text
    Article