Showing 561 - 580 results of 1,336 for search 'generated different (evolution OR evaluation) optimization', query time: 0.23s Refine Results
  1. 561

    Conditional GAN performs better than orthopedic surgeon in virtual reduction of femoral neck fracture by Keyang Zhao, Yihan Mei, Xiaoling Wang, Weihui Ma, Wei Shen

    Published 2025-07-01
    “…The purpose of this study is to develop a virtual fracture reduction technique using conditional GAN (Generative Adversarial Network), and evaluate its performance in simulating and guiding reduction of femoral neck fracture, which is hard to reduce. …”
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    Article
  2. 562
  3. 563

    A multi-objective bilevel optimisation evolutionary algorithm with dual populations lower-level search by Weizhong Wang, Hai-Lin Liu, Hongjian Shi

    Published 2022-12-01
    “…In multi-objective bilevel optimisation problems, the upper-level performance of different lower-level optimal solutions may be very different, even though they belong to the same lower-level problem. …”
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    Article
  4. 564
  5. 565

    Handling Sensor Faults in Hydroponics: A Deep Learning Imputation Technique for Accurate Tomato Yield Prediction by Viji Venugopal, Paresh Tanna, Ramesh Karnati

    Published 2025-01-01
    “…A dataset comprising 1092 data points related to tomato growth and nutrient analysis was utilized to develop and evaluate the proposed model, demonstrating the superior performance of DLPIM compared to nine state-of-the-art imputation methods across different missing data scenarios (10-60%). …”
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    Article
  6. 566

    Prediction of the potentially suitable areas of Eucommia ulmoides Oliver in China under climate change based on optimized Biomod2 and MaxEnt models by Guoqiong Cao, Xiaofeng Yuan, Qilin Shu, Yayang Gao, Taosheng Wu, Chenghong Xiao, Jian Xu, Yongping Zhang

    Published 2024-11-01
    “…The model selection process initially identified the MaxEnt model as the most suitable. The optimized MaxEnt model, with RM = 2.0 and FC = LQHPT settings, generated the most precise predictions. …”
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    Article
  7. 567

    Enhancing farm productivity, profitability, sustainability and livelihood of small farm holders through integrated farming system by SANJEEV KUMAR, ABHISHEK KUMAR, SHIVANI, SANTOSH KUMAR, RAKESH KUMAR, RACHNA DUBEY, KUMARI SHUBHA, KIRTI SAURABH, MANIBHUSHAN, ANUP DAS

    Published 2025-03-01
    “… The present study was carried out from 2018 to 2024 at ICAR-Research Complex for Eastern Region, Patna, Bihar to evaluate eight farming system models [Field crops (FC) alone; FC + Fish + Duck; FC + Fish + Poultry; FC + Fish + Cattle; FC + Fish + Horticulture; FC + Fish + Horticulture + Duck; FC + Fish + Horticulture + Poultry; and FC + Fish + Horticulture + Cattle] with an objective to enhance productivity, improve profitability, optimize resource use through recycling, generate employment, and reduce production costs. …”
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    Article
  8. 568

    AI in Home Care—Evaluation of Large Language Models for Future Training of Informal Caregivers: Observational Comparative Case Study by Clara Pérez-Esteve, Mercedes Guilabert, Valerie Matarredona, Einav Srulovici, Susanna Tella, Reinhard Strametz, José Joaquín Mira

    Published 2025-04-01
    “…ObjectiveWe aimed to evaluate the appropriateness of home care instructions generated by LLMs (including GPTs) in comparison to a professional gold standard. …”
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    Article
  9. 569

    Zero-inflated models for the evaluation of colorectal polyps in colon cancer screening studies—a value-based biostatistics practice by Alok K. Dwivedi, Sherif E. Elhanafi, Mohamed O. Othman, Marc J. Zuckerman

    Published 2025-05-01
    “…Furthermore, simulation studies also confirmed the superiority of ZIRP over alternative models in a range of datasets differing from the case studies. ZIRP was found to be the optimal method for analyzing polyp data in randomized studies, while the ZINB/ZHNB model showed a better fit in an observational study. …”
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    Article
  10. 570

    eCBT-I dialogue system: a comparative evaluation of large language models and adaptation strategies for insomnia treatment by Xueying Bao, Xingyu Zhu, Dongren Yang, Hao Lou, Ruoyun Wang, Yutong Wu, Wenhui Li, Yu Xia, Li Zeng, Yingying Pan, Xiqin Wang, Xian Zhang, Cheng Ling, Youhui Ling, Yan Zhang, Qi Zhao, Mei Yang

    Published 2025-08-01
    “…Results Through the matching of model characteristics to adaptation strategies and the horizontal evaluation of multiple models, we compare the contribution of different fine-tuning strategies to the performance improvement of different language models on the small insomnia dialogue dataset, and finally determine that Qwen2-7b (Freeze) is the model with the best performance on the insomnia dialogue dataset. …”
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    Article
  11. 571
  12. 572

    Construction and Performance Evaluation of a Flow Meter Based on Thermal Pulse to Measure Plant Sap Flow in Vascular Tissues by M. Teimorzadeh, J. Baradaran Motie, A. Rohani, Y. Selahvarzi

    Published 2025-06-01
    “…It is essential to measure (by the device) the difference between temperature probes 40 seconds after heat pulse generation. …”
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    Article
  13. 573

    Self-adaptive multi-population quadratic approximation guided jaya optimization applied to economic load dispatch problems with or without valve-point effects by Sukriti Patty, Rajeev Das, Dharmadas Mandal, Provas Kumar Roy

    Published 2025-06-01
    “…To evaluate its performance, The algorithm is tested on six systems with 10, 38, 40, 110, 140, and 160 generating units. …”
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  14. 574
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  16. 576

    Ecological and Statistical Evaluation of Genetic Algorithm (GARP), Maximum Entropy Method, and Logistic Regression in Predicting Spatial Distribution of Astragalus sp. by Amir Ghahremanian, Abbas Ahmadi, Hamid Toranjzar, Javad Varvani, Nourollah Abdi

    Published 2025-01-01
    “…This study aims to evaluate the potential habitat of Astragalus sp. using three different species distribution modeling methods: the maximum entropy (MaxEnt) model, the Genetic Algorithm for Rule-Set Production (GARP), and logistic regression. …”
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    Article
  17. 577

    An In-House ELISA for Anti-Porcine Circovirus Type 2d (PCV2d) IgG: Analytical Validation and Serological Correlation by Gyeong-Seo Park, Byoung Joo Seo, Woo Ju Kwon, Yeong Lee Seok, Hyo Jeong Lee, Sung Ho Lee, Minju Kim, MinChul Lee, Chanhee Chae, Chonghan Kim

    Published 2025-06-01
    “…Guinea pigs (<i>n</i> = 18) were immunized with IMMUNIS<sup>®</sup> DMVac, an inactivated PCV2d vaccine candidate developed by WOOGENE B&G, at different doses. In-house ELISA parameters were optimized (antigen coating, blocking agent, and substrate incubation), and analytical performance was evaluated by ROC, linearity, reproducibility, and specificity. …”
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    Article
  18. 578

    In vitro comparison of naturally bioactive plant extracts, essential oils, and marine algae targeting different modes of action for mitigation of enteric methane emissions in rumin... by Ian Hodge, Ian Hodge, Patrick Quille, Manimaran Ayyachamy, Shane O'Connell, Shane O'Connell

    Published 2025-05-01
    “…Several mechanisms of action of feed additives for mitigating rumen methanogenesis have been identified from ongoing research, however, there is still a need to determine the most effective method and explore potential synergies between these different approaches. This study evaluates the CH4 mitigation potential of nine natural feed additives, focusing on their mode of action in reducing CH4 emissions during in vitro fermentation. …”
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    Article
  19. 579

    Performance Enhancement of Lead-Free CsSnI<sub>3</sub> Perovskite Solar Cell: Design and Simulation With Different Electron Transport Layers by Md. Ferdous Wahid, Md. Shahriar Rahman, Nowshad Ahmed, Abdullah Al Mamun, Md. Nuralam Howlader, Tarpan Paul, Md. Motiur Rahman Tareq, Md. Sazedur Rahman, Md. Mizanur Rahman

    Published 2024-01-01
    “…An investigation was conducted to evaluate the influence of different ETLs namely WS2, ZnSe, C60 and PCBM on the performance of CsSnI3-based PSCs utilizing poly (3-hexylthiophene-2,5-diyl) (P3HT) as the HTL. …”
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    Article
  20. 580

    A new adaptive grey prediction model and its application by Jianming Jiang, Ming Zhang, Zhongyong Huang

    Published 2025-05-01
    “…In this study, a new fractional-order accumulation generation operation and a novel grey action quantity are designed to improve the grey prediction model. …”
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    Article