Showing 61 - 80 results of 245 for search 'probability collaboration (method OR methods)', query time: 0.12s Refine Results
  1. 61

    Product recommendation for online sales systems based on transaction sessions by Le Bich Tuyen Mai, Thanh Hai Nguyen, Thanh Dien Tran

    Published 2024-10-01
    “…This study proposes models for recommending products on online sales systems based on transaction sessions using memory-based collaborative filtering methods, including user-based and item-based, and model-based collaborative filtering methods including SVD and KNN. …”
    Get full text
    Article
  2. 62

    Product recommendation for online sales systems based on transaction sessions by Le Bich Tuyen Mai, Thanh Hai Nguyen, Thanh Dien Tran

    Published 2024-10-01
    “…This study proposes models for recommending products on online sales systems based on transaction sessions using memory-based collaborative filtering methods, including user-based and item-based, and model-based collaborative filtering methods including SVD and KNN. …”
    Get full text
    Article
  3. 63
  4. 64

    Cost-effectiveness of chronic obstructive pulmonary disease population screening in China: based on individual data from WHO Collaborating Centre-initiated ‘Enjoying Breathing Prog... by Tiantian Zhang, Jiahuan Ai, Ke Huang, Peiyao Lu, Xiao Tang, Jieping Lei, Xue Li, Esther W. Chan, Qiming Wen, Xiaoqin Wen, Fang Fang, Cunbo Jia, Ian C. K. Wong, Jie Jiang, Ting Yang, Chen Wang, on behalf of Enjoying Breathing Program

    Published 2025-04-01
    “…However, the cost-effectiveness of the Program remains unknown. Methods A lifetime Markov model was developed to compare the cost-effectiveness of the Program of COPD screening to no screening from a Chinese healthcare perspective. …”
    Get full text
    Article
  5. 65

    GLOBAL ENERGY MARKET SUSTAINABILITY: MODERN CHALLENGES IN SCOPE OF UKRAINIAN CONTEXT by Mariya Kuznetsova

    Published 2025-05-01
    “…Moreover, in order to generate reliable forecasts for Ukraine's electricity production up to 2030, a mathematical extrapolation method was applied in order to develop a probable scenario. …”
    Get full text
    Article
  6. 66

    Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

    Published 2025-01-01
    “…The whole process automation framework was built by Python script to realize the intelligent processing from parameter reading, automatic generation of 500 groups of INP files to the submission of batch calculations and extraction of ODB results. Based on the above method, the random field numerical model of geocell-reinforced soil retaining wall was successfully established, and the probability distribution characteristics of horizontal displacement and vertical settlement of the retaining wall were obtained through large-scale stochastic simulation, and the corresponding cumulative distribution function was constructed. …”
    Get full text
    Article
  7. 67
  8. 68

    Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

    Published 2022-09-01
    “…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
    Get full text
    Article
  9. 69

    Student knowledge tracking based multi-indicator exercise recommendation algorithm by Bin ZHUGE, Zhenghu YIN, Wenxue SI, Lei YAN, Ligang DONG, Xian JIANG

    Published 2022-09-01
    “…Personalized exercise recommendation was an important topic in the era of education informatization, the forgetting laws of students in the learning process were ignored by the traditional problem recommendation algorithm, which failed to fully tap the students’ knowledge mastery level and the common characteristics of similar students, insufficient, could not reasonably promote students’ learning of new knowledge or help students find and fill omissions.In view of the above defects, a multi-index exercise recommendation method based on student knowledge tracking was proposed, which was divided into two modules: preliminary screening and re-filtering of exercises, focusing on the novelty, difficulty and diversity of exercise recommendation.Firstly, a knowledge probability prediction (SF-KCCP) model combined with students’ forgetting law was constructed to ensure the novelty of the recommended exercises.Then, students’ knowledge and concept mastery level was accurately excavated based on the dynamic key-value knowledge tracking (DKVMN) model to ensure that exercises of appropriate difficulty were recommended.Finally, the user-based collaborative filtering (UserCF) algorithm was integrated into the re-filtering module, and the similarity between student groups was used to achieve the diversity of recommendation results.The proposed method is demonstrated by extensive experiments to achieve better performance than some existing baseline models.…”
    Get full text
    Article
  10. 70

    PhotosNormandie, un projet collaboratif de redocumentarisation de sources patrimoniales iconographiques by Patrick Peccatte

    Published 2023-07-01
    “…The article describes the methods used during this activity and explains why the process can be described as re-documentarision of heritage sources.…”
    Get full text
    Article
  11. 71

    Determination of the binding and DK probability of the $$D^{*}_{s0}(2317)$$ D s 0 ∗ ( 2317 ) from the $$(\bar{D}\bar{K})^-$$ ( D ¯ K ¯ ) - mass distributions in $$\Lambda _{b}\righ... by Hai-Peng Li, Wei-Hong Liang, Chu-Wen Xiao, Ju-Jun Xie, Eulogio Oset

    Published 2025-06-01
    “…Given the fact that the $$\Lambda _{b}\rightarrow \Lambda _{c}\bar{D}^{0}K^{-}$$ Λ b → Λ c D ¯ 0 K - decay is already measured by the LHCb collaboration, it is expected that in the next runs with more statistics of the decay, these mass distributions can be measured with precision and the method proposed here can be used to determine the nature of the $$D^*_{s0}(2317)$$ D s 0 ∗ ( 2317 ) , which is still an issue of debate.…”
    Get full text
    Article
  12. 72

    China’s efforts on the CSEP and a retrospective case by Huaizhong Yu, Jingxue Zhang, Yue Liu, Yongxian Zhang, Chieh-Hung Chen, Rui Yan, Gang Li, Zeping Li, Yuchuan Ma, Zhengyi Yuan, Wen Yang, Donghui Jia, Binbin Zhao

    Published 2025-12-01
    “…China has established a Testing Center on the Collaboration for the Study of Earthquake Prediction (CSEP) for standardized evaluation of current earthquake prediction methods. …”
    Get full text
    Article
  13. 73

    Research on intra-day multi-objective operation control of distribution network system under quantum communication optimization by QIAN Hao, DONG Zhihui, XIANG Jundong, ZHENG Jiewen, TANG Zhipeng, GUO Qiang

    Published 2025-02-01
    “…By utilizing the high security, large capacity transmission, and strong anti-interference ability of quantum communication, we can solve the limitations of traditional communication methods in distribution network scheduling. On the basis of calculating power loss cost, collaborative control investment cost, and flexible load cost, this method constructs a multi-objective collaborative optimization model. …”
    Get full text
    Article
  14. 74

    APGCN-CF: A Spatio-Temporal-Aware Graph Convolutional Network Framework for Minor Agricultural Product Recommendation in Rural E-Commerce by Wenjin Hou, Ke Zhu, Pingzeng Liu, Honghua Jiang, Yan Zhang, Xinran Yu

    Published 2025-04-01
    “…APGCN-CF implements a multi-module architecture encompassing graph structure construction, convolution-based feature learning, user similarity-based candidate generation, and preference probability-driven precise recommendation. Comprehensive experimental evaluations conducted on real-world minor agricultural product datasets, featuring scallions and garlic as representative cases, demonstrate that APGCN-CF consistently outperforms existing state-of-the-art baseline methods across multiple performance metrics, including precision, recall, and F1-score. …”
    Get full text
    Article
  15. 75
  16. 76
  17. 77
  18. 78
  19. 79

    The epidemiology of adolescents living with perinatally acquired HIV: A cross-region global cohort analysis. by Collaborative Initiative for Paediatric HIV Education and Research (CIPHER) Global Cohort Collaboration, Amy L Slogrove, Michael Schomaker, Mary-Ann Davies, Paige Williams, Suna Balkan, Jihane Ben-Farhat, Nancy Calles, Kulkanya Chokephaibulkit, Charlotte Duff, Tanoh François Eboua, Adeodata Kekitiinwa-Rukyalekere, Nicola Maxwell, Jorge Pinto, George Seage, Chloe A Teasdale, Sebastian Wanless, Josiane Warszawski, Kara Wools-Kaloustian, Marcel Yotebieng, Venessa Timmerman, Intira J Collins, Ruth Goodall, Colette Smith, Kunjal Patel, Mary Paul, Diana Gibb, Rachel Vreeman, Elaine J Abrams, Rohan Hazra, Russell Van Dyke, Linda-Gail Bekker, Lynne Mofenson, Marissa Vicari, Shaffiq Essajee, Martina Penazzato, Gabriel Anabwani, Edith Q Mohapi, Peter N Kazembe, Makhosazana Hlatshwayo, Mwita Lumumba, Tessa Goetghebuer, Claire Thorne, Luisa Galli, Annemarie van Rossum, Carlo Giaquinto, Magdalena Marczynska, Laura Marques, Filipa Prata, Luminita Ene, Liubov Okhonskaia, Pablo Rojo, Claudia Fortuny, Lars Naver, Christoph Rudin, Sophie Le Coeur, Alla Volokha, Vanessa Rouzier, Regina Succi, Annette Sohn, Azar Kariminia, Andrew Edmonds, Patricia Lelo, Samuel Ayaya, Patricia Ongwen, Laura F Jefferys, Sam Phiri, Mwangelwa Mubiana-Mbewe, Shobna Sawry, Lorna Renner, Mariam Sylla, Mark J Abzug, Myron Levin, James Oleske, Miriam Chernoff, Shirley Traite, Murli Purswani, Ellen G Chadwick, Ali Judd, Valériane Leroy

    Published 2018-03-01
    “…We describe the geographic and temporal characteristics and mortality outcomes of APHs across multiple regions, including South America and the Caribbean, North America, Europe, sub-Saharan Africa, and South and Southeast Asia.<h4>Methods and findings</h4>Through the Collaborative Initiative for Paediatric HIV Education and Research (CIPHER), individual retrospective longitudinal data from 12 cohort networks were pooled. …”
    Get full text
    Article
  20. 80

    Visual Point Cloud Map Construction and Matching Localization for Autonomous Vehicle by Shuchen Xu, Kedong Zhao, Yongrong Sun, Xiyu Fu, Kang Luo

    Published 2025-07-01
    “…In the absence of satellite signals, we segment the prior VPCM on the road network based on real-time localization results, which accelerates matching speed and reduces mismatch probability. Simultaneously, by continuously introducing matching constraints of real-time point cloud and prior VPCM through improved iterative closest point matching method, the proposed solution can effectively suppress the drift error of the odometry and output accurate fusion localization results based on pose graph optimization theory. …”
    Get full text
    Article