Showing 5,781 - 5,800 results of 8,892 for search '((((peng OR eng) OR pin) OR (like OR fine)) OR (((espina OR espinoza) OR (bing OR bin)) OR min))', query time: 0.23s Refine Results
  1. 5781
  2. 5782
  3. 5783

    Are there advantages to believing in fate? the belief in negotiating with fate when faced with constraints by Au, Evelyn W. M., Savani, Krishna

    Published 2020
    “…Instead, when individuals face constraining circumstances in which potential courses of actions are clearly limited, they are more likely to believe that they are able to negotiate with fate, and this belief can help them move forward from negative outcomes. …”
    Get full text
    Journal Article
  4. 5784

    Facies analysis and depositional model of the middle-upper triassic Semantan formation, Central Pahang, Malaysia by Muhammad Azfar, Mohamed, Mazshurraiezal, Nasir, Mohd Syukri, Said, Meng, Choongchee, Mohamad Shaufi, Sokiman, Nur Asyraf, Md Akhir, Muhammad Aslam, Md Yusof, Muhammad Noor Amin, Zakariah, Mohd Nizam, Abdul Rashid, Salahuddin, Husein, Noorzamzarina, Sulaiman, Afiq Naim, Mohd

    Published 2022
    “…Seven (F1-7) facies have been identified which are; F1) poorly sorted conglomerate, F2) pebbly sandstone, F3) structureless-to-parallel laminated sandstone, F4) wavy-to-ripple fine-to-medium laminated sandstone, F5) slumped thin-interbeded sandstone and shale, F6) interbedded sandstone and shale, and F7) shale, represent a subordinate part of the Semantan Formation. …”
    Get full text
    Get full text
    Article
  5. 5785

    Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

    Published 2025
    “…The K-fold cross-validation method was employed to fine-tune the hyperparameters of the ML models. Compared to other ML models, the artificial neural networks (ANN) model showed an outstanding rating of performance evaluation metrics, including R2, MSE, RMSE, and MRE. …”
    Get full text
    Article
  6. 5786

    Surface Compositions of Trojan Asteroids by Emery, Joshua P., Binzel, Richard P., Britt, Daniel T., Brown, Michael E., Howett, Carly J. A., Martin, Audrey C., Melita, Mario D., Souza-Feliciano, Ana Carolina, Wong, Ian

    Published 2024
    “…Mid-infrared emissivity spectra reveal the presence of fine-grained anhydrous silicates on the surfaces. …”
    Get full text
    Article
  7. 5787

    Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data by Xu, Xuhai, Yao, Bingsheng, Dong, Yuanzhe, Gabriel, Saadia, Yu, Hong, Hendler, James, Ghassemi, Marzyeh, Dey, Anind K., Wang, Dakuo

    Published 2024
    “…We conduct a broad range of experiments, covering zero-shot prompting, few-shot prompting, and instruction fine-tuning. The results indicate a promising yet limited performance of LLMs with zero-shot and few-shot prompt designs for mental health tasks. …”
    Get full text
    Article
  8. 5788

    A multi-view context-aware approach to Android malware detection and malicious code localization by Narayanan, Annamalai, Chandramohan, Mahinthan, Chen, Lihui, Liu, Yang

    Published 2020
    “…Besides multi-view learning, MKLDroid’s unique and salient trait is its ability to locate fine-grained malice code portions in dependency graphs (e.g., methods/classes). …”
    Get full text
    Journal Article
  9. 5789

    Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation by Lai, Lvlong, Chen, Jian, Zhang, Chi, Zhang, Zehong, Lin, Guosheng, Wu, Qingyao

    Published 2022
    “…With our proposed approach, fine-tuning, a weak baseline method for few-shot segmentation, gains significant performance improvement (e.g., 7.48% and 7.04% in 2-way-1-shot and 3-way-1-shot tasks of S3DIS, respectively) and outperforms current state-of-the-art methods in all the task settings of S3DIS and ScanNet benchmark datasets.…”
    Get full text
    Journal Article
  10. 5790

    Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks by Chakraborty, Debasrita, Goswami, Debayan, Ghosh, Susmita, Ghosh, Ashish, Chan, Jonathan H., Wang, Lipo

    Published 2023
    “…A study is conducted by building four models pre-trained on COVID-19 data from four different countries (United States of America, Brazil, Spain, and Bangladesh) and fine-tuned on India's data. Since the four countries chosen have experienced different types of infection curves, the pre-training provides a transfer learning to the models incorporating diverse situations into account. …”
    Get full text
    Journal Article
  11. 5791

    Hierarchical skeleton Meta-Prototype Contrastive learning with hard skeleton mining for unsupervised person re-identification by Rao, Haocong, Leung, Cyril, Miao, Chunyan

    Published 2023
    “…Firstly, we construct hierarchical representations of skeletons to model coarse-to-fine body and motion features from the levels of body joints, components, and limbs. …”
    Get full text
    Journal Article
  12. 5792

    Full-spectrum out-of-distribution detection by Yang, Jingkang, Zhou, Kaiyang, Liu, Ziwei

    Published 2023
    “…These new benchmarks have a more fine-grained categorization of distributions (i.elet@tokeneonedot, training ID, covariate-shifted ID, near-OOD, and far-OOD) for the purpose of more comprehensively evaluating the pros and cons of algorithms. …”
    Get full text
    Journal Article
  13. 5793

    Unsupervised land-use change detection using multi-temporal POI embedding by Yao, Yao, Zhu, Qia, Guo, Zijin, Huang, Weiming, Zhang, Yatao, Yan, Xiaoqin, Dong, Anning, Jiang, Zhangwei, Liu, Hong, Guan, Qingfeng

    Published 2024
    “…In addition, our model can effectively identify areas with unchanged land use and land use changes in residential and industrial areas at a fine scale.…”
    Get full text
    Journal Article
  14. 5794

    Bitstream-corrupted JPEG images are restorable: two-stage compensation and alignment framework for image restoration by Liu, Wenyang, Wang, Yi, Yap, Kim-Hui, Chau, Lap-Pui

    Published 2024
    “…The GCA leverages the extracted low-resolution thumbnail from the JPEG header to guide full-resolution pixel-wise image restoration in a coarse-to-fine manner. It is achieved by a coarse-guided pix2pix network and a refine-guided bi-directional Laplacian pyramid fusion network. …”
    Get full text
    Conference Paper
  15. 5795

    Compositionally tuned hybridization of n-type Ag0: Ag2Se under ambient conditions towards excellent thermoelectric properties at room temperature by Tee, Si Yin, Ponsford, Daniel, Tan, Xian Yi, Wang, Xiaobai, Lay, Chee Leng, Lee, Coryl Jing Jun, Ni, Xi Ping, Seng, Debbie Hwee Leng, Thitsartarn, Warintorn, Guan, Guijian, Han, Ming-Yong

    Published 2024
    “…This strategy enables fine control over phases and compositions through nanoscale hybridization using silver nanoparticles for the first time, yet remains applicable to large-scale production methods. …”
    Get full text
    Journal Article
  16. 5796

    Development of a vision-based gesture human-computer interface by Lim, Chun Ping.

    Published 2010
    “…The VG HCI system was subjected to a series of performance evaluation experiments and the system’s parameters were fine tuned with insights gained from the experiments. …”
    Get full text
    Final Year Project (FYP)
  17. 5797

    Instrumentation challenges of a pushbroom hyperspectral imaging system for currency counterfeit applications by Lim, Hoong-Ta, Murukeshan, Vadakke Matham

    Published 2018
    “…The high spectral resolution of a pushbroom imager is able to capture fine spectral details of the samples used in this research, providing important information required for classification. …”
    Get full text
    Get full text
    Conference Paper
  18. 5798
  19. 5799

    Distribution and cycling of terrigenous dissolved organic carbon in peatland-draining rivers and coastal waters of Sarawak, Borneo by Martin, Patrick, Cherukuru, Nagur, Tan, Ashleen S. Y., Sanwlani, Nivedita, Mujahid, Aazani, Müller, Moritz

    Published 2018
    “…DOC and CDOM showed conservative mixing with seawater except in the largest river (the Rajang), where DOC concentrations in the estuary were elevated, most likely due to inputs from the extensive peatlands within the Rajang Delta. …”
    Get full text
    Get full text
    Journal Article
  20. 5800