Showing 4,221 - 4,240 results of 5,787 for search '(((spine OR sespie) OR (fine OR line)) OR (((eng OR (swing OR sheng)) OR pingat) OR pin))', query time: 0.18s Refine Results
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    Information systems, software engineering and intelligent systems by Chai, Quek, Graham, Leedham Charles, Lau, Chiew Tong, Lim, Ee Peng

    Published 2008
    “…The objective is to provide funding for the training of graduate students (M.Eng. and Ph.D.) and Research fellows in the area of information systems, software engineering and intelligent systems.…”
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    Research Report
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  14. 4234

    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. …”
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    Article
  15. 4235

    Current and future challenges of hybrid electrochemical-mechanical machining process for micro- and nano-manufacturing by Ahmad Shahir, Jamaludin, Mohd Nizar, Muhd Razali, Nurul Nadia, Nor Hamran, Mohd Zairulnizam, Mohd Zawawi, Mohd Amran, Md Ali

    Published 2024
    “…Through empirical, analytical, and numerical optimization methods, HEMM’s performance can be fine-tuned to meet specific requirements. Its applications span various fields, from microfluidics and micro-optics to aerospace and biomedical devices, underscoring its transformative potential in contemporary manufacturing. …”
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    Conference or Workshop Item
  16. 4236

    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. …”
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    Article
  17. 4237

    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. …”
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    Article
  18. 4238

    Dominant contribution of oxygenated organic aerosol to haze particles from real-time observation in Singapore during an Indonesian wildfire event in 2015 by Budisulistiorini, Sri Hapsari, Riva, Matthieu, Williams, Michael, Miyakawa, Takuma, Chen, Jing, Itoh, Masayuki, Surratt, Jason D., Kuwata, Mikinori

    Published 2019
    “…Simultaneously, we characterized carbonaceous components and organic aerosol (OA) tracers from fine PM (PM2.5) samples to support source apportionment of the online measurements. …”
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    Journal Article
  19. 4239

    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). …”
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    Journal Article
  20. 4240

    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.…”
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    Journal Article