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Showing 1,241 - 1,260 results of 1,341 for search '(( drying methods) OR ( learning methods))', query time: 0.11s Refine Results
  1. 1241

    Effect on growth performance and nutritive value of cultivated azolla filiculoides as an alternative feedstuff for ruminant by Hamidan, Mohammad Fitri Rimi, Mohd Nadzir, Mohd Noor Hisham, Shohaimi, Shamarina, Bidin, Habsah, Samat, Noraini

    Published 2024
    “…The optimised type of fertiliser and concentration in Study 1 were further adopted in Study 2 to evaluate the effect of different fertiliser processing methods on the growth performance, nutritive value and in vitro rumen digestibility of A. filiculoides upon cultivation. …”
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    Article
  2. 1242

    Suppressing condensation frosting using micropatterned ice walls by Zuo, Zichao, Zhao, Yugang, Li, Kang, Zhang, Hua, Yang, Chun

    Published 2024
    “…In latest decades, both active de-frosting and passive anti-frosting methods have been developed. In this work, we adopt the concept of three-dimensional overlapping dry zones by patterning microscopic ice walls on a smooth substrate, engendering a sustainable frost coverage of less than 13 %. …”
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    Journal Article
  3. 1243

    Factor modeling for clustering high-dimensional time series by Zhang, Bo, Pan, Guangming, Yao, Qiwei, Zhou, Wang

    Published 2023
    “…We propose a new unsupervised learning method for clustering a large number of time series based on a latent factor structure. …”
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    Journal Article
  4. 1244

    Effectiveness of forward freight agreements in mitigating handymax bulk ship-owners’ business risks between 2006 and 2015 by Chow, Lai Wan

    Published 2017
    “…This paper aims to evaluate the effectiveness of using FFA as a hedging tool to mitigate shipowners’ business risk in the Handymax dry bulk market, from 2006 to 2015. Firstly, the paper discusses extensively on the various risks faced by a shipowner. …”
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    Final Year Project (FYP)
  5. 1245

    Detection of low frequency artemisinin resistance mutations, C469Y, P553L and A675V, and fixed antifolate resistance mutations in asymptomatic primary school children in Kenya by Osoti, V, Wamae, K, Ndwiga, L, Gichuki, PM, Okoyo, C, Kepha, S, Keitany, K, Kandie, R, Aricha, S, Kiplagat, R, Mwandawiro, C, Bejon, P, Snow, RW, Ochola-Oyier, LI

    Published 2025
    “…A total of 920 dried blood spot (DBS) samples collected from 121 selected primary schools within the country were used to extract genomic DNA. …”
    Journal article
  6. 1246

    Antibacterial effect of ethanolic Gnetum gnemon L. leaf extract on food-borne pathogens and its application as a natural preservative on raw quail eggs by Trisha, Mansura Rahman, Deavyndra Gunawan, Vyenna, Wong, Jun Xian, Pak Dek, Mohd Sabri, Rukayadi, Yaya

    Published 2024
    “…The antimicrobial activity of EGLE was evaluated using multiple methods, including the well diffusion assay (WDA), minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC), and time-kill assay. …”
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    Article
  7. 1247
  8. 1248

    Modeling, air balancing and optimal pressure set-point selection for the ventilation system with minimized energy consumption by Jing, Gang, Cai, Wenjian, Zhang, Xin, Cui, Can, Yin, Xiaohong, Xian, Huacai

    Published 2021
    “…The resulting model was then used as the basis for development of a damper position control method and to determine the damper position, given a desired airflow rate. …”
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    Journal Article
  9. 1249

    Computational cell fate modelling for discovery of rewiring in apoptotic network for enhanced cancer drug sensitivity by Chua, Huey Eng, Zhang, Fan, Zheng, Jie, Mishra, Shital Kumar, Bhowmick, Sourav Saha

    Published 2015
    “…Here we propose a hybrid modelling approach based on ordinary differential equation (ODE) and machine learning to map network rewiring in the apoptotic pathways that may be responsible for the increase of drug sensitivity of tumour cells in triple-negative breast cancer. …”
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    Journal Article
  10. 1250

    LaCNet : real-time end-to-end arbitrary-shaped lane and curb detection with instance segmentation network by Zhou, Hui, Wang, Han, Zhang, Handuo, Hasith, Karunasekera

    Published 2021
    “…This paper presents a unified network to incorporate these two tasks together by taking advantage of the powerful feature learning ability brought by deep convolutional neural networks. …”
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    Conference Paper
  11. 1251

    HDSKG: Harvesting domain specific knowledge graph from content of webpages by Zhao, Xuejiao, Xing, Zhenchang, Kabir, Muhammad Ashad, Sawada, Naoya, Li, Jing, Lin, Shang-Wei

    Published 2017
    “…We incorporate the dependency parser with rule-based method to chunk the relations triple candidates, then we extract advanced features of these candidate relation triples to estimate the domain relevance by a machine learning algorithm. …”
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    Conference Paper
  12. 1252

    Enhancing driver fatigue detection accuracy in on-road driving systems using an LSTM-DNN hybrid model with modified Z-Score and morlet wavelet by Rafiuddin, Abdubrani, Mahfuzah, Mustafa, Zarith Liyana, Zahari

    Published 2024
    “…This research paper introduces an innovative method for detecting driver fatigue using electroencephalogram (EEG) signals, enhanced by the Morlet mother wavelet and modified z-score feature. …”
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    Conference or Workshop Item
  13. 1253
  14. 1254

    A robust 6-D pose tracking approach by fusing a multi-camera tracking device and an AHRS module by Wang, Zengwei, Dai, Houde, Zeng, Yadan, Lueth, Tim C.

    Published 2022
    “…This study furnishes a novel implementation method for the full 6-D pose tracking with a simplified tracker structure and improved accuracy, continuity, and stability.…”
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    Journal Article
  15. 1255

    The chronic cerebral hypoperfusion model induces proinflammatory cascades in Alzheimer's disease by Abedi, Zahra, Basri, Hamidon, Hassan, Zurina, Inche Mat, Liyana Najwa, Khaza’ai, Huzwah, Mohd Ali, Razana

    Published 2024
    “…Two weeks post-surgery, locomotor and Morris water maze (MWM) tests were conducted to examine motor functions, spatial learning, and memory, respectively. The gene expression levels of cathepsin B, NLRP3, an apoptosis-associated speck-like protein containing a caspase recruitment domain (ASC), and caspase-1 were analysed using real-time PCR, while the expression levels of the inflammatory cytokines were estimated using the ELISA method. …”
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    Article
  16. 1256

    Multi-species rotational grazing of small ruminants regenerates undergrowth vegetation while controlling weeds in the oil palm silvopastoral system by Tohiran, Kamil Azmi, Nobilly, Frisco, Zulkifli, Raja, Yahya, Muhammad Syafiq, Norhisham, Ahmad Razi, Rasyidi, Md Zainal, Azhar, Badrul

    Published 2023
    “…OBJECTIVE Present study examined the effects of small ruminant grazing (i.e., goats, sheep and multi-species) on undergrowth vegetation with the following specific objectives: 1) to investigate the effects of small ruminant grazing treatments on undergrowth vegetation composition in oil palm plantations; 2) to examine the variables (canopy cover, grazing treatments, and cycles) that influenced undergrowth vegetation (species richness, coverage, height, and dry weight) in oil palm plantations. METHODS We established quadrats on experimental plots to detect changes in undergrowth vegetation composition, species diversity, coverage, height, and dry weight resulting from different grazing treatments. …”
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    Article
  17. 1257
  18. 1258

    AI based failure analysis for one type of switch gears in power systems by Zhang, Qingquan

    Published 2023
    “…DBN is a kind of deep network based on finite Boltzmann machine, which has powerful performance of expression and promotion. This method can deeply learn and model high-dimensional data and improve the accuracy and efficiency of error diagnosis. …”
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    Thesis-Master by Coursework
  19. 1259

    Reconciling Bayesian and perimeter regularization for binary inversion by Dunbar, Oliver R. A., Dunlop, Matthew M., Elliott, Charles M., Hoang, Viet Ha, Stuart, Andrew M.

    Published 2021
    “…In this paper the link between Bayesian inversion methods and perimeter regularization is explored. …”
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    Journal Article
  20. 1260

    Empowering animals through technology: enhancing animal agency in the sound environment by French, Fiona, Potkin, Dominique, Evans, Neil, Hirskyj-Douglas, Ilyena, Jalali, Azadeh, Kleinberger, Rébecca, Kriengwatana, Pralle, Nager, Ruedi, Serah Iyasere, Oluwaseun, Shafiei Sabet, Saeed, Spierings, Michelle

    Published 2024
    “…As we learn more about how cognition, behaviour, health and welfare of animals can be impacted by sound, understanding how sound environments affect different species has become a topic of high importance. …”
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    Conference or Workshop Item