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  1. 121

    Effects of contrast enhanced positron emission tomography/computed tomography in cancer imaging by Mahmud, Mohd Hafizi

    Published 2015
    “…The mean SUVmax of all observed lesions was determined and the SUVmax of liver was statistically associated with several biological and procedural related factors. …”
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    Thesis
  2. 122

    Dynamic and regression modeling of ocean variability in the tide-gauge record at seasonal and longer periods by Hill, Emma M., Davis, James L., Ponte, Rui M.

    Published 2012
    “…Comparison of monthly mean tide-gauge time series to corresponding model time series based on a static inverted barometer (IB) for pressure-driven fluctuations and a ocean general circulation model (OM) reveals that the combined model successfully reproduces seasonal and interannual changes in relative sea level at many stations. …”
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    Journal Article
  3. 123

    A comparison of soil sampling procedures used to monitor soil fertility in permanent pastures by Friesen, DK, Blair, GJ

    Published 1984
    “…The number of grid samples required to estimate within 10% of the mean varied from 121 for Bray-1 P down to 1 for soil pH. …”
    Article
  4. 124

    Unsupervised learning based performance analysis of n-support vector regression for speed prediction of a large road network by Asif, M. T., Oran, A., Fathi, E., Xu, M., Dhanya, M. M., Mitrovic, N., Jaillet, P., Dauwels, Justin, Goh, Chong Yang

    Published 2013
    “…The traditional performance measures such as mean absolute percentage error (MAPE) and root mean square error (RMSE) provide little insight into spatial and temporal characteristics of prediction methods for a large network. …”
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    Conference Paper
  5. 125

    Development of food commodity price forecasting model as an early warning system with a multivariate time series clustering by Sumertajaya, I Made, Rohaeti, Embay, Fitrianto, Anwar, P., Windhiarso Ponco Adi

    Published 2024
    “…The forecasting evaluation results show good accuracy with Root Mean Square Error (RMSE) scores below IDR 1000.00 in most cases, which is equivalent to Mean Absolute Percentage Error (MAPE) scores below 10%. …”
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    Article
  6. 126

    Wireless Sensor Network for Internet of Things Facility Management (IoT-FM) environment sensing by Guan, Jun Liang

    Published 2020
    “…Also, PM2.5 had a better K-means clustering and silhouette coefficient of 0.627. …”
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    Final Year Project (FYP)
  7. 127

    Food choice motivations and perceptions of healthy eating: a cross-sectional study among consumers in the UAE by Cheikh Ismail, L, Osaili, TM, Obaid, RS, Hashim, M, Ahmed, M, Al-Fayadh, F, Farah, A, Sad, H, Alghanem, H, Mohamad, MN, Saleh, ST, Al Daour, R, Masuadi, E, Stojanovska, L, Ali, HI, Al Dhaheri, AS

    Published 2025
    “…Hierarchical Cluster Analysis (HCA) and K-means cluster analysis were used to identify and determine the optimal number of clusters. …”
    Journal article
  8. 128

    The effect of using individual self-guided Breathing controlled with imagery Training among novice and skill athletes by Roslan, Siti Raihanah

    Published 2016
    “…For SA, the mean score change from 370.00during pre-test to 503.85during post-test. …”
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    Monograph
  9. 129

    A renewal-equation approach to estimating Rt and infectious disease case counts in the presence of reporting delays by Bajaj, S, Thompson, R, Lambert, B

    Published 2025
    “…During infectious disease outbreaks delays in case reporting mean that the time series of cases is unreliable, particularly for those cases occurring most recently. …”
    Journal article
  10. 130

    Door to door service by shipping lines : theory and practice by Ong, Xue Ling.

    Published 2009
    “…This paper examines Singapore shippers’ expectations on door-to-door service attributes and compares these service attributes to container shipping lines’ understanding of these expectations to determine if a perceptual gap exists. This is done by means of a review of previous studies, personal interviews and survey questionnaires. …”
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    Final Year Project (FYP)
  11. 131

    Measuring the performances of covariates using exponential survival analysis with partly-interval censored simulation data by Muhamad Jamil, Siti Afiqah, Lai, Jessintha, Abdullah, Mohd Asrul Affendi

    Published 2024
    “…This paper aims at proposing the partly-interval censored data into the fixed and time-varying covariates and measure the performances of Exponential survival distribution using mean square error (MSE), mean bias error (MBE), mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) and standard error. …”
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    Conference or Workshop Item
  12. 132

    Machine Learning For Dummies / by Mueller, John Paul, author 321669, Massaron, Luca, author 617095, John Wiley & Sons (Online service) 647106

    Published 2021
    “…While machine learning expertise doesn't quite mean you can create your own Turing Test-proof android - as in the movie Ex Machina- it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. …”
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    software, multimedia
  13. 133

    A new method for the control of size of pellets in the melt pelletization process with a high shear mixer by Heng, Paul Wan Sia, Wong, Tin Wui, Shu, Jian Jun, Wan, Lucy Sai Cheong

    Published 2011
    “…The effects of binder concentration, mean particle size of bulk material and post-melt impeller speed on the relationship of specific energy consumption and pellet growth were examined. …”
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    Journal Article
  14. 134

    Environmental and human data-driven model based on machine learning for prediction of human comfort by Mao, Fubing, Zhou, Xin, Song, Ying

    Published 2020
    “…The comparison results show that the SVR-RBF has the best performance for comfort prediction according to the mean squared error, mean absolute error and R-squared score.…”
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    Journal Article
  15. 135

    Gaussian message passing for overloaded massive MIMO-NOMA by Liu, Lei, Yuen, Chau, Guan, Yong Liang, Li, Ying, Huang, Chongwen

    Published 2020
    “…Second, the means of the traditional GMP will fail to converge when Nu/Ns (2-1-25.83. …”
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    Journal Article
  16. 136

    Lasso environment model combination for robust speech recognition by Xiao, Xiong, Li, Jinyu, Chng, Eng Siong, Li, Haizhou

    Published 2013
    “…Model combination is a common way to adapt acoustic models to a target test environment. For example, the mean supervectors of the adapted model are obtained as a linear combination of mean supervectors of many pre-trained environment-dependent acoustic models. …”
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    Conference Paper
  17. 137

    Investigating spatio-temporal variability of initial ²³⁰Th/²³²Th in intertidal corals by Chiang, Hong-Wei, Philibosian, Belle, Meltzner, Aron J., Wu, Chung-Che, Shen, Chuan-Chou, Edwards, R. Lawrence, Chuang, Chih-Kai, Suwargadi, Bambang W., Natawidjaja, Danny H.

    Published 2023
    “…Here we present 66 reconstructed U–Th isochrons of modern and Holocene Porites lutea and lobata corals from throughout the Sumatran forearc islands (SFI). Mean square of weighted deviates (MSWD) is used to evaluate the variabilities of 28 location-specific 230Th/232Th0 values before the regional mean. …”
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    Journal Article
  18. 138

    Implementation of occupational safety and health management system in reducing ergonomic risk among certified and uncertified automotive industry workers by Ikpegbu, Mavis Amarachi

    Published 2015
    “…OSHMS provides a set of tools that enhance safety, risk management efficiency related to all organization’s activity, it is a systematic means for employers to handle challenges and reduce haphazard attitudes to risk and problems in the work environment. …”
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    Thesis
  19. 139

    A systematic review of transanal total mesorectal excision: is this the future of rectal cancer surgery? by Simillis, C, Hompes, R, Penna, M, Rasheed, S, Tekkis, PP

    Published 2016
    “…The mean operation time ranged from 143 to 450 min and mean operative blood loss from 22 to 225 ml. …”
    Journal article
  20. 140

    Aeration slab study volume 2 by Rahardjo, Harianto, Indrawan, I Gde Budi, Fakhrur, Rozy Harnas

    Published 2016
    “…Temperatures under the turf cover were relatively stable and always lower as compared to those under the asphalt pavement and aeration slab. The mean temperatures for soil underneath the aerations slab were 32.3"C for both 0.125 m and 0.25 m depths whereas the mean temperatures for soil underneath the asphalt pavement were 36.2"C and 35.7°C for 0.125m and 0.25 m depth, respectively. …”
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    Research Report