Showing 25,261 - 25,280 results of 26,161 for search '"Machines"', query time: 0.14s Refine Results
  1. 25261

    Shear bond strength of orthodontic adhesives on different tooth types: an in vitro study by Radzi, Z., Yahya, N.A., Abu Kasim, N.H., Ismail, N.H., Ismail, N., Zamzam, N.

    Published 2006
    “…The debonding force was measured using Instron universal testing machine. ANOVA and Post Hoc Dunnett C test were performed to determine any significant difference among groups (p<0.05). …”
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    Article
  2. 25262

    Fracture strength and fractographic analysis of zirconia copings treated with four experimental silane primers by Mustafa, A.A., Matinlinna, J.P., Choi, A.H., Razak, A.A.A.

    Published 2013
    “…constant crosshead speed of 1mm/min. Then, the machine ?was manually controlled to cause more failure ?…”
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    Article
  3. 25263

    Four class emotion classifcation in virtual reality using pupillometry by Lim, Jia Zheng, James Mountstephens, Jason Teo

    Published 2020
    “…Three classifers were used for the emotion classifcation which are Support Vector Machine (SVM), k-Nearest Neighbor (KNN), and Random Forest (RF). …”
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    Article
  4. 25264

    Modeling time series data using Genetic Algorithm based on Backpropagation Neural network by Haviluddin

    Published 2018
    “…The second objective is to compare the performances of machine learning (ML) techniques (e.g., BPNN and GA) with the statistical techniques (e.g., autoregressive integrated moving average (ARIMA)) in learning time series data. …”
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    Thesis
  5. 25265

    Solar irradiation prediction using empirical and artificial intelligence methods: A comparative review by Faisal Nawab, Ag. Sufiyan Abd Hamid, Adnan Ibrahim, Kamaruzzaman Sopian, Ahmad Fazlizan, Mohd Faizal Fazuzan

    Published 2023
    “…Artificial neural networks (ANN) and Hybrid models have the highest accuracy among AI methods, followed by support vector machine (SVM) and adaptive neuro-fuzzy inference system (ANFIS). …”
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    Article
  6. 25266

    Forensic age estimation in living children: how accurate is the Greulich-Pyle method in Sabah, East Malaysia? by Khin Mya Nang, Abdul Jabbar Ismail, Anithaa Tangaperumal, Aye Aye Wynn, Tin Tin Thein1, Firdaus Hayati, Yong Guang Teh

    Published 2023
    “…Our findings suggest that locally validated GP Atlas or other type of assessments (artificial intelligence or machine learning) are needed for assessment of BA to accurately predict CA, since current GP Atlas standards significantly underestimated chronological age with minimal error for children in Sabah. …”
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    Article
  7. 25267

    Desertification prediction with an integrated 3D convolutional neural network and cellular automata in Al-Muthanna, Iraq by Aldabbagh, Yasir Abdulameer Nayyef, Mohd Shafri, Helmi Zulhaidi, Mansor, Shattri, Ismail, Mohd Hasmadi

    Published 2022
    “…In mapping, assessing, and predicting desertification, remote sensing and geospatial solutions (spatial analysis, machine learning) are crucial. During 1998–2018, this study employed satellite images from Landsat TM, ETM + , and OLI to map and predict desertification in the Al-Khidhir district. …”
    Article
  8. 25268

    Pretreatments of oil palm frond using pressing technique and enzyme extract from Ganoderma lucidum improve growth performance of goats by Rusli, Nor Dini, Mat, Khairiyah, Mohd Azmi, Amirul Faiz, Abdul Ghani, Ahmad Afifi, Abdul Kari, Zulhisyam, Yusof, Mohd Termizi, Abu Hassim, Hasliza

    Published 2023
    “…The dietary regimens included: Diet A, comprising 70% Napier grass and 30% concentrate(CON); Diet B with 50% Napier grass, 30% concentrate, and 20% untreated OPF(UNT); Diet C containing 50% Napier grass, 30% concentrate, and 20% OPF subjected to physical pretreatment via a sugarcane pressing machine(POF); Diet D with 50% Napier grass, 30% concentrate, and 20% OPF pre-treated biologically using enzyme extract from white rot fungi(BOF); and Diet E consisting of 50% Napier grass, 30% concentrate, and 20% OPF subjected to both physical and biological pretreatments(COF). …”
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    Conference or Workshop Item
  9. 25269

    Near-infrared spectroscopy modeling of combustion characteristics in chip and ground biomass from fast-growing trees and agricultural residue by Shrestha, Bijendra, Posom, Jetsada, Pornchaloempong, Pimpen, Sirisomboon, Panmanas, Shrestha, Bim Prasad, Ariffin, Hidayah

    Published 2024
    “…However, including more representative samples and exploring a more suitable machine learning algorithm are essential for updating the model to achieve a better nondestructive assessment of biomass combustion behavior.…”
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    Article
  10. 25270

    The Impact of Starting Positions and Breathing Rhythms on Cardiopulmonary Stress and Post-Exercise Oxygen Consumption after High-Intensity Metabolic Training: A Randomized Crossove... by Li, Yuanyuan, Wang, Jiarong, Li, Yuanning, Li, Dandan

    Published 2024
    “…A two-way ANOVA, multi-variable Cox regression, and random survival forest machine learning algorithm were used to conduct the statistical analysis. …”
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    Article
  11. 25271

    Reading Human Subjectivity In Selected Contemporary Science Fiction Texts by Ismail @ Hamdan, Shahizah

    Published 2010
    “…As such this research finds that firstly, subjectivity, characteristically fluid and continuously being renegotiated in its contact with technology, is influenced and determined by the body be it organic and/or machine in humanity’s quest for longevity. Secondly, technology transforms human subjectivity into a notion that is predominantly material-imagined as the body becomes significantly important almost simultaneously as the mind loses its primacy. …”
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    Thesis
  12. 25272

    Improvement of Rice Straw Hydrolysate Preparation for Bioethanol Production Using Saccharomyces Cerevisiae ATCC 24860 by Roslan, Ahmad Muhaimin

    Published 2011
    “…The first stage is pretreatment, where improvements on existing pretreatment technologies were studied, without chemical treatment. Wet disc milling machine was used with the addition of water to the rice straw prior the milling process involving rotating grinding stones. …”
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    Thesis
  13. 25273

    Geotechnical and geological studies of NWCT tunnel in Iran focusing on the stabilization analysis and design of support: a case study by Ghiasi, Vahed, Omar, Husaini, Rostami, Jamal, Md Yusoff, Zainuddin, Ghiasi, Samad, Kim Huat, Bujang, Muniandy, Ratnasamy

    Published 2011
    “…It is proposed to be constructed by telescopic shield method using a tunnel boring machine (TBM). In this study, the most suitable methods are utilized for the stability analysis and design of support of the tunnel. …”
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    Article
  14. 25274

    Studying the effect of fiber size and fiber loading on the mechanical properties of hybridized kenaf/PALF-reinforced HDPE composite by Aji, Isuwa Suleiman, Zainudin, Edi Syams, Abdan, Khalina, Salit, Mohd Sapuan, Mohd Dahlan, Khairul Zaman

    Published 2011
    “…The tensile and flexural specimens were tested according to ASTM D638 and ASTM D790 using a 5-kN INSTRON bluehill universal testing machine accordingly. While a notched Izoid impact test was conducted using a 1-J universal pendulum according to ASTM D256. …”
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    Article
  15. 25275

    Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale by Jebur, Mustafa Neamah, Pradhan, Biswajeet, Tehrany, Mahyat Shafapour

    Published 2014
    “…Three different types of models such as weights-of-evidence (WoE) (bivariate statistical analysis), logistic regression (LR) (multivariate statistical analysis), and data-driven support vector machine (SVM) were used to determine the optimal landslide conditioning factors. …”
    Article
  16. 25276

    Enhance efficiency of answering XML keyword query using incompact structure of MCCTree by Sazaly, Ummu Sulaim

    Published 2012
    “…Extended Markup Language (XML) has been chosen as the most important data sharing medium as it is very friendly for human and machine to interpret. Due to the importance of it, many studies have been done to increase the effectiveness of retrieving information from XML file. …”
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    Thesis
  17. 25277

    Design and Fabrication of Batio3 Humidity Sensor Using Thick Film Screen Printing Technique by Wan Zaki, Wan Suhaimizan

    Published 2006
    “…The paste was then screen printed onto a ceramic substrate in an interdigitated electrode pattern using DEK J1202 screen printing machine. The dielectric property of BaTiO3 was investigated by varying the frequency in the range of 10Hz to 10 MHz using the Impedance Analyzer. …”
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    Thesis
  18. 25278

    Geometrical and dimensional defect evaluation of cold forged AA6061 propeller blade by Abdullah, Ahmad Baharuddin

    Published 2013
    “…The coordinate measurement machine was used to validate the result. This study will contribute to the development of effective evaluation method in the noncontact measurement of geometrical and dimensional defect of component with complex profile such as the propeller blade.…”
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    Thesis
  19. 25279

    Synthesis and fabrication of nanocomposite magnesia doped barium strontium titanate for thick film humidity sensor by Farahani, Hamid Barzabadi

    Published 2013
    “…The thick film inks were prepared by mixing appropriate ratio of an organic vehicle and heat treated nanocomposites, and screen printed onto an alumina substrate utilizing DEK-J1202RS automatic machine. The surface morphology and electrical properties of the nano grains and developed thick film specimens were studied. …”
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    Thesis
  20. 25280

    Safety climate in the Malaysian furniture industry by Ooi, Chung Hun

    Published 2012
    “…This study defines the structure of the safety climate as perceived by the workers and correlations between the safety climate and safety practice of the company, the safety level of the working environment with particular emphasis on dust, safety in wood machining operations, noise level and waste disposal in the Malaysian furniture industry, using a structure questionnaire and data from the SOCSO. …”
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    Thesis