Showing 101 - 120 results of 1,162 for search '(((fair OR air) OR (airy OR pair)) OR ((farms OR farm) OR aims)) 40', query time: 0.18s Refine Results
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    Machine learning-based approach to wind turbine wake prediction under yawed conditions by Gajendran, Mohan Kumar, Ijaz Fazil Syed Ahmed Kabir, Vadivelu, Sudhakar, Ng, Eddie Yin Kwee

    Published 2024
    “…While the model demonstrates remarkable precision in predicting wake deflection and velocity deficit at both the wake center and hub height, it shows a slight deviation at low downstream distances, which is less critical to our focus on large wind farm design. Nonetheless, our approach sets the stage for advancements in academic research and practical applications in the wind energy sector by providing an accurate and computationally efficient tool for wind farm optimization. …”
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    Journal Article
  3. 103

    Serological prevalence of leptospiral infection in domestic animals in West Malaysia by Bahaman, A. R., Ibrahim, A. L., Adam, H.

    Published 1987
    “…A majority of the large (semi-intensive) cattle and buffalo farms demonstrated a high prevalence of leptospiral infection. …”
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    Article
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    Artificial intelligence model for monitoring biomass growth in semi-batch Chlorella vulgaris cultivation by Peter, Angela Paul, Chew, Kit Wayne, Pandey, Ashok, Lau, Sie Yon, Rajendran, Saravanan, Ting, Huong Yong, Munawaroh, Heli Siti Halimatul, Phuong, Nguyen Van, Show, Pau Loke

    Published 2022
    “…As compared to all other culture ratio combinations, the mixing ratio of recycled medium to fresh medium is at 40 % (40RB) combination yielded the greatest biomass growth (4.52 g/L), lipid (317.40 mg/g), protein (280.57 mg/g), and carbohydrate (451.37 mg/g) content. …”
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    Journal Article
  12. 112

    Web-geospatial water management decision support system for Tanjung Karang rice irrigation scheme, Malaysia by Mamodu, Maina Mohammed

    Published 2014
    “…For the shallow groundwater measurements, three wells were established installed with a Diver sensor, to monitor water table fluctuations in the farm throughout two rice growing seasons. The nutrient contents of the irrigation water were determined by obtaining weekly water samples from the strategic points in the farm, i.e. …”
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    Thesis
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    Modeling and optimization of ACMV systems for energy efficient smart buildings by Zhai, Deqing

    Published 2019
    “…Heating, ventilation and air-conditioning (HVAC) or air conditioning and mechanical ventilation (ACMV) systems, consume around 40% of the total energy, and the systems also directly impact on the environmental conditions, especially the indoor environmental conditions, such as air temperature, air humidity, air velocity, air quality, etc. …”
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    Thesis
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