🤑 ‪Awais Muhammad‬ - ‪Google Scholar‬

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フォロー. Awais Muhammad 8, Earthquake prediction: a global review and local research​. MA Mubarak, MS Riaz, M Awais, Z Jilani, N Ahmad, M Irfan, F Javed, Proc


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This Pin was discovered by Muhammad Irfan. Discover (and save!) your own Pins on Pinterest


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Irfan Muhammadの検索結果 - Bibgraph(ビブグラフ)| PubMedを日本語で論文検索
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#malaysia #japan #日本 #illustrator #illustratorsoninstagram #scenerypainting #conceptartist #conceptart #conceptualart #コンセプトアート #inktober #​inktober Photo by Muhammad Irfan in Somewhere out in the Middle of Nowhere


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A STUDY ON Z-SOFT ROUGH FUZZY SEMIGROUPS AND ITS DECISION-​MAKING Qiumei Wang, Jianming Zhan, Muhammad Irfan Ali, Nayyar Mehmood. photo. Qiumei Wang Department of Mathematics, Hubei University for Nationalities


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/12/24 - このピンは、muhammad irfanさんが見つけました。あなたも Pinterest で自分だけのピンを見つけて保存しましょう!


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フォロー. Awais Muhammad 8, Earthquake prediction: a global review and local research​. MA Mubarak, MS Riaz, M Awais, Z Jilani, N Ahmad, M Irfan, F Javed, Proc


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Muhammad Irfan Maulana Kusdhany. High Surface Area MOF-derived Hierarchically Porous Carbon for Energy Storage Applications. Graduate School of Engineering. 吉永 健. 再生可能エネルギーの有効利用を目的とした水


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Kinetic analysis on thermo-gravimetric profiles of pulverised coal pyrolysis and gasification under different oxy-fuel environments, Irfan, Muhammad Faisal; Chakrabarti, Mohammed Harun; Kusakabe, Katsuki, Canadian Journal of Chemical


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AB - Plant factory is an extensive cultivation that produce vegetable under a controllable environment.{/INSERTKEYS}{/PARAGRAPH} As a result, Determination coefficient R2 of the Linear model was 0. {PARAGRAPH}{INSERTKEYS}The concept of Precision Agriculture has been introduced to enhance the plant factory production by monitoring of crop growth intensively. Crop growth can be estimated using a mathematical model to determine the state of the plant during the growth period. Linear and polynomial model were applied to obtain the appropriate prediction. The activity covers the development of mathematical model and model validation using Chili Capsicum frutescens as a preliminary experiment. The objective of this study was to construct a crop growth prediction model for vegetative development phase. However, the application of a crop growth model in plant factory has several challenges because every plant has a specific model to be observed. Four samples S1, S2, S3, S4 of Chili with age of five weeks after planting were used and measured daily for 30 days to get the actual height cm. The model was validated and evaluated using the Root Mean Squared Error RMSE and Mean Absolute Percentage Error MAPE. Three crop height observation data set S1, S1, S3 , were used to develop a mathematical model and the rest dataset was for model validation and evaluation.