Biochar derived from Sylla Serrata SP shells for dye removal / by Azrul Nurfaiz Mohd. Faizal, 1995-, author 631536

Whey protein isolate as carbon dioxide foam stabilizer for enhanced oil recovery / by Mohamed Sasi H, 1985-, author 655841

Torrefaction and densification of eucalyptus leaves and palm oil empty fruit bunches mixtures / by Cici Maarasyid, 1986-, author 535404

Predicting and monitoring refined palm oil quality using multivariate statistical analysis / by Azmer Shamsuddin, 1964-, author 655775

Translucent composite polyvinyledene fluoride photocatalytic membrane for oilfield produced water treatment / by Komathi Kannathasan, 1996-, author 655778

Social and environmental assessment of crude palm oil production using life cycle approach / by Haryati Zainal, 1988-, author 655850

Design and fabrication of miniature bioreactor and evaluation of its bioprocessing performance using Chryseobacterium artocarpi / by Muhammad Zainuddin Arriafdi, 1996-, author 655853

Gasification of tar model compounds for production of syngas using nickel-based catalyst / by Afizah Alir, 1988-, author 655799

Immobilization of laccase enzymes onto an optimized polysulfone/sepiolite nanocomposite support / by Lim, Jia Xin, 1996-, author 655801

Enchanced oil recovery through hydroxyapatite nanofluid flooding in sandstone cores / by Ngouangna Eugene Ngwana, 1989-, author 631796

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Impact of fresh air supply and positioning to improve indoor air quality and energy consumption / by Ho Xinyou, 1987-, author 655908

Encapsulation of iron oxide nanoparticles incorporated into polysulfone membrane for hemodialysis application / by Sarina Mat Rosid, 1988-, author 619725

Bioprocess optimization for high cell mass production of probiotic Lactobacillus reuteri / by Shanmugaprakasham Selvamani, 1988-, author 619775

Generative dialogue augmented with heterogeneous external knowledge / by Yao, Yibo, 1991-, author 656079, Azlan Mohd. Zain, supervisor 513497, Fakulti Komputeran 538688

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Prediction of international rice production using long short- term memory and machine learning models by Arya, Suraj, Anju, ., Nor Azuana, Ramli

“…By predicting its production, we can develop a global plan for its production and stock, thereby preventing issues like famine. This paper proposes machine learning (ML) and deep learning (DL) models like linear regression, ridge regression, random forest (RF), adaptive boosting (AdaBoost), categorical boosting (CatBoost), extreme gradient boosting (XGBoost), gradient boosting, decision tree, and long short-term memory (LSTM) to predict international rice production. …”
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