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Green scheduling algorithm for a computational grid environment by Haruna, A.A., Jung, L.T., Zakaria, M.N., Haron, N.S.

“…The experimental results significantly showed that the proposed green scheduling algorithm was able to save the consumption of cooling load by 22.02 in DC's server room. …”
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Analysis and modeling of database storage optimization power consumption usage for green data centers by Wan Noor Hamiza, Wan Ali

“…The proxies can be discovered by using a developed algorithm of functional dependencies (FDs) called as TANE algorithm. …”
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The implications for ahybrid detection technique against malicious sqlattacks on web applications by Bahjat Arif, Sarajaldeen Akram, Wani, Sharyar

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Harmonic current classification using hybrid FAM-RBF neural network by Leow S.Y., Yap K.S., Wong S.Y.

Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Techno-economic optimization of grid-connected photovoltaic (PV) and battery systems based on maximum demand reduction (MDRED) modelling in Malaysia by Subramani G., Ramachandaramurthy V.K., Sanjeevikumar P., Holm-Nielsen J.B., Blaabjerg F., Zbigniew L., Kostyla P.

Data mining and analysis for predicting electrical energy consumption by Khudhair I.Y., Dhahi S.H., Alwan O.F., Jaaz Z.A.

Brovey Transform Based Image Fusion For Impurities Segmentation And Detection On Edible Bird’s Nest by Kee, Seow Pei

“…Current cleaning method of EBN is labour dependency, time consuming and not cost effective. Automated inspection was introduced but still continues to exist as a challenging field of development as there is no effective algorithms for impurities segmentation. …”
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Efficient Malware Detection And Response Model Using Enhanced Parallel Deep Learning (EPDL-MDR) by Chowdhury Sajadul Islam

“…The three main objectives are: (i) to develop a malware RGB image-based dataset and classifier using a parallel CNN (PCNN), (ii) to develop an enhanced parallel deep learning (EPDL) model for malware detection (MD) and build a response system (RS) by applying PCNN, and (iii) to evaluate the developed model with previous studies based on the accuracy rate. …”

Salsa20 based lightweight security scheme for smart meter communication in smart grid by Reza S.M.S., Arifeen M.M., Tiong S.K., Akhteruzzaman M., Amin N., Shakeri M., Ayob A., Hussain A.

Crown counting and mapping of missing oil palm tree using airborne imaging system by Kee, Ya Wern

“…Hue, Saturation, Value (HSV) color space was found to be effective for distinguishing between the trees and weeds while the index of subtraction red from green (RG) is useful for separation of soil and greenness objects in tree identification. …”
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A comparative study of supervised machine learning approaches for slope failure production by Deris A.M., Solemon B., Omar R.C.

Prediction of rice biomass using machine learning algorithms by Radhwane, Derraz

“…However, they are destructive, laborious, time-consuming, impractical for large fields, and subject to human error. …”
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