Search Results - (( developing effective rice algorithm ) OR ( java implication based algorithm ))

Comparison of conjugate gradient methods for developing the multiple linear regression model for rice production in Malaysia / Nur Atikah Mustapha by Mustapha, Nur Atikah

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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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Effects of Ambient Tropospheric Ozone on Mr-219 Rice in the Muda Irrigation Scheme Area by Ismail, Marzuki

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Rapid and non-destructive monitoring of the drying process of glutinous rice using visible-near infrared hyperspectral imaging by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…Rapid and non-invasive monitoring of the drying process of glutinous rice is crucial to ensure the effective production of desired dried grain. …”
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Development of submergence tolerant rice variety through marker-assisted backcross breeding between MR219 and Swarna-Sub1 by Ahmed, Fahim

“…Marker-assisted selection (MAS) is an effective approach than the conventional breeding for rice varietal development. …”
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Genome-wide computational identification of biologically significant cis-regulatory elements and associated transcription factors from rice by Ho, Chai Ling, Geisler, Matt

“…In this study, we tested the applicability of two algorithms developed for other model systems for the identification of biologically significant CREs of co-expressed genes from rice. …”
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Prediction of rice biomass using machine learning algorithms by Radhwane, Derraz

“…Conventional rice sampling methods are effective. However, they are destructive, laborious, time-consuming, impractical for large fields, and subject to human error. …”
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Enhancing predictive performance in statistical modeling: Innovative hybrid best subset feature selection for rice production in Malaysia by Chuan, Zun Liang, Abraham Lim, Bing Sern, Ren Sheng, Tham, David Lau, King Luen, Tan, Chek Cheng

“…This study provided valuable insight for academicians, policymakers, smallholder farmers, and society by offering a more effective feature selection method, thereby enhancing policy development and farming practices in the context of food security. …”
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Estimation of microclimate parameters on infestation rate of yellow stem borer (Scirpophaga incertulas) on MR297 rice variety by Idris, Dauda

“…The present study's finding recommends that rice farmers and entomologists develop a pest management program for yellow stem borer and stimulate research workers for sustainable bio-resource management. …”
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Hyperspectral imaging for detection of macronutrients retained in glutinous rice under different drying conditions by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah, Megat Ahmad Azman, Puteri Nurain, Onwude, Daniel I.

“…This study detected the macronutrients retained in glutinous rice (GR) under different drying conditions by innovatively applying visible-near infrared hyperspectral imaging coupled with different spectra preprocessing and effective wavelength selection techniques (EWs). …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method by Ashraf Saleh Mohammad Alomoush

Optimization of energy inputs and greenhouse gas emissions of wetland rice cultivation in Malaysia by Elsoragaby, Suha Gaafar Babekir

“…Besides that, the total cost production could also be minimized with proper both in adoption and adaptation of the machines and equipment to perform the involved field operations efficiently and effectively. Extensive field evaluations were conducted in real field conditions from a total of 62.2 hectares (62 lots) of paddy plots at Sungai Burung, North-West Integrated Agricultural Development Authority Selangor under two rice growing seasons. …”
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Jaya algorithm hybridized with extreme gradient boosting to predict the corrosion-induced mass loss of agro-waste based monolithic and Ni-reinforced porous alumina by Dele-Afolabi, T.T., Jung, D.W., Ahmadipour, Masoud, Azmah Hanim, M.A., Adeleke, A.O., Kandasamy, M., Gunnasegaran, Prem

“…This study demonstrates the mass loss of monolithic and Ni-reinforced porous alumina developed using rice husk and sugarcane bagasse in acidic and alkaline corrosive media. …”
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An annotated image dataset of pests on different coloured sticky traps acquired with different imaging devices by Song-Quan Ong, Toke Thomas Høye

“…The images were sorted by device, colour and species and divided into training, validation and test parts for the development of the deep learning model…”
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Jaya algorithm hybridized with extreme gradient boosting to predict the corrosion-induced mass loss of agro-waste based monolithic and Ni-reinforced porous alumina by Dele-Afolabi T.T., Jung D.W., Ahmadipour M., Azmah Hanim M.A., Adeleke A.O., Kandasamy M., Gunnasegaran P.

“…This study demonstrates the mass loss of monolithic and Ni-reinforced porous alumina developed using rice husk and sugarcane bagasse in acidic and alkaline corrosive media. …”

Design of intelligent control system and its application on fabricated conveyor belt grain dryer by Lutfy, Omar F.

“…Moreover, three evolutionary algorithms (EAs), in particular a real-coded genetic algorithm (GA), a particle swarm optimization (PSO), and a global-best harmony search (GHS), were separately used to train the proposed controller and to determine its scaling factors. …”
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Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study by Abdellatief M., Hassan Y.M., Elnabwy M.T., Wong L.S., Chin R.J., Mo K.H.

“…Overall, the dataset of 128 CS results was used to develop the machine learning (ML) models. The findings validate the effectiveness of the RF, SVR, and XGB models in accurately predicting the strength of the UHPGC, as constructed by their excellent predictive accuracy (R2 > 0.84). …”

Decision support system for optimal design and operation of ponds for watershed runoff management by Al-Ansi, Abdulwahab Mujahed Hasan

“…Understanding how the landuse change influences the river basin hydrology may enable planners to formulate policies to minimize the undesirable effects of land development. The objectives of this study were to assess the impacts of landuse changes on the watershed runoff in a humid tropical river basin and to develop a decision support system based on continuous hydrological simulation integrated with optimization algorithm to determine the optimal ponds locations, sizes and operations for floods control during high flow months and maintain river flow during low flow months. …”
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