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Machine learning methods to predict and analyse unconfined compressive strength of stabilised soft soil with polypropylene columns by Hoque, Md. Ikramul, Muzamir, Hasan, Islam, Md Shofiqul, Houda, Moustafa, Abdallah, Mirvat, Sobuz, Md. Habibur Rahman

“…In this study, several machine learning approaches are used for the prediction of the unconfined compressive strength (UCS) of polypropylene-stabilised soft soil. This research work generates new data and applies several machine learning algorithms for the analysis of UCS. …”
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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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Using genetic algorithms to optimise land use suitability by Pormanafi, Saeid

“…In this study, under environmentfriendliness objective, based on multi-agent genetic algorithms, was developed a geospatial model for the land use allocation. …”
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Shear strength prediction of treated soft clay with sugarcane bagasse ash using artificial intelligence methods by Rufaizal Che Mamat, Sri Atmaja P. Rosyidi, Azuin Ramli

“…Case studies of 144 soft clay soil samples from Sarang Buaya, Semerah, Malaysia, were utilised to generate training and testing datasets for developing and validating models. …”
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AN INTEGRATED RRT*SMART-A* ALGORITHM FOR SOLVING THE GLOBAL PATH PLANNING PROBLEM IN A STATIC ENVIRONMENT by SUWOYO, HERU, ADRIANSYAH, ANDI, JULI RI ANDIKA, JULI RI ANDIKA, SHAMSUDIN, ABU UBAIDAH, ZAKARIA, MOHAMAD FAUZI

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

A Model Development And Comparison Study On The Microwave Remote Sensing Of Snow Medium Using A Coupled Finite Element Method And Method Of Moment, And The Relaxed Hierarchical Equ... by Hamsalekha, Kumaresan

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The potential of shear wave velocity as an erosion risk index by Abd. Rahman, Norinah, Rehman, Muhammad Ali, Zahari, Nur Afiqah, Mohd Taib, Aizat, Wan Mohtar, Wan Hanna Melini, Ramli, Ahmad Bukhari, Ibrahim, Aniza, Abang Hasbollah, Dayang Zulaika, Mitu, Sadia Mannan, Nurddin, Mohamad Faizal

“…Based on soil properties and their response to erosion agents, efforts have been made to develop simplified models and indices for the estimation of erosion. …”
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Development Of Distributed Grid-Based Hydrological Model And Floodplain Inundation Management System by Al_Fugara, A’kif Mohammed Salem

“…The model has estimated the runoff using the Soil Conservation Service-Curve Numbers (SCS-CN), determined by the land use/ land cover and the hydrological soil group found in each grid. …”
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Development of Time Domain Inverse Scattering Algorithm for the Detection and Imaging of Buried Objects by Deanne, Edwin

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Prediction of Surface Flow by Forcing of Climate Forecast System Reanalysis Data by Jajarmizadeh M., Sidek L.M., Mirzai M., Alaghmand S., Harun S., Majid M.R.

The evolution of spectral analysis of surface wave method – a review by Mannan Mitu, Sadia Mannan Mitu, Abd. Rahman, Norinah, Mohd Taib, Aizat, Ramli, Ahmad Bukhari, Abang Hasbollah, Dayang Zulaika

“…The artificial neural network could be implemented to generate the shear wave velocity profile from the dispersion curve and perform well for the upper layer’s parameters.…”
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Pile Capacity Checking Tool based on Distributed Fibre Optic Sensing for Instrumented Pile Load Test by Beddelee, A.A.A.M., Mohamad, H., Tee, B.P.

“…The software typically requires input parameters such as extensive soil data, structure geometry, and loading intensity. …”
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Comparative Analysis of Gene Expressed in Trunking and Non-Trunking Metroxylon sagu Leaves Utilizing Transcriptome Sequencing by Wei Jie, Yan

“…However, sago palm planted on deep-peat soil failed to develop their trunk even after 17 years of being planted. …”
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An improved streamflow model with climate and land use factors for Hulu Langat Basin by Falamarzi, Yashar

“…Therefore, assessing the impacts of these changes on water availability is essential and requisite to adapt water resources management and for planning sustainable development strategies especially in a rapid socio-economic development. …”
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Change analyses and prediction of land use and land cover changes in Bernam River Basin, Malaysia by Kondum, F.A., Rowshon, Md.K., Luqman, C.A., Hasfalina, C.M., Zakari, M.D.

“…The MLP model, trained on land change driver variables, facilitated the generation of transition potentials for simulating future LULC changes. …”
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Crown counting and mapping of missing oil palm tree using airborne imaging system by Kee, Ya Wern

“…The overall accuracy of counting existing oil palm trees using the approach developed in this study is 93.3% while missing trees detection gives the detection accuracy of 89.2%. …”
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