Search Results - (( developing km practices algorithm ) OR ( java implication based algorithm ))

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    Land use evaluation for Kuala Selangor, Malaysia using remote sensing and GIS technologies by Nedal A Mohammad, Sharifah Mastura SA , Johari Mat Akhir

    Published 2007
    “…In evaluating landuse for sustainable use of natural resources several maps were taken as parameters and obtained from digital classification of SPOT 2005 data by means of supervised modes with maximum likelihood algorithm using necessary ground truth data. The vegetation density using Normalized Differential Vegetation Index (NDVI) of Kuala Selangor was classified into five categories, namely, very high (775.51 km2), high (182.61km2), moderate (67.07 km2), low (77.44 km2), and non-vegetation areas (91.35 km2). …”
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    Effect of LiDAR mounting parameters and speed on HDL graph SLAM-Based 3D mapping for autonomous vehicles by Law, Jia Seng, Muhammad Aizzat, Zakaria, Younus, Maryam, Yong, Ericsson, Ismayuzri, Ishak, Mohamad Heerwan, Peeie, Muhammad Izhar, Ishak

    Published 2025
    “…Tests were conducted by varying the sensor tilt angle at -5°, 0°, +5°, and +10° and driving speeds at 20 km/h, 30 km/h, and 40 km/h. Results showed that a 0° angle at 30 km/h produced the most accurate 3D map, achieving a Root Mean Square Error (RMSE) of 0.0812 for straight paths and 0.1345 for curved paths. …”
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    LTE-based passive radar for ground target detection and tracking by Salah, Asem Ahmad Mohamad

    Published 2015
    “…All the results revealed the effectiveness of the LTE-based passive radar, which can be developed and implemented in many practical applications including border protection, traffic surveillance and building monitoring.…”
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    Techno-economic evaluation of off-grid hybrid renewable energy system for rural resort electrification in Malaysia / Monowar Hossain by Monowar, Hossain

    Published 2017
    “…For these purposes, the standalone ANFIS, ANFIS-PSO (particle swarm optimization),ANFIS-GA (genetic algorithm) and ANFIS-DE (differential evolution) prediction algorithms have been developed in MATLAB platform. …”
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