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Research ArticleOpen accessIn the abstractPredicting Depression Levels using Back Propagation Neural NetworkEddy Muntina Dharma, Yaya Heryadi, Lukas et al.Depression is a mood disorder characterized by feelings of deep sadness and a sense of indifference. When depression recurs in moderate or severe intensity, it can be a serious health condition. The most effective way to deal with this problem is to predict the symptoms of depression at an early stage. In this study, a Back Propagation Neural Network (BPNN) … …Journal of Computer Science, Vol. 18, Issue 3 · 18 Mar 2022 · 6,882 accessesView PDFCite
Research ArticleOpen accessIn the abstractLevels of Trace and Other Selected Metals in Mixed Teff Grain SamplesAbraha Gebregewergis WeldehawariaTeff (Eragrostis tef (Zuccagni)) is a hugely important crop to Ethiopia both in terms of production and consumption. In terms of production, teff is the dominant cereal by area coverage and second only to maize in production and consumption. The principal use of teff grain for human food in Ethiopia is in the form of Injera, a soft porous thin … …American Journal of Agricultural and Biological Sciences, Vol. 17, Issue 1 · 19 Feb 2022 · 7,124 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETECTION OF LAND USE AND LAND COVER CHANGES IN DIRAB REGION OF SAUDI ARABIA USING REMOTELY SENSED IMAGERIESR. Madugundu, K. A. Al-Gaadi, V. C. Patil, E. TolaKnowledge of Land Use and Land Cover (LULC) changes is important for many planning and management activities. It is thought to be an essential element for modeling and understanding the major land forms, especially in arid regions like Saudi Arabia. This study investigates the LULC changes in Dirab region of Saudi Arabia between 1980 and 2010, using Landsat TM/ETM+images. After … …American Journal of Environmental Sciences, Vol. 10, Issue 1 · 30 Jan 2014 · 8,013 accessesView PDFCite
Research ArticleOpen accessIn the abstractImaging Spectroscopy and Light Detection and Ranging Data Fusion for Urban Features ExtractionMohammed Idrees, Helmi Zulhaidi Mohd Shafri, Vahideh SaeidiThis study presents our findings on the fusion of Imaging Spectroscopy (IS) and LiDAR data for urban feature extraction. We carried out necessary preprocessing of the hyperspectral image. Minimum Noise Fraction (MNF) transforms was used for ordering hyperspectral bands according to their noise. Thereafter, we employed Optimum Index Factor (OIF) to statistically select the three most appropriate bands combination from … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 28 Oct 2013 · 7,152 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Approach to the Model use for Measuring Suspended Sediment Yield in Ungauged CatchmentsSokchhay Heng, Tadashi SuetsugiDifferent types of water resources studies require the information of Suspended Sediment Yield (SSY) in different time resolutions. In ungauged watersheds where hydrometeorogical time series are not available, the mean annual SSY (SSYa) is solely predictable and catchment area is traditionally used as the predictor because it is the most important variable and generally determined during project planning. Firstly, this … …American Journal of Environmental Sciences, Vol. 9, Issue 4 · 11 Sep 2013 · 6,991 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlattening Effect on Heat Transfer Characteristics of a Sintered-Wick Heat PipeWeeranut Intagun, Pradit Terdtoon, Phurt SakulchangsatjataiThe effect of pipe flattening on heat transfer characteristics and the internal phenomena of a sintered-wick heat pipe has been investigated by using three-dimensional Finite Element Method. The calculation domains were focused at three important regions, i.e., vapor core, wick and wall. The Cartesian coordinates and the three-dimensional tetrahedral elements were applied in this model. The selected total elements were … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 4 Jul 2013 · 7,342 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Drives and Control Integrated Time-Domain Dynamic Analysis and Modeling Approach Applied To Ultra-Precision Machine ToolsTianjian Li, Shijin Chen, Haijun Zhang, Kai ChengProblem statement: Machines dynamic performance depends not only upon the mechanical structure and components but also the drives and control system. However, the design of the machines is still at the nascent stage by working on an individual machine basis, hence lacks generic scientific approach and design guideline. Approach: Using computer models integrated drives and control system to predict the … …Current Research in Nanotechnology, Vol. 2, Issue 1 · 29 Jul 2011 · 8,088 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Subset Selection for Hot Method Prediction using Genetic Algorithm wrapped with Support Vector MachinesSandra Johnson, Valli ShanmugamProblem statement: All compilers have simple profiling-based heuristics to identify and predict program hot methods and also to make optimization decisions. The major challenge in the profile-based optimization is addressing the problem of overhead. The aim of this work is to perform feature subset selection using Genetic Algorithms (GA) to improve and refine the machine learnt static hot method predictive … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 7,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuantitative Performance of Spectral Indices in Large Scale Plant Health AnalysisHelmi Zulhaidi Mohd Shafri, Mohanad Saad EzzatProblem statement: Oil palm trees are planted in large scale areas. The detection and mapping of diseases are considered as important for oil palm industry and need a timely detection to control the disease spread. Approach: Vegetation analysis of airborne hyperspectral imagery could be an ideal method to deal with this problem since this data could be acquired on user … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,222 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,091 accessesView PDFCite