Search Results - water distribution ((sensor algorithm) OR (based algorithm))
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Analysis on the Effect of Sensor Views in Image Reconstruction Produced by Optical Tomography System Using Charge-Coupled Device
Published 2024journal::journal article -
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Charge-coupled device based on optical tomography system in detecting solid and transparent objects in non-flowing crystal clear water
Published 2024“…Tomography is a method to capture a cross-sectional image based on the data obtained by sensors, distributed around the periphery of the analyzed system. …”
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Charge-coupled device based on optical tomography system in detecting solid and transparent objects in non-flowing crystal clear water
Published 2024journal::journal article -
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Development of ultrasonic tomography for composition determination of water and oil flow
Published 2005“…The composition of the water and oil will be shown in numerical forms and their distribution in the flow could be seen from the image. …”
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Water quality monitoring using machine learning and IoT: a review
Published 2024“…ML algorithms can analyze large volumes of water quality data, enabling data-centric approaches to designing, supervising, simulating, assessing, and refining various water treatment and management systems. …”
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Development of classification model between clean water and polluted water based on capacitance properties using Levenberg Marquardt (LM) algorithm of artificial neural network / M...
Published 2020“…The selected most optimized models were then can be used to classify between clean water and polluted water based on capacitance input.…”
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Develop algorithm for change detection of the salinity from Landsat-8 images
Published 2016“…This is because their abilities to determine spectral signature of any object on the ground and water bodies. The aims of this study to develop mathematical algorithms for the salinity change detection from Landsat-8 images. …”
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Pipe Leak Diagnostic Using High Frequency Piezoelectric Pressure Sensor And Automatic Selection Of Intrinsic Mode Function
Published 2017“…This paper reveals that utilizing the application of an integrated kurtosis-based algorithm for a z-filter technique (I-Kaz) to kurtosis ratio (I-Kaz-Kurtosis) allows/contributes to/leads to automatic selection of the IMF that should be used. …”
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Detection of leak size and its location in a water distribution system by using K-NN / Nasereddin Ibrahim Sherksi
Published 2020“…The system is simulated using EPANET (Environmental Prediction Agency Network) software based on actual water distribution system (WDS) data from Benghazi city, Libya. …”
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TRMM Satellite Algorithm Estimates to Represent the Spatial Distribution of Rainstorms
Published 2016“…These findings suggest that satellite algorithm estimations from TRMM are suitable to represent the spatial distribution of extreme rainfall.…”
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Comparison between clustering algorithm for rainfall analysis in Kelantan / Wan Nurshazelin Wan Shahidan and Siti Nurasikin Abdullah
Published 2017“…So, in this study clustering algorithm on rainfall distribution dataset is done using WEKA 3.8 software. …”
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Adaptive levy flight distribution algorithm for solving a dynamic model of an electric heater
Published 2023“…This paper presents an improved version of Levy Flight Distribution (LFD) algorithm. The original LFD is formulated based on the random walk strategy. …”
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Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process
Published 2024“…However, the highly imbalanced flow distribution often hinders the machine learning algorithm's performance. …”
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Optimizing crystal size distribution based on different cooling strategies in batch crystallization process
Published 2024“…Different temperature profiles may influence the distribution of crystal products, and a suitable optimization algorithm is required to produce an optimum temperature trajectory that produces the desired CSD. …”
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Privacy optimization and intrusion detection in modbus/tcp network-based scada in water distribution systems
Published 2021“…Another problematic aspect is related to the intrusion detection solutions that are based on machine learning cluster algorithms to learn systems’ specifications and extract general state-based rules for attacks identification. …”
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