Statistical methods and models are the backbone of machine learning, which allows computers to autonomously discover and exploit data patterns. The ultimate objective is for computers to accurately forecast outcomes b...
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To provide anonymous communication, this paper proposes the implementation of a 5-node mix network using ElGamal encryption and XOR Shuffling. An algorithm for a 5-node mix network with XOR shuffling has been presente...
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This paper presents the design of an antimetal RFID tag antenna optimized for long-range applications. The antenna is compact with dimensions of 35 mm × 35 mm × 2 mm and operates at 918 MHz. It is powered th...
Microarray gene expression (MGE) data classification is a vital challenge in biomedical and genomics research, designed to understand the difficult relations among genes and numerous biological states. In this procedu...
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Grid synchronisation is essential for grid following inverter control. Typically, a phase-locked loop (PLL) is used to perform the synchronisation, but it is known that the PLL can fail to synchronise with the grid in...
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Missing data is a widespread problem across many research fields, and it can have a major impact on the precision of statistical analyses. Imputation is one method for handling missing data, in which missing values ar...
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When using through-wall radar to locate a target behind the wall, to suppress the noise associated with the environment such as the wall is necessary which helps to improve the accuracy of target location. In this pap...
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Soil salinity is a serious land degradation issue in *** is a major threat to agriculture *** irrigation water is applied to leach down the salts from the root zone of the plants in the form of a Leaching fraction(LF)...
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Soil salinity is a serious land degradation issue in *** is a major threat to agriculture *** irrigation water is applied to leach down the salts from the root zone of the plants in the form of a Leaching fraction(LF)of irrigation *** the leaching process to be effective,the LF of irriga-tion water needs to be adjusted according to the environmental conditions and soil salinity level in the form of Evapotranspiration(ET)*** relationship between environmental conditions and ET rate is hard to be defined by a linear relationship and data-driven Machine learning(ML)based decisions are required to determine the calibrated Evapotranspiration(ETc)***-assisted ETc is pro-posed to adjust the LF according to the ETc and soil salinity level.A regression model is proposed to determine the ETc rate according to the prevailing tempera-ture,humidity,and sunshine,which would be used to determine the smart LF according to the ETc and soil salinity *** proposed model is trained and tested against the Blaney Criddle method of Reference evapotranspiration(ETo)*** validation of the model from the test dataset reveals the accu-racy of the ML model in terms of Root mean squared errors(RMSE)are 0.41,Mean absolute errors(MAE)are 0.34,and Mean squared errors(MSE)are 0.28 mm *** applications of the proposed solution in a real-time environ-ment show that the LF by the proposed solution is more effective in reducing the soil salinity as compared to the traditional process of leaching.
In this paper, a single-fed circularly polarized (CP) rectenna is proposed at 2.45 GHz for applications of wireless power harvesting (WPH). The antenna is a square patch antenna which generates circularly polarized CP...
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While many innovations and possibilities of the world wide web were created, there is still a lot of unrealized potential due to the limitations of the current structure of the web, which is called web2. To solve curr...
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