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454 articles for “Prediction”
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Performance of Weibull Distribution Function on Prediction Based EH-CRN with Diverse Fusion
Abstract: Reduction of energy footprint and spectral underutilization are the two major challenges for communication technology. Energy harvesting (EH) enabled cooperative cognitive radio network (CRN) promises to address this pertinent issue and aspires to play the pivotal role in driving future wireless communication. The distribution function plays an important role on the performance of such model. In this paper, we introduced Weibull distribution function in characterizing the primary user activity and …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 1, 2020 · pp. 35–47 Read article
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Predicting the Team Based on Player Performance and Formation in Sports Match by Machine Learning Approach
Abstract: In the field of sports evaluation of player performance and predicting the weight of the player for the formation of a well efficient team is very important. The main aim is to pick the best squad from all the available players. This will help to decide which team of players is the best to play against a particular opponent, perform prediction of the performance of the players in future matches …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 1–5 Read article
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An Approach for prediction of Heart Diseases using Data Mining Techniques
Abstract: ABSTRACT The healthcare enterprise collects big quantities of Healthcare statistics; however, sadly nolonger all of the facts are mined that is required for discovering hidden styles and effectivedecision making. In this paper, we advise efficient genetic algorithm with the againpropagation approach technique for heart disorder prediction. This paper has analyzedprediction systems for coronary heart diseases the use of records mining strategies. Thegadget makes use of scientific phrases inclusive of gender, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 1, 2020 · pp. 8–21 Read article
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Application of Schrödinger Wave Equation to Predict Wave Function on the Influence of Displacement
Abstract: This research work contains a review of the Finite-Difference Time-Domain method as applied to the time-dependent Schrödinger wave equation, and the basic update equations are derived in their standard form. A simple absorbing boundary condition was formulated and shown to be effective with narrowband wave functions. The stability criterion was derived from a simple, self explaining perspective and found to give better efficiency than earlier attempts. Conclusively, the idea of …
Published in International Journal of Energetic Materials · Vol. 5, Issue 2, 2019 · pp. 1–24 Read article
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Predictive Farming Using Image Based Machine Learning
Abstract: Agriculture sector is considered as central pillar of Indian economics contributing approximately18% of total GDP employing almost 78% of rural population. Export of agro- based commodities hasincreased by 7-folds in past 1.5 decade. Therefore, it is necessary to uplift quality of agro-commoditiesproductions. Improving crop quality and quantity by sowing appropriate crop according to soil typeand weather condition become an hour’s need today. There are variety of soil series available in …
Published in International Journal of Agrochemistry · Vol. 7, Issue 1, 2021 · pp. 24–32 Read article
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PREDICTIVE MODEL FOR CORROSION CONTROL IN CRUDE OIL AND GAS PRODUCTION FACILITIES
Abstract: Corrosion is a major problem in the global oil and gas industry, as crude oil and gas production operations are shut down on daily basis, because of facility failure, due to the deterioration and the loss of a facility and its critical properties due to chemical, electrochemical and other reactions of the exposed facility surface with the surrounding environment. Efforts have been made to eliminate corrosion in crude oil and …
Published in International Journal of Analytical and Applied Chemistry · Vol. 6, Issue 2, 2020 · pp. 23–36 Read article
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Comparison of Theoretical and Experimental Approach to Predict Crude Oil Spreading Rate in Niger Delta Area, Nigeria
Abstract: Theoretical and Experimental approach was employed to examine the rate of crude oil characteristics upon the influence of transport and spreading, using Niger Delta raw crude oil. The major raw crude oil used for this investigation are Escravos crude oil, Brass blend and Bonny light and the rate of transport and spreading was monitored based on the laboratory set – up experiment. Mathematical model was developed to monitor, predict and …
Published in International Journal of Chemical Engineering and Processing · Vol. 4, Issue 2, 2018 · pp. 27–37 Read article
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A New Model for Prediction of Wellbore Stability Using the Three Dimensional Hoek–Brown Failure Criterion
Abstract: Wellbore stability is one of the crucial issues in oil and gas industries. The issues related to instability of wells, impose significant unwanted costs on drilling operation.The objective of this paper is to present the 3D-wellbore stability prediction models for vertical wellbores. The three dimensional Hoek–Brown strength criterion developed by Zhang and Zhu conjunction with linear poroelastic constitutive model is utilized to develop the models. This models leads to easily …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 2, 2017 · pp. 10–15 Read article
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Predictive Evaluation of Erema Community Groundwater in Egi for the Purpose of Agricultural Use
Abstract: The investigation in this research is to study the developed sodium absorption ratio model for predicting and monitoring SAR concentration of Erema community groundwater by Ukpaka, 2016 given as, SAR = – + with coefficient of determination of that is modified in this research as + = 0 which is now the modified differential equation of sodium absorption ratio for Erema community it fitness in assessing SAR concentration. Validation of …
Published in International Journal of Water Resources Engineering · Vol. 3, Issue 2, 2017 · pp. 91–96 Read article
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Predicting Dispersion Rate of Nitrobacter Pressured by Potassium Deposition in Silty Clay Formation at Wetland Area of Port Harcourt
Abstract: This study predict the dispersion rate of Nitrobacter in silty clay, the study were developed to determine the rate of dispersions under the pressure of phosphorus in the study area, coastal deposition were observed to develop lots of Nitrobacter contaminant in the coastal environment, investigation carried out by other experts proof abortive in monitoring and evaluation of dispersion rate in the costal location, based on this factors, it becomes imperative …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 45–51 Read article
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Predicting the Spread of Nitrosomonas on Low Deposited Porosity and Void Ratio in Coarse Formation of Degema Coastal Location
Abstract: This paper discus the prediction of Nitrosomonas deposited in low porosity and void ratio in coarse formation, the deposition of Nitrosomonas express the behavior reflecting from the influential variables that were observed to pressure the deposition of Nitrosomonas in coarse deposited formation. Several conditions on the migration process were considered in the derived solution, this expression from the derived solution shows how the system in other ways could developed accumulation …
Published in International Journal of Water Resources Engineering · Vol. 4, Issue 1, 2018 · pp. 9–16 Read article
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Depression, Stress and Anxiety Prediction
Abstract: In the fast-moving up-to-date realm, intellectual well-being issues like anxiety, depression and stress have enhanced very coarse between common people. The system has entrenched information to label the sentences and make a decision itself as reaction to answer a question. The table contains chatterbot or chatbot information. It exists of four buttons as offset Time, Date, Questionnaires and Image Processing. Image preparing is used to monitor the exciting rank of …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 1, 2022 · pp. 13–19 Read article
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Prediction of Adsorption Energies using Machine Learning
Abstract: In this article, we have a much more comprehensive method that promotes the exploration of automated descriptors. Primary component analysis (PCA) with varimax rotation is used to find the strongest minimum range of adsorption energies that can be used as metal descriptors for a given data set. Our findings demonstrate that the mixture of descriptors produced by this method outperforms conventional descriptors such as nuclear carbon, hydrogen and oxygen adsorption …
Published in International Journal of Electrical Power System and Technology · Vol. 6, Issue 2, 2020 · pp. 38–46 Read article
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Prediction of Ionic Polarization of Na+ and Cl- Ions in a Lattice Upon the Influence of Displacement
Abstract: This research demonstrates an interest because of the contribution to examine the importance on the characteristics of the certain behaviors of dielectric material, which do not give rise to an active current that leads to ionic polarization, and this attribute to the fact that when some of the atoms of the molecule have an excess positive or negative charge, an electric field will tend to shift positive ions relative to …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 4, Issue 1, 2018 · pp. 24–30 Read article
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Predictive Model to Monitor the Effect of Angular Momentum of an Electron in an Orbital
Abstract: Mathematical model was developed to examine the effect of angular momentum of an electron in an Orbital. The Lamor procession and vector of angular momentum function of the S,P orbitals revealed increase in the angular momentum with increase in orbital. The trend on spd orbital in terms of angular momentum shows the same behaviors as well as spdf orbital. The quantum angular momentum shows that the energy of the system …
Published in International Journal of Energetic Materials · Vol. 6, Issue 1, 2020 · pp. 38–47 Read article
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A Predictive Model on Pipeline Corrosion
Abstract: A comprehensive mathematical model is developed to predict corrosion rates in pipeline. The specimenused for this design is coupons (mild steel). Four containers with different solvents of 0.5 concentrationof nitric acids, 0.5 concentration of HCl, fresh water, and saltwater respectively were provided, andthe four paired coupons were placed inside the solvent for seven days. Each day, the coupons wereremoved, washed, dried, weighed, and placed back into the solvent. The result …
Published in International Journal of Metallurgy and Alloys · Vol. 7, Issue 1, 2021 · pp. 17–26 Read article
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Predictive Model on Constant Pressure Drop Variable: Area Fluid Flow System in a Pipe
Abstract: The effect of density, pressure drop, and orifice area was examined in this research. The basic equation developed to represent steady-state fluid flow is the Bernoulli equation which assumes that the total mechanical energy is conserved for steady incompressible, in viscid, isotherm flow with no heat transfer or work done. These restrictive conditions can actually be representative of many physical systems. The Bernoulli’s principle was applied in explaining the design …
Published in International Journal of Mechanics and Design · Vol. 4, Issue 1, 2018 · pp. 23–34 Read article
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Prediction of Hydro-dynamic Force Coefficients and Shedding Frequency during Vortex Shedding Behind a Stationary Cylinder
Abstract: Vibration of slender cylinders caused by the shedding of vortices at the wake, known as vortex induced vibrations (VIV) is a topic of great research interest, since the phenomenon can reduce the fatigue life of marine risers, which are subjected to complex flow conditions in ocean environment. This paper studies in detail the accuracy with which hydrodynamic forces are predicted by different turbulence models such as k–ε and k– ω-shear …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 4, Issue 1, 2018 · pp. 41–52 Read article
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Predicting Traffic Congestion in Mumbai Using Artificial Intelligence
Abstract: Abstract — Mumbai's ongoing traffic problems are brought on by the city's fast urbanization, population expansion, and growing reliance on private automobiles. The majority of traffic management technologies in use today are reactive, frequently reacting only after congestion has already arisen. Using information from a variety of sources, such as commuter surveys, weather reports, and traffic incident logs, this study explores the application of artificial intelligence (AI) and machine learning …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 2, 2026 Read article
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Development of a Simplified Predictive Equation for Foundation Depth Using Soil and Load Parameters
Abstract: Abstract- This study presents the analysis and design of shallow foundations subjected to vertical and lateral loads, considering the self-weight of structural elements and soil bearing capacity. Two loading cases are examined to evaluate the stability and suitability of foundation dimensions. In the first case, a column load of 120 t is considered, with an additional self-weight of 2.40 t, resulting in a total load of 122.40 t. Including 10% …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article