Reusable acidic nickel oxide nanoparticles have been synthesized,characterized and applied as a catalyst to convert 2-aminoaryl ketones and β-ketoesters/ketones into the corresponding quinolines in good yields with h...Reusable acidic nickel oxide nanoparticles have been synthesized,characterized and applied as a catalyst to convert 2-aminoaryl ketones and β-ketoesters/ketones into the corresponding quinolines in good yields with high selectivity.This could serve as a simple and convenient procedure for the Friedlander annulations.展开更多
Frauds don’t follow any recurring patterns.They require the use of unsupervised learning since their behaviour is continually changing.Fraud-sters have access to the most recent technology,which gives them the abilit...Frauds don’t follow any recurring patterns.They require the use of unsupervised learning since their behaviour is continually changing.Fraud-sters have access to the most recent technology,which gives them the ability to defraud people through online transactions.Fraudsters make assumptions about consumers’routine behaviour,and fraud develops swiftly.Unsupervised learning must be used by fraud detection systems to recognize online payments since some fraudsters start out using online channels before moving on to other techniques.Building a deep convolutional neural network model to identify anomalies from conventional competitive swarm optimization pat-terns with a focus on fraud situations that cannot be identified using historical data or supervised learning is the aim of this paper Artificial Bee Colony(ABC).Using real-time data and other datasets that are readily available,the ABC-Recurrent Neural Network(RNN)categorizes fraud behaviour and compares it to the current algorithms.When compared to the current approach,the findings demonstrate that the accuracy is high and the training error is minimal in ABC_RNN.In this paper,we measure the Accuracy,F1 score,Mean Square Error(MSE)and Mean Absolute Error(MAE).Our system achieves 97%accuracy,92%precision rate and F1 score 97%.Also we compare the simulation results with existing methods.展开更多
In this paper,we analyse the approximate controllability of Hilfer fractional stochastic differential systems of order 1<𝜇<2 in Hilbert spaces.The primary findings are carried out by using fractional cal...In this paper,we analyse the approximate controllability of Hilfer fractional stochastic differential systems of order 1<𝜇<2 in Hilbert spaces.The primary findings are carried out by using fractional calculus,stochastic analysis theory,cosine family,and Schauder's fixed point theorem.In particular,we draw a new set of sufficient conditions for the approximate controllability of Hilfer fractional stochastic differential equations of order 1<𝜇<2 under the assumption that the corresponding linear system is approximately controllable.In the end,an example is provided to illustrate the derived theory.展开更多
This paper aims to provide a systematic approach to investigate the optimal feedback control systems governed by the fractional neutral evolution system with fixed delay in the sense of Caputo fractional derivatives i...This paper aims to provide a systematic approach to investigate the optimal feedback control systems governed by the fractional neutral evolution system with fixed delay in the sense of Caputo fractional derivatives in separable reflexive Banach spaces.Initially,we study the existence result of mild solutions for the system by applying fixed point theorem for a condensing map due to Martelli.The existence of feasible pairs is obtained by using the Filippov theorem and the Cesari property.Furthermore,the existence of optimal feedback control and time optimal control are studied for the corresponding control problem.Finally,an example is given to validate our findings.展开更多
In this paper,we propose the approximate controllability analysis for a second semilinear system under nonlocal conditions using monotone nonlinearity as a tool.Monotonicity is a significant feature in many communicat...In this paper,we propose the approximate controllability analysis for a second semilinear system under nonlocal conditions using monotone nonlinearity as a tool.Monotonicity is a significant feature in many communications applications that use digital-to-analog converter circuits.While non-monotonicity prevents such applications from working,nonlinearity makes them work.Therefore,it is of great interest to study a problem while assuming the nonlinear function is monotonic.Nonlocal conditions have a finer effect on the solution and are additional specifications for the physical measurements beyond the conventional ones.In order to determine the controllability of the considered system,we formulate the control function.In addition to this,we have broadened the scope of the results for the impulsive system.At last,we discuss two examples.展开更多
基金the VIT University for providing the generous support to carry out this work
文摘Reusable acidic nickel oxide nanoparticles have been synthesized,characterized and applied as a catalyst to convert 2-aminoaryl ketones and β-ketoesters/ketones into the corresponding quinolines in good yields with high selectivity.This could serve as a simple and convenient procedure for the Friedlander annulations.
文摘Frauds don’t follow any recurring patterns.They require the use of unsupervised learning since their behaviour is continually changing.Fraud-sters have access to the most recent technology,which gives them the ability to defraud people through online transactions.Fraudsters make assumptions about consumers’routine behaviour,and fraud develops swiftly.Unsupervised learning must be used by fraud detection systems to recognize online payments since some fraudsters start out using online channels before moving on to other techniques.Building a deep convolutional neural network model to identify anomalies from conventional competitive swarm optimization pat-terns with a focus on fraud situations that cannot be identified using historical data or supervised learning is the aim of this paper Artificial Bee Colony(ABC).Using real-time data and other datasets that are readily available,the ABC-Recurrent Neural Network(RNN)categorizes fraud behaviour and compares it to the current algorithms.When compared to the current approach,the findings demonstrate that the accuracy is high and the training error is minimal in ABC_RNN.In this paper,we measure the Accuracy,F1 score,Mean Square Error(MSE)and Mean Absolute Error(MAE).Our system achieves 97%accuracy,92%precision rate and F1 score 97%.Also we compare the simulation results with existing methods.
文摘In this paper,we analyse the approximate controllability of Hilfer fractional stochastic differential systems of order 1<𝜇<2 in Hilbert spaces.The primary findings are carried out by using fractional calculus,stochastic analysis theory,cosine family,and Schauder's fixed point theorem.In particular,we draw a new set of sufficient conditions for the approximate controllability of Hilfer fractional stochastic differential equations of order 1<𝜇<2 under the assumption that the corresponding linear system is approximately controllable.In the end,an example is provided to illustrate the derived theory.
文摘This paper aims to provide a systematic approach to investigate the optimal feedback control systems governed by the fractional neutral evolution system with fixed delay in the sense of Caputo fractional derivatives in separable reflexive Banach spaces.Initially,we study the existence result of mild solutions for the system by applying fixed point theorem for a condensing map due to Martelli.The existence of feasible pairs is obtained by using the Filippov theorem and the Cesari property.Furthermore,the existence of optimal feedback control and time optimal control are studied for the corresponding control problem.Finally,an example is given to validate our findings.
文摘In this paper,we propose the approximate controllability analysis for a second semilinear system under nonlocal conditions using monotone nonlinearity as a tool.Monotonicity is a significant feature in many communications applications that use digital-to-analog converter circuits.While non-monotonicity prevents such applications from working,nonlinearity makes them work.Therefore,it is of great interest to study a problem while assuming the nonlinear function is monotonic.Nonlocal conditions have a finer effect on the solution and are additional specifications for the physical measurements beyond the conventional ones.In order to determine the controllability of the considered system,we formulate the control function.In addition to this,we have broadened the scope of the results for the impulsive system.At last,we discuss two examples.
