Recently, nanomaterials have received considerable attention in the agricultural sector, due to their distinctive characteristics such as small size, high surface area volume ratio, and charged surface. These properties allow be utilized nanofertilizers, that can improve crop nutrient management reduce environmental losses. However, after soil application, metallic nanoparticles been shown toxic biota associated ecosystem services. The organic nature of nanobiochar (nanoB) may help overcome...

The simultaneous monitoring of both process mean and dispersion, particularly in normal processes, has garnered significant attention within the field. In this article, we present a new Bayesian Max-EWMA control chart that is intended to track non-normal dispersion simultaneously. This accomplished through utilization inverse response function, especially cases where procedure follows Weibull distribution. We used average run length (ARL) standard deviation (SDRL) assess efficacy our...

Abstract Traditional control charts depend on the process parameters that are used to monitor shifts in process. The adaptive adapt a parameter during online monitoring. This research introduces support vector regression (SVR) based exponentially weighted moving average chat enhance monitoring of mean industrial processes. study systematically investigates comparative efficiency linear, radial basis function (RBF), and polynomial functions within SVR framework. proposed SVR‐based AEWMA chart...

In this work, we have developed a numerical algorithm based on redefined extended cubic B-spline functions to explore the approximate solution for time fractional Klein--Gorden equation. The presented technique engages finite difference formulation discretizing Caputo derivative of order $\alpha \in (1,2]$ and interpolate curve along spatial grid. A stability analysis scheme is set up affirm that errors do not amplify during execution procedure. derivation uniform convergence reveals...

A memory-type control chart is an important tool of statistical process for monitoring small to moderate shifts in the manufacturing process. Using prior information by Bayesian approach helpful charts. In this paper, a new hybrid exponentially weighted moving average (HEWMA) suggested under theory using ranked set sampling (RSS) schemes posterior and predictive distribution with informative different loss functions (LFs). The extensive Monto Carlo simulation conducted evaluate overall...

Abstract The memory-type control charts, such as cumulative sum (CUSUM) and exponentially weighted moving average chart, are more desirable for detecting a small or moderate shift in the production process of location parameter. In this article, novel Bayesian adaptive EWMA (AEWMA) chat utilizing ranked set sampling (RSS) designs is proposed under two different loss functions, i.e., square error function (SELF) linex (LLF), with informative prior distribution to monitor mean normally...

Abstract In the current study, we demonstrate use of a quality framework to review process for improving and safety patient in health care department. The researchers paid attention assessing performance service, where data is usually heterogeneous patient’s conditions. our support vector machine (SVM) regression model used handle challenge adjusting risk factors attached patients. Further, design exponentially weighted moving average (EWMA) control charts proposed based on residuals...

In this study, we introduce a new numerical technique for solving nonlinear generalized Burgers-Fisher and Burgers-Huxley equations using hybrid B-spline collocation method. This is based on usual finite difference scheme Crank-Nicolson method which are used to discretize the time derivative spatial derivatives, respectively. Furthermore, function utilized as interpolating functions in dimension. The verified unconditionally stable Von Neumann (Fourier) Several test problems considered check...

Abstract The Shewhart control chart is used for detecting the large shift and an exponentially weighted moving average (EWMA) small/moderate in process mean. A scheme that combines both EWMA a smooth way called adaptive (AEWMA) chart. In this paper, we proposed new AEWMA monitoring mean Bayesian theory under different loss functions (LFs). We informative (conjugate prior) two LFs: (1) squared error function (2) linex posterior predictive distributions. run length standard deviation of to...

Abstract The memory‐based control charts (CCs) such as exponentially weighted moving average (EWMA) and Cumulative sum (CUSUM) are good for quick detection of small or moderate shifts in the process mean. This study proposes a CC to monitor mean normally distributed process. idea is estimate shift using an estimator based on EWMA statistic after that determine smoothing constant plotting statistics through proposed continuous function. performance adaptive (AEWMA) chart focused utilizing...

Abstract The increased global warming has the likelihood of recurrent drought hazards. Potential links between frequency extreme weather events and have been suggested by earlier research. spatial variability meteorological factors over short distances can cause distortions in conclusions or limit scope analysis a particular region when values predominate. Therefore, it is challenging to make trustworthy judgments regarding spatiotemporal characteristics regional drought. This study aims...

Incorporating censored data analysis plays a pivotal role in contemporary research and practical applications, offering profound understanding of the importance observations. The literature commonly utilizes modified exponentially weighted moving average control charts to monitor subtle shifts process parameters assuming complete data. However, censoring real-life scenarios poses challenges as these are designed for may lose accuracy reliability. This article introduces Modified EWMA chart...

This document is meant to show how machine learning can analyze the raw material costs that are affecting business operations of small-to-medium enterprises. Currently, SMEs face challenge rising costs, cost inefficiencies and lack predictive insights into management, which create problems for trying operate a small smoothly in Malaysia. Machine help find solutions those operational through using regression forecast materials general. To do that, three models used Linear Regression (LR),...

With more healthcare spending comes the added demand for predictive models, which would deliver forecasts of medical insurance as well propose significant determining factors. Machine learning is used here to analyze bills in based on demographic and lifestyle factors such age, BMI, smoking status, geography. Based Medical Insurance Cost Prediction dataset, three regression models—Linear Regression, Random Forest Gradient Boosting Regression—were employed forecast...

IoT-integrated healthcare has contributed greatly to patient monitoring and medical diagnostics. This study focuses on the design of IoT-based devices, specifically Telecare-ECG Monitor, improvement remote care. The report covers technical aspects microprocessor microcontroller interfacing, energy iteration in considerations, connectivity technologies that are critical health real time. now takes a look at memory hierarchy computing how it contributes toward performance optimization system...

The paper describes the conception and development of a relational database system for facility bookings. design was based on an Entity-Relationship Diagram (ERD) to outline entities, relationships, attributes, thus ensuring optimally scalable system. practical realization consisted establishing multiple interrelated tables hold data about facilities, sites, bookings, clients, employees. SQL queries were used constructing schema, inserting data, producing business intelligence-related...

The evolution of heart rate monitoring technology has immensely contributed to personal healthcare and early disease diagnosis. This paper presents a comparative analysis three microcontroller-based monitors: low-cost PIC16F84-based system, an ATMEGA32-based system with GSM communication, IoT-based Node MCU ESP8266 system. systems incorporate infrared sensors in pulse detection, signal amplification, data processing. comparison highlights the difference hardware requirements, processing...

The primary focus of this paper is the presentation Runge-Kutta's method as a for addressing initial value problems (IVP) in ordinary differential equations (ODE). This demonstrates practical efficiency and suitability these problems. To ensure accuracy, we perform comparisons between numerical solutions exact solutions. are good agreement with obtain greater solution accuracy step size must be reduced to extremely small values. Our investigation reaches its terminus examine calculate...

High-Performance Computing (HPC) revolutionized the field of computational science by enabling it to process vast amounts data and execute complex simulations at remarkable speed efficiency. This paper describes various paradigms computing, namely, client-server distributed cloud edge elaborates on their technology drivers. Particular focus is given HPC, its architecture, programming models, performance metrics, scalability, applications. The article highlights significant impact HPC in...

ABSTRACT This work introduces a exponentially weighted moving average (EWMA) control chart that utilizes piecewise linear function to determine sample sizes adaptively. The traditional methods, which employ fixed or simple variations, struggle adjust precisely process shifts. newly developed approach increases sensitivity and responsiveness by dynamically adjusting based on the EWMA statistic. Comparative analyses with classical variable size charts show proposed method significantly...

Mental well-being is a significant part of overall wellness, but access to decent resources and support problem for most people. This project seeks enhance an available mental wellness software system in terms its functionality, performance, usability. Our team six committed members has vision where healthcare highly prioritized accessible everyone. By means improvement, addition community-based support, provision large-scale health resources, we try create platform capable empowering users...