Alzheimer's disease is an incurable neurological disorder that leads to a gradual decline in cognitive abilities, but early detection can significantly mitigate symptoms. The automatic diagnosis of more important due the shortage expert medical staff, because it reduces burden on staff and enhances results diagnosis. A detailed analysis specific brain tissues required accurately diagnose via segmented magnetic resonance imaging (MRI). Several studies have used traditional machine-learning...

In wireless multimedia networks, the Internet of Things (IoT) and visual sensors are used to interpret exchange vast data in form images. The digital images subsequently delivered cloud systems via a sink node, where they interacted with by smart communication using physical devices. Visual becoming more significant part can help us live intelligent world. However, for IoT-based analytics, optimizing communications overhead balancing usage energy bandwidth resources is new research...

Abstract The Internet of Health Things (IoHT) has grown in importance for developing medical applications with the support wireless communication systems. IoHT is integrated many sensors to capture patients' records and transmits them hospital centres analysis reporting. Controlling managing health been addressed several ways, however, it noted that two key research problems vital systems are reliability reducing data loss. To enhance sustainability effectively use network infrastructure...

The firmness of tomatoes is a considerable parameter for the evaluation harvest time, shelf life, and ripeness. provides guidance in distribution transportation tomatoes. In post procedure, tomato starts losing its transforming into rotten state during supply chain due to variations environmental conditions. cold reduces loss maintains quality by controlling monitoring crucial maintaining overcoming effect ambient temperature on logistics. this study, an IoT Whale Optimization Algorithm...

Nowadays, Saudi government has established several strategic tactics such as Vision 2030 to predict the future of country.In order accomplish a superior growth in economy country, mathematical model and forecasting techniques are important tools.In this study, total annual exports imports Kingdom Arabia forecasted using Artificial Neural Network (ANN) Autoregressive Integrated Moving Average (ARIMA) models.This paper tries time series data ANN ARIMA models on from year 1968 2017 with help...

Forecasting is the process of making predictions based on past and present data, with most common method being trend analysis. models are becoming increasingly crucial in uncovering intricate linkages between large amounts imprecise data uncontrollable variables. The main purpose this article to compare CO2 emission forecasts Gulf countries. In study, autoregressive integrated moving average (ARIMA), artificial neural network (ANN), holt-Winters exponential smoothing (HWES) forecasting used...

The echo state network (ESN) is a cutting-edge reservoir computing technique designed to handle time-dependent data, making it highly effective for addressing time series prediction tasks. ESN inherits the more precise design of standard neural networks and relatively simple learning process has strong capacity solving nonlinear problems. It can disseminate low-dimensional information cues high-dimensional areas enabling extracting data. However, this study proven that not all output...

The main cause of stroke is the unexpected blockage blood flow to brain. brain cells die if not supplied them, resulting in body disability. timely identification medical conditions ensures patients receive necessary treatments and assistance. This early diagnosis plays a crucial role managing symptoms effectively enhancing overall quality life for individuals affected by stroke. research proposed an ensemble machine learning (ML) model that predicts while reducing parameters computational...

Optimal financial planning plays a vital role in maintaining concentration and on the path as organization extends, when new challenges materialize, unpredictable situations pounded. This study aims to develop implement goal programming model evaluate based annual report of Saudi Basic Industries Corporation (SABIC), which assisted it developing model. is mainly designed analyze SABIC’s budgeting structure; therefore, order maximize benefits from whole budget, implemented for entire budget....

In this work, we have characterized the frame bundle FM admitting metallic structures on almost quadratic ϕ-manifolds ϕ2=pϕ+qI−qη⊗ζ, where p is an arbitrary constant and q a nonzero constant. The complete lifts of ϕ-structure to structure are constructed. We also prove existence with aid J˜ tensor field, which define. Results for 2-Form its derivative then obtained. Additionally, derive expressions Nijenhuis field FM. Finally, construct example it finish.

Any bank’s financial management is essential to preparing the assets and liabilities for multiple goals. In this paper, we develop an optimal bank model department in Kingdom of Saudi Arabia. The lexicographic goal programming was used formulate banks’ performance management. study, six goals one leading banks Arabia, namely, maximize asset, minimize liability, equity, operating income, net maximizing total achievements statement, were studied. To illustrate model, have focused on Al Rajhi...

Due to globalization in this modern age of technology and other uncontrollable influences, transportation parameters can differ within a certain range given period. In situation, managerial position’s objective is make appropriate decisions for the decision-makers. However, general, determination an exact solution interval data-based problem (IDTP) becomes NP-hard as number choices their respective ranges increases enormously when suppliers buyers increases. So, practice, it difficult method...

The Saudi government has now set up several strategic strategies to predict the country's future, such as Vision 2030. Mathematical model and forecasting methods are significant instruments achieve superior development in economy. In this research, Kingdom of Arabia's revenues expenditures predicted using models Artificial Neural Network (ANN) Autoregressive Integrated Moving Average (ARIMA). This article uses statistical software forecast a time series data ANN ARIMA on total expenses from...

This paper evaluates the efficiency of five Indian pharmaceutical Industries using Data Envelopment Analysis (DEA) approach.The uses Net Block, Cash and Bank Balance, Share Capital, Reserve Surplus, Secure Loan Unsecured as input variables Investments 'Loans Advances' output variables.In this study, Basic Radial Models oriented with Constant Returns to scale (CRS) are used estimate Industries.The DEA tool assists administrators identify inefficient measures take necessary actions for...

The management of each industry must strive to meet multiple financial objectives, including capital structure, dividend policy, and earnings growth. paper proposes an approach analyze how resources should be allocated optimally using a multi-objective decision-making model. As part the study, Al Rajhi banks' statements are used as case study. All data is drawn from statements. Overall, study's results show that all objectives have been achieved. This model enables banking other industries...

Forecasting models are critical tools for achieving economic development and policy-making in a country. The main goal of this study is to forecast CO2 emissions the kingdom Saudi Arabia. In study, Arabia's predicted using Artificial Neural Network (ANN), Holt-Winters Exponential Smoothing (H-W), Autoregressive Integrated Moving Average (ARIMA). This research uses statistical software time series data ANN, H-W, ARIMA on Kingdom from 1960 2014. addition, shows model accuracy various measures....