MLP and RBF Algorithms in Finance: Predicting and Classifying Stock Prices amidst Economic Policy Uncertainty DOI Creative Commons
Bushra Ali, Khder Alakkari, Mostafa Abotaleb

et al.

Mesopotamian Journal of Big Data, Journal Year: 2024, Volume and Issue: 2024, P. 48 - 67

Published: May 11, 2024

In the realm of stock market prediction and classification, use machine learning algorithms has gained significant attention. this study, we explore application Multilayer Perceptron (MLP) Radial Basis Function (RBF) in predicting classifying prices, specifically amidst economic policy uncertainty. Stock fluctuations are greatly influenced by policies implemented governments central banks. These can create uncertainty volatility, which turn makes accurate predictions classifications prices more challenging. By leveraging MLP RBF algorithms, aim to develop models that effectively navigate these uncertainties provide valuable insights investors financial analysts. The algorithm, based on artificial neural networks, is able learn complex patterns relationships within data. other hand, utilizes radial basis functions capture non-linear identify hidden combining enhance accuracy price classification models. results showed both MLB predicted well for a group countries using an index reflecting impact news expectations, where algorithm proved its ability predict chain Countries were also classified according data policy, allowing us determine best country invest surrounding what forecasting so crucial. Investors must consider degree how it affects asset when deciding allocate their assets.

Language: Английский

A comprehensive study on unraveling the advances of immersive technologies (VR/AR/MR/XR) in the healthcare sector during the COVID-19: Challenges and solutions DOI Creative Commons
Habib Ullah Khan,

Yasir Ali,

Faheemullah Khan

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e35037 - e35037

Published: July 23, 2024

The current COVID-19 pandemic has affected almost every aspect of life but its impact on the healthcare landscape is conspicuously adverse. However, digital technologies played a significant contribution in coping with challenges spawned by this pandemic. In list applied technologies, role immersive battling notice-worthy. Immersive consisting virtual reality (VR), augmented (AR), mixed (MR), extended (XR), metaverse, gamification, etc. have shown enormous market growth within system, particularly emergence pandemics. These supplemented interactivity, experience, 3D modeling, touching sensory elements, simulation, and feedback mechanisms to tackle disease systems. Keeping view applicability significance technological advancement, major aim study identify highlight concerning handling setup. domain for different purposes such as medical education, training, proctoring, online surgeries, stress management, social distancing, physical fitness, drug manufacturing designing, cognitive rehabilitation highlighted. A comprehensive in-depth analysis collected studies been performed understand research work future directions. state-of-the-artwork presented discuss various issues involving adoption area. Furthermore, solutions these emerging provided based an extensive literature study. results show that considerable potential provide massive support stakeholders system during situation

Language: Английский

Citations

8

Public hygiene and the awareness of beauty parlor: A study of consumer perspective DOI Open Access
Pramila Thapa, Ioannis Adamopoulos, Prakash Sharma

et al.

European Journal of Environment and Public Health, Journal Year: 2024, Volume and Issue: 8(2), P. em0157 - em0157

Published: June 18, 2024

<b>Background:</b> The beauty-care industry flourishes globally, including in Kathmandu, Nepal. Despite limited research on personal hygiene, beauty parlors lack comprehensive studies. This study aims to assess parlor public hygiene (BPH) awareness among university students.<br /> <b>Methods</b>: researchers employed a quantitative cross-sectional approach and purposive sampling gather data from consumers. Consumers were surveyed using self-designed tools, the assessed tools’ reliability, validity, pilot-tested them. reliability (Cronbach’s alpha) of tools was measured at 0.793. Prior conducting final study, obtained ethical approval. In this utilized descriptive analysis, t-tests, Chi-square tests analyze data.<br <b>Results:</b> analysis showed that 53.0% consumers scored 50.0% or lower BPH. A one-sample t-test revealed significant result (p=0.049) for BPH, with mean difference 0.753 (95% confidence interval: 0.0032 1.5033). Regarding sociodemographic variables, age 26.89 years. 52.1% visited more than once month, 43.8% spent between 501 1,000 rupees per month. main services sought hair styling/cutting facial/skin care study.<br <b>Conclusions:</b> Researchers suggested below low levels regarding Therefore, targeted interventions, in-depth studies, interdisciplinary collaboration, standardized protocols regulating monitoring are recommended. Regular laboratory examinations identify different types microbes such as bacteria, fungi, viruses also prevent various communicable pandemic diseases.

Language: Английский

Citations

7

Medical educational study burnout and job satisfaction among general practitioners and occupational physicians during the COVID-19 epidemic DOI Creative Commons
Ioannis Adamopoulos, Aikaterini Frantzana, Niki Syrou

et al.

Electronic Journal of Medical and Educational Technologies, Journal Year: 2024, Volume and Issue: 17(1), P. em2402 - em2402

Published: Feb. 27, 2024

In this narrative review, general practitioners and occupational physicians (GPOPs) are compared in terms of their burnout job satisfaction. The studies used show an immediate link between a lack However, it is unclear which these two factors, will apparently need to be researched discovered through more research, influences the growth other one. High low satisfaction rates arise because intrapersonal variables, factors related workplace, dynamics workplace environment. There remarkable rise among GPOPs during COVID-19 pandemic. It critical psychological interventions made address boost levels as has detrimental impact adverse effect on medical working

Language: Английский

Citations

6

AI-PotatoGuard: Leveraging Generative Models for Early Detection of Potato Diseases DOI

Ghada Emad Al-Kateb,

Maad M. Mijwil, Mohammad Aljanabi

et al.

Potato Research, Journal Year: 2024, Volume and Issue: unknown

Published: June 24, 2024

Language: Английский

Citations

4

Analyzing the link between emotional intelligence, education level, and quality of life in women of reproductive age DOI Creative Commons
Pramila Thapa, Anjana Thapa, Ebru Cirban Ekrem

et al.

Electronic Journal of Medical and Educational Technologies, Journal Year: 2024, Volume and Issue: 17(3), P. em2406 - em2406

Published: July 25, 2024

<b>Background</b>: Emotional intelligence (EI) and quality of life (QoL) are critical aspects women’s health that have received limited attention in previous studies. Most research on EI has focused business leadership, while QoL studies predominantly revolved around diseases. This study aims to bridge this gap by examining the relationship between EI, education level, among women reproductive age group.<br /> <b>Methods</b>: A quantitative, cross-sectional was conducted, involving a total sample N = 104 participants. Self-administered questionnaires designed validated for assessment, were employed. The utilized structured instruments, such as SF-12 questionnaire, known their reliability. Data analysis involved descriptive statistics, regression analysis, one-way ANOVA tests.<br <b>Results</b>: findings revealed there is moderate correlation studied population. However, did not attain statistical significance. On other hand, level demonstrated positive association with but exert significant influence particular study.<br <br <b>Conclusion</b>: In conclusion, exhibit strong direct QoL, it remains crucial skill enhancing well-being. Also, plays role increasing can be learned developed. Hence, interventions focusing could potentially improve women. Further targeted recommended empower experience better overall

Language: Английский

Citations

3

Predicting Child Mortality Determinants in Uttar Pradesh Using Machine Learning: Insights from the National Family and Health Survey (2019-21) DOI Creative Commons
Pinky Pandey, Satyavati Shukla, Niraj Kumar Singh

et al.

Clinical Epidemiology and Global Health, Journal Year: 2025, Volume and Issue: unknown, P. 101949 - 101949

Published: Feb. 1, 2025

Language: Английский

Citations

0

The impact of PFAS on the public health and safety of future food supply in Europe: Challenges and AI technologies solutions of environmental sustainability DOI Open Access
Ioannis Adamopoulos, Antonios Valamontes,

John T. Karantonis

et al.

European Journal of Sustainable Development Research, Journal Year: 2025, Volume and Issue: 9(2), P. em0288 - em0288

Published: April 23, 2025

Per- and polyfluoroalkyl substances (PFAS) are persistent organic pollutants extensively used in industrial consumer applications. Their accumulation European agricultural soils through discharges, biosolid applications, contaminated irrigation water poses an unprecedented threat to food security, soil health, quality. Despite extensive laboratory research, no full-scale, long-term validated PFAS remediation study exists, leaving critical gaps mitigation strategies. Existing approaches–including mobilization, immobilization, degradation techniques–have demonstrated effectiveness controlled environments but lack real-world validation dynamic settings. This proposes artificial intelligence (AI)-driven framework that integrates real-time detection tools, predictive modeling, adaptive technologies overcome these challenges. Unlike static strategies, the proposed AI-assisted system dynamically optimizes interventions based on contamination patterns, composition, environmental conditions. Machine learning algorithms statistical models enable precise tracking, migration automated decision-making, offering a scalable responsive solution for sustainable management. underscores urgent need large-scale, policy-backed field trials validate AI-driven technologies, bridging gap between scientific advancements implementation. By transitioning from theory adaptive, field-deployable framework, this research ensures solutions resilience, public health protection.

Language: Английский

Citations

0

The Effectiveness of Utilising Modern Artificial Intelligence Techniques and Initiatives to Combat COVID-19 in South Korea: A Narrative Review DOI Open Access
Maad M. Mijwil, Abdel‐Hameed Al‐Mistarehi, Karan Aggarwal

et al.

Asian Journal of Applied Sciences, Journal Year: 2021, Volume and Issue: 9(5)

Published: Nov. 4, 2021

All nations are facing significant challenges and difficulties in the face of an intense pandemic that controls human life, many things have changed which led to doubling global economy difficulty life for world's inhabitants. At present, seeking control spread epidemic them, as every country uses plans prevent this pandemic. This article presents South Korea's experience employing modern artificial intelligence techniques COVID-19. Besides, use their great role analysing images people with COVID-19 disease discussed, how they used save lives victims. The data obtained is from a group studies, social networking sites, news on TV channels first period 2020, collected summarised article. study summarises Korea through application detect disease, tracking injured GPS intelligent quarantine established, diagnosing examining damaged remotely, applying electronic platform publish information about avoid infection robots assist diagnose drones sterilisation purposes.

Language: Английский

Citations

16

Building integrated assessment model for IoT technology deployment in the Industry 4.0 DOI Creative Commons
Yasir Ali, Habib Ullah Khan, Faheem Khan

et al.

Journal of Cloud Computing Advances Systems and Applications, Journal Year: 2024, Volume and Issue: 13(1)

Published: Nov. 14, 2024

Internet of Things (IoT) platforms have become the building blocks any automated system but they are more important in case industrial systems where sensitive data captured and handled by information system. Therefore, it is imperative to deploy right IoT platform perform computational operational tasks a better way. During last few years, an array technologies/platforms with different capabilities features were introduced markets. This abrupt rise created selection decision-making issues particularly for network engineers, designers, managers due lack technical understanding skill this area. we present integrated assessment model focusing on evaluating ranking environment. It encompasses multiple methods such as proposed leverages well-known collection technique Delphi related criteria features. adopts Analytic Hierarchy Process (AHP) giving weights The Order Preference Similarity Ideal Solution (TOPSIS) method has been applied evaluation top twenty (20) Industrial IoT(IIoT) alternatives according criteria. selects most rational choice that can be employed Industry 4.0 setting. produces accurate consistent outcomes. Hence, believed used guideline stakeholders like researchers, developers, policymakers deployment first kind multi-methods mode assessment, decision-making, prioritization technologies industry domain.

Language: Английский

Citations

2

Perceptions about the COVID-19 disease and the vaccination of those arriving at a vaccination center are correlated with medical public health services management DOI Creative Commons
Ioannis Adamopoulos, Antonis Nikos Bardavouras, Maad M. Mijwil

et al.

Electronic Journal of Medical and Educational Technologies, Journal Year: 2024, Volume and Issue: 17(2), P. em2404 - em2404

Published: April 4, 2024

<b>Background:</b> Perceptions of COVID-19 and vaccination depend on personal beliefs, experiences, trust in health authorities’ information. Cultural social factors also influence perceptions. Effective government messaging can minimize barriers to vaccination.<br /> <b>Methodology:</b> This cross-sectional research examines socio-demographic parameters related risk factors, conducted using questionnaires at the center Hippokrateio General Hospital Athens, Greece (n=167), last quarter 2022. Participants were asked answer questions regarding impact pandemic, a measurement tool for assessing good status developed by World Health Organization. The data analyzed IBM SPSS v26.<br <b>Results:</b> study found that women perceive vaccines cause more harm than men, with younger individuals viewing infection as harmless. Educational level influences vaccine side effects long-term harm. differ based status.<br <b>Conclusions:</b> confirms link between variables pandemic severity perception, emphasizing importance correlated medical public services management enhancing communication strategies creating effective campaigns.

Language: Английский

Citations

1