scholarly journals An epidemic model for economical impact predicting and spatiotemporal spreading of COVID-19

2020 ◽  
Author(s):  
Mateo Cámara ◽  
Mario Miravete ◽  
Eduardo Navarro
Keyword(s):  
Artificial Intelligence ◽  
Economic Activity ◽  
Relevant Information ◽  
Medical Data ◽  
Point Of View ◽  
Epidemiological Models ◽  
Population Movements ◽  
Economic Point ◽  
The World ◽  
The Impact

Since the emergence of a new strain of coronavirus known as SARS-CoV-2, many countries around the world have reported cases of COVID-19 disease caused by this virus. Numerous people's lives have been affected both from a health and an economic point of view. The long tradition of using mathematical models to generate insights about the transmission of a disease, as well as new computer techniques such as Artificial Intelligence, have opened the door to diverse investigations providing relevant information about the evolution of COVID-19. In this research, we seek to advance the existing epidemiological models based on microscopic Markov chains to predict the impact of the pandemic at medical and economic levels. For this purpose, we have made use of the Spanish population movements based on mobile-phone geographically-located information to determine its economic activity using Artificial Intelligence techniques and have developed a novel advanced epidemiological model that combines this information with medical data. With this tool, scenarios can be released with which to determine which restriction policies are optimal and when they have to be applied both to limit the destruction of the economy and to avoid the feared possible upsurge of the disease.

scholarly journals THE ROLE OF ZAKAT IN MALAYSIA IN DEALING WITH THE COVID-19 PANDEMIC

2021 ◽  
Vol 3 (8) ◽  
pp. 21-30
Author(s):  
Muhammad Hanif Mohd Noor ◽  
Muhammad Aiman Abdull Rahim ◽  
Wan Abdul Rahman Wan Ibrisam Fikry ◽  
Aminudin Hehsan
Keyword(s):  
Economic Growth ◽  
Content Analysis ◽  
World Economy ◽  
Point Of View ◽  
Economic Point ◽  
The People ◽  
The World ◽  
The Impact ◽  
Positive Effect

The COVID-19 pandemic that struck, shocks the whole world, regardless of race or religion. The effects of a pandemic can be felt from a health, social and economic point of view. The impact clearly affects the growth of the world economy, especially in Malaysia. Despite the pandemic, we can see the assistance extended by the people of the world, especially the community in Malaysia to help those effected and affected by the COVID-19 pandemic. Zakat institutions in Malaysia have also not missed out on their duty to help asnaf who need special assistance during this pandemic. So, in this study, the researcher will study in more depth the assistance provided and the channels used to help the zakat asnaf affected by the COVID-19 pandemic. In addition, this study also aims to determine the impact of assistance given to asnaf on the country's economic growth during the pandemic. The methodology used is content analysis from studies on zakat and, data from zakat institutions. The results of the study showed a positive effect on the economy of the recipients with the assistance received by the asnaf from the zakat institution.

scholarly journals The Impact of Cybercrimes on the Banking System of Russia

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Oksana Rusakova ◽  
Sofia Golovan
Keyword(s):  
Law Enforcement ◽  
Economic Activity ◽  
Banking System ◽  
Economic Behavior ◽  
Point Of View ◽  
Financial Fraud ◽  
Law Enforcement Agencies ◽  
Economic Point ◽  
Significant Damage ◽  
The Impact

The article provides analysis of cybercrimes and their impact on banking system of Russia. From an economic point of view, cybercrime is a special type of human activity aimed at finding blank spots in the rules and traditions of economic behavior, in the methods of economic activity, in the methods of controlling economic activity, as well as in criminal law, in the practice of law enforcement agencies and organs of justice. The research stated that electronic financial fraud has characteristics that differentiate it from other types of crime. One of the most relevant issues is the fact that this type of crime is committed in the credit and financial sphere, which causes significant damage to the economy. The article concluded that the use of computer technology with modern versions of software is inherent in committing fraud in the financial sector and requires appropriate solutions.

scholarly journals Putting the world back to work: An expert system using big data and artificial intelligence in combating the spread of COVID-19 and similar contagious diseases

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Expert System ◽  
Population Monitoring ◽  
High Definition ◽  
Contagious Diseases ◽  
The World ◽  
General Guide ◽  
The Impact ◽  
Back To Work

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.

scholarly journals WORLD EXPERIENCE: COMMERCIAL BANK CREDIT AND ECONOMIC GROWTH RELATIONSHIP

2020 ◽  
pp. 6-19
Author(s):  
Davit Aslanishvili
Keyword(s):  
Economic Growth ◽  
Large Scale ◽  
Banking Sector ◽  
Point Of View ◽  
Bank Credit ◽  
Main Function ◽  
Economic Point ◽  
Market Factors ◽  
Credit Portfolio ◽  
The Impact

This research focuses on the problem of large scale disproportion of success in the development of the banking sector and mostly unsuccessful development of the real sector of the economy. It should be noted that this disproportion is a subject of consideration in contemporary economic literature and our research is an attempt to broaden the issue and share ideas inside the international scientific circles. The main problem in the research is the impact of the banking sector's credit portfolio and the functioning of credit markets on the economic growth of the country. In this regard, it is very important to identify, study the macroeconomic stabilization and accelerated economic growth of the country and analyse the impact mechanisms of the credit market factors on economic growth. The conclusion that combines many of the research and opinions given in the survey can be as follows: From the economic point of view, the main function of banks is to increase the financing/lending of funds as the core point to increase investments in the economy. Thus, the development of the country in economic terms depends on the increase of investments. At present, it is in the hands of the banking sector whether to lead us to economic immobility or to accelerate the country's economic development through efficient allocation of resources.

scholarly journals The Impact of Covid-19 to Indonesian Education and Its Relation to the Philosophy of “Merdeka Belajar”

2020 ◽  
Vol 1 (1) ◽  
pp. 38-49 ◽  
Author(s):  
Azmil Abidah ◽  
Hasan Nuurul Hidaayatullaah ◽  
Roy Martin Simamora ◽  
Daliana Fehabutar ◽  
Lely Mutakinati
Keyword(s):  
Online Learning ◽  
Position Paper ◽  
Point Of View ◽  
Digital Learning ◽  
Ministry Of Education ◽  
Social Distancing ◽  
The World ◽  
The Impact ◽  
Official Information

The Covid-19 pandemic is now beginning to spread to the world of education. The Ministry of Education and Culture (MOEC) is currently based on official information, ready with all scenarios, including encouraging online learning for students. This article is a kind of position paper—it clearances one side of a debatable opinion about a hot issue. The aim of a position paper is to persuade the reader that our opinion is valid and defensible. In regards to our position as researchers, then, the point of view is separated into four parts: The philosophy of “Merdeka Belajar”, physical distancing, social distancing and self-quarantine, digital learning in Indonesia to face Covid-19, ‘Merdeka Belajar’, digital learning, Covid-19, and authors’ view.

scholarly journals ARTIFICIAL INTELLIGENCE: IS IT A THREAT OR AN OPPORTUNITY BASED ON ITS LEGAL PERSONALITY AND CRIMINAL LIABILITY?

2021 ◽  
Vol 6 (20) ◽  
pp. 01-09
Author(s):  
Mark Louis ◽  
Angelina Anne Fernandez ◽  
Nazura Abdul Manap ◽  
Shamini Kandasamy ◽  
Sin Yee Lee
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Criminal Liability ◽  
Legal Person ◽  
Human Intelligence ◽  
Legal Research ◽  
Legal Personality ◽  
The World ◽  
Technological World ◽  
The Impact

Information technology is taking the world by storm. The technological world is changing rapidly and drastically. Human activities are taken over by robots and computers. The usage of computers and robots has increased productivity in various sectors. The emergence of artificial intelligence has stirred up many debates on both its importance and limitations. Artificial intelligence is directed to the usage of Information Technology in conducting tasks that normally require human intelligence. The expectation of artificial intelligence is high, nevertheless, artificial intelligence has its shortcomings namely the impact of artificial intelligence on the concept of a legal personality. The problem with artificial Intelligence is the debate on whether does it have a legal personality? And another problem is under what situation does the law treat artificial intelligence as an entity with its own rights and obligations. The objective of this article is to examine the various definitions of legal personality and whether artificial intelligence can become a legal person. The article will also examine the criminal liability of artificial intelligence when a crime has been committed. The methodology adopted is qualitative namely Doctrinal Legal Research by analyzing the relevant legal views from various journals on artificial intelligence. The study found out that artificial intelligence has its limitations in defining its legal personality and also in examining the criminal liability when a crime has been committed by robots.

scholarly journals The next step for Artificial Intelligence in a globally connected economy

2021 ◽  
Vol 129 ◽  
pp. 04001
Author(s):  
Dumitru Alexandru Bodislav ◽  
Florina Bran ◽  
Carol Cristina Gombos ◽  
Amza Mair
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Human Factor ◽  
Value Added ◽  
Point Of View ◽  
Business Analytics ◽  
Economic Point ◽  
Technological Breakthrough ◽  
Big Picture ◽  
The Difference

Research background: This research paper represents an overview of what artificial intelligence is, what are its roots, and what is the next big thing regarding the domain. In this paper we try to highlight how the domain is growing and what is the difference between the ideology, the business factor and the human factor. We try to create a big picture on the entire phenomenon by creating a parallel between machine learning, artificial intelligence and the influence of technological breakthrough from a hardware perspective. Purpose of the article: The paper is built as a tool in understanding technology, globalization and the pathway to success and scientific glory for what can be seen as the industry of artificial intelligence. The tools presented in the research have the purpose to create an easier path to how we can develop this domain by accelerating theoretical processing and business analytics that come together to form the next level of machine learning/artificial intelligence; research and development, everything being filtered from an economic point of view. Methods: The used research method is based on fundamental analysis of the artificial intelligence domain and its purpose in the complexity of globalization and economic development. Findings & Value added: The paper tries to offer a tool for building a better understanding of the next decade in the domain of artificial intelligence.

The main trends in the Russian tourism and hospitality market from the point of view of Russian travel agencies

2018 ◽  
Vol 10 (4) ◽  
pp. 412-420 ◽  
Author(s):  
Aleksandr Gudkov ◽  
Elena Dedkova ◽  
Kristina Dudina
Keyword(s):  
Relevant Information ◽  
Tourism Industry ◽  
Point Of View ◽  
Content Type ◽  
Qualitative Research Methodology ◽  
Recent Developments ◽  
Survey Results ◽  
The Subject ◽  
Tourism And Hospitality ◽  
The Impact

PurposeThis paper aims to discuss recent developments in the Russian tourism industry and the main reasons for new initiatives in local destination development.Design/methodology/approachThe study is based on qualitative research methodology. A summary of key literature is presented alongside the analysis of the survey results.FindingsThis paper sheds light on the challenges and changes that took place in the Russian tourism business between 2014 and 2017. The subject is poorly covered in academic literature. The basic data for analysis presented in official statistics are scarce. Therefore a more effective way of obtaining relevant information was to conduct a survey using a semi-structured questionnaire, with tourism business actors as respondents.Research limitations/implicationsThis paper provides mostly conceptual analysis based on limited empirical data; directions for further empirical research are proposed in the conclusion.Originality/valueThe paper reveals something of the impact of economic and geopolitical factors, both negative and positive ones, on the restructuring of the Russian tourism market and the emergence of promising opportunities for the development of new domestic destinations. As a result, tourism market actors are able to become more diverse.

Restart tourism | build the future

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rita Marques
Keyword(s):  
Value Chain ◽  
Great Influence ◽  
Point Of View ◽  
Political Community ◽  
Data Systems ◽  
Scientific Publications ◽  
Economic Point ◽  
Content Type ◽  
The Future ◽  
The Impact

PurposeThis viewpoint aims to explore the question: How can we restart and monitor the path towards the tourism of the future?Design/methodology/approachThis paper identifies the progress made at scientific, institutional, political and technological levels, and how it is possible to foresee that we will enter in a new era of tourism indicators.FindingsA significant body of literature clearly demonstrates that tourism cannot be viewed simply from an economic point of view as it has a great influence on sociocultural and environmental dimensions. The impact of tourism and how to ensure its long-term success has been invoked for the last few decades, leading to the direct consideration of sustainability indicators in a wide array of scientific publications. However, despite significant advances, the lack of funding, lack of support or interest from the political community, bureaucracies or lack of methodological guidance and of technical skills along the entire value chain pose clear challenges to the development and adoption of wide data systems to support sustainable tourism policies.Originality/valueThe paper sheds light on the Portuguese position regarding the recovery of the tourism sector in the aftermath of the COVID-19 pandemic. It also highlights the commitment to knowledge and monitoring of sustainability in tourism, articulated at international level, and how this is essential in order to make progress and to overcome the challenges facing the sector. At the same time, it demonstrates how fundamental it is to identify solutions to boost the potential of tourism as an economic, social, environmental and cultural phenomenon.

Photometric Normalization Techniques for Illumination Invariance

2010 ◽  
pp. 279-300 ◽  
Author(s):  
Vitomir Štruc ◽  
Vitomir Štruc ◽  
Nikola Pavešic ◽  
Nikola Pavešic
Keyword(s):  
Face Recognition ◽  
Research Effort ◽  
Histogram Equalization ◽  
Point Of View ◽  
Illumination Variation ◽  
Variation Problem ◽  
Total Variation Model ◽  
The World ◽  
The Impact ◽  
Anisotropic Smoothing

Face recognition technology has come a long way since its beginnings in the previous century. Due to its countless application possibilities, it has attracted the interest of research groups from universities and companies around the world. Thanks to this enormous research effort, the recognition rates achievable with the state-of-the-art face recognition technology are steadily growing, even though some issues still pose major challenges to the technology. Amongst these challenges, coping with illumination-induced appearance variations is one of the biggest and still not satisfactorily solved. A number of techniques have been proposed in the literature to cope with the impact of illumination ranging from simple image enhancement techniques, such as histogram equalization, to more elaborate methods, such as anisotropic smoothing or the logarithmic total variation model. This chapter presents an overview of the most popular and efficient normalization techniques that try to solve the illumination variation problem at the preprocessing level. It assesses the techniques on the YaleB and XM2VTS databases and explores their strengths and weaknesses from the theoretical and implementation point of view.

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