Power is a central phenomenon in human societies. Sociologists, politicians, philosophers in all cultures try to understand emergence and change processes of power. What was missing for a long time is measurement of power. First attempts were made in the last decades. This contribution...

People with Parkinson's Disease (PD) might struggle with sadness, restlessness, or difficulty speaking, chewing, or swallowing. A diagnosis can be challenging because there is no specific PD test. It is diagnosed by doctors using a neurological exam and a medical history. This study proposes...

Global cyber-attacks significantly impact the economy, society, organizations, and individuals. Existing research on cyber-attacks lacks in demonstrating Artificial Intelligence (AI) based analytical solutions for providing country-wide cyber threat intelligence. Cyber strategists at a national...

The massive explosion of literature, theory, and methods on all aspects of decision-analytics, machine learning and artificial intelligence, over the past 20 or so years has brought a rapid specialization in each of the substrata of the fields that are using them. The sharp focus on empirical...

Existing studies on Twitter-based natural disaster analysis suffer from shortcomings like limitations on supported languages, lack of sentiment analysis, regional restrictions, lack of end-to-end automation, and lack of Mobile App support. In this study, we design and develop a fully-automated...

Supplier selection is an important process in supply chain management that sets a foundation for a long-term partnership with suppliers that can greatly contribute to the success or failure of a business. This study aims to identify, validate and propose a comprehensive list of supplier...

Artificial Intelligence (AI) uses systems and machines to simulate human intelligence and solve common real-world problems. Machine learning and deep learning are Artificial intelligence technologies that use algorithms to predict outcomes more accurately without relying on human intervention....

In everyday life, many decisions are made, from personal and individual issues to major issues. In most decision-making topics, there are generally several goals and factors for discussion that are analyzed by multi-objective models. Researchers have conducted various studies on multi-objective...

This study proposes an integrated Decision Support System (DSS) with Multi-Criteria Decision-Making (MCDM) to evaluate trainers in organizations and choose the most suitable one(s) for a training program. The clustering stage determines the most appropriate number of trainees to be assigned to a...