Armin Alibasic

• Computer Science Ph.D. at Khalifa University of Science and Technology
• Docent at University of Donja Gorica

Icterus is a medical condition characterized by the yellowing of the skin and sclera caused by the accumulation of bilirubin in the body. There are three main types of icterus: extrahepatic, intrahepatic, and prehepatic, and accurately diagnosing the type is crucial for treatment. Machine learning classification techniques can aid in the accurate a...

Meningitis is a life-threatening disease that can lead to severe neurological damage and death if not diagnosed and treated in a timely manner. In this study, the application of machine learning methods to create a predictive model for meningitis diagnosis based on clinical signs, blood, protein, and other health parameters is explored. Our goal is...

Introduction Fast-emerging technologies are making the job market dynamic, causing desirable skills to evolve continuously. It is therefore important to understand the transitions in the job market to proactively identify skill sets required. Case description A novel data-driven approach is developed to identify trending jobs through a case study...

The aim of this paper is to analyze customer satisfaction by applying natural language processing (NLP). We have collected over 50,000 airline reviews from TripAdvisor data in the period from 2016 until 2019. This analysis demonstrates the capability of discovering the pain points of the customers by using data science techniques related to NLP. Ou...

New technologies are emerging on a continual basis with drastic trajectories and wider penetration into the job market. Health care is among the top ten sectors in terms of talent turnover rates. Hence, being proactive—by predicting what skills will be in demand, is essential to be prepared for these changes. To predict such transitions, this paper...

Labor force is one of the key components for economic growth of energy industry. The increasing demand for energy resulted from population growth and thrive for economic developments has attract the attention of several researchers. Hence, the demand for renewable energies (RE) become essential due to several factors including global population gro...

By leveraging advancements in information and communications technology (ICT), Smart Cities offer many potential benefits like improved energy efficiency, management and personal security. However, this dependence on ICT also makes smart cities prone to cyber attacks. In this paper, we investigate the topic of cybersecurity for smart cities. We sho...

In challenging economic times, the ability to monitor trends and shifts in the job market would be hugely valuable to job-seekers, employers, policy makers and investors. To analyze the job market, researchers are increasingly turning to data science and related techniques which are able to extract underlying patterns from large collections of data...

The Syrian civil conflict has been emerged since 2011 and plenty of news articles have been reviewing this conflict. However, people’s reactions to these news are somehow fluctuating from time to time. In this study, we are trying to identify the characteristics of news articles that go viral and compare it to news that are less viral. We collected...