The main goal of the research was to develop a multi-criteria hybrid model for evaluating the region in the context of sustainable tourism, based on the example of the countries of the Visegrad Group. The research uses the mathematical apparatus of expert evaluation, theory of fuzzy sets, fuzzy...

The primary motivation for this study is the recent growth and increased interest in artificial intelligence (AI). Despite the widespread recognition of its critical importance, a discernible scientific gap persists within the extant scholarly discourse, particularly concerning exhaustive...

The increasing use of intelligent data processing and its capacity to handle vast data sets enhance efficiency and effectiveness in production management. Consequently, machine learning models have become essential for decision-making in this domain. Previous literature reviews have not...

Background: Cargo theft represents a persistent challenge to last-mile logistics in the peripheral regions of São Paulo, Brazil, compromising transportation security and increasing operational costs. These high-crime areas disrupt supply chain stability and hinder e-commerce growth. Traditional...

Renewable energy communities (RECs) are attracting widespread interest as a pillar of sustainable energy transitions, yet their on-the-ground implementation remains limited. They are often confined to pilot projects and small-scale deployments, remaining a marginal element of power systems in...

Bike accidents on roads have become a significant concern nowadays. People suffer due to the tragic consequences of road accidents due to the reluctance of bike riders to wear proper helmets, reflecting their lack of awareness, leading to fatalities. This study addresses classification and...

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...

Modelling claim frequency and claim severity are topics of great interest in property-casualty insurance for supporting underwriting, ratemaking, and reserving actuarial decisions. Standard Generalized Linear Models (GLM) frequency-severity models assume a linear relationship between a function...

The adoption of artificial intelligence (AI) is rapidly growing in sectors such as healthcare, finance, transportation, manufacturing and entertainment. Its increasing popularity in recent years is largely due to its ability to automate tasks, such as processing large amounts of information or...

The adoption of artificial intelligence (AI) is rapidly growing in sectors such as healthcare, finance, transportation, manufacturing and entertainment. Its increasing popularity in recent years is largely due to its ability to automate tasks, such as processing large amounts of information or...

Artificial intelligence (AI) is poised to revolutionize healthcare delivery in the United States and around the world. As AI becomes an integral part of the healthcare workflow, it will change the way we model and analyze healthcare delivery and upend the paradigm that has dictated how...

Artificial intelligence (“AI”) is everywhere. And the recent explosion of new AI technologies and tools has introduced many new terms that you need to know to understand it. The technology fuels virtual assistants, like Apple’s Siri, helps physicians to spot cancer in MRIs and allows your...

In many consulting environments, the expert often assertively recommends the client to take an action but is vague about the probability of that action’s outcomes, making the recommendation ambiguous. This paper analytically investigates this phenomenon by incorporating the client’s optimism...

Finding a free parking space nowadays is a recurring problem in increasingly crowded pub- lic parking lots. The present study offers a solution that is based on the analysis of zenith images using artificial vision and is capable of automatically analyzing both the available spaces in the...

Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial intelligence (AI) has shown high success...

Artificial intelligence (AI) applications are already integrated and expected to expand within the aviation sociotechnical ecosystem. Machine Learning (ML) models are capable and could excel on accident report classification tasks within the aviation context, assuming adequate and proper...

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...

Machine learning algorithms dedicated to financial time series forecasting have gained a lot of interest. But choosing between several algorithms can be challenging, as their estimation accuracy may be unstable over time. Online aggregation of experts combine the forecasts of a finite set of...

The corporate environment is always characterized by a high degree of volatility, uncertainty, complexity and ambiguity. These aspects influence Human Resource Management (HRM) just like other areas of the company. In the context of decision problems, especially in HRM, it is not always possible...

This study presents an integrated simulation- mathematical programming-expert system approach to develop an optimal solution for maintenance management in a complex public infrastructure system. First, a model of maintenance system is made through a computerized simulation with respect to the...

A broad range of companies around the world has welcomed artificial intelligence (AI) technology in daily practices because it provides decision-makers with comprehensive and intuitive messages about their operations and assists them in formulating appropriate strategies without any hysteresis....

This work dissects the application of big data and artificial intelligence (AI) technology in environmental protection monitoring. The application principle of big data in environmental data collection is analysed based on atmospheric science and AI technology. In addition, a combined model of...

Global trade volumes and globalization hitting records every year imply growth of commercial operations among more companies each time and inevitable dealing with exchange rate risk. As an established practice, some enterprises make payments in a timeframe agreed to in a commercial contract....

Combining fuzzy theory with data envelopment analysis (DEA) is proved to be an advantageous tool to assess the performance of decision-making units (DMUs) under uncertainty. As innovative activities and processes always are faced with uncertainty, this paper aims to propose a novel approach...

While Artificial Intelligence (AI) has been in existence since the Seminal work of Newell and Simon (1956), it still represents one of the significant breakthroughs that offer the opportunity for digital transformation and automation across a wide variety of industries. As defined by Colosimo et...

This paper argues for a sandbox approach to regulating artificial intelligence (AI) to complement a strict liability regime. The authors argue that sandbox regulation is an appropriate complement to a strict liability approach, given the need to maintain a balance between a regulatory approach...

Artificial Intelligence (AI) scientists are challenged to create intelligent, autonomous agents that can make rational decisions. In this challenge, they confront two questions: what decision theory to follow and how to implement it in AI systems. This paper provides answers to these questions...