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...

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 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....

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....

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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...

This qualitative multiple-case study aims to explore the perceptions of subject matter experts (SME) about the use of artificial intelligence in international decision-making processes.This research study looks at the effect of artificial intelligence (AI) on project managerial decision-making....

This chapter provides an overview of emerging Artificial Intelligence (AI) policies and strategies at the North Atlantic Treaty Organization (NATO). The integration of AI into military operations holds implications across tactical, operational and strategic decision-making. The authors discuss...