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Data analytics are an increasingly popular method for talent identification, and are used for a variety of decision making purposes, such as rotations and playing time. However, coaches often rely on their perceptions an...

Natural language understanding systems require a knowledge base provided with formal representations reflecting the structure of human beings' cognitive system. Although surface semantics can be sufficient in some other ...

El objetivo de esta obra es ofrecer un manual sobre los contenidos de la materia Psicología del Trabajo, y disciplinas similares o afines, con el fin de facilitar a los profesores su tarea docente y a los estudiantes e...

What is the predictive accuracy and effectiveness of algorithms designed for crime prevention purposes? Are they sufficiently transparent? Are there any inherent biases? This report presents an analysis of three algorith...

An updated metric developed to assess the degree of open data reusability, called MEtric for the evaLuation of Open DAta: Meloda 5 is presented. Previous version of the metric, Meloda 4, had six dimensions: the legal lic...

ABSTRACT Background Limited universally‐adopted data standards in veterinary medicine hinder data interoperability and therefore integration and comparison; this ultimately impedes the application of existing informati...

This paper provides a data-driven approach to apply lessons learned from Project Risk Management in the aviation industry. This is accomplished by performing a qualitative analysis to inform a second-pass quantitative an...

This article provides a comprehensive analysis of the impact of digital transformation on the system of international management, which is undergoing fundamental changes under the pressure of globalization, rapid technol...

The Theory of Planned Behavior (TPB) is a widely applied theoretical framework for predicting individual intentions and behaviors. However, its application in the knowledge payment domain remains limited. Existing studie...

This research investigates the integration of Artificial Intelligence (AI) into the implementation of the United Nations Convention on the Law of the Sea (UNCLOS) to enhance the effectiveness of maritime dispute resoluti...

Digital transformation has brought significant changes to the fields of health and education, with artificial intelligence (AI) technologies emerging as one of the most prominent components of this shift. Generative AI t...

The performance of lithium-ion batteries is critical across a range of applications, including portable devices, electric vehicles, and energy storage systems. Effective diagnostics of these battery systems require evalu...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

Internal auditing is increasingly recognized as a vital mechanism for fostering transparency and accountability within the public sector, particularly in emerging economies like Vietnam. However, the rapid onset of digit...

This article presents operational data from turboexpander units (TEU) wherein a stable temperature gradient across both the turboexpander and the turbocompressor coexists with its power imbalance. A hypothesis attributin...

Measuring employee job satisfaction in hospitals in the digital era shows that digital technologies, such as online survey platforms, mobile applications, and data analytics, have increased the efficiency of data collect...

This article emphasizes the critical importance of public administration effectiveness during a full-scale war, highlighting the capacity of government to respond efficiently to security challenges, maintain public order...

This study investigates the challenges and responses involved in shaping China’s national image through intercultural communication within the landscape of new media. It focuses on problems like cultural misunderstandi...

Machine learning has arisen with advanced data analytics. Many factors influence crop yield, such as soil, amount of water, climate, and genotype. Determining factors that significantly influence yield prediction and ide...

Recently, higher education has undergone significant changes due to the use of digital technologies and innovations. The use of innovative platforms, hybrid models and online services cannot overcome the requirements of ...

This paper provides an overview of the Internet of Things (IoT) with emphasis on enabling technologies, protocols, and application issues. The IoT is enabled by the latest developments in RFID, smart sensors, communicati...

This article presents a comprehensive study of the current state, requirements, and development prospects of the data analyst and data scientist professions in the context of digital economic transformation and dynamic c...

Incorporating polarization in computer vision tasks provides new solutions to high-level analytics, in particular when coupled with machine learning frameworks such as convolutional neural networks (CNN). A recent review...

ObjectivesThis research aims to engineer a specialized, high-speed database architecture tailored for intelligent video surveillance in critical healthcare environments. The primary objective is to overcome the input/out...