Procedia Computer Science

Large Language Models (LLMs) have ushered in a major paradigm shift in Natural Language Processing (NLP), where large pre-trained Language models (LMs) have become a fundamental component of most NLP tasks. These models are intelligent enough to ...

Adverse Drug Reaction (ADR) in hospitalized patients have significant impacts on costs as well as on morbidity and mortality. A subset of ADR is preventable at the moment of prescribing. The use of supervised learning tools has been shown to be a ...

The paper presents the results of a study on the use of the online service e-Tax Office (hereinafter e-TO) recently made available by the Polish Ministry of Finance to, inter alia, implement the concept of Polish revenue authorities e-...

Maintaining assortment in a warehouse, distribution centre or retail store is expensive. We propose a method for assortment optimization that allows defining the top-performing products in the warehouse, distribution centre or retail store. It ...

The purpose of the research is to study the cryptocurrency data listed on Binance, and design a profitable strategy based on the findings. The data covers over 150 selected cryptocurrencies. The study aims to detect anomalies in the volume and ...

In the paper, the authors check the behaviour of Bluetooth Low Energy protocol in a popular smart wristband and a microcontroller in the heart rate monitoring application. The measurements were collected using a development board with the ESP32 ...

The rapid development of Information Technology has led to the emergence of Cloud Computing as a vital tool for businesses seeking cost-effective and efficient IT solutions. This study aims to investigate the perception, advantages, disadvantages, ...

A dialogue state tracker is a component in a task-oriented dialogue system that monitors the current state of a conversation and gives information about its context and history to other system components. The dynamic and open-ended character of ...

This paper discusses an Internet of Things (IoT)-based energy meter for photovoltaic systems (PV) to forecast energy production at industrial locations. Based on an ESP-32 card, the proposed IoT device collects energy consumption data from the sub-...

The paper concerns the role of e-leadership in organizations operating in crisis caused by COVID-19 pandemic. Based on the extensive literature review, it introduces a new model of organizational performance based on e-leadership, as a response ...

Automation of manufacturing processes, commonly recognized as a pro-efficiency solution, is not always a beneficial solution for the organization. There are cases when automation becomes a costly trap, having a negative impact on the broadly ...

Detecting structural damage is a fundamental process for visually assessing the quality of any building, such as a bridge or skyscraper. Unfortunately, access to inspect buildings, especially in the case of very tall buildings, is usually not ...

The COVID-19 pandemic has radically changed our daily habits. One of these habits introduced is the use of a face mask, to avoid the spread of the infection, to be used especially in closed and crowded environments. To protect people and to ...

Machine learning is treated nowadays as a Holy Grall that solves all problems. However, it is difficult to deny a large area of application and high capabilities to deal with difficult problems, one should have in mind that there are still many ...

In this work, we propose a system for video understanding through zero-shot reading comprehension using Socratic Models. Specifically, we create a language-based world-state history of events and objects present in a scene captured by an Unmanned ...

In this paper, we analyze selected structural and dynamic properties of uninorm Petri nets in terms of their use in modeling knowledge-based systems operating in an uncertain environment. The uninorm Petri nets use uninorms to describe their ...

This paper presents a novel learning algorithm formulated as a classification problem with smartphone-inertial measurement as predictor. For this reason, we will focus on the Symbolic Aggregate approXimation (SAX) as a low-cost classification ...

The article presents the results of work on the application of the WASPAS method in the selection of optimal parameters of the water-abrasive cutting process, which significantly affect the course of the research process, while allowing the user ...

Diabetes is one of the most dangerous diseases humanity faces. What is surprising is how widespread diabetes is among children, even those very young. Many of those children are admitted to hospitals and underlay intensive diabetic therapy. The ...

To investigate the impact of the warranty's quality signal on the pricing and warranty decisions under the background of quality information asymmetry, this paper considers a dual-channel supply chain with a manufacturer and a retailer. We first ...

Class diagram is an important model in object-oriented software development. A class diagram specifies the structure of a system with the system's classes, classes’ attributes and methods, and relations among classes. Sometimes class diagrams ...

The problem of inland freight planning from the perspective of a medium size transport company operating in the EU market is studied. The authors embark on a path to put Information Technologies to work in order to reduce manual overhead and ...

COVID-19 is a challenging disease that was declared as global pandemic in March 2020. As the main impact of this disease is located in the pulmonary regions, chest X-ray devices are very useful to understand the severity of the disease on each ...

Patients at high risk of contracting COVID-19 require specialized monitoring throughout their illness to ensure optimal treatment at each stage. To support this monitoring, Computer-Aided Diagnosis (CAD) methods analyze clinical data to estimate ...

This study explores the benefits and challenges of using robotic process automation (RPA) and collaborative robots (CoBot) in transport management. The combination of RPA and CoBot can streamline processes, minimize errors, and boost productivity. ...

The main aim of this paper is to present the machine learning (ML) extension to the authors’ original conceptual framework for implementing temporal big data analytics (TBDA) in organizations. The framework has been also supplemented with a ML-...

The performance of recognition systems can be significantly affected by various factors, with facial expression poses and lighting changes being the main confounding factors. In order to minimize their impact, we propose an intriguing method in ...

This article analyzes the subject of wearables and Sustainable Development (SD) in the scientific literature and is an attempt to present possible implications for Green Jobs (GJs) and the green labor market. There is a growing trend toward ...