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Zakres wyszukiwania: Wszystkie publikacje
Liczba wyników dla „C63”: 6.

Rozdział 2025

SPRINT INTO THE FUTURE: INTELLIGENT MANAGEMENT THROUGH LLM-POWERED COMPUTER SIMULATIONS IN AGILE PROJECTS

Autorzy / redaktorzy: Tomasz Wiśniewski, Rafał Szymański, Marta Starostka-Patyk

Publikacja nadrzędna: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study investigates how Large Language Models (LLMs) integrated with computer simulations can enhance intelligent management in Agile Project Management. It examines generative AI’s ability to create simulation models from natural language, enabling faster and more a…

DOI: 10.18276/978-83-8419-053-1-32 · ISBN: 978-83-8419-053-1

Rozdział 2025

TOWARD INTELLIGENT PALLET POOL MANAGEMENT – PALLET DAMAGE IDENTIFICATION AND INPUT DATA STRUCTURE IN CAMERA- AND AI-BASED DECISION SUPPORT SYSTEMS

Autorzy / redaktorzy: Mariusz Sowa, Katarzyna Kędzierska, Joanna Tuleja

Publikacja nadrzędna: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: The aim of this article is to conduct a comprehensive assessment of structural damage in reusable EPAL wooden pallets (800 × 1200 mm) and explore the potential of intelligent vision systems as tools supporting technical diagnostics and decision-making in pallet pool mana…

DOI: 10.18276/978-83-8419-053-1-31 · ISBN: 978-83-8419-053-1

Rozdział 2025

LARGE DATABASE OF AIS VESSEL TRAFFIC FOR SMART DECISION-MAKING BASED ON AI IN SHIPPING COMPANIES

Autorzy / redaktorzy: Ernest Czermański, Aneta Oniszczuk-Jastrząbek, Janusz Przewocki, Jakub Neumann, Tomasz Borzyszkowski, Elzbieta Szaruga, Michał Pluciński

Publikacja nadrzędna: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study aims to assess the effectiveness of Principal Component Analysis (PCA) in identifying anomalies and improving data quality in AIS (Automatic Identification System) datasets used for maritime monitoring and decision-making. Need for the study: AIS plays a cr…

DOI: 10.18276/978-83-8419-053-1-29 · ISBN: 978-83-8419-053-1

Rozdział 2025

A CONCEPT FOR AN INTELLIGENT TELEINFORMATION SYSTEM TO MITIGATE BOTTLENECKS AND OPTIMIZE SALES DURING RECURRING DEMAND PEAKS.

Autorzy / redaktorzy: Grzegorz Szyjewski, Tomasz Łukaszewski

Publikacja nadrzędna: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study aims to develop an intelligent teleinformatics system to alleviate bottlenecks and optimize sales efficiency during recurring demand peaks at points of sale. The system redistributes workload intensity by shifting selected tasks to periods of lower demand, the…

DOI: 10.18276/978-83-8419-053-1-27 · ISBN: 978-83-8419-053-1

Rozdział 2025

AI-POWERED KNOWLEDGE MANAGEMENT AND DECISION SUPPORT FOR IVF WITH PGT: LITERATURE REVIEW AND MODEL PROPOSAL

Autorzy / redaktorzy: Małgorzata Skweres-Kuchta, Agnieszka Skweres, Elżbieta Szaruga, Krzysztof Łukaszuk

Publikacja nadrzędna: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study aims to apply machine learning as an AI-based tool for comprehensive literature review and to propose an Integrated Clinical Management Model (ICMM) that leverages AI-driven decision support, data integration, and change management to optimize decision-making …

DOI: 10.18276/978-83-8419-053-1-23 · ISBN: 978-83-8419-053-1

Rozdział 2025

AN INNOVATIVE APPROACH TO INTELLIGENT MANAGEMENT OF RETINAL PATHOLOGY RECOGNITION BASED ON DEEP LEARNING AND INTUITIONISTIC FUZZY SETS

Autorzy / redaktorzy: Alicja Żmudzińska, Paweł Powroźnik, Maria Skublewska-Paszkowska, Katarzyna Nowomiejska, Paweł Karczmarek, Adam Kiersztyn, Kamil Jonak, Aneta Oniszczuk-Jastrząbek, Ernest Czermański, Małgorzata Skweres-Kuchta

Publikacja nadrzędna: Intelligent Management and Artificial Intelligence: Trends, Challenges, and Opportunities, Vol.2

Purpose: This study aims to improve the diagnostic effectiveness of rare retinal diseases by introducing a novel classification approach that not only enhances accuracy but also supports the intelligent management of the diagnostic process through AI-based decision systems. Fe…

DOI: 10.18276/978-83-8419-053-1-22 · ISBN: 978-83-8419-053-1