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Applied System Innovation, Volume 7, Issue 2

April 2024 - 15 articles

Cover Story: This paper investigates the integration of OpenAI’s ChatGPT into business-process management (BPM), particularly focusing on the automotive after-sales sector. The author assesses how ChatGPT, through process-mining techniques, enhances operational efficiency and customer satisfaction by reducing process execution times. The findings suggest significant improvements in service delivery stages, underlining ChatGPT’s potential to reshape conventional business processes. This study contributes to understanding AI’s role in optimizing complex service operations promoting a more efficient, customer-centric approach in the automotive industry. View this paper
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Articles (15)

  • Article
  • Open Access
20 Citations
12,732 Views
13 Pages

Technology readiness levels (TRLs) is a well-established and widely used approach for defining the readiness of new technology. It assesses technology maturity against specific benchmarks, ranging from level 1 (concept) to level 9 (market solution)....

  • Article
  • Open Access
4 Citations
3,911 Views
21 Pages

Mobile devices have the potential to transform education and society. Promoting mobile learning and enhancing teachers’ digital and entrepreneurial skills are essential in achieving this goal. This study analyses the conditions under which the...

  • Article
  • Open Access
2 Citations
3,816 Views
13 Pages

A Comparative Analysis of Oak Wood Defect Detection Using Two Deep Learning (DL)-Based Software

  • Branimir Jambreković,
  • Filip Veselčić,
  • Iva Ištok,
  • Tomislav Sinković,
  • Vjekoslav Živković and
  • Tomislav Sedlar

The world’s expanding population presents a challenge through its rising demand for wood products. This requirement contributes to increased production and, ultimately, the high-quality and efficient utilization of basic materials. Detecting de...

  • Article
  • Open Access
6 Citations
5,180 Views
19 Pages

Purpose: The advancements in deep learning and AI technologies have led to the development of such language models, in 2022, as OpenAI’s ChatGPT. The primary objective of this paper is to thoroughly examine the capabilities of ChatGPT within th...

  • Article
  • Open Access
2 Citations
4,399 Views
31 Pages

This article introduces a groundbreaking medical information system developed in Salesforce, featuring an automated classification module for ocular and skin pathologies using Google Teachable Machine. Integrating cutting-edge technology with Salesfo...

  • Article
  • Open Access
7 Citations
5,425 Views
21 Pages

Automatic dependent surveillance-broadcast (ADS-B) is the future of aviation surveillance and traffic control, allowing different aircraft types to exchange information periodically. Despite this protocol’s advantages, it is vulnerable to flood...

  • Article
  • Open Access
1 Citations
2,810 Views
16 Pages

Analysing and Computing the Impact of Geometric Asymmetric Coils on Transformer Stray Losses

  • Ivan A. Hernandez-Robles,
  • Xiomara Gonzalez-Ramirez,
  • Juan C. Olivares-Galvan,
  • Rafael Escarela-Perez and
  • Rodrigo Ocon-Valdez

Designing and manufacturing transformers often involves variations in heights and thicknesses of windings. However, such geometric asymmetry introduces a significant impact on the magnitude of stray transformer losses. This study examines the effects...

  • Article
  • Open Access
4 Citations
3,954 Views
17 Pages

Predicting Road Traffic Collisions Using a Two-Layer Ensemble Machine Learning Algorithm

  • James Oduor Oyoo,
  • Jael Sanyanda Wekesa and
  • Kennedy Odhiambo Ogada

Road traffic collisions are among the world’s critical issues, causing many casualties, deaths, and economic losses, with a disproportionate burden falling on developing countries. Existing research has been conducted to analyze this situation...

  • Article
  • Open Access
15 Citations
12,171 Views
17 Pages

Industry 4.0 and Smart Systems in Manufacturing: Guidelines for the Implementation of a Smart Statistical Process Control

  • Lucas Schmidt Goecks,
  • Anderson Felipe Habekost,
  • Antonio Maria Coruzzolo and
  • Miguel Afonso Sellitto

Digital transformations in manufacturing systems confer advantages for enhancing competitiveness and ensuring the survival of companies by reducing operating costs, improving quality, and fostering innovation, falling within the overarching umbrella...

  • Article
  • Open Access
2 Citations
2,923 Views
18 Pages

In aerial surveillance systems, achieving optimal object detection precision is of paramount importance for effective monitoring and reconnaissance. This article presents a novel approach to enhance object detection accuracy through the integration o...

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Appl. Syst. Innov. - ISSN 2571-5577