Jun Myeong Kim, Jang Young Jeong, Shin Jin Kang, Beomjoo Seo^*

CMC-Computers, Materials & Continua, Vol.86, No.2, pp. 1-16, 2026, DOI:10.32604/cmc.2025.071084 - 09 December 2025

Abstract Game Quality Assurance (QA) currently relies heavily on manual testing, a process that is both costly and time-consuming. Traditional script- and log-based automation tools are limited in their ability to detect unpredictable visual bugs, especially those that are context-dependent or graphical in nature. As a result, many issues go unnoticed during manual QA, which reduces overall game quality, degrades the user experience, and creates inefficiencies throughout the development cycle. This study proposes two approaches to address these challenges. The first leverages a Large Language Model (LLM) to directly analyze gameplay videos, detect visual bugs, and… More >

Arvind Mukundan^1,2, Riya Karmakar¹, Devansh Gupta³, Hsiang-Chen Wang^1,4,*

CMC-Computers, Materials & Continua, Vol.86, No.1, pp. 1-23, 2026, DOI:10.32604/cmc.2025.069646 - 10 November 2025

Abstract Modern manufacturing processes have become more reliant on automation because of the accelerated transition from Industry 3.0 to Industry 4.0. Manual inspection of products on assembly lines remains inefficient, prone to errors and lacks consistency, emphasizing the need for a reliable and automated inspection system. Leveraging both object detection and image segmentation approaches, this research proposes a vision-based solution for the detection of various kinds of tools in the toolkit using deep learning (DL) models. Two Intel RealSense D455f depth cameras were arranged in a top down configuration to capture both RGB and depth images… More >

Mohammad Alkhatib^*

Computer Systems Science and Engineering, Vol.41, No.3, pp. 975-995, 2022, DOI:10.32604/csse.2022.021398 - 10 November 2021

Abstract Improving the quality assurance (QA) processes and acquiring accreditation are top priorities for academic programs. The learning outcomes (LOs) assessment and continuous quality improvement represent core components of the quality assurance system (QAS). Current assessment methods suffer deficiencies related to accuracy and reliability, and they lack well-organized processes for continuous improvement planning. Moreover, the absence of automation, and integration in QA processes forms a major obstacle towards developing efficient quality system. There is a pressing need to adopt security protocols that provide required security services to safeguard the valuable information processed by QAS as well.… More >

Waleed Rashideh^1,*, Omar Abdullah Alshathry¹, Samer Atawneh², Hussein Al Bazar³, Mohammed Said AbualRub⁴

Intelligent Automation & Soft Computing, Vol.26, No.6, pp. 1285-1307, 2020, DOI:10.32604/iasc.2020.012995 - 24 December 2020

Abstract Scientific programs in higher educational institutes are measured by their performances in showing evidences for expected quality assurance levels and for obtaining the academic accreditation. However, obtaining an accreditation for a scientific program is a lengthy process, as it requires extensive efforts from all members belonging to the program. The Accreditation Board for Engineering and Technology (ABET) accreditation is a common form of quality assurance that is based on different areas such as computing, engineering and sciences. In order to determine the ABET accreditation, several processes and methods are assessed to guarantee the required accreditation. More >

Xiaodong Liu¹, Qi Liu^1,*

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 179-194, 2018, DOI:10.32604/cmc.2018.04025

Abstract In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselves. During the measurement, collection and transmission of electricity load data in a HEMS sensor network, however, problems can be caused on the data due to faulty sensing processes and/or lost links, etc. In order to ensure the quality of retrieved load data, different solutions have been presented, but suffered from low recognition rates and high complexity. In this paper, a validation and repair method is presented to detect potential failures More >

Neil D’Souza¹, D. Andrew Loblaw¹, Alexandre Mamedov², Linda Sugar³, Lori Holden¹

Canadian Journal of Urology, Vol.19, No.3, pp. 6256-6260, 2012

Abstract Introduction: Estimating the risk of extraprostatic extension and the probability of recurrence with different treatment modalities is common practice in cancer management. A strong predictor of recurrence and organ-confined disease is tumor grade. However, differences exist between genitourinary and non-specialist pathologists in grading prostate cancer. As such, the primary objective of this study was to assess the accuracy of non-specialist prostate cancer biopsies at our institution by analyzing the proportion of cases changing pathologic risk category upon expert review.
Materials and methods: Log books from 2003, where our genitourinary pathologists reviewed prostate needle-core biopsies, were used to… More >

Tracy Sexton^1,2, George Rodrigues^1,2,3, Ed Brecevic^1,2, Laura Boyce¹, Denise Parrack¹, Michael Lock^1,2, David D’Souza^1,2

Canadian Journal of Urology, Vol.13, No.6, pp. 3327-3334, 2006

Abstract Objective:To assess accuracy of recorded prostate cancer stage after implementation of a quality assurance staging improvement plan.
Methods and materials:Genitourinary multidisciplinary TNM staging guidelines were prospectively implemented. Educational programs for health records technicians (HRT) and clinicians preceded implementation of the new guidelines. Patient stage information was entered into the Oncology Patient Information System (OPIS) as part of the usual operations of the cancer center by an HRT. Physician and HRT auditors performed a subsequent quality assurance audit on 97 prostate cancer patients seen over a 2-month period. Assessment of staging accuracy and reasons for discrepancies between the… More >