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85 results for “Inspection”
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Review ArticleOpen accessIn the abstractImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,475 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Intelligence in Quality Control: Transforming Manufacturing ProcessesGopinath KathiresanThe integration of Artificial Intelligence (AI) into Quality Control (QC) is transforming manufacturing by enhancing accuracy, efficiency, and productivity. Traditional QC methods, reliant on manual inspection and basic automation, often fall short in addressing the complexities of modern production environments. This paper presents a review on the application of AI, particularly machine learning, deep learning, and reinforcement learning, in manufacturing … …Journal of Computer Science, Vol. 22, Issue 1 · 12 Feb 2026 · 6,492 accessesView PDFCite
Review ArticleOpen accessIn the abstractAI-Driven Innovations in Meat Quality and Safety: Applications, Challenges, and Future DirectionsEmrobowansan Monday IdamokoroArtificial Intelligence (AI) is revolutionizing the meat sector by improving efficiency, accurateness, as well as sustainability in meat production, quality evaluation, and safety control. The conventional systems of meat inspection, handling, and processing are usually time consuming, labour-intensive, prone to contamination during handling and often susceptible to human errors. The use of artificial intelligence to drive technologies, including Deep Learning … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 3 · 28 Jan 2026 · 3,680 accessesView PDFCite
Review ArticleOpen accessIn the abstractMaintenance and Evolution Processes of Embedded Software: A Systematic Literature ReviewAloysio Augusto Rabello de Carvalho, Luiz Eduardo Galvão MartinsThe relevance of embedded systems has increased considerably due to industrial automation and the adoption of IoT and medical devices. This process demands the adaptation of software engineering techniques that involve the maintenance and evolution of software for use in embedded systems. We conducted this Systematic Literature Review (SLR) to investigate the state of the art on the topics of … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,742 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Plant Disease Identification Through Hyperspectral Imaging and AC-FNet FrameworkDhason Lita Pansy, Malaichamy MuraliThe precise identification of plant diseases is essential for optimizing agricultural practices. The impact of these diseases on food production often leads to significant revenue loss. Detecting diseases that primarily manifest symptoms in plant leaves has conventionally depended on visual inspection by plant pathologists. However, modern methodologies use machine learning and computer vision techniques to facilitate disease identification, thus addressing … …Journal of Computer Science, Vol. 21, Issue 5 · 21 May 2025 · 8,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrevalence of Chlamydia trachomatis and Neisseria gonorrhoeae infections in Republic of Korea: Impacts of Sex, Age, and Testing MethodHyeok-Jin Kwon, Sun-Gyu Kim, Junmin Lee et al.The prevalence of Sexually Transmitted Diseases (STDs) is increasing globally, necessitating a quick and accurate diagnosis method for appropriate treatment selection. An analysis of venereal diseases conducted at U2Bio (Jangwon Medical Foundation, Seoul, Republic of Korea) over a 2-year period showed that Chlamydia trachomatis (CT) and Neisseria gonorrhoeae (NG) infection rates were related to sex, age, and specimen type. We … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 29 Oct 2024 · 5,018 accessesView PDFCite