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4 results for “Jewelry Operations”

Research Article Open Access Comparative Analysis of YOLOv5, YOLOv4, and SSD for Aircraft Detection in Airport Environments Using Remote Sensing Data

Hana Marie Marek, Marek H, Kvetoslav J. Kostelnikova, Kostelnikova K, Melis Duhter, Duhter M, Akif Mert Korol, Korol A, Hilal Kuzu, Kuzu H

International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.4.018

Accurate and efficient detection of aircraft at airports is crucial for enhancing airport security, ensuring safe operations, and improving overall air traffic management. As airports grow in complexity and traffic density increases, automated object detection…

Research Article Open Access Hyperparameter Optimization of a Faster R-CNN Model For Fault Detection In Quality Control

Abdullah Yüksel, Yüksel A, Oğuzhan Karahan, Karahan O

International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.5.023

Quality control in the industry is becoming increasingly important as a result of increasing market competition and the need for quality products. The increasing complexity of industrial processes and the increase in the amount of data available have promoted …

Research Article Open Access Prediction of Recurrence of Differentiated Thyroid Cancer with Hybrid SMOTE-Stacking Model

Erkan Akkur, Akkur E, Serkan Cizmecioğulları, Cizmecioğulları S, Ahmet Cankat Öztürk, Öztürk A

International Trend of Tech Symposium 2024 https://doi.org/10.36287/setsci.21.6.033

Differentiated thyroid cancer (DTC) is the most frequent form of thyroid cancer. Although this type of cancer shows a favourable prognosis, the risk of recurrence remains a critical concern. Early and accurate prediction of the risk of recurrence is essential …

Research Article Open Access Stock Portfolio Selection with Supervised Classification

Hasan Taş, Taş H, Esra Karasakal, Karasakal E

Proceeding of the Cognitive Models and Artificial Intelligence Conference 2024 https://doi.org/10.36287/setsci.17.1.0025

This study employs a supervised learning approach for the Stock Portfolio Selection (SPS) problem. The proposed approach solves three problems defined in the literature review: the narrow period selection problem, the proper objective selection problem, and th…