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A Comparative Analysis between FFT, EMD, and EEMD for Epilepsy Detection

Abstract: Context: Epilepsy is a neurological disease that affects more than 50 million people worldwide, causing recurrent seizures, with a significant impact on patients’ quality of life due to abnormally synchronized neuronal activity.Method: This article discusse

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Automated Breast Tumor Detection and Segmentation Using the Threshold Density Algorithm with Logistic Regression on Microwave Images

Abstract: Context: Breast cancer remains a major health burden worldwide, necessitating improved screening modalities for early detection. However, existing techniques such as mammography and MRI exhibit limitations regarding sensitivity and specificity. Microwave ima

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Scheduling in a Simple Assembly Robotics Cell to Minimize Earliness and Tardiness

Abstract: Background: Robotics Assembly Cells (RAC) have been designed to meet the f lexibility requirements demanded by today’s globalized market. The objective is to manufacture a vast variety of products at a low cost, which requires equipment with a high level of

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Explainable Artificial Intelligence as an Ethical Principle

Abstract: Context: The advancement of artificial intelligence (AI) has brought numerous benefits in various fields. However, it also poses ethical challenges that must be addressed. One of these is the lack of explainability in AI systems, it i.e., the inability to un

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Mobile Application for Recognizing Colombian Currency with Audio Feedback for Visually Impaired People

Abstract: Context: According to the census conducted by the National Department of Statistics (DANE) in 2018, 7.1\% of the Colombian population has a visual disability. These people face conditions with limited autonomy, such as the handling of money. In this context,

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Determining the Pulping Conditions and Properties of Unbleached Pulp from Uruguayan Pinus Taeda

Abstract: Context: In Uruguay, numerous Pinus taeda plantations are at final-turn age, but they still do not have commercial destination and are exported as green-wood logs. For the development of this sector, it is necessary to strive towards a comprehensive processi

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Community-Based Early Warning System Model for Stream Overflow in Barranquilla

Abstract: Context: This work aims to design and create an early warning model based on the community as an alternative for the mitigation of the disaster caused by the streams that overflow in Barranquilla (Colombia). This model is based on the contributions in social

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Methodology for the Selection of Risk Response Actions while Considering Corporate Objectives in the Metalworking Industry

Abstract: Context: Projects in metalworking companies are affected by risk. Proper risk management depends on the responses provided to improve the project plan. However, multiple potential actions may result in constraints due to multiple factors. The purpose of this

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