Current Trends in Signal Processing
Volume 13, Issue 3 (2023)
Published
Table of contents
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AI-Based House Price Prediction
Abstract: The housing market is one of the most dynamic and significant sectors of any economy, influencing both individual wealth and broader economic stability. Buyers, sellers, investors, and policymakers all rely on accurate housing price predictions. With the advent of artificial intelligence (AI) technologies, particularly machine learning algorithms, the task of house price prediction has seen remarkable advancements. This study provides a detailed overview of AI-based techniques for house price prediction. …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 1–7 Read article
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Signal Transduction Pathways in Xenotransplantation: Insights and Implications
Abstract: In this article, we will discuss Xenotransplantation which is used for the transplantation of tissues or organs cells from one species to another species. It holds tremendous promise for addressing the clinical shortage of human organs for transplantation. In this review we provide a comprehensive analysis of the key signal transduction involved in xenotransplantation is paramount for overcoming these hurdles and advancing the field toward clinical application. Many studies on …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 15–23 Read article
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Survey of Advanced Control Techniques for Active Power Filters in Grid Integration
Abstract: Active power filters (APFs) can increase power quality, dependability, and stability on power utilities by compensating for harmonic and reactive current components in power supplies. The performance and stability of active power filters are greatly enhanced by the control strategies used with them. When these two crucial elements start to compete, it is impossible to achieve both unity power factor (UPF) and flawless correction of current harmonics. A systematic review …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 24–34 Read article
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Steady State Visual Evoked Potential Based Brain Computer Interface System
Abstract: The steady-state visual evoked potential (SSVEP) is a brain response that can be measured by an electroencephalogram (EEG) when a subject looks at periodic luminance- or contrast-modulated stimuli. In this study, flickering Light Emitting Diode (LED) is used as visual stimulation. Mostly, brain response is recorded using an electroencephalograph (EEG) and recorded in the brain's occipital lobe which is associated with human vision. The study encompasses key stages, beginning with …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 35–43 Read article
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Implementation of K-Means clustering algorithm with technical indicators to identify Profitable stocks
Abstract: In the ever-changing world of stock market trading, accurately predicting price movements is key to maximizing profits. Technical analysis, which looks at past price data to predict future trends, provides valuable insights for investors. This paper delves into using machine learning methods, particularly the K-Means clustering algorithm, along with moving average data, to categorize daily trading patterns. By breaking down the market into clusters and examining the main patterns within …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 8–14 Read article