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A novel method for detecting R-peaks in electrocardiogram (ECG) signal
Abstract The R-peak detection is crucial in all kinds of electrocardiogram (ECG) applications. However, almost all existing R-peak detectors suffer from the non-stationarity of both QRS morphologyExpand
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Implementation and Comparative Study of Image Fusion Algorithms
Image Fusion is a process of combining the relevant information from a set of images, into a single image, wherein the resultant fused image will be more informative and complete than any of theExpand
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Applying convolutional neural network for network intrusion detection
Recently, Convolutional neural network (CNN) architectures in deep learning have achieved significant results in the field of computer vision. To transform this performance toward the task ofExpand
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Stock price prediction using LSTM, RNN and CNN-sliding window model
Stock market or equity market have a profound impact in today's economy. A rise or fall in the share price has an important role in determining the investor's gain. The existing forecasting methodsExpand
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Apache Spark a Big Data Analytics Platform for Smart Grid
Abstract Smart grid is a complete automation system, where large pool of sensors is embedded in the existing power grids system for controlling and monitoring it by utilizing modern informationExpand
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Detecting Android malware using Long Short-term Memory (LSTM)
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Applying deep learning approaches for network traffic prediction
Network traffic prediction aims at predicting the subsequent network traffic by using the previous network traffic data. This can serve as a proactive approach for network management and planningExpand
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Significance of incorporating chrominance information for effective color-to-grayscale image conversion
This paper provides an alternative framework for color-to-grayscale image conversion by exploiting the chrominance information present in the color image using singular value decomposition (SVD). InExpand
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Evaluating effectiveness of shallow and deep networks to intrusion detection system
Network intrusion detection system (NIDS) is a tool used to detect and classify the network breaches dynamically in information and communication technologies (ICT) systems in both academia andExpand
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