The progress of e-mail system has accelerated the development of a workflow system on the Internet. Conventionally, most organizations just forward the documents using traditional e-mail or static workflow system. For...
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Manufacturing of 3D stacked IC chips has became feasible recently. But testing of these 3D ICs is becoming important in the semiconductor industry. Now a days also embedded core based 3D ICs are equally popular. Hence...
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Automated gestures recognition is becoming a standard as it provides improved human health without getting in the way of daily life routine. The goal of this proposed approach is to support the innovative research for...
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This paper proposes a novel channel estimation method for TD-HSPA system in rapidly time-varying environments. We use a linear prediction model to depict the channel impulse response within a timeslot, then a least sq...
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Metamaterial absorbers are an advancement in material science as they provide more advantages in comparison to conventional materials. Achieving miniaturization with a multilayered structure is the primary challenge h...
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This paper proposes a statistical analysis of the lightning-induced voltages on overhead lines in case of lossy ground. The analysis, which assumes three random input variables, namely channel-base current peak value,...
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Efficient shortest path calculation has been studied extensively, in particular, in the distributed environment. However, preserving privacy in the cloud environment has just attracted latest attention. To preserve fi...
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Kserve, commonly referred to as KFServing, is an open-source serving framework for machine learning (ML) models that runs on Kubernetes. enables the deployment, servicing, and management of ML models in a production e...
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In recent years, research on stress has been actively conducted because of an increase in demand for mental health care. In this paper, simultaneous measurements of biosignals by electrocardiogram (ECG), near-infrared...
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The primary objective of this research is to develop and evaluate combined cryptocurrency price prediction models using Long Short-Term Memory (LSTM) neural networks along with traditional time series models and machi...
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