Optimal control of state-dependent switched systems and time-delay systems is a challenge in the control community. Classical optimality conditions-based methods rely on heavy mathematical analysis for time-delay syst...
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Physics-based compact modeling requires substantial work to formulate equations and fine-tune coefficients. In this work, we propose a machine learning (ML)-assisted compact model to capture alternating current (AC)-i...
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Millimeter wave (mmWave) radar has recently become a popular choice of sensing technology for privacy-protecting health monitoring solutions. Though mmWave radar improves upon invasive alternatives like computer visio...
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In this paper, we describe our effort to extend the development of a standard framework for analog computing through further developing and integrating an existing high level synthesis (HLS) tool for analog system des...
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A novel convolutional layer based on transmissive intelligent surfaces (TISs), which operates in the radio-frequency (RF) domain, is introduced for analog over-the-air (OTA) computation in this paper. To be specific, ...
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This innovative practice WIP paper presents a pilot study of an educational intervention designed to transform the way students view and overcome struggles that are a normal-and essential-part of the learning process....
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The classical iteratively reweighted least-squares (IRLS) algorithm aims to recover an unknown signal from linear measurements by performing a sequence of weighted least squares problems, where the weights are recursi...
The spin-orbit torque magnetoresistive random access memory (SOT-MRAM) is a next generation spintronic memory device known for its fast switching speed, high endurance and non-volatility. However, as this technology i...
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This paper reviews key advancements in RFID technology over the past decade and proposes future directions for its evolution. Notable progress has been made in additively manufactured and millimeter-wave (mm-wave) RFI...
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This paper introduces a novel over-the-air computation method that utilizes low-complexity transmissive intelligent surfaces (TISs) for neural network inference. It is demonstrated that the signal propagation model th...
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