This article presents a new structure of image sensor that compresses the image information based on the compressive sensing (CS) technique and employing a measurement matrix. In the proposed structure to perform comp...
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Bluetooth Low Energy (BLE) is emerging as an appealing solution for several Industrial Internet of Things (IIoT) applications that require low cost and low power consumption. In particular, in this context, some appli...
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In this paper, we proposed a three-dimensional space vector pulse width modulation (3D SVPWM) switching method that enables to distribute the switching loss of each phase and mitigate the common-mode voltage (CMV) for...
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This study presents a dual-band microstrip patch antenna for wireless body area network (WBAN). This single antenna is capable of covering the two most common frequencies. The patch antenna is made up of a G-slot. The...
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This paper outlines an approach for monitoring the aging and integrity of circuits using Resistive Random Access Memory (RRAM) devices. The intrinsic properties of these devices can be utilized in conjunction with cir...
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Due to the advancement of technology network has become a part of our daily life. Thinking about life without network has become impossible. Sharing important and confidential information through network has become co...
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Federated learning (FL) offers a decentralized training approach for machine learning models, prioritizing data privacy. However, the inherent heterogeneity in FL networks, arising from variations in data distribution...
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In the realm of advanced machine learning, a burgeoning paradigm, known as deep machine learning, has emerged to address intricate, high-dimensional data in a structured manner, taking cues from biological inspiration...
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In several high-speed computer applications, ordinary differential equations (ODEs) are often utilized. Modern CPUs, however, usually offer a modest throughput for these systems. This paper discusses the implemented d...
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This study presents an alternative approach to develop low-power (744nW) analog classifiers capable of efficiently handling multiple input features while maintaining high levels of accuracy and minimizing power consum...
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