Navigating the world with visual impairments presents unique challenges, often limiting independence and safety. This research introduces SafeStride, a novel algorithm designed to empower visually impaired individuals...
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Distributed Beamforming (DB) technique in phased array radars is a technique that offers significant advantages over mechanically steered narrow-beam weather radars, in terms of scan rate or optimized polarimetric mea...
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Security concerns have been one of the main hinderance for large-scale industrial internet-of-things (IoT) deployments. IoT is actively deployed in industrial sectors such as mining, power generation and transmissions...
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This paper proposes a model-based explainable artificial intelligence (XAI) architecture for the detection of short circuit faults in inverter-based distribution systems. The architecture consists of two artificial ne...
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The development of software systems is preceded by an important first phase, requirements elicitation, wherein developers establish the intended functionality of a system to be developed in a series of interviews with...
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Machine learning over graphs has recently attracted growing attention due to its ability to analyze and learn complex relations within critical interconnected systems. However, the disparate impact that is amplified b...
O-band optical phase shifters based on carrier injection into adiabatic microring resonators are fabricated and characterized in 45nm CMOS. We present a design methodology for optimizing their insertion loss given tun...
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A near-optimal design of hybrid transceivers for mmWave massive MIMO downlink communications is presented in this paper. The design utilizes low-cost finite-resolution analog precoders and high-performance dirty paper...
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Addressing stress in the aging community calls for heightened attention in patient care and mental health services. To refine our comprehension of stress, this study employed electroencephalography (EEG) bio-signal da...
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We consider the problem of designing neural network classifiers that are robust when their inputs are corrupted by sparse noise. We report on a series of experiments on the MNIST image dataset where we test the perfor...
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