Since the Turing test, creating believable open-domain dialogues has been a basic problem in the study of artificial intelligence. Achieving success with dialogue models can greatly improve natural human-computer inte...
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To explore data-driven soft sensors and enhance the model explainability, a temporal graph convolutional network is proposed for chemical processes withdistributed outputs. It can model process variable relationships...
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Microgrid is a controllable system that supplies power generated from some distributed units operating in an islanded or grid-connected mode to a community load. Renewable energy sources are beneficial to microgrids f...
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Technology best outfits in various applications including communication, sensing, etc., In sensing application, measurands are monitored through variation in optical characteristics of signal like wavelength, phase, a...
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Privacy preservation in distributed deep learning (DDL) has received a lot of attention recently. One key approach to preserving privacy for DDL is the use of Homomorphic Encryption (HE), which allows computation on c...
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Surface plasmon resonance (SPR) is a sensitive spectroscopic technique for measuring changes in the refractive index (RI) of a medium in contact with a sensor surface. Confinement loss computation is crucial for desig...
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Human activity recognition using inertial sensors has gained significant popularity and widespread adoption in various fields, while deep learning has emerged as the dominant approach, playing a pivotal role in enhanc...
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As a result of climate change, renewable energy sources like solar and wind have become the most popular choice for distributed generators (DGs). Power sources including wind, solar, biomass, mini-hydro, fuel cells, a...
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Pressure based tactile sensing is an essential part of how humans interact withtheir environment. Taking inspiration from a structure naturally optimized to sense force, the human fingertip, this work presents a fing...
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In the realm of coal mining, safety and risk management stand as paramount challenges, underscored by the inherent perils like structural failures and the presence of hazardous gases such as methane. Recognizing the u...
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