Abstract: Aiming at the problem that most thermal error prediction models for machine tools adopt a single neural network architecture, which is difficult to ...
Abstract: Olfactory perception prediction plays a vital role in multi-modal sensory research, offering insights for health monitoring and personalized experiences. In this work, we propose a novel CNN ...
Abstract: Noninvasive vital sign monitoring, especially blood pressure (BP), is crucial for evaluating overall health and identifying early indicators of medical issues. Photoplethysmography (PPG) is ...
New York State is betting that stricter oversight is the only way to get battery storage built outside of Manhattan. Officials gathered at the Long Island Energy Storage Summit focused on the ...
Abstract: Lung diseases, such as asthma, pneumonia, and chronic obstructive pulmonary disease (COPD), pose considerable global health issues, making early diagnosis essential for effective treatment.
Abstract: With the continuous growth of energy demand and the proposal of carbon emission reduction target in our country, wind power, as an important green renewable energy, has become a key way to ...
Abstract: With large-scale adoption of Electric Vehicles (EVs), forecasting of charging loads is becoming crucial for utilities and network operators to understand the impact, plan for infrastructure ...
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Abstract: Analog computing paradigms have recently been explored to reduce the energy consumption of deep neural network (DNN) processing for mobile applications. Common analog approaches employ ...
Abstract: Enhancing the quality of photos taken in low light is the goal of the computer vision problem known as Low-Light Image Enhancement. Increasing the brightness, clarity, and visual ...
(CNN) — A 2014 security report resurfaced this week showing that the password for the server managing the CCTV network at the Louvre – Paris’ art museum which suffered immense financial loss after a ...
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