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 ...
Abstract: ’Fake news’ refers to false, inaccurate, or misleading information that spreads as real news. Fake news primarily aims to affect societies and individuals by spreading false or misleading ...
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: At present, U.S. troops are heavily equipped with stealth fighters and have been used in real battles many times, causing great losses to opponents. As the status of stealth aircraft in the ...
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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