Titlebook: Innovative Computing; Proceedings of the 5 Yan Pei,Jia-Wei Chang,Jason C. Hung Conference proceedings 2022 The Editor(s) (if applicable) an

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Bronchiectasis Detection and Classification Based on Deep Learning the detection and classification of bronchiectasis. Current studies on bronchiectasis mainly focus on high resolution CT (HRCT), ignoring the more common low-dose CT (LDCT). Methodologically, existing studies do not use an authoritative standard to classify the severity of bronchiectasis. In effect

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Analysis for Sequential Frame with Facial Emotion Recognition Based on CNN and LSTMhat embodies a variety of feelings, thoughts, and behaviors. There are many ways to express emotions, such as facial expressions, tone of voice, and behaviors. Facial emotion recognition has become a popular subject in the domain of deep learning. However, most of the facial emotion recognition meth

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Patent Litigation Between NPEs and Non-NPEs: Being Trapped or Moving Forward?who do not own it. Unlike operating companies (non-NPEs), NPEs acquire patents from other companies and sometimes use the patents to file aggressive lawsuits for the purpose of profits. Such litigation is inefficient and counterproductive in that it stifles innovation and increases costs. However, i

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Development of Automatic Voltage Stabilization System for Substation Using Deep Learningt uncertainty about voltage stabilization but also makes efficient operation in consideration of the economic feasibility of power facilities impossible. Therefore, this paper proposes an automatic voltage stabilization system that can automatically perform voltage adjustment. The proposed system pr

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Developing an Accessibility Assessment System for Mobile Devicesut and less physical efforts in operating touchscreen, most people find it is easier for use compared to traditional input devices, such as keyboards and mice. However, persons with physical disabilities may encounter difficulties in accessing or operating those mobile devices due to poor control of

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Artificial Intelligence Identification Model for Chronic Kidney Diseaserstand participants health status. If a non-invasive identification model can be established, it can provide users with self-assessment which let users quickly understand their physical condition. This study used machine learning method to establish an identification model of Chronic Kidney Disease.