Credit risk is a problem of the inability of debtor to pay bills that can cause losses to both parties concerned. In order to avoid losses caused by bad loans, the loan provider have to conduct an analysis on the debt...
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Pollen allergies are a major health challenge in India, and the prevalence of allergies is rising due to climate change. Symptoms of pollen allergies, such as coughing, sneezing, and nasal congestion, can hinder work ...
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In order to improve the detection quality of audio vibration signals and facilitate speech translation effects, an acoustic vibration detection system based on radar echo signals was proposed. The principle of detecti...
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This project proposes a programmable logic-oriented algorithm to solve the difficult problem of coding generation of aircraft control system. The synchronous data flow computing model suitable for control system model...
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Presently, digital photography courses are being offered both in traditional university classrooms and through online platforms. Evaluating students' work in these courses, particularly when instructed by photogra...
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ISBN:
(纸本)9798350381771;9798350381764
Presently, digital photography courses are being offered both in traditional university classrooms and through online platforms. Evaluating students' work in these courses, particularly when instructed by photography experts, presents challenges, especially in larger classrooms with numerous students. The difficulties include the inability to promptly assess and provide feedback due to the volume of work, leading to delays in meeting students' needs. Consequently, students are unable to receive immediate feedback on their submissions, causing a lag in their skill development. To address this issue, we propose the M-Stock system, an Automatic Photo Assessment for Enhancing Student Photography Skills with Deep Learning. This system operates as a web application and is compatible with all platforms. It utilizes Convolutional Neural Networks (CNN) for photo classification and evaluation. Through testing the classification efficiency, the system demonstrated an average accuracy of 97.18%, with an average classification speed of 46.1 milliseconds per image. This automation aims to streamline the evaluation process, ensuring timely feedback and fostering the timely development of students' abilities.
A digital-based method was proposed to address challenges in large-scale segmented hull automated spraying workshops, such as the production of toxic gases and solid particles during operations, hindering real-time mo...
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Millions of individuals globally experience spinal ailments. This stresses the importance of swift detection for achieving better treatment results. Traditional diagnosis techniques can be lengthy. They might lack pre...
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Increasing digitalization and automation are pushing for redesign of human-system interfaces, not only in industrial production. On stages and in studios, the transition from analog to digital interfaces of event tech...
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ISBN:
(纸本)9783031357404;9783031357411
Increasing digitalization and automation are pushing for redesign of human-system interfaces, not only in industrial production. On stages and in studios, the transition from analog to digital interfaces of event technology is ongoing, technical systems of several generations are operated simultaneously, and references to findings from human factors and ergonomics are little prominent. A review of potentially relevant national and international literature, standardization, and information materials to support the design and evaluation process provided some generic but few specific indications. Human factors and ergonomics design principles refer to the task, the interaction and the information interfaces with generic requirements and recommendations to be specified for stage and studio automation. Examples from sets of design principles focusing on human information processing are applied to work scenarios in the domain and illustrate translation in the specified contexts. The procedure paves the way to permeate stage and studio automation towards digital transformation with state-of-the-art human factors and ergonomics.
Multi-domain engineering modeling and simulation is becoming more relevant and needed to undergraduate engineering education. The sole idea of synergistically teaching/learning multiple engineering domains-using energ...
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Students safety and learning results are being impacted by this application in classrooms. The preferences for students or we can say unique needs for them are not being taken into account and traditional systems are ...
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