Essays about: "Inception time network"
Showing result 1 - 5 of 23 essays containing the words Inception time network.
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1. Computer Vision for Volume Estimation and Material Classification
University essay from Mälardalens universitet/Akademin för innovation, design och teknik; Mälardalens universitetAbstract : Vehicular automation is a rapidly advancing field within robotics. These autonomous machines have the potential to perform burdensome and dangerous tasks that historically have been executed by humans which has been a long-time goal for the industry. READ MORE
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2. Straight to the Heart : Classification of Multi-Channel ECG-signals using MiniROCKET
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine Learning (ML) has revolutionized various domains, with biomedicine standing out as a major beneficiary. In the realm of biomedicine, Convolutional Neural Networks (CNNs) have notably played a pivotal role since their inception, particularly in applications such as time-series classification. READ MORE
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3. Need for Wheel Speed : Generating synthetic wheel speeds using LSTM and GANs
University essay from Linköpings universitet/Interaktiva och kognitiva systemAbstract : Time series as data in the machine learning research area has been dominated by prediction and forecasting techniques. Ever since the inception of generative models, the interest in generating time series has increased. Time series data appears in many different fields with financial and medical gathering much of the interest. READ MORE
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4. Detecting Defective Rail Joints on the Swiss Railways with Inception ResNet V2 : Simplifying Predictive Maintenance of Railway Infrastructure
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Manual investigation of railway infrastructure is a labor-intensive and time-consuming task, and automating it has become a high priority for railway operators to reduce unexpected infrastructure expenditure. In this thesis, we propose a new image classification approach for classifying defect and non-defective rail joints in image data, based on previous fault detection algorithms using object detection. READ MORE
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5. Engagement Recognition in an E-learning Environment Using Convolutional Neural Network
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Under the current situation, distance education has rapidly become popular among students and teachers. This educational situation has changed the traditional way of teaching in the classroom. Under this kind of circumstance, students will be required to learn independently. READ MORE