Essays about: "IT project problem recognition"
Showing result 1 - 5 of 31 essays containing the words IT project problem recognition.
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1. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition
University essay from KTH/Mekatronik och inbyggda styrsystemAbstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE
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2. Building a Deep Neural Network From Scratch
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Machine learning is becoming increasingly common in our society and is predictedto have a major impact in the future. Therefore, it would be both interesting and valuable tohave a deep understanding of one of the most used algorithms in machine learning, deepneural network. READ MORE
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3. Polar Codes for Biometric Identification Systems
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Biometrics are widely used in identification systems, such as face, fingerprint, iris, etc. Polar code is the only code that can be strictly proved to achieve channel capacity, and it has been proved to be optimal for channel and source coding. READ MORE
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4. Labelling Customer Actions in an Autonomous Store Using Human Action Recognition
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : Automation is fundamentally changing many industries and retail is no exception. Moonshopis a South African venture trying to solve the problem of autonomous grocery storesusing cameras and computer vision. This project is the continuation of a hackathon heldto explore different methods for Human Action Recognition in Moonshop’s stores. READ MORE
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5. Building and Training a Fully Connected Deep Neural Network From Scratch
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Artificial Neural Networks make up the core of mostMachine Learning algorithms. In the past decade Machine learninghave successfully taken on fields such as image recognition,Data analytics and medical technologies. READ MORE