Essays about: "Deep Belief Network"
Showing result 1 - 5 of 9 essays containing the words Deep Belief Network.
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1. Investigating Machine Learning for verification of AMBA APB protocol.
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : It is a well-known fact that in any Application Specific Integrated Circuit (ASIC) design, verification consumes most time and resources. And when it comes to huge designs, finding bugs can be tedious given the area and the complexity. As per Moore’s law, the design complexity is increasing exponentially due to the growing demand for performance. READ MORE
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2. Autonomous UAV Path Planning using RSS signals in Search and Rescue Operations
University essay from Linköpings universitet/ReglerteknikAbstract : Unmanned aerial vehicles (UAVs) have emerged as a promising technology in search and rescue operations (SAR). UAVs have the ability to provide more timely localization, thus decreasing the crucial duration of SAR operations. READ MORE
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3. Belief-aided Robust Control for Remote Electrical Tilt Optimization
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Remote Electrical Tilt (RET) is a method for configuring antenna downtilt in base stations to optimize mobile network performance. Reinforcement Learning (RL) is an approach to automating the process by letting an agent learn an optimal control strategy and adapt to the dynamic environment. READ MORE
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4. Modeling an Embedded Climate System Using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent advancements in processing power, storage capabilities, and availability of data, has led to improvements in many applications through the use of machine learning. Using machine learning in control systems was first suggested in the 1990s, but is more recently being implemented. READ MORE
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5. DirCNN: Rotation Invariant Geometric Deep Learning
University essay from KTH/Matematisk statistikAbstract : Recently geometric deep learning introduced a new way for machine learning algorithms to tackle point cloud data in its raw form. Pioneers like PointNet and many architectures building on top of its success realize the importance of invariance to initial data transformations. These include shifting, scaling and rotating the point cloud in 3D space. READ MORE