Essays about: "Deep"
Showing result 6 - 10 of 3447 essays containing the word Deep.
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6. Attack Strategies in Federated Learning for Regression Models : A Comparative Analysis with Classification Models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Federated Learning (FL) has emerged as a promising approach for decentralized model training across multiple devices, while still preserving data privacy. Previous research has predominantly concentrated on classification tasks in FL settings, leaving a noticeable gap in FL research specifically for regression models. READ MORE
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7. Learning a Grasp Prediction Model for Forestry Applications
University essay from Umeå universitet/Institutionen för fysikAbstract : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. READ MORE
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8. Real-Time System Benchmarking with Embedded Linux and RT Linux on a Multi-Core Hardware Platform
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : To catch up with the growing trend of parallelism, this thesis work focuses on the adaption of embedded real-time systems to a multicore platform. We use the embedded system of Xilinx ZCU-102, a multicore board, as an example of an embedded system without getting deep into its architecture. READ MORE
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9. Diving Deep: Seabird foraging tactics and local prey field
University essay from SLU/Dept. Of Aquatic ResourcesAbstract : Foragers in patchy environments need to decide what patches to use and how to allocate their time between them. Optimal foraging theory describes these choices through the relationship between energy expenditure and energy gain. READ MORE
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10. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving
University essay from Uppsala universitet/Signaler och systemAbstract : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. READ MORE
