Essays about: "training environment"
Showing result 11 - 15 of 636 essays containing the words training environment.
-
11. ENCOUNTERING AN EMERGENCY VEHICLE
University essay from Göteborgs universitet/Institutionen för pedagogik, kommunikation och lärandeAbstract : Purpose: This thesis aims to investigate the effectiveness of the Emergency Vehicle Approaching (EVA) warning and training on drivers' behavior when encountering an emergency vehicle in a driving simulator. Theory: Cognitive load theory was adopted as a theoretical framework for this study. READ MORE
-
12. Active learning for text classification in cyber security
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the domain of cyber security, machine learning promises advanced threat detection. However, the volume of available unlabeled data poses challenges for efficient data management. This study investigates the potential for active learning, a subset of interactive machine learning, to reduce the effort required for manual data labelling. READ MORE
-
13. Radio Environment Compensation in a Narrowband IoT Positioning System : Using Radio Signal Metrics Between Stationary Devices
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The Internet of Things (IoT) has emerged as a powerful tool for meeting our need to collect information about and interact with our environments. One important aspect of this technology is positioning which imposes requirements on both the energy consumption and the arrangement of the systems. READ MORE
-
14. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE
-
15. Multi-Agent Deep Reinforcement Learning in Warehouse Environments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This report presents a deep reinforcement algorithm for multi-agent systems based on the classicalDeep Q-Learning algorithm. The method considers a decentralized approach to controlling theagents, by equipping each agent with its own neural network and replay memory. READ MORE