Sökning: "Real-time target machine"

Visar resultat 1 - 5 av 26 uppsatser innehållade orden Real-time target machine.

1. 1. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Qian Zhou; [2023]
   Nyckelord :Small Target Detection; Target Tracking; YOLOv5; DeepSORT; Attention Mechanism; Loss Function; Feature Extraction and Fusion Network; Detektering Av små sål; sålspårning; YOLOv5; DeepSORT; uppmärksamhetsmekanism; förlustfunktion; fusionsnätverk;

   Sammanfattning : 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. LÄS MER

3. 2. Real-time adaptation of robotic knees using reinforcement control

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Leifur Daníel Sigurðarson; [2023]
   Nyckelord :Machine learning; deep reinforcement learning; transfer learning; medical device; prosthetic; prosthesis; controls; human-in-the-loop; Maskininlärning; djup förstärkningsinlärning; överföringsinlärning; medicinsk utrustning; protes; kontroller; människa-i-loopen;

   Sammanfattning : Microprocessor-controlled knees (MPK’s) allow amputees to walk with increasing ease and safety as technology progresses. As an amputee is fitted with a new MPK, the knee’s internal parameters are tuned to the user’s preferred settings in a controlled environment. LÄS MER

4. 3. Control Method for an Automated Forest Machine Based on Deep Reinforcement Learning

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Youchen Sun; [2023]
   Nyckelord :;

   Sammanfattning : An automated forest machine was designed in order to improve the working environment of today’s forest machine operators. In order to realize the autonomous control of the forest machine, model-based methods such as A* and dynamic window were used in previous projects. LÄS MER

5. 4. Trigger-Level Multiple Electron Event Classification with LDMX using Artificial Neural Networks

   Master-uppsats, Lunds universitet/Partikel- och kärnfysik; Lunds universitet/Fysiska institutionen

   Författare :Jacob Lindahl; [2023]
   Nyckelord :LDMX; ANN; CNN; GNN; RNN; DM; Physics and Astronomy;

   Sammanfattning : Artificial neural networks is a powerful tool for classifying and identifying patterns in large amounts of data. One of the possible tasks of these networks is classification of data into categories. LÄS MER

7. 5. Control system framework for robots based on real-time application. : A proposed framework and dynamic sampling rate algorithm (DSRA) application in a robotic system for efficient data collection.

   Kandidat-uppsats, Linnéuniversitetet/Sjöfartshögskolan (SJÖ)

   Författare :Mugisha Steven; [2023]
   Nyckelord :Real-time application; Robots;

   Sammanfattning : Industry 4.0 is associated with the technological complexity of designing frameworks for factory automation. In that case, since the robots are used in factory operations, this paper proposes a framework that can be used for (near) real-time applications (RTA) in the robotic system. LÄS MER