Essays about: "dependency on computer"
Showing result 1 - 5 of 19 essays containing the words dependency on computer.
-
1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE
-
2. The Shaping of a Global Battlespace : A quantitative study of a great power struggle and its outcomes on the Cyber domain
University essay from FörsvarshögskolanAbstract : The cyber domain is in many aspects a unique warfighting domain. Widespread power diffusion and sovereignty gaps creates conditions wherein governments lack the ability to uphold territorial integrity through traditional and military means. READ MORE
-
3. A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Recurrent neural networks (RNNs) have become a dominating player for processing of sequential data such as speech and audio. The reason for this, is the high accuracy that can be achieved with the more complex variants, such as the gated recurrent unit (GRU). READ MORE
-
4. Material parameter identification of a thermoplastic using full-field calibration
University essay from Linköpings universitet/Mekanik och hållfasthetsläraAbstract : Finite element simulation of thermoplastic components is gaining importance as the companies aim to avoid overdesign of the components. Cost of the component can be minimized by using an adequate amount of material for its application. READ MORE
-
5. Unsupervised Learning of Useful and Interpretable Representations from Image Data
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This master thesis tackles the problem of unsupervised learning of useful and interpretable representations from image data using deep Convolutional Neural Networks (CNN). Recent years have seen remarkable success from using deep learning technologies to tackle computer vision problems. READ MORE
