Essays about: "faltningsnätverk"

Showing result 1 - 5 of 77 essays containing the word faltningsnätverk.

1. 1. Learning a Grasp Prediction Model for Forestry Applications

   University essay from Umeå universitet/Institutionen för fysik

   Author : Elias Olofsson; [2024]
   Keywords : Forwarder; Autonomous grasping; Deep learning; Multibody dynamics; Convolutional neural network;

   Abstract : 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

3. 2. Deep Learning-based Regularizers for Cone Beam Computed Tomography Reconstruction

   University essay from KTH/Matematisk statistik

   Author : Sabina Syed; Josefin Stenberg; [2023]
   Keywords : Adversarial Convex Regularization; Computer Vision; Cone Beam Computed Tomography; Convolutional Neural Networks; Deep Learning; Image Reconstruction; Adversarial Convex Regularization; Bildrekonstruktion; Datorseende; Djupinlärning; Faltningsnätverk; Volymtomografi;

   Abstract : Cone Beam Computed Tomography is a technology to visualize the 3D interior anatomy of a patient. It is important for image-guided radiation therapy in cancer treatment. During a scan, iterative methods are often used for the image reconstruction step. READ MORE

4. 3. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

   University essay from Uppsala universitet/Tillämpad kärnfysik

   Author : Wenhan Zhou; [2023]
   Keywords : Transuranus; AI; Nuclear Fuel Rods;

   Abstract : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. READ MORE

5. 4. Exploring the Use of Attention for Generation Z Fashion Style Recognition with User Annotations as Labels

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Niki Samakovlis; [2023]
   Keywords : Attention mechanism; CNN; Deep Learning; Fashion Style Recognition; Feature Extraction; Generation Z; Uppmärksamhetsmekanism; Faltningsnätverk; Djupinlärning; Igenkänning av klädstilar; Särdragsextraktion; Generation Z;

   Abstract : As e-commerce and online shopping have increased worldwide, the interest and research of intelligent fashion systems have expanded. Given the competitive nature of the fashion market business, digital marketplaces depend on determining customer preferences. READ MORE

6. 5. Impact of Cell Type Selection on Binary Classification of Cervical Cancer using Convolutional Neural Networks : A Compatibility Analysis of Herlev and SIPaKMeD

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Elias Ram; Elias Stihl; [2023]
   Keywords : ;

   Abstract : Cervical cancer is one of the most common forms of cancer today, affecting women worldwide. Machine learning classifiers could potentially be utilized to aid in the diagnosis of cervical cancer, making screening more cost-effective. READ MORE