Essays about: "Faltnings"
Showing result 1 - 5 of 8 essays containing the word Faltnings.
-
1. A Comparison of Convolutional Neural Networks used in Melanoma Detection : With transfer learning on the PAD-UFES-20 and ISIC datasets
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Skin cancer is one of the most common forms of cancer, of which melanoma is the most lethal. Early detection is critical to long term survival rates. The use of machine learning to detect melanoma shows promising results in detecting malignant forms. READ MORE
-
2. FMCW mmWave Radar for Detection of Pulse, Breathing and Fall within Home Care
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Countless of elderly people fall and get hurt within their homes, worldwide, every year, and as they can not always reach out for help themselves, they end up helplessly waiting for someone to notice what has occurred. Throughout this work, it is investigated if remote sensing of the mmWave FMCW radar IWR6843AOPEVM can be adopted to detect the incident of falls, and also detect the vital signs of the human subject. READ MORE
-
3. Applying Deep Learning To Improve Optimization- Based Approaches For Robust Sensor Fusion
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent studies show that deep learning can be employed to learn from sensor data to improve accuracy and robustness of sensor fusion algorithms. In the same vein, in this thesis we use a state-of-the-art temporal convolution network to predict zero velocity updates (ZUPT) from raw inertial measurement unit (IMU) signals, and use the network output to improve the performance of an optimization-based pose estimator. READ MORE
-
4. An Embedded System for Classification and Dirt Detection on Surgical Instruments
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The need for automation in healthcare has been rising steadily in recent years, both to increase efficiency and for freeing educated workers from repetitive, menial, or even dangerous tasks. This thesis investigates the implementation of two pre-determined and pre-trained convolutional neural networks on an FPGA for the classification and dirt detection of surgical instruments in a robotics application. READ MORE
-
5. Study of brain imaging correlates of Mild Cognitive Impairment and Alzheimer’s Disease with machine learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Accurate diagnosis in the early stages is an important challenge for the prevention and effective treatment of Alzheimer’s Disease (AD). This work proposes a method of analysis of the correlation of Mild Cognitive Impairment (MCI) subtypes and its progression to AD using neuroimages such as structural magnetic resonance imaging (MRI) scans. READ MORE
