Essays about: "Deep Learning DL"
Showing result 11 - 15 of 40 essays containing the words Deep Learning DL.
-
11. Land Use/Land Cover Classification From Satellite Remote Sensing Images Over Urban Areas in Sweden : An Investigative Multiclass, Multimodal and Spectral Transformation, Deep Learning Semantic Image Segmentation Study
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : Remote Sensing (RS) technology provides valuable information about Earth by enabling an overview of the planet from above, making it a much-needed resource for many applications. Given the abundance of RS data and continued urbanisation, there is a need for efficient approaches to leverage RS data and its unique characteristics for the assessment and management of urban areas. READ MORE
-
12. Through the Blur with Deep Learning : A Comparative Study Assessing Robustness in Visual Odometry Techniques
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : In this thesis, the robustness of deep learning techniques in the field of visual odometry is investigated, with a specific focus on the impact of motion blur. A comparative study is conducted, evaluating the performance of state-of-the-art deep convolutional neural network methods, namely DF-VO and DytanVO, against ORB-SLAM3, a well-established non-deep-learning technique for visual simultaneous localization and mapping. READ MORE
-
13. The Effect Background Traffic in VPNs has on Website Fingerprinting
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Tor and VPNs are used by many to be anonymous and circumvent censorship on the Internet. Therefore, traffic analysis attacks that enable adversaries to link users to their online activities are a severe threat. READ MORE
-
14. Reverse Engineering of Deep Learning Models by Side-Channel Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Side-Channel Analysis (SCA) aims to extract secrets from cryptographic systems by exploiting the physical leakage acquired from implementations of cryptographic algorithms. With the development of Deep Learning (DL), a new type of SCA called Deep Learning Side-Channel Analysis (DLSCA) utilizes the advantages of DL techniques in data features processing to break cryptographic systems more efficiently. READ MORE
-
15. Influence of Preprocessing Steps for Molecular Data on Deep Neural Network Performance
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : The massive accumulation of omics data requires effective computational tools to analyze and interpret such data. Deep learning (DL), a branch of machine learning (ML) and artificial intelligence (AI), has shed light on these challengings and achieved great success in bioinformatics. READ MORE