Sökning: "Internal networks"
Visar resultat 1 - 5 av 296 uppsatser innehållade orden Internal networks.
1. Machine learning for molecular property prediction and drug safety
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Utilizing machine learning methods for the prediction of acid dissociation (pKa ) values of compounds holds great significance, as pKa is an important parameter, optimized frequently in drug discovery. Accurate prediction of pKa values could potentially provide valuable insights on other molecular properties and thereby support compound design. LÄS MER
2. DOES SOLVIT SOLVE IT? A Study of Regulatory Compliance and Transgovernmental Networks in the EU
Master-uppsats, Göteborgs universitet/Statsvetenskapliga institutionenSammanfattning : Improving compliance with European law is important for a well-functioning Internal Market. Correct application of rules is the national executives’ responsibility, that makes European law vulnerable to distortion, due to the different administrative traditions in each member state. LÄS MER
3. Machine Learning for State Estimation in Fighter Aircraft
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : This thesis presents an estimator to assist or replace a fighter aircraft’s air datasystem (ADS). The estimator is based on machine learning and LSTM neuralnetworks and uses the statistical correlation between states to estimate the angleof attack, angle of sideslip and Mach number using only the internal sensorsof the aircraft. LÄS MER
4. Implicit Message Integrity Provision : In Heterogeneous Vehicular Systems
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Vehicles on the road today are complex multi-node computer networks. Security has always been a critical issue in the automotive computing industry. It is becoming even more crucial with the advent of autonomous vehicles and driver assistant technology. There is potential for attackers to control vehicles maliciously. LÄS MER
5. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis
Master-uppsats, KTH/Matematik (Avd.)Sammanfattning : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. LÄS MER