Sökning: "INF301 Data Science"

Hittade 3 avhandlingar innehållade orden INF301 Data Science.

1. 1. Integrating domain knowledge into deep learning : Increasing model performance through human expertise

   Författare :Niclas Ståhl; Göran Falkman; Alexander Karlsson; Gunnar Mathiason; Jonas Boström; Keith Downing; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; INF301 Data Science; INF301 Data Science; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ;

   Sammanfattning : The research in this thesis is focused on how deep learning models can be designed and implemented to better emulate and integrate the heuristic reasoning process of human experts. Several case studies, within the domains of steel making and drug discovery, are conducted in order to evaluate the performance of these models, in comparison to models that do not consider human expert knowledge from the targeted domain. LÄS MER

3. 2. High-Performance Computing For Support Vector Machines

   Författare :Shirin Tavara; Alexander Schliep; Alexander Karlsson; Richard Johansson; Högskolan i Skövde; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Skövde Artificial Intelligence Lab SAIL ; Skövde Artificial Intelligence Lab SAIL ; INF301 Data Science; INF301 Data Science;

   Sammanfattning : Machine learning algorithms are very successful in solving classification and regression problems, however the immense amount of data created by digitalization slows down the training and predicting processes, if solvable at all. High-Performance Computing(HPC) and particularly parallel computing are promising tools for improving the performance of machine learning algorithms in terms of time. LÄS MER

4. 3. Vulnerability Analysis for Critical Infrastructures

   Författare :Yuning Jiang; Yacine Atif; Jianguo Ding; Manfred A. Jeusfeld; Birgitta Lindström; Christoffer Brax; Sokratis Katsikas; Högskolan i Skövde; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; critical infrastructure cybersecurity; vulnerability assessment; vulnerability quantification; computational intelligence in cybersecurity; cyber-physical system; INF303 Informationssäkerhet; INF303 Information Security; INF301 Data Science; INF301 Data Science; Distribuerade realtidssystem DRTS ; Distributed Real-Time Systems;

   Sammanfattning : The rapid advances in information and communication technology enable a shift from diverse systems empowered mainly by either hardware or software to cyber-physical systems (CPSs) that are driving Critical infrastructures (CIs), such as energy and manufacturing systems. However, alongside the expected enhancements in efficiency and reliability, the induced connectivity exposes these CIs to cyberattacks exemplified by Stuxnet and WannaCry ransomware cyber incidents. LÄS MER