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Machine Learning for Reducing the Effort of Conducting Systematic Reviews in SE
(2015-05-05)
Objective : To investigate whether machine learning and text-based data
mining can be used to support the primary studies selection process and decrease the needed efforts
in systematic reviews conducted in the context ...
Searching For Relevant Features To Classify Crew Pairing Problems
(2019-10-21)
Machine learning (ML) is an emerging technology. Jeppesen, a leader of commercial optimization products in the airline industry, has started exploring ML methods to facilitate optimization algorithm development. This thesis ...
Clustering and Classification of Time Series in Real-Time Strategy Games - A machine learning approach for mapping StarCraft II games to clusters of game state time series while limited by fog of war
(2020-10-29)
Real-time strategy (RTS) games feature vast action spaces and incomplete information,
thus requiring lengthy training times for AI-agents to master them at the level of a
human expert. Based on the inherent complexity ...
Data-driven configuration recommendation for microwave networks A comparison of machine learning approaches for the recommendation of configurations and the detection of configuration anomalies
(2020-11-06)
As mobile networks grow and the demand for faster connections and a better reachability
increases, telecommunication providers are looking ahead to an increasing
effort to maintain and plan their networks. It is therefore ...
CNN-LSTM architecture for predicting hazardous driving situations
(2023-10-05)
This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of ...
Automated Metadata Extraction for Job Advertisements
(2022-06-20)
This thesis is written in collaboration with the Swedish Public Employment Service
and aims to investigate methods and techniques to automatically extract metadata
from unstructured texts. The Swedish Public Employment ...
Challenges in Specifying Safety-Critical Systems with AI-Components
(2023-09-26)
Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the ...
Are these numbers real?
(2022-10-14)
Smart manufacturing refers to the use of digitalization for improving and automating
manufacturing processes. One use case is artificial intelligence (AI) used in quality
control, which can reduce production costs and ...
Machine learning for molecular property prediction and drug safety
(2023-10-23)
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 ...