Essays about: "paper machine"
Showing result 1 - 5 of 534 essays containing the words paper machine.
-
1. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. READ MORE
-
2. Android Malware Detection Using Machine Learning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. READ MORE
-
3. Predicting Counter-Strike Matches using Machine Learning Models
University essay from Lunds universitet/Statistiska institutionenAbstract : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. READ MORE
-
4. Exploring a Wearable Technology for Enhanced Learning : - a design concept
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : This paper is an explorative interaction design study focusing on the development of a wearable device for enhanced learning of bodily skills. It uses a variation of technology scouting and matchmaking to explore possible technologies related to assistive technology for learning. READ MORE
-
5. Audio Anomaly Detection in Cars
University essay from Göteborgs universitet/Institutionen för matematiska vetenskaperAbstract : Audio anomaly detection in the context of car driving is a crucial task for ensuring vehicle safety and identifying potential faults. This paper aims to investigate and compare different methods for unsupervised audio anomaly detection using a data set consisting of recorded audio data from fault injections and normal "no fault" driving. READ MORE
