Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Övervakad"'
Autor:
Kolpakova, Marina
Detta examensarbete utforskar hur övervakad naturlig självrening (ÖNS), en metod som utnyttjar naturens egna processer, kan användas i limniska miljöer för att minska toxiciteten och spridningen av metallföroreningar och därmed bidra till att
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-229845
Autor:
Säterberg, Filip, Nilsson, Rasmus
Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accel
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-53015
Autor:
Ling, Disen
Blended emotion is a classification of emotional experiences that involve the combination of multiple emotions. Research on the expression of blended emotions allows researchers to understand how different emotions interact and coexist in an individu
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-342919
Autor:
Pechetti, Hiranmayi
This master thesis addresses the problem of classifying test failures in Ericsson AB’s BAIT test framework, specifically distinguishing between environment faults and product faults. The project aims to automate the initial defect classification pr
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-338102
Autor:
Caliò, Filippo
Clustering keywords is an important Natural Language Processing task that can be adopted by several businesses since it helps to organize and group related keywords together. By clustering keywords, businesses can better understand the topics their c
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-338333
Autor:
Gauffin, Christopher
The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-338148
In many relevant scenarios, there is an imbalance between abundant unlabeled data and scarce labeled data to train predictive models. Semi-Supervised Learning and Active Learning are two distinct approaches to deal with this issue. The first one dire
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-196140
Autor:
Liiv, Toomas
Semi-supervised anomaly detection is the setting, where in addition to a set of nominal samples, predominantly normal, a small set of labeled anomalies is available at training. In contrast to supervised defect classification, these methods do not le
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-330698
Autor:
Rune, Julia
Följande studie behandlar utvecklandet av automatiserade cellsegmenteringsmodeller med avsikt att identifiera gränser mellan celler i hjärtvävnad. Syftet är att möjliggöra analys av data genererad från multiplexed error-robust in situ hybridi
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-330290
Autor:
Strömdahl, Amanda
Pinpointing the source of a software failure based on log files can be a time consuming process. Automated log analysis tools are meant to streamline such processes, and can be used for tasks like failure diagnosis. This thesis evaluates three superv
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-332081