Sökning: "changing performance conditions"
Visar resultat 16 - 20 av 110 uppsatser innehållade orden changing performance conditions.
16. Machine Learning Based Stock Price Prediction by Integrating ARIMA model and Sentiment Analysis with Insights from News and Information
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Predicting stock prices in today’s complex financial landscape is asignificant challenge. An innovative approach to address this challenge is integrating sentiment analysis techniques with the well-established Autoregressive IntegratedMoving Average (ARIMA) model. LÄS MER
17. Att optimera en kulturförändring genom effektivt ledarskap, sett ur medarbetarens perspektiv
Magister-uppsats, Mittuniversitetet/Institutionen för kommunikation, kvalitetsteknik och informationssystem (2023-)Sammanfattning : Idag lever organisationer i ett hårt klimat både genom finansiella svårigheter och en marknad som ständigt förändras och utvecklas. För att en organisation ska vara attraktiv och behålla sin konkurrenskraft måste organisationen ständigt förbättras. LÄS MER
18. Deep Learning Based Out-of-focus Detection on Surveillance Footage
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Loss of focus in surveillance cameras can occur due to factors such as environmental aspects, sabotage or system errors. The focus loss leads to degraded footage that is of no use for either post-investigation or automatic video analysis. LÄS MER
19. The Association Between Two Types of Knowledge Transfer Mechanisms, Employees’ Ambidextrous Innovation and Employees’ Innovation Performance in the Software and Information Technology Services Industry
Master-uppsats, Jönköping University/Internationella HandelshögskolanSammanfattning : Background: The reallocation of resources is changing with the rapid growth of business and the changing products and technologies in most countries around the world. Information technology (IT) outsourcing is one way to access resources efficiently. LÄS MER
20. Tackling Non-Stationarity in Reinforcement Learning via Latent Representation : An application to Intraday Foreign Exchange Trading
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Reinforcement Learning has applications in various domains, but the typical assumption is of a stationary process. Hence, when this hypothesis does not hold, performance may be sub-optimal. LÄS MER