Essays about: "k-means"
Showing result 16 - 20 of 253 essays containing the word k-means.
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16. AI-assisted analysis of ICT-centre cooling : Using K-means clustering to identify cooling patterns in water-cooled ICT rooms
University essay from Linköpings universitet/EnergisystemAbstract : Information and communications technology (ICT) is an important part in today’s society and around 60% of the world's population are connected to the internet. Processing and storing ICT data corresponds to approximately 1% of the global electricity demand. READ MORE
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17. Clustering and classification of prepaid mortgages
University essay from KTH/Matematik (Avd.)Abstract : This thesis aims to cluster and classify mortgages issued by a financial institution. The aim is to apply machine learning techniques on historical data in order to discover a possible structure and predictability in prepaid mortgages. READ MORE
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18. Optimisation of warehouse for second-hand items using Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Warehouse management and organisation often use the popularity of items to assign placements in the warehouse and predict sales. However, when dealing with only unique second-hand items another solution is needed. READ MORE
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19. Exploratory Data Analysis of Live 5G Radio Access Network Configuration Data Using Interpretable Machine Learning
University essay from Linköpings universitet/Databas och informationsteknikAbstract : In the increasingly connected world of today, people are more reliant on online services than ever before. To enhance network performance, efforts needs to be made to better understand the telecommunication system. READ MORE
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20. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. READ MORE