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Showing result 1 - 5 of 108 essays matching the above criteria.

1. 1. Exploring Attachment Dynamics: Implications for Overgeneralized Memory and Rumination

   University essay from Lunds universitet/Institutionen för psykologi

   Author : Ocean Bouey; [2024]
   Keywords : Overgeneralized memory; attachment anxiety; attachment avoidance; rumination; narrative memory task; Social Sciences;

   Abstract : Objective and Methods: This thesis investigates the relationship between insecure attachment (anxiety and avoidance), rumination, and overgeneralized episodic memory retrieval in nonclinical adults, addressing the potential moderating role of rumination in the attachment- overgeneralization link. A community sample of 41 Swedish-speaking women participated in a narrative memory task involving attachment and non-attachment narratives. READ MORE

3. 2. Prediction Models for TV Case Resolution Times with Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Borja Javierre I Moyano; [2023]
   Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

   Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE

4. 3. Does esports participation help in developing computer literacy skills?

   University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

   Author : Mihai Gabriel Bodnarescu; Jacob Granstedt; [2023]
   Keywords : Esports; Computer literacy; League of Legends;

   Abstract : In this paper, we have focused on possible connections between Esports, more narrowly League of Legends, and increased Computer Literacy Skills.  The purpose of this study was to research Esports and Computer Literacy skills and analyse the possible link and how it might overall help one’s day-to-day life, job prospects and more by using Esports as a tool for learning Computer Literacy Skills. READ MORE

5. 4. Inferring Gene regulatory networks using Graph Neural Networks

   University essay from KTH/Genteknologi

   Author : Sohta Makino; [2023]
   Keywords : Graph Attention Network; Gene regulatory Network; Transcription; Data Science; Machine learning; Genreglering; transkription; dataanalys; Inferens; maskininlärning;

   Abstract : Inom beräkningsbiologin är det snabbt på väg att bli allt vanligare att ta fram genetiska regleringsnätverk (GRN). På grund av storleken på de undersökta nätverken använder många forskare maskininlärning för att härleda GRN från genuttrycksdata, vanligtvis från RNA-seq. READ MORE

6. 5. An experimental analysis of Link Prediction methods over Microservices Knowledge Graphs

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Gianluca Ruberto; [2023]
   Keywords : Knowledge Graphs; Link Prediction; Machine Learning; Microservice Tracing; Kunskapsdiagram; länkförutsägelse; maskininlärning; mikroservicespårning;

   Abstract : Graphs are a powerful way to represent data. They can be seen as a collection of objects (nodes) and the relationships between them (edges or links). The power of this structure has its intrinsic value in the relationship between data points that can even provide more information than the data properties. READ MORE