Essays about: "Long term performance"

Showing result 31 - 35 of 883 essays containing the words Long term performance.

1. 31. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

   Author : Yuxin Sun; [2023]
   Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

   Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

3. 32. Analogue Circuit for Detection of Ageing Phenomena in Electric Drives

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

   Author : Yudong Lin; [2023]
   Keywords : Electric Drives; Ageing Process; Pulse-Width Modulation; Ringing Current; Peak Holder; Analogue Circuits; Elektriska drivsystem; Åldringsprocess; Pulsbreddsmodulering; Ringningar i strömmen; Toppvärdesdetektor; Analog krets;

   Abstract : This master thesis presents an analogue peak holder circuit design aimed at facilitating the non-invasive inspection of the ageing process in electric drives. The ageing process of electric drives is a crucial aspect that demands accurate monitoring to ensure their long-term performance and reliability. READ MORE

4. 33. Artificial Neural Networks for Financial Time Series Prediction

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Dana Malas; [2023]
   Keywords : artificial neural networks; time series analysis; deep learning; finance; long short-term memory; simple moving average;

   Abstract : Financial market forecasting is a challenging and complex task due to the sensitivity of the market to various factors such as political, economic, and social factors. However, recent advances in machine learning and computation technology have led to an increased interest in using deep learning for forecasting financial data. READ MORE

5. 34. Assessing Electricity Prices and Their Driving Mechanisms in Brazil with Neural Networks

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Henrique Costabile; [2023]
   Keywords : ;

   Abstract : In general, electricity prices are very volatile and derive from many external variables. In Brazil, this price is determined by computer models developed and operated by government organizations. The supply and demand relationships are not enough to determine prices in Brazilian submarkets. READ MORE

6. 35. Proactive Decarbonization in Projects - At What Price? : A Qualitative Study of Life-cycle Cost Analysis and Shadow Pricing of Carbon as Decision-making Tools

   University essay from KTH/Ledning och organisering i byggande och förvaltning

   Author : Anna Edorson; [2023]
   Keywords : Life-cycle Cost Analysis ; Shadow Pricing of Carbon ; Sustainability ; Climate Targets ; Decision-making ; Project Management ; Livscykelkostnadsanalys ; Skuggpris på koldioxid ; Hållbarhet ; Klimatmål ; Beslutsfattande ; Projektledning ;

   Abstract : As we move towards a low-carbon economy, environmental sustainability drives corporate performance and strategy to a greater extent than a decade ago. Hence, there is a growing importance among actors with long-term ownership interests to recognize climate-related issues in investment decisions. READ MORE