Essays about: "auto correlation"

Showing result 1 - 5 of 32 essays containing the words auto correlation.

1. 1. Auto-scaling Prediction using MachineLearning Algorithms : Analysing Performance and Feature Correlation

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Syed Saif Ahmed; Harshini Devi Arepalli; [2023]
   Keywords : Cloud Computing; Predictive Auto-Scaling; Machine Learning; Data Correlation;

   Abstract : Despite Covid-19’s drawbacks, it has recently contributed to highlighting the significance of cloud computing. The great majority of enterprises and organisations have shifted to a hybrid mode that enables users or workers to access their work environment from any location. READ MORE

3. 2. Channel Estimation and Power Control Algorithms in the Presence of Channel Aging

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

   Author : Yan Bixing; [2023]
   Keywords : Fading channel; auto-regressive model; power allocation; uncrewed aerial vehicle networks; Fading kanal; auto-regressiv modell; krafttilldelning; obemannade flygfordonsnätverk;

   Abstract : Power allocation algorithms that determine how much power should be allocated to pilot and data symbols play an important role in addressing the trade-off between accurate channel estimation and high high spectral efficiency for data symbols in the presence of time-varying fading channels. Dealing with this trade-off is highly non-trivial when the channel changes or ages rapidly in time. READ MORE

4. 3. Clinical Assessment of Deep Learning-Based Uncertainty Maps in Lung Cancer Segmentation

   University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

   Author : Federica Carmen Maruccio; [2023]
   Keywords : 3D U-Net; Contouring; Clinical validation; Deep learning; Lung cancer; Monte Carlo dropout; Probability map; Reliability diagram; Segmentation; Uncertainty map;

   Abstract : Prior to radiation therapy planning, tumours and organs at risk need to be delineated. In recent years, deep learning models have opened the possibility of automating the contouring process, speeding up the procedures and helping clinicians. READ MORE

5. 4. Predicting power demand and optimizing energy management for fuel cell battery hybrid construction vehicles

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

   Author : Abhishek Karthikeyan; [2023]
   Keywords : Fuel cell; Construction Vehicle; Energy management; Optimization; Model Predictive Control; Load prediction; Auto-correlation; Bränslecell; Byggfordon; Energihantering; Optimering; Modellförutsägande reglering; Belastningsprediktion; Autokorrelation;

   Abstract : The automotive industry has been actively seeking ways to reduce emissions and combat global warming. While pure battery electric vehicles have shown promise in achieving zero-tailpipe emissions, they face challenges in meeting the energy demands of large construction machines like excavators and wheel loaders, due to the heavy batteries required. READ MORE

6. 5. Predictive control of fuel cell hybrid construction machines

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

   Author : Aniroodh Kumaraswamy; [2023]
   Keywords : Fuel cell; Construction Vehicle; Energy management; Optimization; Model Predictive Control; Load prediction; Bränslecell; Byggmaskiner; Energihanteringssystem; Optimeringsproblem; Modellprediktiv Reglering; Belastnings-estimering;

   Abstract : Sedan industriella revolutionen har hastigheten av global uppvärmning och föroreningar i miljön ökat betydligt. Företag i fordonsindustrin arbetar aktivt för att göra sina produkter mer hållbara genom att bland annat minska utsläppen, minimera användningen av icke-förnybara resurser samt att återvinna. READ MORE