Essays about: "Dynamiska data"

Showing result 1 - 5 of 198 essays containing the words Dynamiska data.

1. 1. Vehicle dynamics modelling of electromagnetic suspensions for MAGLEV applications

   University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesign

   Author : Léa Chatelais; [2024]
   Keywords : MAGLEV; Dynamics; Requirements; Suspension; Vehicle modeling; MATLAB; MAGLEV; Dynamisk; Fordran; Upphängning; Fordon modell; MATLAB;

   Abstract : MAGnetic LEVitation Guidance System (MAGLEV) technology was commercially introduced relatively recently in the guided transport field. It is based on removing the wheels and rails of classic railway systems and supporting and guiding the train with magnets and magnetic forces instead. READ MORE

3. 2. Quality improvements contributing to effective midwife-led care : a Minor Field Study in Nairobi, Kenya

   University essay from Sophiahemmet Högskola

   Author : Sarah Johansson; Viola Nyroos; [2023]
   Keywords : Experiences; Kenya; Maternity nurses; Midwives; Quality Improvement; Barnmorskor; Kenya; Kvalitetsförbättring; Sjuksköterskor; Upplevelser;

   Abstract : This study was a sub-study based on the MIDWIZE capacity building program for public health officials in maternal and child health. This is a leadership program where participants conduct a quality improvement project at a selected health facility in their respective country. READ MORE

4. 3. Comparing energy efficiency of Leaky integrate-and-fire and Spike response neuron models in Spiking Neural Networks

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

   Author : Majd Dawli; Imran Bahed Diva; [2023]
   Keywords : ;

   Abstract : Spiking Neural Networks (SNNs) are a type of neural network that is designed to mimic the way neurons function in our brains. While there have been notable advancements in developing SNNs, energy consumption hasn't been studied to the same extent. This gets especially relevant with steadily increasing network sizes. READ MORE

5. 4. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

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

   Author : Luca Colasanti; [2023]
   Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

   Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE

6. 5. mmWave Coverage Extension Using Reconfigurable Intelligent Surfaces in Indoor Dense Spaces

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

   Author : Zhenyu Li; [2023]
   Keywords : mmWave Communication; Reconfigurable Intelligent Surface; Ray Tracing; Indoor Dense Spaces;

   Abstract : Millimeter-wave (mmWave) is widely investigated for indoor communication scenarios thanks to the available rich spectrum. However, the shortened antenna size and the high frequency make mmWave extra sensitive to blockages. READ MORE