Sökning: "Majority algorithm"

Visar resultat 1 - 5 av 107 uppsatser innehållade orden Majority algorithm.

1. 1. Long-term Forecasting Heat Use in Sweden's Residential Sector using Genetic Algorithms and Neural Network

   Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

   Författare :Alireza Momtaz; Mohammad Befkin; [2024]
   Nyckelord :Genetic Algorithm; Neural Network; Forecasting; Heat Use;

   Sammanfattning : In this study, the parameters of population, gross domestic product (GDP), heat price, U-value, and temperature have been used to predict heat consumption for Sweden till 2050. It should be noted that the heat consumption has been considered for multi-family houses. Most multi-family houses (MFH) get their primary heat from district heating (DH). LÄS MER

3. 2. LP_MQTT - A Low-Power IoT Messaging Protocol Based on MQTT Standard

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Anchu Antony; Deepthi Myladi Kelambath; [2024]
   Nyckelord :;

   Sammanfattning : In the Internet of Things (IoT) era, the MQTT Protocol played a bigpart in increasing the flow of uninterrupted communication betweenconnected devices. With its functioning being on the publish/subscribe messaging system and having a central broker framework, MQTTconsidering its lightweight functionality, played a very vital role inIoT connectivity. LÄS MER

4. 3. Credit Card Approval Prediction : A comparative analysis between logistic regressionclassifier, random forest classifier, support vectorclassifier with ensemble bagging classifier.

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Dhanush Janapareddy; Narendra Chowdary Yenduri; [2023]
   Nyckelord :Machine Learning; Logistic Regression; Random Forest; Support Vector Machine; Ensemble Learning Bagging.;

   Sammanfattning : Background. Due to an increasing number of credit card defaulters, companies arenow taking greater precautions when approving credit applications. When a customermeets certain requirements, credit card firms typically use their experience todecide whether to grant them a credit card. LÄS MER

5. 4. Analysis to reduce ice-related production losses for wind turbines

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Jhason Paran De La Cruz; [2023]
   Nyckelord :Wind power; cold climate; wind turbine icing; ice losses; ice protection systems; blade heating; de-icing; analytical dashboard; data visualization.; Vindkraft; kalla klimat; nedisning av vindkraftverk; isförluster; isskyddssystem; uppvärmning av blad; avisning; analysverktyg; datavisualisering.;

   Sammanfattning : In the rapidly growing wind energy market, regions with cold climates are currently in the spotlight owing to their abundance of wind resources. However, the operation of wind turbines in cold climate conditions is challenged by serious icing problems. LÄS MER

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

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

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

   Sammanfattning : 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. LÄS MER