Essays about: "linear regression"

Showing result 1 - 5 of 1236 essays containing the words linear regression.

  1. 1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes

    University essay from Institutionen för tillämpad informationsteknologi

    Author : Mathias Forsman; Yihan Yang; [2024-03-05]
    Keywords : Automotive Industry; Early Problem Identification; Diagnostic Trouble Code; Case Study; Laboratory Experiment ; Machine Learning; Linear Regression; K-means Clustering;

    Abstract : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. READ MORE

  2. 2. Comparative study of albedo and Ndvi. : Based on a vertical Agrivoltaic system and a reference control plot.

    University essay from Mälardalens universitet/Akademin för ekonomi, samhälle och teknik

    Author : Prasamsa Aryal; [2024]
    Keywords : Agrivoltaics; Albedo; NDVI; Linear correlation; Linear regression;

    Abstract : Agrivoltaic system combines solar energy and agriculture which is an effective way to utilize the lands full potential. Crops can be grown between vertical panels or under tilted panels among other designs. Combining solar panels and agriculture leads to optimization of space. READ MORE

  3. 3. The relationship between Emotion Regulation and Leadership among Swedish Military Leaders

    University essay from Umeå universitet/Institutionen för psykologi

    Author : Linda Odlander; Lovisa Håkansson; [2024]
    Keywords : ;

    Abstract : Emotion regulation involves recognising, understanding and regulating one's emotions to adapt to different situations. Leadership is often defined by distinct styles, characterised by various behaviours and skill sets employed by leaders to influence, guide, manage, and motivate their team members. READ MORE

  4. 4. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE

  5. 5. ML implementation for analyzing and estimating product prices

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Abel Getachew Kenea; Gabriel Fagerslett; [2024]
    Keywords : Machine Learning; ML; Regression; Deep Learning; Artificial Neural Network; ANN; TensorFlow; ScikitLearn; CUDA; cuDNN; Estimation; Prediction; AI; Artificial Intelligence; Price Tracking; Price Logging; Price Estimation; Supervised Learning; Random Forest; Decision Trees; Batch Learning; Hyperparameter Tuning; Linear Regression; Multiple Linear Regression; Maskininlärning; Djup lärning; Artificiellt Neuralt Nätverk; Regression; TensorFlow; SciktLearn; ML; ANN; Estimation; Uppskattning; CUDA; cuDNN; AI; Artificiell Intelligens; pris loggning; pris estimation; prisspårning; Batchinlärning; Hyperparameterjustering; Linjär Regression; Multipel Linjär Regression; Supervised Learning; Random Forest; Decision Trees;

    Abstract : Efficient price management is crucial for companies with many different products to keep track of, leading to the common practice of price logging. Today, these prices are often adjusted manually, but setting prices manually can be labor-intensive and prone to human error. READ MORE