Essays about: "experimentation"

Showing result 1 - 5 of 404 essays containing the word experimentation.

  1. 1. 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

  3. 2. Evaluation of Deep Q-Learning Applied to City Environment Autonomous Driving

    University essay from Uppsala universitet/Signaler och system

    Author : Jonas Wedén; [2024]
    Keywords : Machine Learning; ML; Reinforcement Learning; RL; Neural Network; Deep Learning; Autonomous Vehicle; Vehicle; CARLA; Convolutional Neural Network; CNN; Precisit; Q-learning; Deep Q-learning; DQN;

    Abstract : This project’s goal was to assess both the challenges of implementing the Deep Q-Learning algorithm to create an autonomous car in the CARLA simulator, and the driving performance of the resulting model. An agent was trained to follow waypoints based on two main approaches. READ MORE

  4. 3. Collaborative Music Production for a TV Series - A Case Study

    University essay from Kungl. Musikhögskolan/Institutionen för musik, pedagogik och samhälle

    Author : Hamilton Eklöf; [2024]
    Keywords : Collaboration; Music production; Film music production;

    Abstract : In this thesis, the focus is to enhance our understanding of the collaboration process within film music production, with the intention of applying this knowledge to music education. Data were collected through video observations and analyzed using Biasutti's (2018) theory and thematic analysis. READ MORE

  5. 4. Exploring the Dynamics of Software Bill of Materials (SBOMs) and Security Integration in Open Source Projects

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Anvesh Ambala; [2024]
    Keywords : Supply chain; SBOM; Software Bill of Materials; US Executive Order May 2021; Open-Source Software; Vulnerability; cyber security.;

    Abstract : Background.The rapid expansion of open-source software has introduced significant security challenges, particularly concerning supply chain attacks. Software supply chain attacks, such as the NotPetya attack, have underscored the critical need for robust security measures. READ MORE

  6. 5. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    University essay from

    Author : Venkata Vamsi Challa; [2024]
    Keywords : Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Abstract : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. READ MORE