Essays about: "evaluation information system"

Showing result 6 - 10 of 850 essays containing the words evaluation information system.

  1. 6. MetaStackVis: Visually-Assisted Performance Evaluation of Metamodels in Stacking Ensemble Learning

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Ilya Ploshchik; [2023]
    Keywords : Visualization; interaction; metamodels; validation metrics; predicted probabilities; stacking; stacked generalization; ensemble learning; machine learning;

    Abstract : Stacking, also known as stacked generalization, is a method of ensemble learning where multiple base models are trained on the same dataset, and their predictions are used as input for one or more metamodels in an extra layer. This technique can lead to improved performance compared to single layer ensembles, but often requires a time-consuming trial-and-error process. READ MORE

  2. 7. Assessing the Efficiency of COLMAP, DROID-SLAM, and NeRF-SLAM in 3D Road Scene Reconstruction

    University essay from Lunds universitet/Matematik LTH

    Author : Marcus Ascard; Farjam Movahedi; [2023]
    Keywords : 3D reconstruction; Visual SLAM; Pose evaluation; Point cloud evaluation; Road scenes; Technology and Engineering;

    Abstract : 3D reconstruction is a field in computer vision which has evolved rapidly as a result of the recent advancements in deep learning. As 3D reconstruction pipelines now can run in real-time, this has opened up new possibilities for teams developing Advanced Driver Assistance Systems (ADAS), which rely on the camera system of the vehicle to enhance the safety and driving experience. READ MORE

  3. 8. Analyzing the Influence of Synthetic andAugmented Data on Segmentation Model

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Alex Peschel; [2023]
    Keywords : Artificial Intelligence; Microorganisms; Segmentation; Synthesizing; Augmentation;

    Abstract : The field of Artificial Intelligence (AI) has experienced unprecedented growth in recent years, thanks to the numerous applications related to speech recognition, natural language processing, and computer vision. However, one of the challenges facing AI is the requirement for large amounts of energy, time, and data to be effective and accurate. READ MORE

  4. 9. EcoBot : study design and development of a persuasive FSM-free Chatbot for energy saving

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

    Author : Francesco Milano; [2023]
    Keywords : chatbot; context management; persuasive strategies; domestic energy saving; smart appliances; sustainability.; chatbot; kontexthantering; övertygande strategier; hushållsenergibesparing; smarta apparater; hållbarhet;

    Abstract : This study presents the development and evaluation of a conversational agent, EcoBot, designed to inform users about their energy habits and persuade them to save more energy when at home, to help fight climate change and energy waste. To reach this goal, three persuasion strategies were first identified: Feedback, to give users personalized suggestions based on their habits, Goal Setting, to set and track consumption goals for the user’s domestic appliances, and Social Comparison, to compare the user’s consumption with that of others. READ MORE

  5. 10. Taking Climate into Account - Carbon Management Tools for Investment Decisions and Progress Tracking at an Energy Company

    University essay from Lunds universitet/Innovationsteknik

    Author : Rebecca Ahlin; Anna Malmberg; [2023]
    Keywords : Carbon accounting; carbon disclosure; carbon management; carbon management tools; environmental change management; internal carbon price; Technology and Engineering;

    Abstract : Background: Climate change is becoming a more urgent issue, where global agreements and regulations are putting pressure on companies to calculate and disclose their greenhouse gas emissions to combat the problem. Other driving forces of carbon disclosure for companies include social, economic, and financial pressure, as well as firm specific internal factors. READ MORE