Essays about: "Model Compare"

Showing result 6 - 10 of 1531 essays containing the words Model Compare.

  1. 6. An In-Depth study on the Utilization of Large Language Models for Test Case Generation

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Nicole Johnsson; [2024]
    Keywords : Large Language Models; Test Case Generation; Retrieval Augmented Generation; Machine Learning; Generative AI;

    Abstract : This study investigates the utilization of Large Language Models for Test Case Generation. The study uses the Large Language model and Embedding model provided by Llama, specifically Llama2 of size 7B, to generate test cases given a defined input. READ MORE

  3. 7. Näringsförluster från sju jordbruksområden nära Mälaren

    University essay from SLU/Dept. of Soil and Environment

    Author : Sally Karlsson Bondesson; [2024]
    Keywords : avrinningsområde; belastning; fosfor; kväve; S-HYPE; retention; typområden på jordbruksmark; vattenflöde; VISS; våtmark;

    Abstract : Ett av Sveriges miljömål är ”ingen övergödning” vilket innebär att gödande ämnen inte ska ha negativ inverkan på människor, biologisk mångfald eller mark-och vattenanvändning (Naturvårds-verket 2023). Näringsämnena fosfor och kväve och förlusten av dessa från framför allt jordbruksmark är en av orsakerna till övergödning i sjöar, hav och vattendrag. READ MORE

  4. 8. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

    University essay from Lunds universitet/Fysiska institutionen

    Author : Max Svensson; [2024]
    Keywords : Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

    Abstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE

  5. 9. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  6. 10. Aerodynamics simulations of Scania trucks using OpenFOAM

    University essay from KTH/Teknisk mekanik

    Author : Ziyi Liu; [2024]
    Keywords : Heavy-duty truck; Computational fluid dynamics; Air drag; OpenFOAM;

    Abstract : In the field of heavy-duty vehicles, fuel efficiency and environmental protection are factors that need to be focused on, while the aerodynamic drag generated during vehicle travelling is one of the most influential aspects. This thesis delves into the aerodynamic simulation of Scania trucks using the open-source Computational Fluid Dynamics (CFD) tool, OpenFOAM v2206. READ MORE