Essays about: "Sökmotorer"

Showing result 1 - 5 of 38 essays containing the word Sökmotorer.

  1. 1. Comparing Google and ChatGPT as Assistive Tools for Students in Solving Programming Exercises

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

    Author : Elissa Arias Sosa; Marco Godow; [2023]
    Keywords : ;

    Abstract : The study explores the field of technology-enhanced learning, providing insights into the evolving educational landscape and the impact of Large Language Models (LLMs), such as ChatGPT, in comparison to established educational tools like search engines. This paper specifically compares two different tools, ChatGPT and Google, in aiding students to solve programming exercises within their education and their impact on students’ learning. READ MORE

  3. 2. Does the Use of VR Improve Individuals’ Performance in Sports? : A Scoping Review

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

    Author : William Rolf; Carl Holmqvist; [2023]
    Keywords : virtual reality; VR; sports; performance; empirical evidence; virtual reality; VR; sport; prestanda; empiriskt bevis;

    Abstract : The purpose of this study is to explore if the use of virtual reality (VR) improves performance in sports and examine whether there is empirical evidence supporting this. There is a lack of a common denominator that can be used as a direct comparison between various studies. READ MORE

  4. 3. An Evaluation of Classical and Quantum Kernels for Machine Learning Classifiers

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

    Author : Teo Nordström; Jacob Westergren; [2023]
    Keywords : Machine Learning; Quantum Computing; Kernels; Support Vector Machines; Maskininlärning; Kvantberäkning; Kärnor; Stödvektormaskin;

    Abstract : Quantum computing is an emerging field with potential applications in machine learning. This research project aimed to compare the performance of a quantum kernel to that of a classical kernel in machine learning binary classification tasks. READ MORE

  5. 4. Optimizing Search Engine Field Weights with Limited Data : Offline exploration of optimal field weight combinations through regression analysis

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

    Author : Zino Kader; [2023]
    Keywords : Information retrieval; Search engines; BM25 Best Match 25 ; Regression analysis; Parameter estimation; Learning to rank; Informationsinhämtning; Sökmotorer; BM25 Best Match 25 ; Regressionsanalys; Parameterskattning; Maskininlärning för rangordning;

    Abstract : Modern search engines, particularly those utilizing the BM25 ranking algorithm, offer a multitude of tunable parameters designed to refine search results. Among these parameters, the weight of each searchable field plays a crucial role in enhancing search outcomes. READ MORE

  6. 5. Trends and scientometrics in cyber security research

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

    Author : Jesper Slagarp; Elvira Häggström; [2022]
    Keywords : Cyber security; Trend analysis; Network analysis; Author index; Data bases; Scientometrics; Cybersäkerhet; Trendanalys; Nätverksanalys; Författarindex; Databaser; Scientometri;

    Abstract : To look for scientific literature, there are specialized databases and search engines to simplify the process. In order to quickly assess the quality of a given paper, there are different indices meant to quantify the success and impact an author has had within the scientific community. READ MORE