Essays about: "Distance Metric"

Showing result 1 - 5 of 80 essays containing the words Distance Metric.

  1. 1. Designing a Novel RPL Objective Function & Testing RPL Objective Functions Performance

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

    Author : Khalil Mardini; Emad Abdulsamad; [2023]
    Keywords : Routing protocol for low-power and lossy networks RPL ; Wireless Sensor Networks WSN ; The Internet of Things IoT ; Objective Function OF ; Low-Power and Lossy Networks LLNs ; Expected Transmission Count ETX ; Min- imum Rank with Hysteresis Objective Function MRHOF ; Packet Delivery Ratio PDR ; Directed Acyclic Graph DODAG ;

    Abstract : The use of Internet of Things systems has increased to meet the need for smart systems in various fields, such as smart homes, intelligent industries, medical systems, agriculture, and the military. IoT networks are expanding daily to include hundreds and thousands of IoT devices, which transmit information through other linked devices to reach the network sink or gateway. READ MORE

  3. 2. Moving Air : A Comparative Study of Physical Controllers and Hand Tracking in Virtual Reality

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

    Author : Ólafur Konráð Albertsson; [2023]
    Keywords : Virtual reality; hand tracking; training; comparative study;

    Abstract : Onboarding is a procedure used to familiarize new employees with the details of a new industry, and VR and AR training are increasingly being used for role-specific medical field experiences. This study aims to explore the affordances and challenges of a task-specific shaped controller vs. a regular controller in a VR training scenario. READ MORE

  4. 3. Unsupervised Detection of Interictal Epileptiform Discharges in Routine Scalp EEG : Machine Learning Assisted Epilepsy Diagnosis

    University essay from Uppsala universitet/Avdelningen Vi3

    Author : Shuai Shao; [2023]
    Keywords : EEG; electroencephalography; IED; interictal epileptiform discharges; spike detection; epilepsy; unsupervised; Fourier transform; STFT; short-time Fourier transform; CWT; continuous wavelet transform; DWT; discrete wavelet transform; ML; machine learning; ANN; artificial neural network; CNN; convolutional neural network; autoencoder; HMM; hidden Markov model; ECS; Euclidean distance of cumulative spectrum;

    Abstract : Epilepsy affects more than 50 million people and is one of the most prevalent neurological disorders and has a high impact on the quality of life of those suffering from it. However, 70% of epilepsy patients can live seizure free with proper diagnosis and treatment. Patients are evaluated using scalp EEG recordings which is cheap and non-invasive. READ MORE

  5. 4. Preserving the Mental Map when Visualizing Dynamic Graphs : An Approach for Intermediate Representations in the C2 Java Compiler

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

    Author : Emmy Yin; [2023]
    Keywords : Dynamic Graphs; Graph Layout Algorithms; Visualization; Hierarchical Graph Layouts; Dynamiska grafer; grafritningsalgoritmer; visualisering; hierarkiska grafritningar;

    Abstract : Graphs are powerful data structures that are widely used to represent complex forms of information. One area in which graphs are successfully being used is within compiler engineering, where a program under compilation can be represented as a graph that changes as the program is being compiled. READ MORE

  6. 5. Evaluating clustering techniques in financial time series

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Johan Millberg; [2023]
    Keywords : clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

    Abstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE