Sökning: "false memory test"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden false memory test.

1. 1. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Deepthy Prasad; Swathi Hampapura Sripada; [2023]
   Nyckelord :multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

   Sammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER

3. 2. Software Architecture for Concurrency Analysis on a Virtual Platform

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Brinda Mohan; [2022]
   Nyckelord :;

   Sammanfattning : With the increasing demand for faster processing, a trend of moving towards multi-core and multiprocessor environments for embedded systems is clear. In this context, concurrent programming is also on the rise. LÄS MER

4. 3. Machine Learning for Radar in Health Applications : Using machine learning with multiple radars to enhance fall detection

   Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Kristoffer Raskov; Oliver Christiansson; [2022]
   Nyckelord :Machine learning; RNN; Bi-LSTM; radar; sensor fusion; HAR; fall detection; healthcare monitoring; Maskininlärning; RNN; Bi-LSTM; radar; sensor fusion; HAR; falldetektering; hälsoövervakning;

   Sammanfattning : Two mm-wave frequency modulated continuous wave (FMCW) radars were combined with a recurrent neural network (RNN) to perform fall detection. The purpose was to find methods to implement a multi-radar setup for healthcare monitoring and to study the resulting models’ resilience to interference and other obstacles, such as re-arranging the radars in the room. LÄS MER

5. 4. Evaluation of length aware Bloom filter for longest prefix matching using Waldvogels binary search on lengths

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Olof Brücher; [2022]
   Nyckelord :Longest Prefix Matching; Waldvogels Binary Search on Lengths; Bloom filter; Length aware Bloom filter;

   Sammanfattning : Longest prefix matching is a well-studied problem in the context of IP-packet forwarding, an area of computational specialization where high performance with low memory impact is of the essence. Numerous specialized data structures exist for longest prefix matching in this setting, among them is Waldvogels binary search on lengths, WBSL for short. LÄS MER

7. 5. False memories and false judgement of frequency in a visual word-only DRM-paradigm

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för psykologi

   Författare :Jessica Carrión; [2019]
   Nyckelord :false memories; drm-paradigm; visual drm; visual drm-paradigm; visual word-only drm; visual word-only paradigm; false memories for frequency; false frequency; visual word-only; visual word only; false memory test; sweden; quantitative study; Deese; Deese-Roediger-Mcdermott; Deese-Roediger-Mcdermott paradigm; Falska minnen; falska minnen för frekvens; sverige; kvantitativ studie; visuell presentation; drm-paradigmet; Deese-Roediger-Mcdermott paradigmet;

   Sammanfattning : Björklund & Sandström (2012) reported a false memory for the frequency in which words have appeared using a Deese-Roediger-McDermott paradigm (Deese, 1959; Roediger & McDermott, 1995). The purpose of this study is to recreate the false frequency test by Björklund & Sandström using a visual word-only condition. LÄS MER