Sökning: "scikit"

Visar resultat 1 - 5 av 34 uppsatser innehållade ordet scikit.

1. 1. Extraction of Global Features for enhancing Machine Learning Performance

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

   Författare :Abyel Tesfay; [2023]
   Nyckelord :Machine Learning; Deep Learning; Feature Extraction; Global Features; Time-series data; Bioprocessing; Maskininlärning; Djupinlärning; Funktionsextraktion; Globala Funktioner; Tidsserie data; Biobearbetning;

   Sammanfattning : Data Science plays an essential role in many organizations and industries to become data-driven in their decision-making and workflow, as models can provide relevant input in areas such as social media, the stock market, and manufacturing industries. To train models of quality, data preparation methods such as feature extraction are used to extract relevant features. LÄS MER

3. 2. Classification of Cable Shoe Presses on an Embedded System Using a Neural Network Implemented by Hand

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Charlotta Nordlund; [2023]
   Nyckelord :;

   Sammanfattning : Pressing cables with cable shoes currently involves the use of high pressure to ensure successful crimping. However, this approach lacks the ability to detect when the pressing has been completed. Elpress intends to develop a handheld tool that can classify cables in real-time and stop the pressing before unnecessary energy is lost. LÄS MER

4. 3. User authentication through behavioral biometrics using multi-class classification algorithms : A comprehensive study of machine learning algorithms for keystroke and mouse dynamics

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

   Författare :Emil Lantz; [2023]
   Nyckelord :Behavioral biometrics; keystroke dynamics; mouse dynamics; machine learning; neural networks; decision trees.; Beteendemässig biometri; maskininlärning; neurala nätverk; beslutsträd.;

   Sammanfattning : User authentication is vital in a secure system. Authentication is achieved through something a genuine user knows, has, or is. The latter is called biometrics, commonly attributed with fingerprint and face modalities. It is also possible to identify a user based on their behavior, called behavioral biometrics. LÄS MER

5. 4. Counterfeit product grouping - a cluster ensemble approach

   Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Jency Raj; Ramu Satheesh; [2023]
   Nyckelord :Machine Learning; Deeplearning; Image analysis; Data science;

   Sammanfattning : he need for the development and use of efficient and reliable Anticounterfeit techniques in the manufacturing industry and online trading has recently increased tremendously. Flooding counterfeit products in the international market have several adverse social and economic impacts globally. LÄS MER

7. 5. Comparative analysis for filtering toxic messages using machine learning models

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Mats-Hjalmar Murman; Jacob Lundin; [2022]
   Nyckelord :Machine learning; Regression; Classifier; Toxicity filter; API; Tensorflow; Scikit-learn; maskininlärning; regression; klassifiering; olämplighetsfilter; API; Tensorflow; Scikit-learn;

   Sammanfattning : Online communication has become prevalent within today’s society. The issue with such platforms is that people are allowed to express what they want without repercussion. Consequently, toxicity on these platforms becomes common. One approach to limit such inappropriate messages could be using a filtering method. LÄS MER