Essays about: "thesis for algorithm"

Showing result 1 - 5 of 3071 essays containing the words thesis for algorithm.

  1. 1. Feature Selection for Microarray Data via Stochastic Approximation

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Erik Rosvall; [2024-03-18]
    Keywords : feature selection; feature ranking; microarray data; stochastic approximation; Barzilai and Borwein method; Machine Learning; AI;

    Abstract : This thesis explores the challenge of feature selection (FS) in machine learning, which involves reducing the dimensionality of data. The selection of a relevant subset of features from a larger pool has demonstrated its effectiveness in enhancing the performance of various machine learning algorithms. READ MORE

  2. 2. Robust Object Recognition and Tracking with Drones

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Jiaying Wu; [2024]
    Keywords : ;

    Abstract : The Skara Skyddsängel project explores an innovative method of providing illumination for cyclists along a 20km unlit bike lane using drones. Current GNSS approach performs generally well but further improvements are need for better robustness. Consequently, this thesis project is raised to seek a robust solution in the field of computer vision. READ MORE

  3. 3. A Verified QBF Solver

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Axel Bergström; [2024]
    Keywords : ;

    Abstract : Quantified Boolean Formulas (QBFs) extend propositional logic with universal and existential quantification over Boolean variables.  A QBF is satisfiable if and only if there is an assignment of Boolean values to the free variables that makes the formula true, and a QBF solver is a software tool determining if a given QBF is satisfiable. READ MORE

  4. 4. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

    University essay from Lunds universitet/Matematisk statistik

    Author : Zeyuan Wu; [2024]
    Keywords : Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

    Abstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE

  5. 5. Android Malware Detection Using Machine Learning

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Rahul Sai Kesani; [2024]
    Keywords : Malware; Machine Learning; Random Forest; Sequential Neural Network.;

    Abstract : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. READ MORE