Essays about: "comparative study in algorithm"

Showing result 21 - 25 of 88 essays containing the words comparative study in algorithm.

  1. 21. Deep Reinforcement Learning for Building Control : A comparative study for applying Deep Reinforcement Learning to Building Energy Management

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

    Author : Wanfu Zheng; [2022]
    Keywords : Deep Reinforcement Learning; Building Control; Building Energy Management; Optimization; Thermal Discomfort; Operational Cost; Deep Reinforcement Learning; byggnadskontroll; Building Energy Management; optimering; termiskt obehag; driftskostnader;

    Abstract : Energy and environment have become hot topics in the world. The building sector accounts for a high proportion of energy consumption, with over one-third of energy use globally. A variety of optimization methods have been proposed for building energy management, which are mainly divided into two types: model-based and model-free. READ MORE

  2. 22. Convolutional, adversarial and random forest-based DGA detection : Comparative study for DGA detection with different machine learning algorithms

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Carl-Simon Brandt; Jonathan Kleivard; Andreas Turesson; [2021]
    Keywords : Domain generation algorithm; machine learning; neural networks; GAN; random forest; CNN;

    Abstract : Malware is becoming more intelligent as static methods for blocking communication with Command and Control (C&C) server are becoming obsolete. Domain Generation Algorithms (DGAs) are a common evasion technique that generates pseudo-random domain names to communicate with C&C servers in a difficult way to detect using handcrafted methods. READ MORE

  3. 23. Comparative Analysis of Ant Colony Optimization and Genetic Algorithm in Solving the Traveling Salesman Problem

    University essay from Blekinge Tekniska Högskola

    Author : Hatem Mohi El Din; [2021]
    Keywords : Ant colony optimization; genetic algorithm; metaheuristics; javascript; python; C#;

    Abstract : Metaheuristics is a term for optimization procedures/algorithms that can be applied to a wide range of problems. These problems for which metaheuristics are used usually fall in the NP-hard category, meaning that they cannot be solved in polynomial time. This means that as the input dataset gets larger the time to solve increases exponentially. READ MORE

  4. 24. A comparison of LightGBM and perceptron for classifying the cause of salary differences between workgroups : Comparative study for classifying the reason for salary difference with different machine learning algorithms

    University essay from Högskolan i Skövde/Institutionen för informationsteknologi

    Author : Ibrahim Tekin; [2021]
    Keywords : ;

    Abstract : Machine learning is part of what is called AI. It is defined as the application of an algorithm to improve a result through learning. In Sweden, the law requires large companies and organizations to revise their salaries every year to ensure there is no wage disparity between men and women. READ MORE

  5. 25. Analysis of comparative filter algorithm effect on an IMU

    University essay from

    Author : Johan Åkerblom Svensson; Joakim Gullberg Carlsson; [2021]
    Keywords : IMU; Vibration; autonomous driving; complementary filter; accelerometer; gyroscope;

    Abstract : An IMU is a sensor with many differing use cases, it makes use of an accelerometer, gyroscope and sometimes a magnetometer. One of the biggest problems with IMU sensors is the effect vibrations can have on their data. The reason for this study is to find a solution to this problem by filtering the data. READ MORE