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Kaynat Jameel's CV, created with this CV template

Brief LaTeX file for HHO section

Design process of capstone senior "Sketch Model Challenge" project.

Algorismia Teoria

Localization is the challenge of determining the robot's pose in a mapped environment. This is done by implementing a probabilistic algorithm to filter noisy sensor measurements and track the robot's position and orientation. This paper focuses on localizing a robot in a known mapped environment using Adaptive Monte Carlo Localization or Particle Filters method and send it to a goal state. ROS, Gazebo and RViz were used as the tools of the trade to simulate the environment and programming two robots for performing localization.

Attempt to define various metrics directly related to coverage per compute second; an improvement on which furthers the desired left shift in design verification. A part to the solution to find breaks early in a continuous integration system, qualifying the design prior to important milestones and iterating over recent bug fixes or changes to weed out related issues is proposed. Created with the Jacobs Landscape Poster LaTeX Template Version 1.0 (29/03/13)

We would like to focus on a popular macroeconomics problem called Utility Maximization, where the goal is to maximize the happiness of a consumer.

高校数学～大学基礎レベルの数学の問題集（解答付き） Simple math problem set with solution.

Chronic Myeloid Leukemia is a type of cancer that starts in certain blood-forming cells of the bone marrow. Interferon-\(\alpha\) was once the standard front-line treatment producing remission rates of only 28.3 percent in 1991. After the highly effective drugs first became available in 2001, survival rates have increased immensely. According to the American Cancer Society, one large study of CML patients treated with a drug called imatinib found that about 90 percent of them were still alive 5 years after starting treatment. While imatinib has changed the way oncologists treat CML, remission is common after extended gaps in treatment. In this paper, we will explore the long-term dynamics of CML under treatment through the use of use of theoretical and mathematical components. We closely base our methods upon the approach of Urszula Ledzewicz and Helen Moore. We will introduce our unique model and explain component selections, while we move towards understanding the optimal interactions of imatinib and interferon-\(\alpha\) against dormant and proliferating CML cells. Our future work involving optimal control dynamics will be briefly introduced and further solutions are currently ongoing.