Essays about: "thesis in computer network"

Showing result 1 - 5 of 239 essays containing the words thesis in computer network.

  1. 1. Counting Cars and Determining the Vacancy of a Parking Lotusing Neural Networks

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Alexander Holmström; [2018]
    Keywords : ;

    Abstract : A lot of time, energy and money is being wasted when people are trying tond a parking lot. These elements could be reduced if the driver is provided vacancy information of a parking lot beforehand. READ MORE

  2. 2. Camera-Based Friction Estimation with Deep Convolutional Neural Networks

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Arvi Jonnarth; [2018]
    Keywords : Machine Learning; Deep Learning; Statistical Learning; Friction Estimation; Computer Vision; Neural Networks; Convolutional Neural Networks; Digital Image Processing;

    Abstract : During recent years, great progress has been made within the field of deep learning, and more specifically, within neural networks. Deep convolutional neural networks (CNN) have been especially successful within image processing in tasks such as image classification and object detection. READ MORE

  3. 3. Generation of Synthetic Images with Generative Adversarial Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Author : Mousa Zeid Baker; [2018]
    Keywords : classification; deep learning; generative adversarial network; machine learning;

    Abstract : Machine Learning is a fast growing area that revolutionizes computer programs by providing systems with the ability to automatically learn and improve from experience. In most cases, the training process begins with extracting patterns from data. The data is a key factor for machine learning algorithms, without data the algorithms will not work. READ MORE

  4. 4. Dynamic Speed Adaptation for Curves using Machine Learning

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

    Author : Kirilll Narmack; [2018]
    Keywords : Machine; Learning; Artificial; Intelligence; MachineLearning; Machine-Learning; AI; ML; MLP; Neural; Networks; Multilayer-Perceptron; RFB; RBF-Network; Vehicle; Automation; AutonomousVehicles; Autonomous; SelfDriving; Self-Driving; Self; Driving; Curve; Speed; Adaptation; Adaption; CSA; ACC; Adaptive; Cruise; Control; Driving; Style; Driver; Behavior; Behaviour; Sample; Samples; Distance; Derivative; Speed; Velocity; Curvature; Road; Inclination; Lane; Width; Type; Acceleration; Longitudinal; Lateral; Data; Training; Test; Validation; Results; Discussion; Sustainability; Ethics; Ethical; Sustainable; Future; Today; Tomorrow; Yesterday; Robot; Robotics; System; Systems; Class; Classes; Bin; Bins; Tree; One; A; Dynamic; Using; Time; Delay; Volvo; Car; Cars; Corporation; Zenuity; School; Computer; Science; Master; Degree; Project; Thesis; Paper; Object; GPS; Map; Length; Research; Advanced; Машинное; Обучение; Искусственный; Интеллект; AI; ML; MLP; RBF; Автомобиль; Машына; Сеть; Робот; Водитель; Заворот; Дорога; Сам; Сама; Едет; Ехать; Учить; Учит; Учится; Автоматизация; Адаптация; Результат; Один; Одна; Одно; Вчера; Сегодня; Завтра; Дерево; Карта; ГПС; Информатика; Компьютер; Наука; Научная; Работа; Школа; Вольво; Завод; Транспорт; Maskininlärning; Artificiell; Intelligens; Inlärning; Maskin; AI; ML; MLP; RBF; Neural; Neurala; Nätverk; Artificiella; Automation; Själv; Självkörande; Körande; Bil; Fordon; Robot; Robotik; Körstil; Stil; Beteende; Adaption; Kurva; Lutning; Väg; CSA; ACC; Farthållare; Hastighet; Fart; Hållare; Inclination; Körfält; Fält; Spår; Bredd; Typ; Acceleration; Longitudinell; Lateral; Data; Traingin; Test; Validation; Resultat; Diskussion; Längd; Hållbarhet; Etik; Etiskt; Framtid; Dåtid; Idag; Imorgon; System; Class; Klass; Classer; Klasser; Träd; En; Ett; Fler; Flera; Dynamisk; Använda; Tid; Fördröjning; Tids; Volvo; Car; Corporation; Object; Zenuity; Skola; Dator; Vetenskap; Forkning; Avancerad; Projekt; Exjobb; Examensarbete; Betyg; GPS; Karta;

    Abstract : The vehicles of tomorrow will be more sophisticated, intelligent and safe than the vehicles of today. The future is leaning towards fully autonomous vehicles. READ MORE

  5. 5. 3D YOLO: End-to-End 3D Object Detection Using Point Clouds

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

    Author : Ezeddin Al Hakim; [2018]
    Keywords : Computer vision; Machine Learning; Autonomous Vehicles; Autonomous Cars; Lider; Point Cloud; Deep Learning; Object Detection; YOLO;

    Abstract : For safe and reliable driving, it is essential that an autonomous vehicle can accurately perceive the surrounding environment. Modern sensor technologies used for perception, such as LiDAR and RADAR, deliver a large set of 3D measurement points known as a point cloud. READ MORE