Essays about: "RNN"

Showing result 1 - 5 of 62 essays containing the word RNN.

  1. 1. Sales Forecasting of Truck Components using Neural Networks

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Yeshwanth Reddy Gaddam; [2020]
    Keywords : Sales forecasting; Artificial Neural Networks; Long Short Term Memory; Multilayer Perceptron; Recurrent Neural Network.;

    Abstract : Background: Sales Forecasting plays a substantial role in identifying the sales trends of products for the future era in any organization. These forecasts are also important for determining the profitable retail operations to meet customer demand, maintain storage levels and to identify probable losses. READ MORE

  2. 2. Behaviour modelling of vehicles at a Roundabout

    University essay from Högskolan i Halmstad/Halmstad Embedded and Intelligent Systems Research (EIS)

    Author : Sharan Amar Magavi; [2020]
    Keywords : ;

    Abstract : This thesis concentrates on the motion prediction of the agents utilizing the behaviour model. In an autonomous environment, the agents need to beaware of other agents’ position and actions to minimize the use of emergency braking, thereby reducing collisions and damages. READ MORE

  3. 3. Real Time Gym Activity Detection using Monocular RGB Camera

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Mohammad Samer Alshatta; [2020]
    Keywords : ActivityDetection; RNN; GymActionDetection; PoseBasedActionDetection; DeepLearning; SkeletonBasedOnlineActionDetection;

    Abstract : Action detection is an attractive area for researchers in computer vision, healthcare, physiotherapy, psychology, and others. Intensive work has been done in this area due to its wide range of applications such as security surveillance, video tagging, Human-Computer Interaction (HCI), robotics, medical diagnosis, sports analysis, interactive gaming, and many others. READ MORE

  4. 4. Predicting User Mobility using Deep Learning Methods

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Harihara Reddy Pamuluri; [2020]
    Keywords : Mobility Prediction; Deep Learning; Time Series-Forecasting; LSTM;

    Abstract : Context: The context of this thesis to predict user mobility using deep learning algorithms which can increase the quality of service for the users and reduce the cost of paging for telecom carriers. Objectives: This study first investigates to find the suitable deep learning algorithms that can be used to predict user mobility and then an experiment is performed with the chosen algorithms as a global model and individual model then evaluate the performance of algorithms. READ MORE

  5. 5. Modelling CLV in the Insurance Industry Using Deep Learning Methods

    University essay from KTH/Matematisk statistik

    Author : Marta Jablecka; [2020]
    Keywords : Insurance; CLV; RNN; LSTM; GRU; DQL; Försäkring; CLV; RNN; LSTM; GRU; DQL;

    Abstract : This paper presents a master’s thesis project in which deep learning methods are used to both calculate and subsequently attempt to maximize Customer Lifetime Value (CLV) for an insurance provider’s customers. Specifically, the report investigates whether panel data comprised of customers monthly insurance policy subscription history can be used with Recurrent Neural Networks (RNN) to achieve better predictive performance than the naïve forecasting model. READ MORE