Essays about: "deep learning business"

Showing result 1 - 5 of 40 essays containing the words deep learning business.

1. 1. AI for innovators - An exploratory study on the application of Artificial Intelligence as a supportive tool in the innovation process

   University essay from Göteborgs universitet/Graduate School

   Author : Mauro Campus; [2023-07-19]
   Keywords : Innovation; Innovation Drivers; Stages of Innovation; Innovation Models; Innovation Process; Artificial Intelligence; Industry 4.0 and Artificial Intelligence; Machine Learning; Deep Learning; Generative AI; Artificial Intelligence in Business; Artificial Intelligence and Innovation;

   Abstract : The technological evolution we are experiencing nowadays has impacted many businesses and industries. In this sense, one of the most influential technologies is certainly Artificial Intelligence, which especially in recent months has been at the centre of numerous debates. READ MORE

3. 2. Reinforcement learning for EV charging optimization : A holistic perspective for commercial vehicle fleets

   University essay from KTH/Skolan för industriell teknik och management (ITM)

   Author : Enzo Alexander Cording; [2023]
   Keywords : Deep Reinforcement Learning; EV charging optimization; Artificial Intelligence; Commercial vehicle fleets; Electric vehicles; Deep Reinforcement Learning; optimering av elbilsladdning; artificiell intelligens; kommersiella fordonsflottor; Elektriska fordon;

   Abstract : Recent years have seen an unprecedented uptake in electric vehicles, driven by the global push to reduce carbon emissions. At the same time, intermittent renewables are being deployed increasingly. These developments are putting flexibility measures such as dynamic load management in the spotlight of the energy transition. READ MORE

4. 3. Demand Forecasting of Outbound Logistics Using Neural Networks

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Enobong Paul Otuodung; Gulten Gorhan; [2023]
   Keywords : Time Series Prediction; Demand Forecasting; Outbound Logistics; Machine Learning; Deep Learning; Univariate Forecasting; Multivariate Forecasting; Multi-Step Forecasting; LSTM; CNN-LSTM; ConvLSTM; Encoder-Decoder; Design science; Design science;

   Abstract : Long short-term volume forecasting is essential for companies regarding their logistics service operations. It is crucial for logistic companies to predict the volumes of goods that will be delivered to various centers at any given day, as this will assist in managing the efficiency of their business operations. READ MORE

5. 4. Personalized Investment Recommendations Using Recommendation Systems

   University essay from Lunds universitet/Nationalekonomiska institutionen

   Author : Lorik Sadriu; [2023]
   Keywords : Recommendation systems; Deep learning; Institutional investors; Investment decision-making; Mean-variance spanning test; Cross-Selling; Business and Economics;

   Abstract : This paper presents a Deep Learning-based Hybrid Recommendation System (DLHR) designed specifically for institutional investors with public portfolio holdings on the Stockholm Stock Exchange. The objective is to provide personalized investment recommendations, complement existing portfolios, and explore untapped cross-selling opportunities. READ MORE

6. 5. Uncontrolled intersection coordination of the autonomous vehicle based on multi-agent reinforcement learning.

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Isaac Arnold McSey; [2023]
   Keywords : Autonomous Vehicles AVs ; Road Safety; Fuel Efficiency; Business Dynamics; Intersections; Human-Driven Vehicles HDVs ; Pedestrians; Multi-Agent Reinforcement Learning MARL ; Multi-Agent Deep Deterministic Policy Gradient MADDPG ; Algorithmic Interactions; Uncontrolled Intersections; Global Insights; Safety Improvements; Comfort Improvements; Learning Process; Global Experiences; Complex Environments; Passenger Comfort; Navigation;

   Abstract : This study explores the application of multi-agent reinforcement learning (MARL) to enhance the decision-making, safety, and passenger comfort of Autonomous Vehicles (AVs)at uncontrolled intersections. The research aims to assess the potential of MARL in modeling multiple agents interacting within a shared environment, reflecting real-world situations where AVs interact with multiple actors. READ MORE