Sökning: "CNN-LSTM"

Visar resultat 1 - 5 av 15 uppsatser innehållade ordet CNN-LSTM.

1. 1. Predicting Navigational Patterns in Web Applications using Machine Learning Techniques

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Patric Balan; Gustav Jönemo; [2024]
   Nyckelord :Technology and Engineering;

   Sammanfattning : In large corporations, customer support is a costly service, and an area of constant optimization. Solutions to increase efficiency and decrease bottlenecks are constantly needed. LÄS MER

3. 2. CNN-LSTM architecture for predicting hazardous driving situations

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Noomi Lindblad; Stefani Platakidou; [2023-10-05]
   Nyckelord :Data science; Machine learning; LSTM; CNN; Vehicle data; Hazardous driving situation; Deep learning;

   Sammanfattning : This study aims to investigate how a CNN-LSTM model can be used together with recorded vehicle data from trucks and external weather data in order to predict a hazardous driving situation. The dataset consists of three-second-long driving snippets from customer and development trucks registered within Europe. LÄS MER

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

   Master-uppsats, Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Författare :Enobong Paul Otuodung; Gulten Gorhan; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

5. 4. Adversarial Machine (Deep) Learning-basedRobustification in 5G Networks

   Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Mirjalol Aminov; [2023]
   Nyckelord :5G; Network Slicing; Adversarial Machine Learning; Machine Learning; Deep Learning;

   Sammanfattning :  A significant development in wireless communication and artificial intelligence has been made possible by the combination of 5G networks with deep learning methods. This paper explores the complex interactions between these areas, concentrating on the dangers that adversarial attacks represent in the context of 5G network slicing. LÄS MER

7. 5. Classifying Motion Patterns of Bikes using Machine Learning

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Filip Larsson; Pontus Hallqvist; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : Electric bikes have become ubiquitous in traffic, and with a growing user base and expensive prices, a demand for bike protection is increasing. Bike protection applications could include detecting and notifying the owner if their bike has been stolen or fallen over. LÄS MER