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Showing result 11 - 15 of 62 essays matching the above criteria.

1. 11. Estimation of average travel speed on a road segment based on weather and road accidents

   University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

   Author : André Höjmark; Vivek Singh; [2023]
   Keywords : average travel speed; road segment; weather; road accidents; LSTM; GRU; weather stations; sweden;

   Abstract : The previous research available to predict travel speed is wide and has been extensively studied. What currently is missing from the previous work is to estimate the travel speed when different non-recurrent events occur, such as car accidents and road maintenance work. READ MORE

3. 12. Graph Neural Network for Traffic Flow Forecasting : Does an enriched adjacency matrix with low dimensional dataenhance the performance of GNN for traffic flow forecasting?

   University essay from Högskolan i Halmstad/Akademin för informationsteknologi

   Author : Fredrik Kortetjärvi; Rohullah Khorami; [2023]
   Keywords : Graph Neural Network;

   Abstract : Nowadays, machine learning methods are used in many applications and deployed in manyelectronic devices to solve problems and predict future states. One of the challenges mostbig cities confront is traffic jams since the roads are crammed with more and more vehicles, which will easily cause traffic congestion. READ MORE

4. 13. Telecom Fraud Detection Using Machine Learning

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

   Author : Chao Xiong; [2022]
   Keywords : Fraud Detection; Anomaly Detection; Machine Learning; Deep Learning; International Revenue Sharing Fraud;

   Abstract : International Revenue Sharing Fraud (IRSF) is one of the most persistent types of fraud within the telecommunications industry. According to the 2017 Communications Fraud Control Association (CFCA) fraud loss survey, IRSF costs 6 billion dollars a year. Therefore, the detection of such frauds is of vital importance to avoid further loss. READ MORE

5. 14. Prediction of the number of weekly covid-19 infections : A comparison of machine learning methods

   University essay from Högskolan i Skövde/Institutionen för informationsteknologi

   Author : Nicklas Branding; [2022]
   Keywords : Machine learning; deep learning; covid-19; public health science; number of infection; regression; long short term memory; gated recurrent unit; support vector regressor; long short term memory-convolutional neural network; bidirectional-long short term memory;

   Abstract : The thesis two-folded problem aim was to identify and evaluate candidate Machine Learning (ML) methods and performance methods, for predicting the weekly number of covid-19 infections. The two-folded problem aim was created from studying public health studies where several challenges were identified. READ MORE

6. 15. Efficient Music Thumbnailing for Genre Classification

   University essay from KTH/Matematisk statistik

   Author : Adam Skärbo Jonsson; [2022]
   Keywords : Music thumbnailing; Music genre classification; Machine learning; Deep learning; Bidirectional recurrent neural network; RNN; Musikgenreklassificering; Maskininlärning; Djupinlärning; RNN;

   Abstract : For music genre classification purposes, the importance of an intelligent and content-based selection of audio samples has been mostly overlooked. One common approach toward representative results is to select samples at predetermined locations. This is done to avoid analysis of the full audio during classification. READ MORE