https://joaocarlos.github.io/Hugo-academia/tags/deep-learning/Recent content in Deep Learning on Dr. Jane SmithHugoenSat, 15 Jun 2024 00:00:00 +0000https://joaocarlos.github.io/Hugo-academia/papers/deep-learning-for-urban-traffic-prediction/Sat, 15 Jun 2024 00:00:00 +0000https://joaocarlos.github.io/Hugo-academia/papers/deep-learning-for-urban-traffic-prediction/Abstract We present a novel deep learning architecture for predicting urban traffic patterns using multi-modal sensor data. Our approach combines convolutional neural networks with attention mechanisms to capture both spatial and temporal dependencies in traffic flow. Experiments on real-world datasets from three major cities demonstrate that our method outperforms existing approaches by 15% in prediction accuracy while reducing computational requirements by 40%. Citation @article{smith2024traffic, title = {Deep Learning for Urban Traffic Prediction}, author = {Smith, Jane and Doe, John and Johnson, Alice}, journal = {IEEE Transactions on Intelligent Transportation Systems}, year = {2024}, doi = {10.