Real Time
Real-time processing focuses on developing systems capable of analyzing and responding to data instantaneously, crucial for applications demanding immediate feedback. Current research emphasizes efficient algorithms and model architectures, such as those based on deep learning, to reduce computational latency in diverse domains including robotics, healthcare, and AI-assisted tutoring. This field's advancements are driving progress in areas like autonomous navigation, personalized healthcare monitoring, and human-computer interaction, enabling more responsive and effective systems.
Papers
March 5, 2023
March 1, 2023
February 27, 2023
February 24, 2023
February 22, 2023
February 21, 2023
Analysis of Real-Time Hostile Activitiy Detection from Spatiotemporal Features Using Time Distributed Deep CNNs, RNNs and Attention-Based Mechanisms
Labib Ahmed Siddique, Rabita Junhai, Tanzim Reza, Salman Sayeed Khan, Tanvir Rahman
Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations
Xun Zhu, Yutong Xiong, Ming Wu, Gaozhen Nie, Bin Zhang, Ziheng Yang
February 17, 2023
February 16, 2023
February 10, 2023
February 6, 2023
February 3, 2023
February 2, 2023
January 19, 2023
January 11, 2023
January 9, 2023
January 4, 2023
December 22, 2022
December 20, 2022