Outputs (110)

Deterministic Dispersion of Mobile Robots in Dynamic Rings (2018)
Conference Proceeding
Agarwalla, A., Augustine, J., Moses Jr., W. K., Sankar K., M., & Sridhar, A. K. (2018). Deterministic Dispersion of Mobile Robots in Dynamic Rings. . https://doi.org/10.1145/3154273.3154294

Recurrent neural networks for financial time-series modelling (2018)
Conference Proceeding
Tsang, G., Deng, J., & Xie, X. (2018). Recurrent neural networks for financial time-series modelling. . https://doi.org/10.1109/icpr.2018.8545666

Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy (2018)
Conference Proceeding
Maciel-Pearson, B., Carbonneau, P., & Breckon, T. (2018). Extending Deep Neural Network Trail Navigation for Unmanned Aerial Vehicle Operation within the Forest Canopy. In Proc. Towards Autonomous Robotic Systems Conference (147-158). https://doi.org/10.1007/978-3-319-96728-8_13

Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system (2018)
Conference Proceeding
Guan, C., Qin, S., Ling, W., & Long, Y. (2018). Enhancing apparel data based on fashion theory for developing a novel apparel style recommendation system.

Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation (2018)
Conference Proceeding
Kaneko, K., & Wang, J. (2018). Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation. . https://doi.org/10.1109/iiai-aai.2018.00056

This paper discusses about learning methods to overcome stress or pressure. We had an experiment in which learners were given a quiz game for each learner to need responsibility for their team. Each learner was also given learning time for the game s... Read More about Behavior Analysis of Learning Methods to Overcome Stress or Pressure on Learning Situation.

Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement (2018)
Conference Proceeding
Alzahrani, I. R., Ramzan, N., Katsigiannis, S., & Amira, A. (2018). Use of Machine Learning for Rate Adaptation in MPEG-DASH for Quality of Experience Improvement. . https://doi.org/10.1007/978-3-319-78753-4

DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing (2018)
Conference Proceeding
Mudgill, V., Aujla, G. S., Kumar, N., Obaidat, M. S., & Prodan, R. (2018). DLopC: Data Locality Independency-Aware VM Clustering in Cloud Computing. . https://doi.org/10.1109/glocomw.2018.8644081

Remote Heart Rate Extraction Using Microsoft KinectTM v2.0 (2018)
Conference Proceeding
Malasinghe, L., Katsigiannis, S., Ramzan, N., & Dahal, K. (2018). Remote Heart Rate Extraction Using Microsoft KinectTM v2.0. . https://doi.org/10.1145/3232059.3232060

On Occupancy Based Randomized Routing Schemes in Large Systems of Shared Servers (2018)
Conference Proceeding
Vasantam, T., & Mazumdar, R. R. (2018). On Occupancy Based Randomized Routing Schemes in Large Systems of Shared Servers. . https://doi.org/10.1109/itc30.2018.00013

Superframes, A Temporal Video Segmentation (2018)
Conference Proceeding
Sokeh, H. S., Argyriou, V., Monekosso, D., & Remagnino, P. (2018). Superframes, A Temporal Video Segmentation.