All Outputs (4)

A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management (2018)
Book Chapter
Adeel, A., Gogate, M., Farooq, S., Ieracitano, C., Dashtipour, K., Larijani, H., & Hussain, A. (2019). A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management. In T. S. Durrani, W. Wang, & S. M. Forbes (Eds.), Geological Disaster Monitoring Based on Sensor Networks (57-66). Singapore: Springer. https://doi.org/10.1007/978-981-13-0992-2_5

Extreme events and disasters resulting from climate change or other ecological factors are difficult to predict and manage. Current limitations of state-of-the-art approaches to disaster prediction and management could be addressed by adopting new un... Read More about A Survey on the Role of Wireless Sensor Networks and IoT in Disaster Management.

ELM based algorithms for acoustic template matching in home automation scenarios: Advancements and performance analysis (2016)
Book Chapter
della Porta, G., Principi, E., Ferroni, G., Squartini, S., Hussain, A., & Piazza, F. (2016). ELM based algorithms for acoustic template matching in home automation scenarios: Advancements and performance analysis. In Recent Advances in Nonlinear Speech Processing (159-168). Springer. https://doi.org/10.1007/978-3-319-28109-4_16

Speech and sound recognition in home automation scenarios has been gaining an increasing interest in the last decade. One interesting approach addressed in the literature is based on the template matching paradigm, which is characterized by ease of i... Read More about ELM based algorithms for acoustic template matching in home automation scenarios: Advancements and performance analysis.

Integrating twitter traffic information with kalman filter models for public transportation vehicle arrival time prediction (2016)
Book Chapter
Abidin, A. F., Kolberg, M., & Hussain, A. (2016). Integrating twitter traffic information with kalman filter models for public transportation vehicle arrival time prediction. In M. Trovati, R. Hill, A. Anjum, S. Ying Zhu, & L. Liu (Eds.), Big-Data Analytics and Cloud Computing: Theory, Algorithms and Applications (67-82). Springer. https://doi.org/10.1007/978-3-319-25313-8_5

Accurate bus arrival time prediction is key for improving the attractiveness of public transport, as it helps users better manage their travel schedule. This paper proposes a model of bus arrival time prediction, which aims to improve arrival time ac... Read More about Integrating twitter traffic information with kalman filter models for public transportation vehicle arrival time prediction.

Nonlinear speech enhancement: An overview (2007)
Book Chapter
Hussain, A., Chetouani, M., Squartini, S., Bastari, A., & Piazza, F. (2007). Nonlinear speech enhancement: An overview. In Progress in Nonlinear Speech Processing (217-248). https://doi.org/10.1007/978-3-540-71505-4_12

This paper deals with the problem of enhancing the quality of speech signals, which has received growing attention in the last few decades. Many different approaches have been proposed in the literature under various configurations and operating hypo... Read More about Nonlinear speech enhancement: An overview.