All Outputs (3)

A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises (2022)
Journal Article
Mishra, B. K., Dahal, K., Pervez, Z., & Bhattarai, S. (2022). A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises. Decision Analytics Journal, 5, Article 100128. https://doi.org/10.1016/j.dajour.2022.100128

In a disaster scenario, relief items distribution is required as early as possible for the disaster victims to reduce the associated risks. For the distribution tasks, an effective and efficient relief items distribution model is essential to generat... Read More about A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises.

Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment (2022)
Journal Article
Mishra, B. K., Dahal, K., & Pervez, Z. (2022). Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment. Applied Sciences, 12(16), Article 8358. https://doi.org/10.3390/app12168358

In smart cities, relief items distribution is a complex task due to the factors such as incomplete information, unpredictable exact demand, lack of resources, and causality levels, to name a few. With the development of Internet of Things (IoT) techn... Read More about Dynamic Relief Items Distribution Model with Sliding Time Window in the Post-Disaster Environment.

Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring (2022)
Journal Article
Kureshi, R., Mishra, B., Thakker, D., John, R., Walker, A., Simpson, S., …Wante, A. (2022). Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring. Sensors, 22(3), Article 1093. https://doi.org/10.3390/s22031093

With the emergence of Low-Cost Sensor (LCS) devices, measuring real-time data on a large scale has become a feasible alternative approach to more costly devices. Over the years, sensor technologies have evolved which has provided the opportunity to h... Read More about Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring.