Md. Manowarul Islam, Rahatara Ferdousi, Sadikur Rahman, Humayra Yasmin Bushra
M. Anwar Hossain, Rahatara Ferdousi, Mohammed F. Alhamid
Early-stage disease risk prediction can be beneficial to improve the health of the mass and can reduce the economic burden of late treatment. Machine learning has played a pivotal role in predictive systems, which requires achieving a specific degree of accuracy for healthcare systems. Most recently...
M. Anwar Hossain, Rahatara Ferdousi, SK Alamgir Hossain, Mohammed F. Alhamid et al.
Internet of Things (IoT) has been the driving force for many smart city applications. The huge volume of IoT data generated from these applications require efficient processing to get the insight, which poses significant difficulty. Data mining and machine learning (DM) algorithms are used to minimi...
Rahatara Ferdousi, Parichay Kumar Mandal
In the Internet of things (IoT), research arena Constrained application protocol (CoAP) is becoming the most accepted protocol for IoT service discovery. To make the protocol more performance promising new recommendations are amending to the existing mechanism of discovering services. In this paper ...
Rahatara Ferdousi, Md. Helaluddin, Aysha Akther, Kazi Masudul Alam
Service discovery is one of the key requirements to realize the vision of the Internet of Things (IoT). Constrained application protocol (CoAP) is a well-accepted model that utilizes both centralized and distributed service discovery methods for lightweight and constrained IoT networks. Since CoAP i...
Anika Tabassum Bristy, Rahatara Ferdousi, Arman Hossain, Md. Maidul Islam et al.
Epidemic outbreaks are collective effects of ongoing globalization, urbanisation, population mobility, climate change, demographic change and evolution of newer strains of infectious agents that result in high morbidity, mortality and huge financial loss, such as COVID-19. Thus, the early prediction...