An Autonomous Sleep-Stage Detection Technique in Disruptive Technology Environment.

Autonomous sleep tracking at home has become inevitable in today's fast-paced world. A crucial aspect of addressing sleep-related issues involves accurately classifying sleep stages. This paper introduces a novel approach PSO-XGBoost, combining particle swarm optimisation (PSO) with extreme gradient boosting (XGBoost) to enhance the XGBoost model's performance.

Preparedness for managing pandemic using distributed mobile brokers - Using COVID 19 use case.

The human community has experienced the worst disaster during this pandemic spread of COVID-19. Getting essential services viz., medical, food, water, and oxygen support have been challenging during the pandemic.