ABSTRACT
As the world has not fully recovered from the aftermath of COVID-19, a new pandemic appears on the horizon. Monkey Pox is emerging as a new threat to the health of the world population. With the recorded spread over 40 countries worldwide it might be soon declared a pandemic. Monkey Pox shares common features with chickenpox and measles making it difficult to diagnose. Developing a new test kit at this early stage is a challenging task for the medical fraternity. This paper proposes the use of deep learning models that can be used to make the process of diagnosis automated. This paper tries to come up with a performance comparison of ResNet50, EfficientNetB3 and EfficientNetB7 algorithms. This study suggests a method for early detection of Monkey Pox Skin Lesion. Though an extensive study with other models on a larger dataset containing more images from various countries of the world needs to be carried out but this study gives some promising results on this limited dataset. © 2022 IEEE.
ABSTRACT
Washrooms are a ubiquitous, yet essential element connected with day-to-day living environments. Public washrooms or restrooms are a common feature in all public buildings. They are often linked to the notion of 'unclean' environments, due to the sheer number of people who use its services. From a health and safety perspective, it is imperative to maintain hygiene standards that will provide confidence to its users. This is especially true in the Covid-19 pandemic situation, where disinfection is of prime importance. Several elements contribute to a clean washroom, and some elements can benefit from Internet of Things (IoT) technologies. This paper introduces a framework for the use of IoT technology for implementing a Smart Washroom. Our research further explores public perception of clean washrooms and introduces a novel mobile app-based approach to locate clean public washrooms. © 2021 IEEE.