A Novel Approach for Identification of Tomato Flu using Deep Learning

The study proposes a novel deep learning-based model for early and accurate detection of the Tomato Flu virus, also known as tomato fever, which has recently emerged in children under the age of five in the Indian state of Kerala. The model utilizes a deep learning method to classify skin pictures and check whether a person is suffering from the virus or not, with an accuracy of 100% and a validation loss of 0.2463. Additionally, an API is developed for easy integration into various web/app frameworks. The authors highlight the importance of careful management of rare viral diseases, especially in the context of the ongoing COVID-19 pandemic. © 2023 Bharati Vidyapeeth, New Delhi.

Accuracy and Performance Enhancement in E-Healthcare System Using Advanced Iot Based Model

The Internet of Things consists of physical things with sensors, computing power, and software that link to other devices or systems through the Internet or another communication network. Currently, IoT is being employed in health care research. Using a healthcare dataset, a trained network was used in this research to make judgments. The study uses the LSTM model for prediction in the present IoT system to produce a reliable and adaptable solution for healthcare. Connecting everything to the internet so people may live in a secure and comfy environment is the goal of the Internet of Things. Connecting everything in our environment is the main goal of the IoT. The internet might have an impact on computers that aren't directly connected to it. With the aid of the Internet of Things, patients who live distant from a healthcare centre are being helped. Researching the present IoT system's problems is essential in order to develop an effective, practical, and scalable solution for improving healthcare. There must be a strong basis for health-care apps to succeed. It has been anticipated that mankind would face increased health care issues in the future with the introduction of COVID 19. Healthcare solutions that are more trustworthy and precise will be needed, along with the capacity to treat health concerns remotely in a highly effective manner. Existing IoT-based studies are being analyzed for their effectiveness and accuracy by researchers doing in-depth analyses. The integration of LSTM-based intelligent approach to IoT system is being proposed as a method to increase the accuracy of the medical prescription and prescribing system. Research is focusing on improving accuracy and performance. Copyright © 2022, Anka Publishers. All rights reserved.