European Journal of Molecular & Clinical Medicine

The main aim of this paper is to know whether the temperature have any impact on the increase of corona virus. Covid-19, this name has brought a drastic change in our day-to-day life. People of Telangana have lived through 10 months of the Covid-19 pandemic and there might be more to come. Till date 2.8lakh official cases of covid-19 have been registered in Telangana and there may be many more which have gone unnoticed. In our busy life, we are neglecting our health and no one is maintaining a proper hygiene. And we have been more addicted to junk foods rather than nutrition, because of this reason covid-19 became a threat to our life. So proper precautions and awareness must be spread among people to avoid spread of virus. Fever, cough, breathing problems etc are the
symptoms of this covid-19. If we neglect these symptoms it leads to a severe problem like pneumonia, kidney failure and eventually leads to death of that person. At this moment we don’t have any vaccine to cure this disease, the only prevention or avoiding corona is to boost our immune system. To overcome this pandemic situation, firstly we need to know the important factors that increases in covid-19 cases. In this paper, machine learning techniques are used to identify how temperature varies with the increase of covid-19. Which means we find how the effect of temperature depends on the number of covid-19 cases in Telangana

This work presents a recent study of environment, climate and climate change climate imbalance. When conducting this exercise, the actuarial profession must be aware of the fact that there are different views on the nature and extent of the risks even within the climate change science community, and the profession should be aware of these different views. Average temperature increase is just one predictor of wider changes that also turn into extreme temperatures, drought, floods, hurricanes, rising sea levels, food production impacts, and infectious diseases. This work provides some insight to these concerns, explaining some of the current and future risks involved, the potential impacts of these risks, and the efforts being made around the world to reduce these risks. Empowered by broader exposure to this information, actuaries can use their skills to measure these risks and provide advice to the different audiences that help to improve society as a whole's well-being. Failure to provide advice on these risks by the actuarial profession could harm its reputation.

Sensing in forest area is the most widely used application concerning investigation studies
of climate change. Wireless sensor networks with spatially scattered sensors enable the
application to record climate change disturbance detecting condition changes in
temperature, humidity, sound, wind, etc. The highly automated method herein can pass the
observed information bi-directionally to the system sink, empowering sensor activity
control. It is common knowledge that a multisensor environment has hundreds or
thousands of sensor nodes connected. With recent innovations, the remarkable challenge
faced in a multisensor climate is to rapidly acquire specific information from a reliable
route exhibiting high data accuracy. This proposed ADKF-DT-MF algorithm for
multisensor data fusion combines sensor information in-continuous time, providing a
rapid information exchange on climate change for environmental awareness. The findings
significantly show a better RMSE of 0.85 than the previous results reported in the
literature MHT-EnKF. The quality of estimation was explored, calculating the best costs,
ensuring an increase in data fusion accuracy for active awareness. The tests on simulated
data applying fuzzy membership optimization function show improvement in the ADKFDT-
MF multisensor fusion system's performance.