-74813b3e17f460286df-2eda 20220506063254092 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 05 30 2022 11 1 Department of Geography, University of Mumbai, Mumbai (Maharashtra), India. Garima Singh Rakhshit Jakhar Department of Geography, University of Mumbai, Mumbai (Maharashtra), India. Ravi Raj Faculty of Computer Science, Electronics, and Telecommunications, AGH University of Science and Technology, Krakow, Poland. Dr. Preeti Sachar Department of Geography, University of Delhi, Delhi, India. One of the biggest challenges for our society is air pollution because it is not only impacting our climate, but it affects the environment as well as human health badly. There are various pollutants present in the air nowadays that are the main reasons for disease in human beings. One of the major pollutants is Particulate Matter (PM), which is particles of very small diameter and variable, impale the respiratory system through breath, causing cardiovascular and respiratory diseases, dysfunction of the central and reproductive nervous system, and cancer. Although the ozone layer in the troposphere plays an important and protective role against irradiation of ultraviolet, it is dangerous when in extreme concentrations near the level of the ground, also impacting the cardiovascular and respiratory systems. Lastly, changes in climate resulting from environmental pollution impact the distribution of various infectious diseases, like natural disasters. The best way to overcome these issues is through awareness in public integrated with an approach multidisciplinary by scientific experts; organizations of international and national levels must study the emergence of this problem and provide sustainable solutions. This paper presents a comprehensive study on the impacts of air pollution on human health and the environment. Also, we are discussing the role of artificial intelligence to overcome these problems. 05 30 2022 129 133 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A6976.0511122 https://www.ijrte.org/portfolio-item/a69760511122/ Ph.D. Student, Department of Computer Engineering & IT, VJTI, Mumbai (Maharashtra), India. Prof. Kiran K Joshi Android apps are fast evolving throughout the mobile ecosystem, yet Android malware is always appearing. Various researchers have looked at the issue related with detection of Android malware and proposed hypothesis and approaches from various angles. According to existing studies, machine learning and deep learning seems to be an effective and promising method for detecting Android malware. Despite this, machine learning is used to detect Android malware from various angles. By evaluating a broader variety of facets of the issue, the review work complements prior evaluations. The review process undertakes a systematic literature review to discuss a number of machine learning and deep learning technology that might be used to detect and prevent Android malware from infecting mobile devices. This is a strategy to cope with the rising threat of malware in the Android apps. 05 30 2022 134 139 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true 10.35940/ijrte.A6963.0511122 https://www.ijrte.org/portfolio-item/a69630511122/