{"title":"Research Paper on Security Threats from Temperature Changes Occurrence by using Artificial Intelligence (AI) and Machine Learning (ML)","authors":"Ankit Mathani, Gunjan Bhatnagar, Ashish Gupta","doi":"10.17762/msea.v71i3s.16","DOIUrl":null,"url":null,"abstract":"In the past, climate change has been a significant problem all over the world; nonetheless, it has been challenging to mobilize collective action in response to the problem. In spite of the knowledge that climate change is a threat to our species as well as the life that already exists on our planet, this continues to be the case. The researchers who have looked into this phenomenon have come to the conclusion that effective communication regarding climate change is predicated on messages that are both emotionally charged and personally meaningful, and that pictures, in particular, are essential in order to generate awareness and concern about the subject. In spite of the widespread belief that this is the case, the majority of the conventional modes of communication that professionals employ when interacting with members of the general public are frequently founded on discoveries made in the scientific community. These studies, on the other hand, typically fail to convey either the urgency or the relevance of this huge occurrence. Utilizing Artificial Intelligence (AI) and Machine Learning Is the Purpose of Our Report So That We Can Help Bridge This Gap And Build A Tool To Promote Awareness About The Effects Of Climate Change The purpose of our report is to use AI and ML so that we can help bridge this gap and build a tool to promote (ML).","PeriodicalId":37943,"journal":{"name":"Philippine Statistician","volume":"25 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Philippine Statistician","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17762/msea.v71i3s.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 2
Abstract
In the past, climate change has been a significant problem all over the world; nonetheless, it has been challenging to mobilize collective action in response to the problem. In spite of the knowledge that climate change is a threat to our species as well as the life that already exists on our planet, this continues to be the case. The researchers who have looked into this phenomenon have come to the conclusion that effective communication regarding climate change is predicated on messages that are both emotionally charged and personally meaningful, and that pictures, in particular, are essential in order to generate awareness and concern about the subject. In spite of the widespread belief that this is the case, the majority of the conventional modes of communication that professionals employ when interacting with members of the general public are frequently founded on discoveries made in the scientific community. These studies, on the other hand, typically fail to convey either the urgency or the relevance of this huge occurrence. Utilizing Artificial Intelligence (AI) and Machine Learning Is the Purpose of Our Report So That We Can Help Bridge This Gap And Build A Tool To Promote Awareness About The Effects Of Climate Change The purpose of our report is to use AI and ML so that we can help bridge this gap and build a tool to promote (ML).
期刊介绍:
The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics: Official Statistics Computational Statistics Simulation Studies Mathematical Statistics Survey Sampling Statistics Education Time Series Analysis Biostatistics Nonparametric Methods Experimental Designs and Analysis Econometric Theory and Applications Other Applications