Machine learning-based approach to predict ice meltdown in glaciers due to climate change and solutions

被引:2
|
作者
Pant, Piyush [1 ]
Rajawat, Anand Singh [1 ]
Goyal, S. B. [2 ]
Chakrabarti, Prasun [3 ]
Bedi, Pradeep [4 ]
Salau, Ayodeji Olalekan [5 ,6 ]
机构
[1] Sandip Univ, Sch Comp Sci & Engn, Nasik, India
[2] City Univ, Fac Informat Technol, Petaling Jaya 46100, Malaysia
[3] ITM SLS Baroda Univ, Vadodara Gujarat 391510, India
[4] Galgotias Univ, Dept Comp Sci & Engn, Greater Noida 203201, India
[5] Afe Babalola Univ, Dept Elect Elect & Comp Engn, Ado Ekiti, Nigeria
[6] Saveetha Inst Med & Tech Sci, Saveetha Sch Engn, Chennai, India
关键词
Artificial Intelligence; Big Data; Climate change; Data science; Machine learning; Multivariate Linear Regression;
D O I
10.1007/s11356-023-28466-0
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The fate of humankind and all other life forms on earth is threatened by a foe, known as climate change. All parts of the world are affected directly or indirectly by this phenomenon. The rivers are drying up in some places and in other places, it is flooding. The global temperature is rising every year and the heat waves are taking many souls. The cloud of "extinction" is upon the majority of flora and fauna; even humans are prone to various fatal and life-shortening diseases from pollution. This is all caused by us. The so-called "development" by deforestation, releasing toxic chemicals into air and water, burning of fossil fuels in the name of industrialisation, and many others have made an irreversible cut in the heart of the environment. However, it is not too late; all of this could be healed back with the help of technology and our efforts together. As per the international climate reports, the average global temperature has increased by a little more than 1 & DEG;C since 1880s. The research is primarily focused on the use of machine learning and its algorithm to train a model that predicts the ice meltdown of a glacier, given the features using the Multivariate Linear Regression. The research strongly encourages the use of features by manipulating them to determine the feature with a major impact on the cause. The burning of coal and fossil fuels is the main source of pollution as per the study. The research focuses on the challenges to gather data that would be faced by the researchers and the requirement of the system for the development of the model. The study is aimed to spread awareness in society about the destruction we have caused and urges everyone to come forward and save the planet.
引用
收藏
页码:125176 / 125187
页数:12
相关论文
共 50 条
  • [31] Analysis of Correlation between Climate Change and Human Health Based on a Machine Learning Approach
    Pizzulli, Vito Alberto
    Telesca, Vito
    Covatariu, Gabriela
    HEALTHCARE, 2021, 9 (01)
  • [32] Machine Learning-Based Approach for Hardware Faults Prediction
    Khalil, Kasem
    Eldash, Omar
    Kumar, Ashok
    Bayoumi, Magdy
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2020, 67 (11) : 3880 - 3892
  • [33] Machine Learning-Based Approach for Fake News Detection
    Gururaj H.L.
    Lakshmi H.
    Soundarya B.C.
    Flammini F.
    Janhavi V.
    Journal of ICT Standardization, 2022, 10 (04): : 509 - 530
  • [34] Subtyping of hepatocellular adenoma: a machine learning-based approach
    Yongjun Liu
    Yao-Zhong Liu
    Lifu Sun
    Yoh Zen
    Chie Inomoto
    Matthew M. Yeh
    Virchows Archiv, 2022, 481 : 49 - 61
  • [35] Machine Learning-Based Approach for the Gambling Problem Identification
    Kozak, Jan
    Probierz, Barbara
    Juszczuk, Przemyslaw
    Dziczkowski, Grzegorz
    Jach, Tomasz
    Stefanski, Piotr
    Glowania, Szymon
    Hrabia, Anita
    Wolek, Gabriel
    Sznapka, Wojciech
    Swierk, Lukasz
    Joniec, Natalia
    VIETNAM JOURNAL OF COMPUTER SCIENCE, 2025,
  • [36] A Machine learning-based approach to determining stress in rails
    Belding, Matthew
    Enshaeian, Alireza
    Rizzo, Piervincenzo
    STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, 2023, 22 (01): : 639 - 656
  • [37] Evaluating a Machine Learning-based Approach for Cache Configuration
    Ribeiro, Lucas
    Jacobi, Ricardo
    Junior, Francisco
    da Silva, Jones Yudi
    Silva, Ivan Saraiva
    2022 IEEE 13TH LATIN AMERICAN SYMPOSIUM ON CIRCUITS AND SYSTEMS (LASCAS), 2022, : 180 - 183
  • [38] Predicting mergers & acquisitions: A machine learning-based approach
    Zhao, Yuchen
    Bi, Xiaogang
    Ma, Qing-Ping
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2025, 99
  • [39] A Machine Learning-Based Approach for Crop Price Prediction
    Gururaj, H. L.
    Janhavi, V.
    Lakshmi, H.
    Soundarya, B. C.
    Paramesha, K.
    Ramesh, B.
    Rajendra, A. B.
    JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS, 2024, 33 (03)
  • [40] A Machine Learning-Based Lexicon Approach for Sentiment Analysis
    Sahu, Tirath Prasad
    Khandekar, Sarang
    INTERNATIONAL JOURNAL OF TECHNOLOGY AND HUMAN INTERACTION, 2020, 16 (02) : 8 - 22