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              <text>Sustainable driven Predictive Approaches to Address Climatic Crisis: Issues and Challenges</text>
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              <text>analysis; Artificial neural network; Climatic crisis; Lasso; Random Forest; Support Vector Machine; variance</text>
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              <text>The issue of climate crisis is currently one of the critical challenges humanity faces in the present era and it holds significant implications, for the future of our planet. To gain an understanding and mitigate the impacts of climate change several methods have been developed to model and forecast future climate trends. This paper critically analyzes sustainable techniques utilized in studying the climate crisis, such as statistical models, machine learning algorithms and climate simulations. The strengths and limitations of each method is analyzed while also considering the factors that can affect their accuracy and reliability. By consolidating existing research on this subject our aim is to provide insights into the effective sustainable approaches for predicting our climates future trajectory while offering suggestions for further research, in this crucial field.   2023 IEEE.</text>
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              <text>Sahu K.; Bhardwaj I.; Sharma V.; Mishra S.; Habelalmateen M.I.</text>
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              <text>International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023, pp. 362-368.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>&lt;a href="https://doi.org/10.1109/ICTEASD57136.2023.10584934" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICTEASD57136.2023.10584934&lt;/a&gt;
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              <text>ISBN: 979-835033647-4</text>
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              <text>Sahu K., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Bhardwaj I., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST (Deemed to Be University), Delhi NCR, India; Mishra S., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Habelalmateen M.I., The Islamic University, College of Technical Engineering, Najaf, Iraq</text>
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