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              <text>Effective Temperature Prediction for An Enhanced Climate Forecast System</text>
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              <text>Ever since the first industrial revolution, there has been a subtle temperature change. The transition to new manufacturing processes in conjunction with the surge in population has a negative consequence on the earths atmosphere. Climate change has been identified as the most crucial environmental issue of this century, and it has sparked heated discussions [1]. Temperature is the most common metric to evaluate the change in climate/global warming. It is anticipated that climate change will result in an adverse and enduring impact on the ecosystem. Weather forecasting today extensively depends on conventional methodologies and requires complex and complicated infrastructure [2]. Prime problems concern quality of acquired data, timeliness, availability, reliability, and usability constraints on forecast preparation.  2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.</text>
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              <text>Mohammed Mueen Pasha M.; Cyriac S.</text>
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              <text>Artificial Intelligence in Forecasting: Tools and Techniques, pp. 304-315.</text>
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              <text>&lt;a href="https://doi.org/10.1201/9781003399292-19" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1201/9781003399292-19&lt;/a&gt;
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              <text>ISBN: 978-104005150-4; 978-103250615-9</text>
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              <text>Mohammed Mueen Pasha M., St. Josephs University, Bengaluru, India; Cyriac S., Department of Computer Science and Applications, CHRIST University, Bengaluru, India</text>
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