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Debabrata Swain

As seen in: Economic Affairs, MDPI
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Articles

Forecasting Maximum Temperature Trends with SARIMAX: A Case Study from Ahmedabad, India

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By Vyom Shah, Nishil Patel, Dhruvin Shah, Debabrata Swain
| MDPI
1. Introduction The phenomenon of climate change, primarily characterized by a significant rise in global temperatures, presents unprecedented challenges for our planet. This escalation in temperature is especially perilous in densely populated and industrial areas, where the effects of heatwaves are exacerbated by the emission of greenhouse gases. Such environmental shifts are leading to severe, multifaceted consequences.
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Forecasting Temperature Trends Using SARIMAX: A Case Study in Ahmedabad City, India

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By Vyom Shah, Nishil Patel, Dhruvin Shah, Debabrata Swain
| Preprints.org
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 18 July 2024 / Approved: 18 July 2024 / Online: 18 July 2024 (14:27:50 CEST) Shah, V.; Patel, N.; Shah, D. A.; Swain, D.; Mohanty, M.; Acharya, B.; Gerogiannis, V. C.; Kanavos, A. Forecasting Temperature Trends Using SARIMAX: A Case Study in Ahmedabad City, India. Preprints 2024, 2024071521. https://doi.org/10.20944/preprints202407.1521.v1 Shah, V.; Patel, N.; Shah, D.
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COVID-19 Detection from Chest X-ray Images Based on Deep Learning Techniques

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By Santosh Kumar Satapathy, Shubham Mathesul, Debabrata Swain, Ayush Rambhad
| MDPI
2. Related Work The healthcare domain has witnessed significant advancements in image processing, machine learning (ML), deep learning (DL), and computer vision over the past two decades. The outbreak of the COVID-19 pandemic further accelerated research in these fields, leading to a surge in studies related to COVID-19 detection and diagnosis using medical imaging [1,9,10,11,12,13].
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