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Data Analytics for Pandemics A COVID-19 Case Study by Gitanjali Rahul Shinde Asmita Balasaheb Kalamkar Parikshit N. Mahalle and Nilanjan Dey New Release 2026/2027
Explore the critical intersection of intelligent signal processing and data analytics in managing global health crises with this comprehensive resource. Authored by Gitanjali Rahul Shinde, Asmita Balasaheb Kalamkar, Parikshit N. Mahalle, and Nilanjan Dey, 'Data Analytics for Pandemics: A COVID-19 Case Study' is part of the CRC Focus Series on Intelligent Signal Processing and Data Analysis. This newly released 2026/2027 academic edition delves into advanced techniques including artificial fuzzy logic, deep learning, optimization algorithms, and neural networks applied to real-world pandemic data. It serves as an essential guide for researchers and students in biomedical signal analysis, telecommunications, and geophysical processing, offering scientific breakthroughs through rigorous case study analysis of the COVID-19 outbreak.
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