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Více informací o knize Nature-Inspired Optimization Methodologies in Biomedical and Healthcare

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Anotace knihy

This book introduces a variety of well-proven and newly developed nature-inspired optimization algorithms solving a wide range of real-life biomedical and healthcare problems. Few solo and hybrid approaches are demonstrated in a lucid manner for the effective integration and finding solution for a large-scale complex healthcare problem. In the present bigdata-based computing scenario, nature-inspired optimization techniques present adaptive mechanisms that permit the understanding of complex data and altering environments. This book is a voluminous collection for the confront faced by the healthcare institutions and hospitals for practical analysis, storage, and data analysis. It explores the distinct nature-inspired optimization-based approaches that are able to handle more accurate outcomes for the current biomedical and healthcare problems. In addition to providing a state-of-the-art and advanced intelligent methods, it also enlightens an insight for solving diversified healthcare problems such as cancer and diabetes.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Nature-Inspired Optimization Methodologies in Biomedical and Healthcare
• Autor: Janmenjoy Nayak, Asit Kumar Das, Bighnaraj Naik, Saroj K. Meher, Sheryl Brahnam
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 293
• EAN: 9783031175466
• ID: 44406287
• Nakladatelství: Springer, Berlin
• Rozměry: 235 × 155 mm
• Rok vydání: 2023

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