Name: Adaptive AI in Sensor Informatics. Methods, Applications, and Implications
Price: 638421.00 COP
Availability: InStock
Author: Karthik, PhD Ramamurthy;Suganthi, PhD Kulanthaivelu;Seifedine, BSc, MSc, PhD, HDR Kadry;S., PhD Sountharrajan;S. B., PhD Goyal
ISBN: 9780443364129

portada Adaptive AI in Sensor Informatics. Methods, Applications, and Implications

Adaptive AI in Sensor Informatics. Methods, Applications, and Implications

Formato

Libro Físico

Editorial

Elsevier - Health Sciences Division

Autor

Karthik, PhD Ramamurthy;Suganthi, PhD Kulanthaivelu;Seifedine, BSc, MSc, PhD, HDR Kadry;S., PhD Sountharrajan;S. B., PhD Goyal

Año

2026

N° páginas

330

Encuadernación

Tapa Blanda

Dimensiones

23.50 x 19.10 cm

ISBN13

9780443364129

Adaptive AI in Sensor Informatics. Methods, Applications, and Implications

Karthik, Phd Ramamurthy;Suganthi, Phd Kulanthaivelu;Seifedine, Bsc, Msc, Phd, Hdr Kadry;S., Phd Sountharrajan;S. B., Phd Goyal (Autor) · Elsevier - Health Sciences Division · Tapa Blanda

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Reseña del libro "Adaptive AI in Sensor Informatics. Methods, Applications, and Implications"

Adaptive AI in Sensor Informatics: Methods, Applications, and Implications explores the growing need for efficient, interpretable, and reliable adaptive AI systems tailored to wireless sensor networks. The book highlights how adaptive AI strengthens collaboration between humans and artificial intelligence by enabling transparent decision-making processes. Aimed at academics, professionals, and students, it provides an accessible yet thorough guide to understanding the intersection of adaptive AI and sensor informatics, focusing on practical implementation and the development of models that are both trustworthy and user-friendly. Readers will gain insight into the essential role adaptive AI plays in advancing wireless sensor networks across various sectors. The book also examines the unique challenges and opportunities that arise when deploying adaptive AI in real-world sensor environments. It offers actionable advice for designing AI models that comply with regulations and support user confidence, especially in areas such as healthcare, environmental monitoring, smart cities, and industrial automation.