Search in
Keywords

Applied Sciences Conference Proceedings, Engineering Research Papers, Machine Learning Applications, Computer Science Research, Artificial Intelligence in Engineering, Blockchain Applications in Research, IoT Based Engineering Systems, Renewable Energy Optimization, Smart Grid Technology India, MIMO Antenna Design Research, Solar PV System Optimization, Deep Learning Medical Diagnosis, COVID-19 Detection AI, Image Classification CNN, Data Science in Engineering, Wireless Communication Systems 5G 6G, Climate Change Data Analysis, Statistical Research Methods Applied Science, Intrusion Detection System AI, Algorithmic Trading Machine Learning

Advances in Applied Sciences, Engineering, and Intelligent Technologies

Language: English | Imprint: NIPA

Hardback

ISBN: 9789367559116
Pages: 750 | Length: 152 mm | Breadth: 39.5 mm | Height: 229 mm | Weight: 1300 GSM
Print Book Price: 400.00 USD (Get 10% OFF)
Shipping:
Free Worldwide Delivery Within 10-15 Days By Indian Post (Traceable Methods)

EBook

EISBN: 9789367556177
Ebook Individual Price: 0.00 USD
Individual Rates Only:
Access valid for 30 days from the date of activation for single user only.

eChapter

eChapter details: Available in the Content section below.
<p style="text-align:justify">This edited volume, <strong>Advances in Applied Sciences, Engineering, and Intelligent Technologies</strong>, presents a comprehensive collection of contemporary research across Applied Science, Engineering, Machine Learning, and Computer Science domains. It highlights cutting-edge innovations addressing real-world challenges through interdisciplinary approaches that combine theoretical foundations with practical applications. The book covers diverse topics such as statistical modeling, environmental sustainability, computational fluid dynamics, biomedical studies, digital transformation, renewable energy systems, and advanced materials research.</p> <p style="text-align:justify">In engineering and technology sections, the volume explores smart grids, antenna design, solar energy systems, EV charging optimization, and IoT-based innovations. The machine learning section emphasizes deep learning, AI-driven healthcare diagnostics, cybersecurity, financial prediction models, and autonomous systems. The contributions reflect emerging trends in artificial intelligence, data analytics, and sustainable technologies.</p> <p style="text-align:justify">Designed for researchers, academicians, and industry professionals, this book serves as a valuable reference for understanding current advancements and fostering innovation in applied sciences and modern technological research.</p>
Payment Methods