Mohlo by se vám také líbit

Více informací o knize AI and Blockchain Optimization Techniques in Aerospace Engineering

• Parametry knihy
• Anotace
• Oblíbené z jiného soudku

Nákupem získáte 703 bodů

Anotace knihy

The amalgamation of artificial intelligence (AI), optimization techniques, and blockchain is revolutionizing how to conceptualize, design, and operate aerospace systems. While optimization techniques are pivotal in streamlining aerospace processes, security challenges have recently surfaced. AI and Blockchain Optimization Techniques in Aerospace Engineering delves into the transformative impact of technologies on various facets of the aerospace industry, offering a multidimensional solution to overcome security concerns and enhance the overall efficiency of aerospace systems The book explores how machine learning reshapes aerospace systems by automating complex tasks through self/reinforced learning methods. From air traffic data analysis to flight scheduling, geographical information, and navigation, machine learning has become an indispensable tool, offering valuable insights that enhance aerospace operations. Simultaneously, blockchain technology, with its inherent characteristics of decentralization and tamper-proof ledgers, ensures transparency, accountability, and security in transactions, providing an innovative approach to data integrity and system resilience. Designed for technology development professionals, academicians, data scientists, industrial experts, researchers, and students, the book offers a panoramic view of the latest innovations in the field.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Technik Chemische Technik

• Plný název: AI and Blockchain Optimization Techniques in Aerospace Engineering
• Autor: Rahul Ratnakumar, U. Vignesh
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 280
• EAN: 9798369344620
• ID: 45271937
• Nakladatelství: IGI Global
• Hmotnost: 532 g
• Rozměry: 254 × 178 × 15 mm
• Datum vydání: 05. March 2024

---

---

---