Artificial Intelligence Applications in Aeronautical and Aerospace Engineering
Artificial Intelligence Applications in Aeronautical and Aerospace Engineering
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Author(s): Kumar
ISBN No.: 9781394268764
Pages: 448
Year: 202510
Format: Trade Cloth (Hard Cover)
Price: $ 335.14
Dispatch delay: Dispatched between 7 to 15 days
Status: Available

Preface xvii Part 1: Safety and Security 1 1 Artificial Intelligence Based Habitual and Average DoS Attack Detection in Avionics and Necessity Estimators in Wireless Ad Hoc and Sensor Networks 3 C. R. Bharathi and D. Mahammad Rafi 2 Artificial Intelligence Aerospace Based Penetrating Denial of Service Attack in Wireless Sensor Network 19 C. R. Bharathi and D. Mahammad Rafi 3 Application of Artificial Intelligence and Machine Learning in Computational Fluid Dynamics 37 G. Gowtham, S.


Nithya and R. Sundharesan 4 Deep Learning Based Secure Predictive Maintenance Framework for Industrial Maintenance Using Autonomous Drones 61 Sharanya S., Karthikeyan S., Prabhakar E. and Manirao Ramachandrarao 5 Role of Artificial Intelligence in the Life Cycle of Aircraft 79 Karthikeyan S., Sharanya S., Manirao Ramachandrarao and N. Dilip Raja 6 Artificial Intelligence for Aeronautical and Aerospace Applications Using Fuzzy Logic Controller 99 Anumula Swarnalatha and R.


Asad Ahmed 7 Revolutionizing Aerospace Quality Control: Harnessing AI for Defect Detection 109 Naveen R., Rakesh Kumar C., Kowsalya, Fadhilah Mohd Sakri and Prasad G. 8 Utilizing AI Techniques for Detecting Damage in Aerospace Applications 133 Rakesh Kumar C., Naveen R., Kowsalya, Fadhilah Mohd Sakri and Prasath M.S. 9 Sense and Avoid System for Navigation of Micro Aerial Vehicle in Cluttered Environments 151 Anbarasu B.


, Anitha G., Balaji G., Shabahat Hasnain Qamar, Sathish Kumar K., Naren Shankar R. and Santhosh Kumar G. Part 2: Technological Advancements and Innovations 169 10 A Review on Mixed Reality and Artificial Intelligence for Smart Aviation Sector: Current Trends, Opportunities, and Challenges 171 G. Jegadeeswari, B. Kirubadurai, Jaganraj R.


and Vinoth Thangarasu 11 A Comprehensive Assessment of Unmanned Aerial Vehicles'' Fuel Cell Electric Propulsion Systems 189 Kirubadurai B., Jaganraj R., Jegadeeswari G. and Vinoth Thangarasu 12 AI-Powered Prediction of Centerline Total Pressure Variations in Coaxial Nozzles by Varying the Lip Thickness 211 R. Naren Shankar, Irish Angelin S., Bakiya Ambikapathy, K. Sathish Kumar and Parvathy Rajendran 13 Enhancing Jet Noise Reduction: AI-Powered Predictions of Core Length and Total Pressure Variations in Coaxial Nozzles 225 R. Naren Shankar, Irish Angelin S.


, Bakiya Ambikapathy, K. Sathish Kumar and Parvathy Rajendran 14 Application of Artificial Intelligence and Machine Learning in Composite Material Design 241 G. Gowtham, S. Nithya and J. V. Saiprasanna Kumar 15 Design Optimization Study of UAV Propeller Using Aeroacoustics 265 Prem Kumar P.S., Kirthika S.


, Kishore Kumar S. and Hariharasubramaniyan A. 16 Autonomous Mapping and AI-Based Navigation Using Deep Learning, SLAM, and Optical Flow for Micro Aerial Vehicle 277 B. Anbarasu, S. Seralathan and A. Muthuram Part 3: Performance And Efficiency Optimization 303 17 The Essential Phases in Aircraft Component Manufacturing Using Artificial Intelligence 305 Boopathy G., Rajamurugu N., Siva Prakasam P.


and Sai Prasanna Kumar J.V. 18 Artificial Intelligence in Failure Prediction of Aircraft Components and Inventory Leveraging 333 Vinu Ramadhas, Krishnadhas Subash and K. Vijayaraja 19 Performance Analysis and Optimization of Eppler-398 Unmanned Aerial Vehicle Using Machine Learning Techniques 349 R. Manikandan, A. Parthiban, T. Gopalakrishnan and Mandeep Singh 20 Navigation of Unconventional Drones -- Autonomous Ornithopter 391 Syam Narayanan S., P.


Rajalaksmi, Yogesh Gangurde, Akshith Mysa and Satyajit Movidi Conclusion 416 References 416 Index 419.


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