Fighting over the beaches of Dunkirk and in the Battle of Britain, guarding the night skies during the perilous months of the Blitz, pioneering electronic countermeasures, and serving air-sea rescue roles all around our coasts, the Boulton Paul Defiant played a vital part through most of the Second World War, finishing it in the important target-tug role. The Defiant is rightly considered Wolverhampton's highest profile contribution to the war, and the most important product of Boulton Paul Aircraft. This book celebrates the contribution of the Defiant to the war in over 200 illustrations, most from Boulton Paul's own archives, and many never published before. It exposes some of the false myths attached to an aircraft held in great affection by many of its crews.

Unmanned aerial vehicles (UAVs) and artificial intelligence (AI) are gaining the attention of academic and industrial researchers due to the freedoms that UAVs afford when operating and monitoring activities remotely. Applying machine learning and deep learning techniques can result in fast and reliable outputs and have helped in real-time monitoring, data collection and processing, and prediction. UAVs utilizing these techniques can become instrumental tools for computer/wireless networks, smart cities, military applications, agricultural sectors, and mining. Unmanned Aerial Vehicles and Multidisciplinary Applications Using AI Techniques is an essential reference source that covers pattern recognition, machine and deep learning-based methods, and other AI techniques and the impact they have when applied to different real-time applications of UAVs. It synthesizes the scope and importance of machine learning and deep learning models in enhancing UAV capabilities, solutions to problems, and numerous application areas. Covering topics such as vehicular surveillance systems, yield prediction, and human activity recognition, this premier reference source is a comprehensive resource for computer scientists; AI engineers; data scientists; agriculturalists; government officials; military leaders; business managers and leaders; students and faculty of higher education; academic libraries; academicians; and researchers in computer science, computer vision, pattern recognition, imaging, and engineering.