Classifications, applications, and design challenges of drones: A review

TL;DR: A review of drone delivery systems and energy management explores the potential of drones for delivery and monitoring purposes, highlighting their impact on logistics, retail, and government agencies. The chapter emphasizes the need for energy management systems to optimize drone performance and endurance, exploring various power supply systems and modeling techniques.

TL;DR: Anti-Drone Audio Surveillance Sentinel (ADASS) is proposed, the first noise-based drone detection solution that can be implemented in IoT devices and the detection accuracy of ADASS is the same as obtained with a full non-compressed model.

TL;DR: This work builds a counterexample-guided iterative procedure to efficiently learn from an unschedulable solution and rule out many similar ones, and may be ten times faster while providing solutions with the same quality than the state-of-the-art.

TL;DR: In this paper, the Discrete Kalman Filter (DFL) is used for smoothing and prediction linearization in the Global Positioning System (GPS) and a case study is presented.

TL;DR: In this paper, the authors show that the enhanced aerodynamic performance of insects results from an interaction of three distinct yet interactive mechanisms: delayed stall, rotational circulation, and wake capture.

TL;DR: A comprehensive theory incorporating both translational and rotational mechanisms may explain the diverse patterns of wing motion displayed by different species of insects.

TL;DR: Bat wing morphology is considered in relation to flight performance and flight behaviour to clarify the functional basis for eco-morphological correlations in flying animals, and adaptive trends in wing adaptations are predictably and closely paralleled by echolocation call structure.