IEEE

A Survey on Detection, Classification, and Tracking of AAVs Using Radar and Communications Systems

Abstract: The use of autonomous aerial vehicles (AAVs) for a variety of commercial, civilian, and defense applications has increased many folds in recent years. While AAVs are expected to transform ...
IEEE

Regional Multi-Agent Cooperative Reinforcement Learning for City-Level Traffic Grid Signal Control

Abstract: This article studies the effective traffic signal control problem of multiple intersections in a city-level traffic system. A novel regional multi-agent cooperative reinforcement learning ...
IEEE

Adaptive Fuzzy Sliding-Mode Fixed-Time Control for Quadrotor Unmanned Aerial Vehicles With Prescribed Performance

Abstract: In this article, an adaptive fuzzy fixed-time sliding-mode formation control scheme with prescribed performance is proposed for quadrotor unmanned aerial vehicles (UAVs) under uncertainties ...
IEEE

25% - Efficiency flexible perovskite solar cells via controllable growth of SnO

Abstract: High power conversion efficiency (PCE) flexible perovskite solar cells (FPSCs) are highly desired power sources for aerospace crafts and flexible electronics. However, their PCEs still lag ...
IEEE

C2F-SemiCD: A Coarse-to-Fine Semi-Supervised Change Detection Method Based on Consistency Regularization in High-Resolution Remote Sensing Images

Abstract: A high-precision feature extraction model is crucial for change detection (CD). In the past, many deep learning-based supervised CD methods learned to recognize change feature patterns from ...
IEEE

An Efficient and Accurate A-Star Algorithm for Autonomous Vehicle Path Planning

Abstract: Efficient and accurate path planning algorithm of unmanned vehicles for unstructured road is of great significant for field disaster relief. An improved A–star algorithm for unmanned vehicle ...
IEEE

Remote Sensing Object Detection Meets Deep Learning: A metareview of challenges and advances

Abstract: Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received long-standing attention. In recent years, deep learning ...
IEEE

A New Hyperchaotic Map Based on Discrete Memristor and Meminductor: Dynamics Analysis, Encryption Application, and DSP Implementation

Abstract: At present, discrete memristor is a focus of chaotic mapping. However, the study of discrete memcapacitor and discrete meminductor has not begun. In order to study the dynamics of discrete ...
IEEE

Energy Aware Impedance Control of a Flying End-Effector in the Port-Hamiltonian Framework

Abstract: This work addresses the interaction control problem of a fully actuated aerial vehicle considered as a flying end-effector. We tackle the problem using geometrically consistent ...
IEEE

IoT-Equipped and AI-Enabled Next Generation Smart Agriculture: A Critical Review, Current Challenges and Future Trends

Abstract: Smart agriculture techniques have recently seen widespread interest by farmers. This is driven by several factors, which include the widespread availability of economically-priced, ...
IEEE

Distributed Robust Model Predictive Control-Based Energy Management Strategy for Islanded Multi-Microgrids Considering Uncertainty

Abstract: A microgrid is considered to be a smart power system that can integrate local renewable energy effectively. However, the intermittent nature of renewable energy causes operating pressure and ...
IEEE

A Review of Population-Based Metaheuristics for Large-Scale Black-Box Global Optimization—Part I

Abstract: Scalability of optimization algorithms is a major challenge in coping with the ever-growing size of optimization problems in a wide range of application areas from high-dimensional machine ...