Abstract: The trajectory planning of multiple unmanned aerial vehicles (UAVs) is the core of efficient UAV mission execution. Existing studies have mainly transformed this problem into a ...

Abstract: This paper describes a byte-oriented binary transmission code and its implementation. This code is particularly well suited for high-speed local area networks and similar data links, where ...

Abstract: Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex ...

Abstract: Modern day cellular mobile networks use Massive MIMO technology to extend range and service multiple devices within a cell. This has brought tremendous improvements in the high peak data ...

Abstract: This paper presents the first discrete-time distributed algorithm to track the tightest ellipsoids that outer approximates the global dynamic intersection of ellipsoids. Given an undirected ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=9944983 ...

Abstract: Presents corrections to the paper, (Corrections to “A Semi-Supervised Learning Approach to Quality-Based Web Service Classification”).

Abstract: In Artificial Intelligence, there is an increasing demand for adaptive models capable of dealing with a diverse spectrum of learning tasks, surpassing the limitations of systems devised to ...

Abstract: Microgrids require efficient control schemes to achieve high penetration of power converters. Modelbased control is widely used in converters due to its ease, but it poses challenges when ...

Abstract: Nivedita Arora: Collecting real-time, granular environmental data is essential for urban health, agriculture, and disaster prevention. However, it must be done sustainably, with minimal ...

Abstract: This paper explores the potential of employing rate-splitting multiple access to enhance the achievable rate and energy efficiency (EE) of an uplink cell-free massive multiple-input multiple ...

Abstract: Utilizing the unbiasedness criterion, this article proposes a bias-compensated normalized Euclidean direction search (BC-NEDS) algorithm with noisy inputs, which can effectively mitigate the ...