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: 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 ...
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