Zobrazeno 1 - 10
of 48
pro vyhledávání: '"I. De Zarzà"'
Publikováno v:
Signals, Vol 5, Iss 2, Pp 181-201 (2024)
X-ray photoelectron spectroscopy (XPS) remains a fundamental technique in materials science, offering invaluable insights into the chemical states and electronic structure of a material. However, the interpretation of XPS spectra can be complex, requ
Externí odkaz:
https://doaj.org/article/09cfffe255174e8387e3bc7fd7ba8ce8
Publikováno v:
Future Internet, Vol 16, Iss 11, p 412 (2024)
This paper presents a novel approach to enhancing the security and reliability of drone communications through the integration of Quantum Random Number Generators (QRNG) in Frequency Hopping Spread Spectrum (FHSS) systems. We propose a multi-drone fr
Externí odkaz:
https://doaj.org/article/000234f829464db48e0842cb118a7bc1
Publikováno v:
AI, Vol 5, Iss 1, Pp 91-114 (2023)
In today’s complex economic environment, individuals and households alike grapple with the challenge of financial planning. This paper introduces novel methodologies for both individual and cooperative (household) financial budgeting. We firstly pr
Externí odkaz:
https://doaj.org/article/a2c8ac13fa8440b189bf6c0ec6ffee58
Autor:
J. de Curtò, I. de Zarzà
Publikováno v:
Mathematics, Vol 12, Iss 8, p 1217 (2024)
This paper presents a comprehensive study on the spectral properties of mimetic finite-difference operators and their application in the robust fluid–structure interaction (FSI) analysis of aircraft wings under uncertain operating conditions. By de
Externí odkaz:
https://doaj.org/article/dd22d38d09294ba9a11c4fbbe63bce5d
Autor:
J. De Curtò, I. De Zarzà
Publikováno v:
Mathematics, Vol 12, Iss 6, p 900 (2024)
The advent of space exploration missions, especially those aimed at establishing a sustainable presence on the Moon and beyond, necessitates the development of efficient propulsion and mission planning techniques. This study presents a comprehensive
Externí odkaz:
https://doaj.org/article/b6787eaca4994711a6090f912b9579dc
Publikováno v:
Mathematics, Vol 11, Iss 22, p 4627 (2023)
Truck platooning is a promising approach for reducing fuel consumption, improving road safety, and optimizing transport logistics. This paper presents a drone-based decentralized truck platooning system that leverages the advantages of Ultra-Wideband
Externí odkaz:
https://doaj.org/article/2fd07992f5b74c989e340af554599bb5
Publikováno v:
Sensors, Vol 23, Iss 22, p 9225 (2023)
With the rise in traffic congestion in urban centers, predicting accidents has become paramount for city planning and public safety. This work comprehensively studied the efficacy of modern deep learning (DL) methods in forecasting traffic accidents
Externí odkaz:
https://doaj.org/article/b7bc8b2aae044142a8f81ad55a64b58c
Publikováno v:
Intelligent Systems with Applications, Vol 16, Iss , Pp 200140- (2022)
This paper sets forth a methodology that is based on three-stage-training of a state-of-the-art network architecture previously trained on Imagenet, and iteratively finetuned in three steps; freezing first all layers, then re-training a specific numb
Externí odkaz:
https://doaj.org/article/5763f28917ff44bcbc8333a2232f2f54
Publikováno v:
Mathematics, Vol 11, Iss 18, p 3835 (2023)
This paper presents a comprehensive study of ultra-wideband (UWB) and multi-band orthogonal frequency-division multiplexing (MB-OFDM) technologies for lunar rover navigation and communication in challenging terrains. Lunar missions pose unique challe
Externí odkaz:
https://doaj.org/article/ef93063c1425426bb163cce4b9ac7045
Publikováno v:
Sensors, Vol 23, Iss 13, p 5899 (2023)
This paper presents an exploration into the capabilities of an adaptive PID controller within the realm of truck platooning operations, situating the inquiry within the context of Cognitive Radio and AI-enhanced 5G and Beyond 5G (B5G) networks. We de
Externí odkaz:
https://doaj.org/article/662ea437667a4bc4964da624cbc1a554