Zobrazeno 1 - 10
of 515
pro vyhledávání: '"Palade, Vasile"'
This paper addresses the issues of controlling and analyzing the population diversity in quantum-behaved particle swarm optimization (QPSO), which is an optimization approach motivated by concepts in quantum mechanics and PSO. In order to gain an in-
Externí odkaz:
http://arxiv.org/abs/2308.04840
Autor:
Onyekpe, Uche, Szkolnik, Alicja, Palade, Vasile, Kanarachos, Stratis, Fitzpatrick, Michael E.
This paper proposes a transfer learning approach to recalibrate our previously developed Wheel Odometry Neural Network (WhONet) for vehicle positioning in environments where Global Navigation Satellite Systems (GNSS) are unavailable. The WhONet has b
Externí odkaz:
http://arxiv.org/abs/2209.05877
Autor:
Tang, Xuejiao, Quy, Tai Le, Ntoutsi, Eirini, Turner, Kea, Palade, Vasile, Haque, Israat, Xu, Peng, Brown, Chris, Zhang, Wenbin
Given a question-image input, the Visual Commonsense Reasoning (VCR) model can predict an answer with the corresponding rationale, which requires inference ability from the real world. The VCR task, which calls for exploiting the multi-source informa
Externí odkaz:
http://arxiv.org/abs/2204.08027
The fusion of visible light and infrared images has garnered significant attention in the field of imaging due to its pivotal role in various applications, including surveillance, remote sensing, and medical imaging. Therefore, this paper introduces
Externí odkaz:
http://arxiv.org/abs/2112.14540
Autor:
Sardari, Sara, Sharifzadeh, Sara, Daneshkhah, Alireza, Loke, Seng W., Palade, Vasile, Duncan, Michael J., Nakisa, Bahareh
Publikováno v:
In Computers in Biology and Medicine May 2024 173
Publikováno v:
In Neural Networks April 2024 172
Publikováno v:
In Applied Soft Computing February 2024 152
Autor:
Onyekpe, Uche, Palade, Vasile, Herath, Anuradha, Kanarachos, Stratis, Fitzpatrick, Michael E.
Publikováno v:
Engineering Applications of Artificial Intelligence, 2021
In this paper, a deep learning approach is proposed to accurately position wheeled vehicles in Global Navigation Satellite Systems (GNSS) deprived environments. In the absence of GNSS signals, information on the speed of the wheels of a vehicle (or o
Externí odkaz:
http://arxiv.org/abs/2104.02581