Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Hatem Ibrahem"'
Publikováno v:
IEEE Access, Vol 12, Pp 121624-121634 (2024)
Dense multi-view image reconstruction has been a focal point of research for an extended period, with recent surges in interest. The utilization of multi-view images offers solutions to numerous challenges and amplifies the effectiveness of various a
Externí odkaz:
https://doaj.org/article/de15c3d34c3c4912904e729cc1affc2f
Publikováno v:
IEEE Access, Vol 11, Pp 119362-119372 (2023)
In this paper, we propose novel convolutional encoder-decoder architectures for real-time semantic segmentation based on an image-to-image translation approach via the space-to-depth and depth-to-space modules. We present architectures that compress
Externí odkaz:
https://doaj.org/article/c09b2c0373214418b431348b545a13b1
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 13425-13437 (2022)
This paper presents two systematic machine learning (ML) approaches for predicting the hydrogen production rate and cell current density for proton exchange membrane electrolyzer cells (PEMEC) as a function of different design parameters. Management
Externí odkaz:
https://doaj.org/article/c469a6dbff8d4d5c8ed669c5d70960f6
Publikováno v:
IEEE Access, Vol 9, Pp 38742-38756 (2021)
We propose a high-speed convolutional neural network approach for weakly supervised localization (WSL) and weakly supervised object detection (WSOD). The proposed method, called center-of-features localization (COFL), performs localization of objects
Externí odkaz:
https://doaj.org/article/81c3e584fb21432697ba9dc72a7ea9f5
Publikováno v:
IEEE Access, Vol 8, Pp 72287-72297 (2020)
Compared to conventional photography which allows capturing spatial intensity only, light field imaging can capture angular and spatial information by collecting information from all directions. This massive information could be used in many applicat
Externí odkaz:
https://doaj.org/article/f703833250aa46dbb3170d7d99403cf9
Publikováno v:
Sensors, Vol 23, Iss 4, p 2018 (2023)
Due to its widespread usage in many applications, numerous deep learning algorithms have been proposed to overcome Light Field’s trade-off (LF). The sensor’s low resolution limits angular and spatial resolution, which causes this trade-off. The p
Externí odkaz:
https://doaj.org/article/9fdec854f93e40958a4cbf56de79c39a
Publikováno v:
Sensors, Vol 22, Iss 21, p 8306 (2022)
In this paper, we revisit the paired image-to-image translation using the conditional generative adversarial network, the so-called “Pix2Pix”, and propose efficient optimization techniques for the architecture and the training method to maximize
Externí odkaz:
https://doaj.org/article/bcaf7f2ded614fa597fbcf99039d0850
Publikováno v:
Energies, Vol 15, Iss 18, p 6657 (2022)
We propose efficient multiple machine learning (ML) models using specifically polynomial and logistic regression ML methods to predict the optimal design of proton exchange membrane (PEM) electrolyzer cells. The models predict eleven different parame
Externí odkaz:
https://doaj.org/article/68417e08a0644d5bba5366a8d35003ba
Publikováno v:
Sensors, Vol 22, Iss 14, p 5254 (2022)
Dense multi-view image reconstruction has played an active role in research for a long time and interest has recently increased. Multi-view images can solve many problems and enhance the efficiency of many applications. This paper presents a more spe
Externí odkaz:
https://doaj.org/article/db093c327d764fc9b93cb262c861f551
Publikováno v:
Sensors, Vol 22, Iss 9, p 3540 (2022)
Light field (LF) technology has become a focus of great interest (due to its use in many applications), especially since the introduction of the consumer LF camera, which facilitated the acquisition of dense LF images. Obtaining densely sampled LF im
Externí odkaz:
https://doaj.org/article/dbfffe1b303e446ca1ce88f469d3fb9e