Zobrazeno 1 - 10
of 91
pro vyhledávání: '"Saeed Ranjbar"'
Autor:
Anna Kozlowska, Francesco Guarino, Rosaria Volpe, Adriano Bisello, Andrea Gabaldòn, Abolfazl Rezaei, Vicky Albert-Seifried, Beril Alpagut, Han Vandevyvere, Francesco Reda, Giovanni Tumminia, Saeed Ranjbar, Roberta Rincione, Salvatore Cellura, Ursula Eicker, Shokufeh Zamini, Sergio Diaz de Garayo Balsategui, Matthias Haase, Lorenza Di Pilla
Publikováno v:
Energies, Vol 17, Iss 17, p 4425 (2024)
The definition, characterization and implementation of Positive Energy Districts is crucial in the path towards urban decarbonization and energy transition. However, several issues still must be addressed: the need for a clear and comprehensive defin
Externí odkaz:
https://doaj.org/article/176a214ffe294b6fb8a3c6ab81543a93
Publikováno v:
Molecules, Vol 28, Iss 24, p 8127 (2023)
Hydrothermal liquefaction (HTL) represents a beacon of scientific innovation, which unlocks nature’s alchemical wonders while reshaping the waste-to-energy platform. This transformative technology offers sustainable solutions for converting a varie
Externí odkaz:
https://doaj.org/article/b71e633fc084484781abdc31c1a20921
Autor:
SAEED Ranjbar, Abbas Azarian
Publikováno v:
Iranian Journal of Physics Research, Vol 21, Iss 4, Pp 589-596 (2022)
In this paper, we investigate optical properties of silver ellipsoid nanostructures (SENs) by means of discrete dipole approximation (DDA), when these nanoparticles are embedded into the water. Absorption, scattering and extinction cross-sections of
Externí odkaz:
https://doaj.org/article/9d3f8bd9f15440e7b487ad923a811005
Publikováno v:
Frontiers in Signal Processing, Vol 2 (2022)
When it comes to image compression in digital cameras, denoising is traditionally performed prior to compression. However, there are applications where image noise may be necessary to demonstrate the trustworthiness of the image, such as court eviden
Externí odkaz:
https://doaj.org/article/f5d71dbea81d42909c06bfdb5ae58ead
With generative models producing high quality images that are indistinguishable from real ones, there is growing concern regarding the malicious usage of AI-generated images. Imperceptible image watermarking is one viable solution towards such concer
Externí odkaz:
http://arxiv.org/abs/2408.05868
Autor:
Alvar, Saeed Ranjbar, Bajić, Ivan V.
Deep models produce a number of features in each internal layer. A key problem in applications such as feature compression for remote inference is determining how important each feature is for the task(s) performed by the model. The problem is especi
Externí odkaz:
http://arxiv.org/abs/2405.09077
Curating high quality datasets that play a key role in the emergence of new AI applications requires considerable time, money, and computational resources. So, effective ownership protection of datasets is becoming critical. Recently, to protect the
Externí odkaz:
http://arxiv.org/abs/2403.05628
Autor:
Bahador Samadzadegan, Soroush Samareh Abolhassani, Sanam Dabirian, Saeed Ranjbar, Hadise Rasoulian, Azin Sanei, Ursula Eicker
Publikováno v:
Frontiers in Sustainable Cities, Vol 3 (2021)
The growing urban population globally leads to higher greenhouse gas (GHG) emissions and stress on the electricity networks for meeting the increasing demand. In the early urban design stages, the optimization of the urban morphology and building phy
Externí odkaz:
https://doaj.org/article/0f59dc4e74df4cf1a1d46cf199b82494
Publikováno v:
Data in Brief, Vol 34, Iss , Pp 106701- (2021)
We present an object labelled dataset called SFU-HW-Objects-v1, which contains object labels for a set of raw video sequences. The dataset can be useful for the cases where both object detection accuracy and video coding efficiency need to be evaluat
Externí odkaz:
https://doaj.org/article/d3af6a10cf5e43c192538e14b3daf75c
Publikováno v:
Molecules, Vol 27, Iss 5, p 1473 (2022)
Contamination of the biosphere by heavy metals has been rising, due to accelerated anthropogenic activities, and is nowadays, a matter of serious global concern. Removal of such inorganic pollutants from aquatic environments via biological processes
Externí odkaz:
https://doaj.org/article/158fccd0731a4fe7b3a0c2e971741975