Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Belbachir, Ahmed Nabil"'
Building segmentation is essential in infrastructure development, population management, and geological observations. This article targets shallow models due to their interpretable nature to assess the presence of LiDAR data for supervised segmentati
Externí odkaz:
http://arxiv.org/abs/2309.12027
Autor:
Marcu, Alina, Pirvu, Mihai, Costea, Dragos, Haller, Emanuela, Slusanschi, Emil, Belbachir, Ahmed Nabil, Sukthankar, Rahul, Leordeanu, Marius
We present a method for learning multiple scene representations given a small labeled set, by exploiting the relationships between such representations in the form of a multi-task hypergraph. We also show how we can use the hypergraph to improve a po
Externí odkaz:
http://arxiv.org/abs/2308.07615
Autor:
Mesgaribarzi Niusha, Djenouri Youcef, Belbachir Ahmed Nabil, Michalak Tomasz, Srivastava Gautam
Publikováno v:
Nanotechnology Reviews, Vol 13, Iss 1, Pp 992-8 (2024)
Combining deep learning (DL) with nanotechnology holds promise for transforming key facets of nanoscience and technology. This synergy could pave the way for groundbreaking advancements in the creation of novel materials, devices, and applications, u
Externí odkaz:
https://doaj.org/article/b22aee55d8eb4e958a40abdc43907172
We propose an augmentation policy for Contrastive Self-Supervised Learning (SSL) in the form of an already established Salient Image Segmentation technique entitled Global Contrast based Salient Region Detection. This detection technique, which had b
Externí odkaz:
http://arxiv.org/abs/2210.16776
Computing systems are omnipresent; their sustainability has become crucial for our society. A key aspect of this sustainability is the ability of computing systems to cope with the continuous change they face, ranging from dynamic operating condition
Externí odkaz:
http://arxiv.org/abs/2204.06825
Computing systems form the backbone of many aspects of our life, hence they are becoming as vital as water, electricity, and road infrastructures for our society. Yet, engineering long running computing systems that achieve their goals in ever-changi
Externí odkaz:
http://arxiv.org/abs/2108.08802
Autor:
Djenouri, Youcef, Belbachir, Ahmed Nabil, Michalak, Tomasz, Belhadi, Asma, Srivastava, Gautam
Publikováno v:
In Engineering Applications of Artificial Intelligence July 2024 133 Part D
Publikováno v:
In Information Fusion January 2024 101
Akademický článek
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Publikováno v:
Remote Sensing; Oct2024, Vol. 16 Issue 19, p3603, 18p