Zobrazeno 1 - 10
of 2 837
pro vyhledávání: '"Missaoui, A"'
In this work, we introduce two novel classes of quasilinear elliptic equations, each driven by the double phase operator with variable exponents. The first class features a new double phase equation where exponents depend on the gradient of the solut
Externí odkaz:
http://arxiv.org/abs/2409.16662
In this paper, we investigate the deterministic multidimensional Skorokhod problem with normal reflection in a family of time-dependent convex domains that are c\`adl\`ag with respect to the Hausdorff metric. We then show the existence and uniqueness
Externí odkaz:
http://arxiv.org/abs/2406.05807
Autor:
Taoufik, Safouane, Missaoui, Badr
The Method of Successive Approximations (MSA) is a fixed-point iterative method used to solve stochastic optimal control problems. It is an indirect method based on the conditions derived from the Stochastic Maximum Principle (SMP), an extension of t
Externí odkaz:
http://arxiv.org/abs/2405.07048
Autor:
Zoubir, Abdeljalil, Missaoui, Badr
In this paper, we present two novel methods in Network Intrusion Detection Systems (NIDS) using Graph Neural Networks (GNNs). The first approach, Scattering Transform with E-GraphSAGE (STEG), utilizes the scattering transform to conduct multi-resolut
Externí odkaz:
http://arxiv.org/abs/2404.10800
Despite their unprecedented success, DNNs are notoriously fragile to small shifts in data distribution, demanding effective testing techniques that can assess their dependability. Despite recent advances in DNN testing, there is a lack of systematic
Externí odkaz:
http://arxiv.org/abs/2403.16768
Autor:
Chen, Gerry, Narayanan, Sunil Kumar, Ottou, Thomas Gautier, Missaoui, Benjamin, Muriki, Harsh, Pradalier, Cédric, Chen, Yongsheng
Hyperspectral Imagery (HSI) has been used in many applications to non-destructively determine the material and/or chemical compositions of samples. There is growing interest in creating 3D hyperspectral reconstructions, which could provide both spati
Externí odkaz:
http://arxiv.org/abs/2403.14839
Publikováno v:
35th IEEE Intelligent Vehicles Symposium (IV 2023), Jun 2023, Anchorage, AK, United States
For autonomous navigation, high definition maps are a widely used source of information. Pole-like features encoded in HD maps such as traffic signs, traffic lights or street lights can be used as landmarks for localization. For this purpose, they fi
Externí odkaz:
http://arxiv.org/abs/2403.01868
In this paper, we introduce a new method for querying triadic concepts through partial or complete matching of triples using an inverted index, to retrieve already computed triadic concepts that contain a set of terms in their extent, intent, and/or
Externí odkaz:
http://arxiv.org/abs/2401.10271
In knowledge discovery applications, the pattern set generated from data can be tremendously large and hard to explore by analysts. In the Formal Concept Analysis (FCA) framework, there have been studies to identify important formal concepts through
Externí odkaz:
http://arxiv.org/abs/2312.14421
Autor:
Missaoui, Benjamin, Yuan, Chongbin
In Computer Vision, self-supervised contrastive learning enforces similar representations between different views of the same image. The pre-training is most often performed on image classification datasets, like ImageNet, where images mainly contain
Externí odkaz:
http://arxiv.org/abs/2310.14736