Zobrazeno 1 - 10
of 11 475
pro vyhledávání: '"Amrani BE"'
We introduce XTRA, a vision model pre-trained with a novel auto-regressive objective that significantly enhances both sample and parameter efficiency compared to previous auto-regressive image models. Unlike contrastive or masked image modeling metho
Externí odkaz:
http://arxiv.org/abs/2411.15648
Autor:
Jadouli, Ayoub, Amrani, Chaker El
Wildfires pose significant threats to ecosystems, economies, and communities worldwide, necessitating advanced predictive methods for effective mitigation. This study introduces a novel and comprehensive dataset specifically designed for wildfire pre
Externí odkaz:
http://arxiv.org/abs/2411.06202
Autor:
Jadouli, Ayoub, Amrani, Chaker El
Traditional Feed-Forward Neural Networks (FFNN) and one-dimensional Convolutional Neural Networks (1D CNN) often encounter difficulties when dealing with long, columnar datasets that contain numerous features. The challenge arises from two primary fa
Externí odkaz:
http://arxiv.org/abs/2411.06020
Autor:
Ehm, Viktoria, Amrani, Nafie El, Xie, Yizheng, Bastian, Lennart, Gao, Maolin, Wang, Weikang, Sang, Lu, Cao, Dongliang, Lähner, Zorah, Cremers, Daniel, Bernard, Florian
Finding correspondences between 3D shapes is an important and long-standing problem in computer vision, graphics and beyond. While approaches based on machine learning dominate modern 3D shape matching, almost all existing (learning-based) methods re
Externí odkaz:
http://arxiv.org/abs/2411.03511
Autor:
Jadouli, Ayoub, Amrani, Chaker El
This paper presents a novel approach in wildfire prediction through the integration of multisource spatiotemporal data, including satellite data, and the application of deep learning techniques. Specifically, we utilize an ensemble model built on tra
Externí odkaz:
http://arxiv.org/abs/2407.15878
The COTS-Capsule Spaceborne hodoscope was launched into low earth orbit aboard the International Space Station and operated during 2021-2022. The primary objectives of the payload are: measuring and characterizing the radiation environment within the
Externí odkaz:
http://arxiv.org/abs/2406.19656
An innovative particle detector that offers a compelling combination of cost-effectiveness and high accuracy is introduced. The detector features plastic scintillators paired with a sparse arrangement of SiPMs, strategically positioned within a uniqu
Externí odkaz:
http://arxiv.org/abs/2406.19652
Autor:
Naparstek, Oshri, Pony, Roi, Shapira, Inbar, Dahood, Foad Abo, Azulai, Ophir, Yaroker, Yevgeny, Rubinstein, Nadav, Lysak, Maksym, Staar, Peter, Nassar, Ahmed, Livathinos, Nikolaos, Auer, Christoph, Amrani, Elad, Friedman, Idan, Prince, Orit, Burshtein, Yevgeny, Goldfarb, Adi Raz, Barzelay, Udi
In recent years, the challenge of extracting information from business documents has emerged as a critical task, finding applications across numerous domains. This effort has attracted substantial interest from both industry and academy, highlighting
Externí odkaz:
http://arxiv.org/abs/2405.00505
Autor:
Youssef, Ayah, Noura, Hassan, Amrani, Abderrahim El, Adel, El Mostafa El, Ouladsine, Mustapha
Publikováno v:
12th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, International Federation of Automatic Control (IFAC), Jun 2024, Farrera, Italy
Fault diagnosis in marine diesel engines is vital for maritime safety and operational efficiency.These engines are integral to marine vessels, and their reliable performance is crucial for safenavigation. Swift identification and resolution of faults
Externí odkaz:
http://arxiv.org/abs/2404.10363
Although 3D shape matching and interpolation are highly interrelated, they are often studied separately and applied sequentially to relate different 3D shapes, thus resulting in sub-optimal performance. In this work we present a unified framework to
Externí odkaz:
http://arxiv.org/abs/2402.18920