Zobrazeno 1 - 10
of 84 821
pro vyhledávání: '"Yahya AN"'
Autor:
Rachmawan Atmaji Perdana, M. Nurkhoiri Hindratno, Tanzi M. Santoso, Topan Try Harmanda, Friyogi Resvy Mahda, Yahya Andreas Lapian, Monica Dwi W. S., Dionysius Aldion Renata, Prasetyo Aji, Meidy Layooari, Kusnanda Supriatna, Rully Kusumajaya, Mohammad Hamdani
Publikováno v:
Jurnal Teknologi Informasi dan Ilmu Komputer, Vol 10, Iss 6 (2023)
Makalah ini membahas tentang pengembangan aplikasi mobile untuk pengisian daya kendaraan listrik, yang diberi nama SONIKApp. SONIKApp digunakan untuk melakukan reservasi dan pengendalian pengisian daya secara remote. Fitur reservasi diperlukan mengin
Externí odkaz:
https://doaj.org/article/3ac651f849954886b7d51e3c909392a8
Autor:
Maboudi, Mehdi, Backhaus, Jan, Ghassoun, Yahya, Khedar, Yogesh, Lowke, Dirk, Mai, Inka, Riedel, Bjoern, Bestmann, Ulf, Gerke, Markus
Accurate and efficient structural health monitoring of infrastructure objects such as bridges is a vital task, as many existing constructions have already reached or are approaching their planned service life. In this contribution, we address the que
Externí odkaz:
http://arxiv.org/abs/2410.18984
We consider the problem of learning a realization of a partially observed dynamical system with linear state transitions and bilinear observations. Under very mild assumptions on the process and measurement noises, we provide a finite time analysis f
Externí odkaz:
http://arxiv.org/abs/2409.16499
We establish empirical risk minimization principles for active learning by deriving a family of upper bounds on the generalization error. Aligning with empirical observations, the bounds suggest that superior query algorithms can be obtained by combi
Externí odkaz:
http://arxiv.org/abs/2409.09078
Modern CAPTCHAs rely heavily on vision tasks that are supposedly hard for computers but easy for humans. However, advances in image recognition models pose a significant threat to such CAPTCHAs. These models can easily be fooled by generating some we
Externí odkaz:
http://arxiv.org/abs/2409.05558
Autor:
Yakubu, Mubarak, Zweiri, Yahya, Abubakar, Ahmad, Azzam, Rana, Alhammadi, Ruqayya, Seneviratne, Lakmal
Autonomous space rovers face significant challenges when navigating deformable and heterogeneous terrains due to variability in soil properties, which can lead to severe wheel slip, compromising navigation efficiency and increasing the risk of entrap
Externí odkaz:
http://arxiv.org/abs/2409.02273
Multimodal aspect-based sentiment analysis (MABSA) enhances sentiment detection by combining text with other data types like images. However, despite setting significant benchmarks, attention mechanisms exhibit limitations in efficiently modelling lo
Externí odkaz:
http://arxiv.org/abs/2408.15379
Recent advances in deep learning have completely transformed the domain of computational pathology (CPath). More specifically, it has altered the diagnostic workflow of pathologists by integrating foundation models (FMs) and vision-language models (V
Externí odkaz:
http://arxiv.org/abs/2408.14496
Non-orthogonal multiple access (NOMA) is a promising technique for ultra-reliable low-latency communication as it provides higher spectral efficiency and lower latency. In this work, we propose novel many-to-many (M2M) NOMA-based schemes to exchange
Externí odkaz:
http://arxiv.org/abs/2408.11509
Beyond diagonal reconfigurable intelligent surfaces (BD-RIS) generalizes and goes beyond conventional diagonal reconfigurable intelligent surfaces (D-RIS) by interconnecting elements to generate beyond diagonal scattering matrices, which significantl
Externí odkaz:
http://arxiv.org/abs/2408.09887