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pro vyhledávání: '"Ghita AN"'
Publikováno v:
IEEE Transactions on Dependable and Secure Computing ( Volume: 20, Issue: 2, 01 March-April 2023)
Data breaches have begun to take on new dimensions and their prediction is becoming of great importance to organizations. Prior work has addressed this issue mainly from a technical perspective and neglected other interfering aspects such as the soci
Externí odkaz:
http://arxiv.org/abs/2411.12435
Autor:
Kuzminykh, Ievgeniia, Nawaz, Tareita, Shenzhang, Shihao, Ghita, Bogdan, Raphael, Jeffery, Xiao, Hannan
AI tools, particularly large language modules, have recently proven their effectiveness within learning management systems and online education programmes. As feedback continues to play a crucial role in learning and assessment in schools, educators
Externí odkaz:
http://arxiv.org/abs/2410.11904
Autor:
Amaya-Mejía, Lina María, Ghita, Mohamed, Dentler, Jan, Olivares-Mendez, Miguel, Martinez, Carol
On-orbit servicing (OOS) activities will power the next big step for sustainable exploration and commercialization of space. Developing robotic capabilities for autonomous OOS operations is a priority for the space industry. Visual Servoing (VS) enab
Externí odkaz:
http://arxiv.org/abs/2409.02324
Autor:
Mohamed, Sondos, Zimmer, Walter, Greer, Ross, Ghita, Ahmed Alaaeldin, Castrillón-Santana, Modesto, Trivedi, Mohan, Knoll, Alois, Carta, Salvatore Mario, Marras, Mirko
Accurately detecting 3D objects from monocular images in dynamic roadside scenarios remains a challenging problem due to varying camera perspectives and unpredictable scene conditions. This paper introduces a two-stage training strategy to address th
Externí odkaz:
http://arxiv.org/abs/2408.15637
Identity Access Management (IAM) is an area posing significant challenges, particularly in the context of remote connectivity and distributed or cloud-based systems. A wide range of technical solutions have been proposed by prior research, but the in
Externí odkaz:
http://arxiv.org/abs/2408.10634
Autor:
Pipitone, Nicholas, Alami, Ghita Houir
Retrieval-Augmented Generation (RAG) systems are showing promising potential, and are becoming increasingly relevant in AI-powered legal applications. Existing benchmarks, such as LegalBench, assess the generative capabilities of Large Language Model
Externí odkaz:
http://arxiv.org/abs/2408.10343
Introduction: Artificial intelligence (AI) is exhibiting tremendous potential to reduce the massive costs and long timescales of drug discovery. There are however important challenges currently limiting the impact and scope of AI models. Areas covere
Externí odkaz:
http://arxiv.org/abs/2407.05150
Autor:
Evrard, B., Adlong, H. S., Ghita, A. A., Uto, T., Ciorciaro, L., Watanabe, K., Taniguchi, T., Kroner, M., İmamoğlu, A.
We use time-resolved nonlinear pump--probe measurements to reveal features of semiconductor moir\'e materials not accessible to linear spectroscopy. With an intense, red-detuned pump pulse, we generate a high density of virtual excitons or exciton--p
Externí odkaz:
http://arxiv.org/abs/2402.16630
The modern digital world is highly heterogeneous, encompassing a wide variety of communications, devices, and services. This interconnectedness generates, synchronises, stores, and presents digital information in multidimensional, complex formats, of
Externí odkaz:
http://arxiv.org/abs/2402.13746
Autor:
Ghita, Ahmed, Antoniussen, Bjørk, Zimmer, Walter, Greer, Ross, Creß, Christian, Møgelmose, Andreas, Trivedi, Mohan M., Knoll, Alois C.
The curation of large-scale datasets is still costly and requires much time and resources. Data is often manually labeled, and the challenge of creating high-quality datasets remains. In this work, we fill the research gap using active learning for m
Externí odkaz:
http://arxiv.org/abs/2402.03235