Zobrazeno 1 - 10
of 5 552
pro vyhledávání: '"Awal , A"'
With the recent advancements in machine learning (ML), numerous ML-based approaches have been extensively applied in software analytics tasks to streamline software development and maintenance processes. Nevertheless, studies indicate that despite th
Externí odkaz:
http://arxiv.org/abs/2408.04124
Fine-grained understanding of objects, attributes, and relationships between objects is crucial for visual-language models (VLMs). Existing benchmarks primarily focus on evaluating VLMs' capability to distinguish between two very similar \textit{capt
Externí odkaz:
http://arxiv.org/abs/2407.16772
Autor:
Islam, Sheikh Mohammed Shariful, Abrar, Moloud, Tegegne, Teketo, Loranjo, Liliana, Karmakar, Chandan, Awal, Md Abdul, Hossain, Md. Shahadat, Kabir, Muhammad Ashad, Mahmud, Mufti, Khosravi, Abbas, Siopis, George, Moses, Jeban C, Maddison, Ralph
Machine learning models have the potential to identify cardiovascular diseases (CVDs) early and accurately in primary healthcare settings, which is crucial for delivering timely treatment and management. Although population-based CVD risk models have
Externí odkaz:
http://arxiv.org/abs/2407.16721
Autor:
Awal, Md Abdul, Roy, Chanchal K.
The advancement of machine learning (ML) models has led to the development of ML-based approaches to improve numerous software engineering tasks in software maintenance and evolution. Nevertheless, research indicates that despite their potential succ
Externí odkaz:
http://arxiv.org/abs/2407.13902
Autor:
Nayak, Shravan, Jain, Kanishk, Awal, Rabiul, Reddy, Siva, van Steenkiste, Sjoerd, Hendricks, Lisa Anne, Stańczak, Karolina, Agrawal, Aishwarya
Foundation models and vision-language pre-training have notably advanced Vision Language Models (VLMs), enabling multimodal processing of visual and linguistic data. However, their performance has been typically assessed on general scene understandin
Externí odkaz:
http://arxiv.org/abs/2407.10920
Optimizing the injection process in particle accelerators is crucial for enhancing beam quality and operational efficiency. This paper presents a framework for utilizing Reinforcement Learning (RL) to optimize the injection process at accelerator fac
Externí odkaz:
http://arxiv.org/abs/2406.12735
In recent times, impedance side-channel analysis has emerged as a potent strategy for adversaries seeking to extract sensitive information from computing systems. It leverages variations in the intrinsic impedance of a chip's internal structure acros
Externí odkaz:
http://arxiv.org/abs/2405.06242
We propose a method to remotely verify the authenticity of Optically Variable Devices (OVDs), often referred to as ``holograms'', in identity documents. Our method processes video clips captured with smartphones under common lighting conditions, and
Externí odkaz:
http://arxiv.org/abs/2404.17253
Autor:
Awal, Mozib Bin, Phukon, Prabwal
We study the Restricted Phase Space Thermodynamics (RPST) of magnetically charged Anti de Sitter (AdS) black holes sourced by nonlinear electrodynamics(NED). The first law and the corresponding Euler relation are examined using the scaling properties
Externí odkaz:
http://arxiv.org/abs/2404.03261
Autor:
Boned, Carlos, Talarmain, Maxime, Ghanmi, Nabil, Chiron, Guillaume, Biswas, Sanket, Awal, Ahmad Montaser, Terrades, Oriol Ramos
This paper presents a new synthetic dataset of ID and travel documents, called SIDTD. The SIDTD dataset is created to help training and evaluating forged ID documents detection systems. Such a dataset has become a necessity as ID documents contain pe
Externí odkaz:
http://arxiv.org/abs/2401.01858