Zobrazeno 1 - 10
of 7 985
pro vyhledávání: '"Janjua, A."'
One key challenge to video restoration is to model the transition dynamics of video frames governed by motion. In this work, we propose TURTLE to learn the truncated causal history model for efficient and high-performing video restoration. Unlike tra
Externí odkaz:
http://arxiv.org/abs/2410.03936
This study proposes an orthogonal frequency division multiplexing (OFDM) based scheme to achieve interference-free backscatter communications (BC) in a symbiotic radio system. In specific, we propose three frequency shift keying (FSK) based backscatt
Externí odkaz:
http://arxiv.org/abs/2408.09192
Autor:
Mohsin, Ahmad, Janicke, Helge, Wood, Adrian, Sarker, Iqbal H., Maglaras, Leandros, Janjua, Naeem
Large Language Models (LLMs) such as ChatGPT and GitHub Copilot have revolutionized automated code generation in software engineering. However, as these models are increasingly utilized for software development, concerns have arisen regarding the sec
Externí odkaz:
http://arxiv.org/abs/2406.12513
Autor:
Ghasemabadi, Amirhosein, Janjua, Muhammad Kamran, Salameh, Mohammad, Zhou, Chunhua, Sun, Fengyu, Niu, Di
Image restoration tasks traditionally rely on convolutional neural networks. However, given the local nature of the convolutional operator, they struggle to capture global information. The promise of attention mechanisms in Transformers is to circumv
Externí odkaz:
http://arxiv.org/abs/2401.15235
Autor:
Janjua, Muhammad Kamran, Shah, Haseeb, White, Martha, Miahi, Erfan, Machado, Marlos C., White, Adam
Publikováno v:
Machine Learning (2023): 1-31
In this paper we investigate the use of reinforcement-learning based prediction approaches for a real drinking-water treatment plant. Developing such a prediction system is a critical step on the path to optimizing and automating water treatment. Bef
Externí odkaz:
http://arxiv.org/abs/2312.01624
Autor:
Tyler Kade Williamson, Oluwatobi O Onafowokan, Ankita Das, Jamshaid Mahmood Mir, Oscar Krol, Peter Tretiakov, Rachel Joujon-Roche, Bailey Imbo, Salman Ahmad, Stephane Owusu-Sarpong, Jordan Lebovic, Shaleen Vira, Andrew J Schoenfeld, Muhammad Burhan Janjua, Bassel Diebo, Renaud Lafage, Virginie Lafage, Peter Gust Passias
Publikováno v:
Asian Spine Journal, Vol 18, Iss 5, Pp 673-680 (2024)
Study Design Retrospective cohort study. Purpose To determine the incidence and success of three-column osteotomies (3COs) performed in primary and revision adult spine deformity (ASD) corrective surgeries. Overview of Literature 3COs are often requi
Externí odkaz:
https://doaj.org/article/fb34e1710fc44f09979ffb257d4e18fb
Autor:
Joni Yadav, Apoorva Chaudhary, Tanya Tripathi, Divya Janjua, Udit Joshi, Nikita Aggarwal, Arun Chhokar, Chetkar Chandra Keshavam, Anna Senrung, Alok Chandra Bharti
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-23 (2024)
Abstract Background HPV status in a subset of HNSCC is linked with distinct treatment outcomes. Present investigation aims to elucidate the distinct clinicopathological features of HPV-positive and HPV-negative HNSCC and investigate their association
Externí odkaz:
https://doaj.org/article/04664fb90ad845f480cdab138b5f692a
Autor:
Farhad Ali, Asadullah Dawood, Akbar Hussain, M Hisham Alnasir, Muhammad Asad Khan, Tehmeena Maryum Butt, Naveed Kausar Janjua, Anum Hamid
Publikováno v:
Discover Sustainability, Vol 5, Iss 1, Pp 1-18 (2024)
Abstract Biomass has become a key contender in the race to find sustainable energy options, as we move toward a more environmentally friendly future. This extensive assessment explores the potential of biomass to transform the global energy landscape
Externí odkaz:
https://doaj.org/article/dfaf4ac530314be395a42916adf1f354
Autor:
William Andrés Florez-Perdomo, Juan Sebastián Reyes Bello, Luis Rafael Moscote Salazar, Amit Agrawal, Tariq Janjua, Vishal Chavda, Ezequiel García-Ballestas, Ebtesam Abdulla
Publikováno v:
Egyptian Journal of Neurosurgery, Vol 39, Iss 1, Pp 1-14 (2024)
Abstract This article aims to evaluate the safety and effectiveness of Gamma Knife radiosurgery as a treatment modality for pediatric cerebral arteriovenous malformations (AVMs) by assessing mortality rates, the rate of complete AVM obliteration, and
Externí odkaz:
https://doaj.org/article/73ba081c42dc45559b6818cd4ae21d3a
Annotating medical images for disease detection is often tedious and expensive. Moreover, the available training samples for a given task are generally scarce and imbalanced. These conditions are not conducive for learning effective deep neural model
Externí odkaz:
http://arxiv.org/abs/2301.08888