Zobrazeno 1 - 10
of 15 605
pro vyhledávání: '"P. Zia"'
Autor:
Ramzan, Muhammad Umer, Zia, Ali, Khamis, Abdelwahed, Elgharabawy, yman, Liaqat, Ahmad, Ali, Usman
This paper presents a novel deep-learning framework that significantly enhances the transformation of rudimentary face sketches into high-fidelity colour images. Employing a Convolutional Block Attention-based Auto-encoder Network (CA2N), our approac
Externí odkaz:
http://arxiv.org/abs/2411.19005
Autor:
Pierson, Matthew, Mehrabi, Zia
Surprisingly a number of Earth's waterways remain unmapped, with a significant number in low and middle income countries. Here we build a computer vision model (WaterNet) to learn the location of waterways in the United States, based on high resoluti
Externí odkaz:
http://arxiv.org/abs/2411.13590
Physics Informed Machine Learning has emerged as a popular approach in modelling and simulation for digital twins to generate accurate models of processes and behaviours of real-world systems. However, despite their success in generating accurate and
Externí odkaz:
http://arxiv.org/abs/2411.11497
Word embeddings represent a transformative technology for analyzing text data in social work research, offering sophisticated tools for understanding case notes, policy documents, research literature, and other text-based materials. This methodologic
Externí odkaz:
http://arxiv.org/abs/2411.07156
Directionality in molecular and biomolecular networks plays a significant role in the accurate represention of the complex, dynamic, and asymmetrical nature of interactions present in protein-ligand binding, signal transduction, and biological pathwa
Externí odkaz:
http://arxiv.org/abs/2411.02596
Arguably, the most fundamental problem in Network Science is finding structure within a complex network. One approach is to partition the nodes into communities that are more densely connected than one expects in a random network. "The" community str
Externí odkaz:
http://arxiv.org/abs/2411.00977
Autor:
Li, Xuesong, Hayder, Zeeshan, Zia, Ali, Cassidy, Connor, Liu, Shiming, Stiller, Warwick, Stone, Eric, Conaty, Warren, Petersson, Lars, Rolland, Vivien
Crop biomass offers crucial insights into plant health and yield, making it essential for crop science, farming systems, and agricultural research. However, current measurement methods, which are labor-intensive, destructive, and imprecise, hinder la
Externí odkaz:
http://arxiv.org/abs/2410.23901
Organizational success in todays competitive employment market depends on choosing the right staff. This work evaluates software engineer profiles using an automated staff selection method based on advanced natural language processing (NLP) technique
Externí odkaz:
http://arxiv.org/abs/2410.23365
Delivering prompt information and guidance to farmers is critical in agricultural decision-making. Farmers helpline centres are heavily reliant on the expertise and availability of call centre agents, leading to inconsistent quality and delayed respo
Externí odkaz:
http://arxiv.org/abs/2411.08883
Despite growing efforts to halt distasteful content on social media, multilingualism has added a new dimension to this problem. The scarcity of resources makes the challenge even greater when it comes to low-resource languages. This work focuses on p
Externí odkaz:
http://arxiv.org/abs/2410.21321