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pro vyhledávání: '"Ulhaq, Anwaar"'
Quantum image computing draws a lot of attention due to storing and processing image data faster than classical. With increasing the image size, the number of connections also increases, leading to the circuit complex. Therefore, efficient quantum im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8569cf6e5df6043d2c76005871b017ab
http://arxiv.org/abs/2306.12634
http://arxiv.org/abs/2306.12634
Autor:
Ali, Mohammed Eunus, Cheema, Muhammad Aamir, Hashem, Tanzima, Ulhaq, Anwaar, Babar, Muhammad Ali
A Digital Twin (DT) is a virtual replica of a physical object or system, created to monitor, analyze, and optimize its behavior and characteristics. A Spatial Digital Twin (SDT) is a specific type of digital twin that emphasizes the geospatial aspect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3559cf3479454e4591cab9c1835424a1
http://arxiv.org/abs/2306.06600
http://arxiv.org/abs/2306.06600
Historically, the analysis of stimulus-dependent time-frequency patterns has been the cornerstone of most electroencephalography (EEG) studies. The abnormal oscillations in high-frequency waves associated with psychotic disorders during sensory and c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fc2eb0fcb32f2e88592fbdd0d68d6ba
http://arxiv.org/abs/2301.01588
http://arxiv.org/abs/2301.01588
Diffusion Models (DMs) have demonstrated state-of-the-art performance in content generation without requiring adversarial training. These models are trained using a two-step process. First, a forward - diffusion - process gradually adds noise to a da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c09d70fcbb1876926eb6e794beefc5f1
http://arxiv.org/abs/2210.09292
http://arxiv.org/abs/2210.09292
In recent year, quantum image processing got a lot of attention in the field of image processing due to opportunity to place huge image data in quantum Hilbert space. Hilbert space or Euclidean space has infinite dimension to locate and process the i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a63d64e5067cd039ac60641b7e035bee
http://arxiv.org/abs/2208.14277
http://arxiv.org/abs/2208.14277
Vision transformers are emerging as a powerful tool to solve computer vision problems. Recent techniques have also proven the efficacy of transformers beyond the image domain to solve numerous video-related tasks. Among those, human action recognitio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7376f43c0d9637471ba7fd980b615b72
With the fast growth of immersive video sequences, achieving seamless and high-quality compressed 3D content is even more critical. MPEG recently developed a video-based point cloud compression (V-PCC) standard for dynamic point cloud coding. However
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ff68dd85ef9e29a3836d71447710b58
In the last two decades, functional magnetic resonance imaging (fMRI) has emerged as one of the most effective technologies in clinical research of the human brain. fMRI allows researchers to study healthy and pathological brains while they perform v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c133cda1d491874b38d4ebf6a0b10bb7
Quantum computing draws huge attention due to its faster computational capability compared to classical computing to represent and compress the classical image data into the quantum domain. The main idea of quantum domain representation is to convert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8ad3eacf1ffb142f5c39d9c1c72a4a7
Autor:
Ulhaq, Anwaar
The subject of deep learning has emerged in the last decade as one of the most promising approaches to machine learning. Today, certainly, much of the recent progress in artificial intelligence is due to it, but research challenges are still unresolv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::905aa37bb166666c7e8f29a464303800
https://doi.org/10.31224/osf.io/r78ds
https://doi.org/10.31224/osf.io/r78ds