Zobrazeno 1 - 10
of 225 875
pro vyhledávání: '"A Iqbal"'
Autor:
Khan, Saddam Hussain, Iqbal, Rashid
Monkeypox (MPox) has emerged as a significant global concern, with cases steadily increasing daily. Conventional detection methods, including polymerase chain reaction (PCR) and manual examination, exhibit challenges of low sensitivity, high cost, an
Externí odkaz:
http://arxiv.org/abs/2410.01216
Crack detection, particularly from pavement images, presents a formidable challenge in the domain of computer vision due to several inherent complexities such as intensity inhomogeneity, intricate topologies, low contrast, and noisy backgrounds. Auto
Externí odkaz:
http://arxiv.org/abs/2409.18099
Autor:
Daimi, Syed Affan, Iqbal, Asma
The number of companies listed on the NYSE has been growing exponentially, creating a significant challenge for market analysts, traders, and stockholders who must monitor and assess the performance and strategic shifts of a large number of companies
Externí odkaz:
http://arxiv.org/abs/2409.17581
Programmable quantum simulators based on neutral atom arrays today offer powerful platforms for studying strongly correlated phases of quantum matter. Here, we employ the projective symmetry group framework to describe the symmetry fractionalization
Externí odkaz:
http://arxiv.org/abs/2409.17219
The ruby lattice has been the subject of much interest recently due its realization in Rydberg atom arrays, where its rich variety of frustrated interactions gives rise to topologically ordered quantum spin liquids. Similarly, numerical studies of ru
Externí odkaz:
http://arxiv.org/abs/2409.16344
Autor:
Kumar, Aviral, Zhuang, Vincent, Agarwal, Rishabh, Su, Yi, Co-Reyes, John D, Singh, Avi, Baumli, Kate, Iqbal, Shariq, Bishop, Colton, Roelofs, Rebecca, Zhang, Lei M, McKinney, Kay, Shrivastava, Disha, Paduraru, Cosmin, Tucker, George, Precup, Doina, Behbahani, Feryal, Faust, Aleksandra
Self-correction is a highly desirable capability of large language models (LLMs), yet it has consistently been found to be largely ineffective in modern LLMs. Current methods for training self-correction typically depend on either multiple models, a
Externí odkaz:
http://arxiv.org/abs/2409.12917
Autor:
Wahab, Abdul, Khan, Tariq Mahmood, Iqbal, Shahzaib, AlShammari, Bandar, Alhaqbani, Bandar, Razzak, Imran
Identification of suspects based on partial and smudged fingerprints, commonly referred to as fingermarks or latent fingerprints, presents a significant challenge in the field of fingerprint recognition. Although fixed-length embeddings have shown ef
Externí odkaz:
http://arxiv.org/abs/2409.11802
Autor:
Naveed, Asim, Naqvi, Syed S., Khan, Tariq M., Iqbal, Shahzaib, Wani, M. Yaqoob, Khan, Haroon Ahmed
In computer-aided diagnosis tools employed for skin cancer treatment and early diagnosis, skin lesion segmentation is important. However, achieving precise segmentation is challenging due to inherent variations in appearance, contrast, texture, and b
Externí odkaz:
http://arxiv.org/abs/2409.05420
This paper introduces the Inside-Out Nested Particle Filter (IO-NPF), a novel, fully recursive, algorithm for amortized sequential Bayesian experimental design in the non-exchangeable setting. We frame policy optimization as maximum likelihood estima
Externí odkaz:
http://arxiv.org/abs/2409.05354
This work addresses how to efficiently classify challenging histopathology images, such as gigapixel whole-slide images for cancer diagnostics with image-level annotation. We use images with annotated tumor regions to identify a set of tumor patches
Externí odkaz:
http://arxiv.org/abs/2409.13720