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pro vyhledávání: '"Karami, A"'
Background: Mathematical models based on ordinary differential equations (ODEs) are essential tools across various scientific disciplines, including biology, ecology, and healthcare informatics. They are used to simulate complex dynamic systems and i
Externí odkaz:
http://arxiv.org/abs/2411.05371
Mixed-precision quantization works Neural Networks (NNs) are gaining traction for their efficient realization on the hardware leading to higher throughput and lower energy. In-Memory Computing (IMC) accelerator architectures are offered as alternativ
Externí odkaz:
http://arxiv.org/abs/2411.01417
Understanding the intricate cellular environment within biological tissues is crucial for uncovering insights into complex biological functions. While single-cell RNA sequencing has significantly enhanced our understanding of cellular states, it lack
Externí odkaz:
http://arxiv.org/abs/2411.02534
Autor:
Karami, Alireza
The capacity to estimate the number of objects (numerosity) in the environment is ontogenetically precocious and phylogenetically ancient. In animals, this ability holds significant adaptive advantages, directly influencing survival and reproductive
Externí odkaz:
https://hdl.handle.net/11572/402591
Autor:
Karami, Mostafa, Chen, Xian
Shape memory alloys that can deform and then spring back to their original shape, have found a wide range of applications in the medical field, from heart valves to stents. As we push the boundaries of technology creating smaller, more precise tools
Externí odkaz:
http://arxiv.org/abs/2407.21246
Here, we explore the formation of primordial black holes (PBHs) within a scalar field inflationary model coupled to the Gauss-Bonnet (GB) term, incorporating low-scale spontaneously broken supersymmetric (SB SUSY) potential. The coupling function amp
Externí odkaz:
http://arxiv.org/abs/2407.15445
Autor:
Karami, Parsa, Elahi, Reza
With a high rate of morbidity and mortality, colorectal cancer (CRC) ranks third in mortality among cancers. By analyzing the texture properties of images and quantifying the heterogeneity of tumors, radiomics and radiogenomics are non-invasive metho
Externí odkaz:
http://arxiv.org/abs/2406.12467
Autor:
Heydari, Soma, Karami, Kayoomars
Publikováno v:
ApJ 975, 148 (2024)
In this work, a new fast-roll (FR) mechanism to generate primordial black holes (PBHs) and gravitational waves (GWs) in generalized non-canonical natural inflation is introduced. In this model, choosing a suitable function for non-canonical mass scal
Externí odkaz:
http://arxiv.org/abs/2405.08563
Autor:
Ghimire, Prajwal, Kinnersley, Ben, Karami, Golestan, Arumugam, Prabhu, Houlston, Richard, Ashkan, Keyoumars, Modat, Marc, Booth, Thomas C
Immunotherapy is an effective precision medicine treatment for several cancers. Imaging signatures of the underlying genome (radiogenomics) in glioblastoma patients may serve as preoperative biomarkers of the tumor-host immune apparatus. Validated bi
Externí odkaz:
http://arxiv.org/abs/2405.07858
Machine Learning (ML) operators are the building blocks to design ML models with various target applications. GEneral Matrix Multiplication (GEMM) operators are the backbone of ML models. They are notorious for being computationally expensive requiri
Externí odkaz:
http://arxiv.org/abs/2404.11788