Zobrazeno 1 - 10
of 6 896
pro vyhledávání: '"P. Nia"'
Topic modeling, or more broadly, dimensionality reduction, techniques provide powerful tools for uncovering patterns in large datasets and are widely applied across various domains. We investigate how Non-negative Matrix Factorization (NMF) can intro
Externí odkaz:
http://arxiv.org/abs/2411.09847
Autor:
Nia, Sohrab Namazi, Shih, Frank Y.
Publikováno v:
S. N. Nia and F. Y. Shih, "Medical X-Ray Image Enhancement Using Global Contrast-Limited Adaptive Histogram Equalization," IJPRAI, vol. 38, no. 12, 2457010, 2024
In medical imaging, accurate diagnosis heavily relies on effective image enhancement techniques, particularly for X-ray images. Existing methods often suffer from various challenges such as sacrificing global image characteristics over local image ch
Externí odkaz:
http://arxiv.org/abs/2411.01373
Autor:
Nia, Masoumeh Farhadi
With the ongoing advancement of video technology and the emergence of new video platforms, suppliers of video contents are striving to ensure that the video quality meets the desire of consumers. Accessing a limited amount of channel bandwidth, they
Externí odkaz:
http://arxiv.org/abs/2408.09044
The BCJ duality between color and kinematics brings two advantages to calculating multi-loop scattering amplitudes. First the number of ordered cuts that need to be performed to fix the integrand to a gauge theory is minimal -- reducing the factorial
Externí odkaz:
http://arxiv.org/abs/2408.07780
Background and Objective: This proof of concept study investigates mathematical modelling of blood flow and oxygen transport in cerebral microcirculation, focusing on understanding hemodynamic responses. By coupling oxygen transport models and blood
Externí odkaz:
http://arxiv.org/abs/2407.17082
Artificial intelligence has dramatically reshaped our interaction with digital technologies, ushering in an era where advancements in AI algorithms and Large Language Models (LLMs) have natural language processing (NLP) systems like ChatGPT. This stu
Externí odkaz:
http://arxiv.org/abs/2406.06616
Autor:
Edalati, Ali, Ghaffari, Alireza, Asgharian, Masoud, Hou, Lu, Chen, Boxing, Nia, Vahid Partovi
Deployment of Large Language Models (LLMs) has major computational costs, due to their rapidly expanding size. Compression of LLMs reduces the memory footprint, latency, and energy required for their inference. Post-training Quantization (PTQ) techni
Externí odkaz:
http://arxiv.org/abs/2405.15025
The ever-growing computational complexity of Large Language Models (LLMs) necessitates efficient deployment strategies. The current state-of-the-art approaches for Post-training Quantization (PTQ) often require calibration to achieve the desired accu
Externí odkaz:
http://arxiv.org/abs/2405.13358
AI Collaborator, powered by OpenAI's GPT-4, is a groundbreaking tool designed for human-AI collaboration research. Its standout feature is the ability for researchers to create customized AI personas for diverse experimental setups using a user-frien
Externí odkaz:
http://arxiv.org/abs/2405.10460
Social media platforms actively moderate content glorifying harmful behaviors like eating disorders, which include anorexia and bulimia. However, users have adapted to evade moderation by using coded hashtags. Our study investigates the prevalence of
Externí odkaz:
http://arxiv.org/abs/2404.15457