Zobrazeno 1 - 10
of 3 030
pro vyhledávání: '"Noorbakhsh A"'
Autor:
Hassan S. Al Khatib, Subash Neupane, Harish Kumar Manchukonda, Noorbakhsh Amiri Golilarz, Sudip Mittal, Amin Amirlatifi, Shahram Rahimi
Publikováno v:
Frontiers in Artificial Intelligence, Vol 7 (2024)
Patient-Centric Knowledge Graphs (PCKGs) represent an important shift in healthcare that focuses on individualized patient care by mapping the patient’s health information holistically and multi-dimensionally. PCKGs integrate various types of healt
Externí odkaz:
https://doaj.org/article/e4a38673c1804c1f86f586f2a9ec9701
Autor:
Hamidreza Khodabandeh, Zahra Bakhshizade, Mohammad Hossein Taklif, Halime Zaeri Fakhrabadi, Soleyman Alivand, Noorbakhsh Alivand, Ghazaleh Rashidizadeh, Leila Jampour, Mahsa Shirani
Publikováno v:
Journal of Nephropathology, Vol 12, Iss 4, Pp e21477-e21477 (2023)
Introduction: Sodium-glucose cotransporter-2 (SGLT2) inhibitors are a new diabetes treatment. Considering the prescription of these medicines for kidney transplant patients, this systematic review and meta-analysis aimed to investigate the impact of
Externí odkaz:
https://doaj.org/article/f10b847e574945f9b3bdeb50a1f105e7
Autor:
Haiping Lin, Iman Ahmadianfar, Noorbakhsh Amiri Golilarz, Mehdi Jamei, Ali Asghar Heidari, Fangjun Kuang, Siyang Zhang, Huiling Chen
Publikováno v:
Energy Science & Engineering, Vol 10, Iss 7, Pp 2035-2064 (2022)
Abstract Solar energy is becoming more popular as it is a clean source of electricity. The design of photovoltaic (PV) cells has therefore captivated experts worldwide. The two key issues are the lack of an excellent model to define solar cells and t
Externí odkaz:
https://doaj.org/article/745d37abaf4748cbacb0b806282b2227
Autor:
Iman Ahmadianfar, Wenyin Gong, Ali Asghar Heidari, Noorbakhsh Amiri Golilarz, Arvin Samadi-Koucheksaraee, Huiling Chen
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 3979-3997 (2021)
Deriving optimal photovoltaic (PV) models’ optimal parameters have tremendous significance in simulating, evaluating, and controlling the photovoltaic systems. Determining unknown parameters of these PV models is a multimodal, nonlinear, and comple
Externí odkaz:
https://doaj.org/article/621b098f549145099c556794092ec9bf
Machine learning models are vulnerable to both security attacks (e.g., adversarial examples) and privacy attacks (e.g., private attribute inference). We take the first step to mitigate both the security and privacy attacks, and maintain task utility
Externí odkaz:
http://arxiv.org/abs/2412.11066
Autor:
Hossain, Elias, Nuzhat, Tasfia, Masum, Shamsul, Rahimi, Shahram, Mittal, Sudip, Golilarz, Noorbakhsh Amiri
Accurate classification of cancer-related medical abstracts is crucial for healthcare management and research. However, obtaining large, labeled datasets in the medical domain is challenging due to privacy concerns and the complexity of clinical data
Externí odkaz:
http://arxiv.org/abs/2410.15198
In this paper, we discuss learning algorithms and their importance in different types of applications which includes training to identify important patterns and features in a straightforward, easy-to-understand manner. We will review the main concept
Externí odkaz:
http://arxiv.org/abs/2410.09186
Autor:
Noorbakhsh Amiri Golilarz, Mirpouya Mirmozaffari, Tayyebeh Asgari Gashteroodkhani, Liaqat Ali, Hamidreza Ahady Dolatsara, Azam Boskabadi, Mohammad Yazdi
Publikováno v:
IEEE Access, Vol 8, Pp 133076-133085 (2020)
In this research, we propose to utilize the newly introduced Multi-population differential evolution-assisted Harris Hawks Optimization Algorithm (CMDHHO) in the optimization process for satellite image denoising in the wavelet domain. This optimizat
Externí odkaz:
https://doaj.org/article/01cf297aca194f2d9a8d80e6873c35a3
Autor:
Neupane, Subash, Hossain, Elias, Keith, Jason, Tripathi, Himanshu, Ghiasi, Farbod, Golilarz, Noorbakhsh Amiri, Amirlatifi, Amin, Mittal, Sudip, Rahimi, Shahram
This paper presents BARKPLUG V.2, a Large Language Model (LLM)-based chatbot system built using Retrieval Augmented Generation (RAG) pipelines to enhance the user experience and access to information within academic settings.The objective of BARKPLUG
Externí odkaz:
http://arxiv.org/abs/2405.08120
Publikováno v:
Frontiers in Neuroscience, Vol 14 (2020)
This paper presents a unique approach for wavelet-based MRI brain image de-noising. Adaptive soft and hard threshold functions are first proposed to improve the results of standard soft and hard threshold functions for image de-noising in the wavelet
Externí odkaz:
https://doaj.org/article/258042a8a2854cc1a5786e8cfcfe3ead