Zobrazeno 1 - 10
of 6 399
pro vyhledávání: '"Rezapour, A"'
Online communities such as drug-related subreddits serve as safe spaces for people who use drugs (PWUD), fostering discussions on substance use experiences, harm reduction, and addiction recovery. Users' shared narratives on these forums provide insi
Externí odkaz:
http://arxiv.org/abs/2406.12117
We study the classic \textsc{(Uncapacitated) Facility Location} problem on Unit Disk Graphs (UDGs). For a given point set $P$ in the plane, the unit disk graph UDG(P) on $P$ has vertex set $P$ and an edge between two distinct points $p, q \in P$ if a
Externí odkaz:
http://arxiv.org/abs/2405.08931
Structural balance theory predicts that triads in networks gravitate towards stable configurations. The theory has been verified for undirected graphs. Since real-world networks are often directed, we introduce a novel method for considering both tra
Externí odkaz:
http://arxiv.org/abs/2405.02798
In the rapidly evolving landscape of computing disciplines, substantial efforts are being dedicated to unraveling the sociotechnical implications of generative AI (Gen AI). While existing research has manifested in various forms, there remains a nota
Externí odkaz:
http://arxiv.org/abs/2405.00995
The Industry 4.0 paradigm manifests the shift towards mass customization and cyber-physical production systems (CPPS) and sets new requirements for industrial automation software in terms of modularity, flexibility, and short development cycles of co
Externí odkaz:
http://arxiv.org/abs/2404.14030
Autor:
Rezapour, Mahdi
Sentiment analysis is a natural language processing task that aims to identify and extract the emotional aspects of a text. However, many existing sentiment analysis methods primarily classify the overall polarity of a text, overlooking the specific
Externí odkaz:
http://arxiv.org/abs/2403.14050
Autor:
Rezapour, Mahdi
In this study, we explore the application of transformer-based models for emotion classification on text data. We train and evaluate several pre-trained transformer models, on the Emotion dataset using different variants of transformers. The paper al
Externí odkaz:
http://arxiv.org/abs/2403.15454
Autor:
Kanwal, Tanzeela, Hussain, Azhar, Avcı, İbrahim, Etemad, Sina, Rezapour, Shahram, Torres, Delfim F. M.
Publikováno v:
Chaos Solitons Fractals 181 (2024), Art. 114653, 21 pp
We employ Mittag-Leffler type kernels to solve a system of fractional differential equations using fractal-fractional (FF) operators with two fractal and fractional orders. Using the notion of FF-derivatives with nonsingular and nonlocal fading memor
Externí odkaz:
http://arxiv.org/abs/2406.12856
Autor:
Rezapour, Mostafa, Niazi, Muhammad Khalid Khan, Lu, Hao, Narayanan, Aarthi, Gurcan, Metin Nafi
This study introduces the Supervised Magnitude-Altitude Scoring (SMAS) methodology, a machine learning-based approach, for analyzing gene expression data obtained from nonhuman primates (NHPs) infected with Ebola virus (EBOV). We utilize a comprehens
Externí odkaz:
http://arxiv.org/abs/2401.08738
Autor:
Rezapour, Mostafa, Seymour, Rachel B., Sims, Stephen H., Karunakar, Madhav A., Habet, Nahir, Gurcan, Metin Nafi
This study explored the potential of gait analysis as a tool for assessing post-injury complications, e.g., infection, malunion, or hardware irritation, in patients with lower extremity fractures. The research focused on the proficiency of supervised
Externí odkaz:
http://arxiv.org/abs/2309.15990