Zobrazeno 1 - 10
of 5 896
pro vyhledávání: '"Ghazal, P"'
Autor:
Dehghani, Amir, Kim, J. Leo, Hosseini, Dorsa Sadat, Krolewski, Alex, Mukherjee, Suvodip, Geshnizjani, Ghazal
This study presents the modeling of the gravitational wave (GW) bias parameter by bridging a connection between simulated GW sources and galaxies in low redshift galaxy surveys 2MPZ and WISExSCOS (WISC). We study this connection by creating a mock GW
Externí odkaz:
http://arxiv.org/abs/2411.11965
Autor:
Salmanpour, Mohammad R., Alizadeh, Morteza, Mousavi, Ghazal, Sadeghi, Saba, Amiri, Sajad, Oveisi, Mehrdad, Rahmim, Arman, Hacihaliloglu, Ilker
This study evaluates metrics for tasks such as classification, regression, clustering, correlation analysis, statistical tests, segmentation, and image-to-image (I2I) translation. Metrics were compared across Python libraries, R packages, and Matlab
Externí odkaz:
http://arxiv.org/abs/2411.12032
Transformers have revolutionized Computer Vision (CV) and Natural Language Processing (NLP) through self-attention mechanisms. However, due to their complexity, their latent token representations are often difficult to interpret. We introduce a novel
Externí odkaz:
http://arxiv.org/abs/2411.12589
Autor:
Butoi, Alexandra, Khalighinejad, Ghazal, Svete, Anej, Valvoda, Josef, Cotterell, Ryan, DuSell, Brian
Characterizing the computational power of neural network architectures in terms of formal language theory remains a crucial line of research, as it describes lower and upper bounds on the reasoning capabilities of modern AI. However, when empirically
Externí odkaz:
http://arxiv.org/abs/2411.07107
Autor:
Asemian, Ghazal, Kulhandjian, Michel, Amini, Mohammadreza, Kantarci, Burak, D'Amours, Claude, Erol-Kantarci, Melike
The vulnerability of 5G networks to jamming attacks has emerged as a significant concern. This paper contributes in two primary aspects. Firstly, it investigates the effect of a multi-jammer on 5G cell metrics, specifically throughput and goodput. Th
Externí odkaz:
http://arxiv.org/abs/2411.05131
Autor:
Khalighinejad, Ghazal, Scott, Sharon, Liu, Ollie, Anderson, Kelly L., Stureborg, Rickard, Tyagi, Aman, Dhingra, Bhuwan
Multimodal information extraction (MIE) is crucial for scientific literature, where valuable data is often spread across text, figures, and tables. In materials science, extracting structured information from research articles can accelerate the disc
Externí odkaz:
http://arxiv.org/abs/2410.20494
Autor:
Holighi, Amirhossein Kheiri, Hajibekandeh, Seyed Sobhan Hosseini, Behbahani, Amirhossein Gholizadeh, Khatibi, Kian, Shabestari, Saina Najafi, Ghoreishi, Ghazal, Dadnavi, Aria, Sadeghi, Saba, Makhsous, Shahriar Karimi, Jamshidi, Matin, Abadi, Mandana Shabanzadeh Nasrolah, Moaiyeri, Mohammad Hossein
This paper presents Auriga Robotics' autonomous vehicle, developed at Shahid Beheshti University's Robotics and Intelligent Automation Lab, as part of the team's entry for the 2024 RoboCup IranOpen competition. The vehicle is a 1:10 scale car equippe
Externí odkaz:
http://arxiv.org/abs/2410.11746
Firmware serves as a foundational software layer in modern computers, initiating as the first code executed on platform hardware, similar in function to a minimal operating system. Defined as a software interface between an operating system and platf
Externí odkaz:
http://arxiv.org/abs/2409.14416
Surgical scenes convey crucial information about the quality of surgery. Pixel-wise localization of tools and anatomical structures is the first task towards deeper surgical analysis for microscopic or endoscopic surgical views. This is typically don
Externí odkaz:
http://arxiv.org/abs/2409.07801
We have tested recently published foundation models for histopathology for image retrieval. We report macro average of F1 score for top-1 retrieval, majority of top-3 retrievals, and majority of top-5 retrievals. We perform zero-shot retrievals, i.e.
Externí odkaz:
http://arxiv.org/abs/2409.04631