Zobrazeno 1 - 10
of 10 587
pro vyhledávání: '"Nejad, P."'
Autor:
Nejad, Seyed Mohsen Hosseini
We analyze the static potentials induced by vacuum domains for various representations in SU($4$) Yang-Mills theory within the framework of the domain structure model. By studying the interactions within the vacuum domains, we can uncover fundamental
Externí odkaz:
http://arxiv.org/abs/2411.10589
Autor:
Nejad, Sareh Soltani, Haque, Anwar
The widespread implementation of urban surveillance systems has necessitated more sophisticated techniques for anomaly detection to ensure enhanced public safety. This paper presents a significant advancement in the field of anomaly detection through
Externí odkaz:
http://arxiv.org/abs/2411.08755
With the widespread adoption of digital devices equipped with cameras and the rapid development of Internet technology, numerous content-based image retrieval systems and novel image feature extraction techniques have emerged in recent years. This pa
Externí odkaz:
http://arxiv.org/abs/2411.08567
Continuous monitoring of non-invasive skin sympathetic nerve activity (SKNA) holds promise for understanding the sympathetic nervous system (SNS) dynamics in various physiological and pathological conditions. However, muscle noise artifacts present a
Externí odkaz:
http://arxiv.org/abs/2410.21319
Player Experience Modelling (PEM) is the study of AI techniques applied to modelling a player's experience within a video game. PEM development can be labour-intensive, requiring expert hand-authoring or specialized data collection. In this work, we
Externí odkaz:
http://arxiv.org/abs/2410.02967
Personalized virtual reality exposure therapy is a therapeutic practice that can adapt to an individual patient, leading to better health outcomes. Measuring a patient's mental state to adjust the therapy is a critical but difficult task. Most publis
Externí odkaz:
http://arxiv.org/abs/2409.17427
The need to generate a spider to provoke a desired anxiety response arises in the context of personalized virtual reality exposure therapy (VRET), a treatment approach for arachnophobia. This treatment involves patients observing virtual spiders in o
Externí odkaz:
http://arxiv.org/abs/2409.17406
Background: The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a lack of comprehensive understanding of algorithmic bias, systematic er
Externí odkaz:
http://arxiv.org/abs/2408.13295
Autor:
He, Zhonghao, Achterberg, Jascha, Collins, Katie, Nejad, Kevin, Akarca, Danyal, Yang, Yinzhu, Gurnee, Wes, Sucholutsky, Ilia, Tang, Yuhan, Ianov, Rebeca, Ogden, George, Li, Chole, Sandbrink, Kai, Casper, Stephen, Ivanova, Anna, Lindsay, Grace W.
As deep learning systems are scaled up to many billions of parameters, relating their internal structure to external behaviors becomes very challenging. Although daunting, this problem is not new: Neuroscientists and cognitive scientists have accumul
Externí odkaz:
http://arxiv.org/abs/2408.12664
Autor:
Abdollahi, Ali, Ghaznavi, Mahdi, Nejad, Mohammad Reza Karimi, Oriyad, Arash Mari, Abbasi, Reza, Salesi, Ali, Behjati, Melika, Rohban, Mohammad Hossein, Baghshah, Mahdieh Soleymani
Publikováno v:
Volume 392 of ECAI 2024, Pages 729 - 736
Vision-language models (VLMs) are intensively used in many downstream tasks, including those requiring assessments of individuals appearing in the images. While VLMs perform well in simple single-person scenarios, in real-world applications, we often
Externí odkaz:
http://arxiv.org/abs/2407.21001