Zobrazeno 1 - 10
of 6 086
pro vyhledávání: '"Alipour P"'
Recent advancements in anomaly detection have shifted focus towards Multi-class Unified Anomaly Detection (MUAD), offering more scalable and practical alternatives compared to traditional one-class-one-model approaches. However, existing MUAD methods
Externí odkaz:
http://arxiv.org/abs/2411.16049
Pre-trained Vision-language (VL) models, such as CLIP, have shown significant generalization ability to downstream tasks, even with minimal fine-tuning. While prompt learning has emerged as an effective strategy to adapt pre-trained VL models for dow
Externí odkaz:
http://arxiv.org/abs/2411.16018
Understanding how colloids move in crowded environments is key for gaining control over their transport in applications such as drug delivery, filtration, contaminant/microplastic remediation and agriculture. The classical models of colloid transport
Externí odkaz:
http://arxiv.org/abs/2411.14712
Large language models (LLMs) are known to exhibit demographic biases, yet few studies systematically evaluate these biases across multiple datasets or account for confounding factors. In this work, we examine LLM alignment with human annotations in f
Externí odkaz:
http://arxiv.org/abs/2411.08977
In this paper, we conduct a comprehensive investigation into the weak cosmic censorship conjecture (WCCC) for Reissner-Nordstr\"om (R-N) AdS black holes that are influenced by Perfect Fluid Dark Matter (PFDM). Our study is framed within the context o
Externí odkaz:
http://arxiv.org/abs/2411.04134
Energy correlators have recently come to the forefront of jet substructure studies at colliders due to their remarkable properties: they naturally separate physics at different scales, are robust to contamination from soft radiation, and offer a dire
Externí odkaz:
http://arxiv.org/abs/2410.16368
In this study, we investigate the Weak Gravity Conjecture (WGC) in the context of quantum-corrected AdS-Reissner-Nordstrom (AdS-RN) black holes within Kiselev spacetime. Our focus is on photon spheres, which serve as markers for stable and unstable p
Externí odkaz:
http://arxiv.org/abs/2410.14352
Publikováno v:
2023 9th International Conference on Control, Instrumentation and Automation (ICCIA)
Our research introduces a groundbreaking approach to stress classification through Photoplethysmogram (PPG) signals. By combining Continuous Wavelet Transformation (CWT) with the proven VGG16 classifier, our method enhances stress assessment accuracy
Externí odkaz:
http://arxiv.org/abs/2410.14747
Publikováno v:
Proceedings of the 10th RSI International Conference on Robotics and Mechatronics (ICRoM 2022), Nov. 15-18, 2022, Tehran, Iran
Stress is one of the main issues of nowadays lifestyle. If it becomes chronic it can have adverse effects on the human body. Thus, the early detection of stress is crucial to prevent its hurting effects on the human body and have a healthier life. St
Externí odkaz:
http://arxiv.org/abs/2410.12273
Publikováno v:
ICEE 2023
This paper introduces a robust stress detection system utilizing a Convolutional Neural Network (CNN) designed for the analysis of Photoplethysmogram (PPG) signals. Employing the WESAD dataset, we applied Continuous Wavelet Transform (CWT) to extract
Externí odkaz:
http://arxiv.org/abs/2410.19776