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The proliferation of smartphones and other mobile devices provides a unique opportunity to make Advanced Driver Assistance Systems (ADAS) accessible to everyone in the form of an application empowered by low-cost Machine/Deep Learning (ML/DL) models
Externí odkaz:
http://arxiv.org/abs/2410.19336
Publikováno v:
Physics of the Dark Universe, 46 (2024) 101686
This study uses the Krori-Barua type metric to represent hybrid stars within the $f(Q)$ theory of gravity. We postulate that the hybrid star also contains strange quark matter in addition to regular baryonic matter. To investigate the physical viabil
Externí odkaz:
http://arxiv.org/abs/2410.05616
There is a need for empathetic and coherent responses in automated chatbot-facilitated psychotherapy sessions. This study addresses the challenge of enhancing the emotional and contextual understanding of large language models (LLMs) in psychiatric a
Externí odkaz:
http://arxiv.org/abs/2410.01306
Autor:
Luginov, Albert, Shahzad, Muhammad
We introduce NimbleD, an efficient self-supervised monocular depth estimation learning framework that incorporates supervision from pseudo-labels generated by a large vision model. This framework does not require camera intrinsics, enabling large-sca
Externí odkaz:
http://arxiv.org/abs/2408.14177
This paper is devoted to studying the optical and thermal geometrical properties of Hot, NUT-KerrNewman-Kasuya-AdS black hole (BH). This BH is characterized by the NUT charge and a parameter Q that comprises the electric and magnetic charge. We compu
Externí odkaz:
http://arxiv.org/abs/2408.04365
In the realm of deploying Machine Learning-based Advanced Driver Assistance Systems (ML-ADAS) into real-world scenarios, adverse weather conditions pose a significant challenge. Conventional ML models trained on clear weather data falter when faced w
Externí odkaz:
http://arxiv.org/abs/2407.02581
Autor:
Le, Hoang H., Nguyen, Duy M. H., Bhatti, Omair Shahzad, Kopacsi, Laszlo, Ngo, Thinh P., Nguyen, Binh T., Barz, Michael, Sonntag, Daniel
Comprehending how humans process visual information in dynamic settings is crucial for psychology and designing user-centered interactions. While mobile eye-tracking systems combining egocentric video and gaze signals can offer valuable insights, man
Externí odkaz:
http://arxiv.org/abs/2406.06239
Autor:
Fatima, Rumsha, Younis, Shahzad, Shaikh, Faraz, Imran, Hamna, Sultan, Haseeb, Rasool, Shahzad, Rafiq, Mehak
The reliable diagnosis of cardiac conditions through electrocardiogram (ECG) analysis critically depends on accurately detecting P waves and measuring the PR interval. However, achieving consistent and generalizable diagnoses across diverse populatio
Externí odkaz:
http://arxiv.org/abs/2401.04938
The emergence of contemporary deepfakes has attracted significant attention in machine learning research, as artificial intelligence (AI) generated synthetic media increases the incidence of misinterpretation and is difficult to distinguish from genu
Externí odkaz:
http://arxiv.org/abs/2405.04097
We present pore-resolved Direct Numerical Simulations (DNS) of turbulent flows grazing over acoustic liners with aerodynamically and/or acoustically optimized orifice configurations. Our DNS explore a large parameter space, studying various families
Externí odkaz:
http://arxiv.org/abs/2405.00563