Zobrazeno 1 - 10
of 32 391
pro vyhledávání: '"Naqvi AN"'
Autor:
Spyrou, A., Richman, D., Couture, A., Fields, C. E., Liddick, S. N., Childers, K., Crider, B. P., DeYoung, P. A., Dombos, A. C., Gastis, P., Guttormsen, M., Hermansen, K., Larsen, A. C., Lewis, R., Lyons, S., Midtbø, J. E., Mosby, S., Muecher, D., Naqvi, F., Palmisano-Kyle, A., Perdikakis, G., Prokop, C., Schatz, H., Smith, M. K., Sumithrarachchi, C., Sweet, A.
Publikováno v:
Nature Communications ( 2024) 15:9608
Massive stars are a major source of chemical elements in the cosmos, ejecting freshly produced nuclei through winds and core-collapse supernova explosions into the interstellar medium. Among the material ejected, long lived radioisotopes, such as 60F
Externí odkaz:
http://arxiv.org/abs/2412.01723
This paper evaluates the impact of training undergraduate students to improve their audio deepfake discernment ability by listening for expert-defined linguistic features. Such features have been shown to improve performance of AI algorithms; here, w
Externí odkaz:
http://arxiv.org/abs/2411.14586
This paper explores the detection and localization of cyber-attacks on time-series measurements data in power systems, focusing on comparing conventional machine learning (ML) like k-means, deep learning method like autoencoder, and graph neural netw
Externí odkaz:
http://arxiv.org/abs/2411.02248
Autor:
Liaquat, Salman, Butt, Faran Awais, Nasir, Faryal Aurooj, Naqvi, Ijaz Haider, Mahyuddin, Nor Muzlifah, Muqaibel, Ali Hussein, Alawsh, Saleh
Metallic materials such as brass, copper, and aluminum are used in numerous applications, including industrial manufacturing. The vibration characteristics of these objects are unique and can be used to identify these objects from a distance. This re
Externí odkaz:
http://arxiv.org/abs/2410.19632
Autor:
Naveed, Asim, Naqvi, Syed S., Khan, Tariq M., Iqbal, Shahzaib, Wani, M. Yaqoob, Khan, Haroon Ahmed
In computer-aided diagnosis tools employed for skin cancer treatment and early diagnosis, skin lesion segmentation is important. However, achieving precise segmentation is challenging due to inherent variations in appearance, contrast, texture, and b
Externí odkaz:
http://arxiv.org/abs/2409.05420
Deep learning has shown great potential for automated medical image segmentation to improve the precision and speed of disease diagnostics. However, the task presents significant difficulties due to variations in the scale, shape, texture, and contra
Externí odkaz:
http://arxiv.org/abs/2409.03367
Demand for ADHD diagnosis and treatment is increasing significantly and the existing services are unable to meet the demand in a timely manner. In this work, we introduce a novel action recognition method for ADHD diagnosis by identifying and analysi
Externí odkaz:
http://arxiv.org/abs/2409.02274
Attention Deficit Hyperactivity Disorder (ADHD) causes significant impairment in various domains. Early diagnosis of ADHD and treatment could significantly improve the quality of life and functioning. Recently, machine learning methods have improved
Externí odkaz:
http://arxiv.org/abs/2409.02261
Mental disorders are among the foremost contributors to the global healthcare challenge. Research indicates that timely diagnosis and intervention are vital in treating various mental disorders. However, the early somatization symptoms of certain men
Externí odkaz:
http://arxiv.org/abs/2409.02243
In a controlled cyber-physical network, such as a power grid, any malicious data injection in the sensor measurements can lead to widespread impact due to the actions of the closed-loop controllers. While fast identification of the attack signatures
Externí odkaz:
http://arxiv.org/abs/2408.02011