Zobrazeno 1 - 10
of 4 021
pro vyhledávání: '"Naqvi, Syed"'
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:
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
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
Retinal diseases can cause irreversible vision loss in both eyes if not diagnosed and treated early. Since retinal diseases are so complicated, retinal imaging is likely to show two or more abnormalities. Current deep learning techniques for segmenti
Externí odkaz:
http://arxiv.org/abs/2407.02871
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 3, p e16306 (2021)
BackgroundExisting readmission reduction solutions tend to focus on complementing inpatient care with enhanced care transition and postdischarge interventions. These solutions are initiated near or after discharge, when clinicians’ impact on inpati
Externí odkaz:
https://doaj.org/article/9e15d150f5b4446099da50d2c447d27f
Segmentation is an important task in a wide range of computer vision applications, including medical image analysis. Recent years have seen an increase in the complexity of medical image segmentation approaches based on sophisticated convolutional ne
Externí odkaz:
http://arxiv.org/abs/2312.10585
Autor:
Ramzan, Muhammad Umer, Ali, Usman, Naqvi, Syed Haider Abbas, Aslam, Zeeshan, Tehseen, Ali, Husnain, Faheem, Muhammad
The auto-management of vehicle entrance and parking in any organization is a complex challenge encompassing record-keeping, efficiency, and security concerns. Manual methods for tracking vehicles and finding parking spaces are slow and a waste of tim
Externí odkaz:
http://arxiv.org/abs/2312.02699