Zobrazeno 1 - 10
of 688
pro vyhledávání: '"Khan, Asifullah"'
Autor:
Usman, Muhammad, Shahid, M Husnain, Ejaz, Maheen, Hani, Ummay, Fatima, Nayab, Khan, Abdul Rehman, Khan, Asifullah, Mirza, Nasir Majid
Jet tagging is an essential categorization problem in high energy physics. In recent times, Deep Learning has not only risen to the challenge of jet tagging but also significantly improved its performance. In this article, we propose an idea of a new
Externí odkaz:
http://arxiv.org/abs/2406.06638
Autor:
Khan, Asifullah, Rauf, Zunaira, Khan, Abdul Rehman, Rathore, Saima, Khan, Saddam Hussain, Shah, Najmus Saher, Farooq, Umair, Asif, Hifsa, Asif, Aqsa, Zahoora, Umme, Khalil, Rafi Ullah, Qamar, Suleman, Asif, Umme Hani, Khan, Faiza Babar, Majid, Abdul, Gwak, Jeonghwan
Medical image segmentation plays a crucial role in various healthcare applications, enabling accurate diagnosis, treatment planning, and disease monitoring. Traditionally, convolutional neural networks (CNNs) dominated this domain, excelling at local
Externí odkaz:
http://arxiv.org/abs/2312.00634
Autor:
Ali, Momina Liaqat, Rauf, Zunaira, Khan, Asifullah, Sohail, Anabia, Ullah, Rafi, Gwak, Jeonghwan
Transformers, due to their ability to learn long range dependencies, have overcome the shortcomings of convolutional neural networks (CNNs) for global perspective learning. Therefore, they have gained the focus of researchers for several vision relat
Externí odkaz:
http://arxiv.org/abs/2305.09211
Autor:
Khan, Asifullah, Rauf, Zunaira, Sohail, Anabia, Rehman, Abdul, Asif, Hifsa, Asif, Aqsa, Farooq, Umair
Publikováno v:
Artificial Intelligence Review (2023): 1-54
Vision transformers have become popular as a possible substitute to convolutional neural networks (CNNs) for a variety of computer vision applications. These transformers, with their ability to focus on global relationships in images, offer large lea
Externí odkaz:
http://arxiv.org/abs/2305.09880
Autor:
Khan, Abdul Rehman, Khan, Asifullah
Since their emergence, Convolutional Neural Networks (CNNs) have made significant strides in medical image analysis. However, the local nature of the convolution operator may pose a limitation for capturing global and long-range interactions in CNNs.
Externí odkaz:
http://arxiv.org/abs/2305.08396
Autor:
Sohail, Anabia, Ayisha, Bibi, Hameed, Irfan, Zafar, Muhammad Mohsin, Alquhayz, Hani, Khan, Asifullah
The digitization of different components of industry and inter-connectivity among indigenous networks have increased the risk of network attacks. Designing an intrusion detection system to ensure security of the industrial ecosystem is difficult as n
Externí odkaz:
http://arxiv.org/abs/2302.09394
Leukemia, the cancer of blood cells, originates in the blood-forming cells of the bone marrow. In Chronic Myeloid Leukemia (CML) conditions, the cells partially become mature that look like normal white blood cells but do not resist infection effecti
Externí odkaz:
http://arxiv.org/abs/2302.04200
Deep Reinforcement Learning (DRL) uses diverse, unstructured data and makes RL capable of learning complex policies in high dimensional environments. Intelligent Transportation System (ITS) based on Autonomous Vehicles (AVs) offers an excellent playg
Externí odkaz:
http://arxiv.org/abs/2206.14608
Autor:
Khan, Asifullah, Khan, Saddam Hussain, Saif, Mahrukh, Batool, Asiya, Sohail, Anabia, Khan, Muhammad Waleed
The Coronavirus (COVID-19) outbreak in December 2019 has become an ongoing threat to humans worldwide, creating a health crisis that infected millions of lives, as well as devastating the global economy. Deep learning (DL) techniques have proved help
Externí odkaz:
http://arxiv.org/abs/2202.06372
Autonomous modeling of artificial swarms is necessary because manual creation is a time intensive and complicated procedure which makes it impractical. An autonomous approach employing deep reinforcement learning is presented in this study for swarm
Externí odkaz:
http://arxiv.org/abs/2202.06253