Zobrazeno 1 - 10
of 1 227 285
pro vyhledávání: '"MUHAMMAD, A. A."'
Autor:
Umer, Muhammad, Mohsin, Muhammad Ahmed, Kaushik, Aryan, Nadeem, Qurrat-ul-Ain, Nasir, Ali Arshad, Hassan, Syed Ali
Reconfigurable intelligent surface (RIS)-assisted aerial non-terrestrial networks (NTNs) offer a promising paradigm for enhancing wireless communications in the era of 6G and beyond. By integrating RIS with aerial platforms such as unmanned aerial ve
Externí odkaz:
http://arxiv.org/abs/2412.18957
Autor:
Ali, Usman, Ranmbail, Sahil, Nadeem, Muhammad, Ishfaq, Hamid, Ramzan, Muhammad Umer, Ali, Waqas
Extracting medication names from handwritten doctor prescriptions is challenging due to the wide variability in handwriting styles and prescription formats. This paper presents a robust method for extracting medicine names using a combination of Mask
Externí odkaz:
http://arxiv.org/abs/2412.18199
Autor:
Jamshed, Muhammad Ali, Kaushik, Aryan, Manzoor, Sanaullah, Shakir, Muhammad Zeeshan, Seong, Jaehyup, Toka, Mesut, Shin, Wonjae, Schellmann, Malte
The International Mobile Telecommunications (IMT)-2030 framework recently adopted by the International Telecommunication Union Radiocommunication Sector (ITU-R) envisions 6G networks to deliver intelligent, seamless connectivity that supports reliabl
Externí odkaz:
http://arxiv.org/abs/2412.16611
Autor:
Soni, Sagar, Dudhane, Akshay, Debary, Hiyam, Fiaz, Mustansar, Munir, Muhammad Akhtar, Danish, Muhammad Sohail, Fraccaro, Paolo, Watson, Campbell D, Klein, Levente J, Khan, Fahad Shahbaz, Khan, Salman
Automated analysis of vast Earth observation data via interactive Vision-Language Models (VLMs) can unlock new opportunities for environmental monitoring, disaster response, and resource management. Existing generic VLMs do not perform well on Remote
Externí odkaz:
http://arxiv.org/abs/2412.15190
Convolutional Neural Networks (CNNs) are crucial in various applications, but their deployment on resource-constrained edge devices poses challenges. This study presents the Sum-of-Products (SOP) units for convolution, which utilize low-latency left-
Externí odkaz:
http://arxiv.org/abs/2412.13724
The Dilemma of Random Parameter Initialization and Barren Plateaus in Variational Quantum Algorithms
Autor:
Kashif, Muhammad, Shafique, Muhammad
This paper presents an easy-to-implement approach to mitigate the challenges posed by barren plateaus (BPs) in randomly initialized parameterized quantum circuits (PQCs) within variational quantum algorithms (VQAs). Recent state-of-the-art research i
Externí odkaz:
http://arxiv.org/abs/2412.06462
Hybrid Quantum Neural Networks (HQNNs) have gained attention for their potential to enhance computational performance by incorporating quantum layers into classical neural network (NN) architectures. However, a key question remains: Do quantum layers
Externí odkaz:
http://arxiv.org/abs/2412.04991
The rapid advancement in Quantum Computing (QC), particularly through Noisy-Intermediate Scale Quantum (NISQ) devices, has spurred significant interest in Quantum Machine Learning (QML) applications. Despite their potential, fully-quantum QML algorit
Externí odkaz:
http://arxiv.org/abs/2412.04844
Autor:
Manan, Malik Abdul, Jinchao, Feng, Yaqub, Muhammad, Ahmed, Shahzad, Imran, Syed Muhammad Ali, Chuhan, Imran Shabir, Khan, Haroon Ahmed
Publikováno v:
Alexandria Engineering Journal Volume 105, October 2024, Pages 341-359
Colorectal polyps are structural abnormalities of the gastrointestinal tract that can potentially become cancerous in some cases. The study introduces a novel framework for colorectal polyp segmentation named the Multi-Scale and Multi-Path Cascaded C
Externí odkaz:
http://arxiv.org/abs/2412.02443
Autor:
Shaikh, Abdurrahman Javid, Abro, Abdul Ghani, Baig, Mirza Muhammad Ali, Siddiqui, Muhammad Adeel Ahmad, Abbas, Syed Mohsin
Full-vectorial finite difference method with perfectly matched layers boundaries is used to identify the single mode operation region of submicron rib waveguides fabricated using sili-con-on-insulator material system. Achieving high mode power confin
Externí odkaz:
http://arxiv.org/abs/2412.01236