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pro vyhledávání: '"A., Muhammad"'
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
As Systems of Systems evolve into increasingly complex networks, harnessing their collective potential becomes paramount. Traditional SoS engineering approaches lack the necessary programmability to develop third party SoS level behaviors. To address
Externí odkaz:
http://arxiv.org/abs/2410.17784
Pedestrian motion prediction is a key part of the modular-based autonomous driving pipeline, ensuring safe, accurate, and timely awareness of human agents' possible future trajectories. The autonomous vehicle can use this information to prevent any p
Externí odkaz:
http://arxiv.org/abs/2410.16864
The linear canonical transform (LCT) serves as a powerful generalization of the Fourier transform (FT), encapsulating various integral transforms within a unified framework. This versatility has made it a cornerstone in fields such as signal processi
Externí odkaz:
http://arxiv.org/abs/2410.19001
Autor:
Rahman, Md. Sohanur, Chowdhury, Muhammad E. H., Rahman, Hasib Ryan, Ahmed, Mosabber Uddin, Kabir, Muhammad Ashad, Roy, Sanjiban Sekhar, Sarmun, Rusab
In this study, we propose a novel and robust framework, Self-DenseMobileNet, designed to enhance the classification of nodules and non-nodules in chest radiographs (CXRs). Our approach integrates advanced image standardization and enhancement techniq
Externí odkaz:
http://arxiv.org/abs/2410.12584
Single-cell RNA sequencing (scRNA-seq) enables the study of cellular diversity at single cell level. It provides a global view of cell-type specification during the onset of biological mechanisms such as developmental processes and human organogenesi
Externí odkaz:
http://arxiv.org/abs/2410.09964
This paper presents a comprehensive analysis of the double-differential $p_T$ distributions of charged particles in twelve distinct pseudorapidity regions of equal width in $pp$ collisions at center-of-mass energies of 0.9, 2.36, and 7 TeV. Utilizing
Externí odkaz:
http://arxiv.org/abs/2410.09110
Autor:
Awais, Muhammad, Alharthi, Ali Husain Salem Abdulla, Kumar, Amandeep, Cholakkal, Hisham, Anwer, Rao Muhammad
Significant progress has been made in advancing large multimodal conversational models (LMMs), capitalizing on vast repositories of image-text data available online. Despite this progress, these models often encounter substantial domain gaps, hinderi
Externí odkaz:
http://arxiv.org/abs/2410.08405
Autonomous unmanned aerial vehicle (UAV) swarm networks (UAVSNs) can effectively execute surveillance, connectivity, and computing services to ground users (GUs). These missions require trajectory planning, UAV-GUs association, task offloading, next-
Externí odkaz:
http://arxiv.org/abs/2410.06627
Autor:
Luo, Zhe, Fu, Weina, Liu, Shuai, Anwar, Saeed, Saqib, Muhammad, Bakshi, Sambit, Muhammad, Khan
Action detection and understanding provide the foundation for the generation and interaction of multimedia content. However, existing methods mainly focus on constructing complex relational inference networks, overlooking the judgment of detection ef
Externí odkaz:
http://arxiv.org/abs/2410.05771