Zobrazeno 1 - 10
of 8 816
pro vyhledávání: '"Owais, A."'
Autor:
Siddiqui, Owais Ishtiaq, Innan, Nouhaila, Marchisio, Alberto, Bennai, Mohamed, Shafique, Muhammad
Quantum Machine Learning (QML) has shown promise in diverse applications such as environmental monitoring, healthcare diagnostics, and financial modeling. However, the practical application of QML faces challenges, such as the limited availability of
Externí odkaz:
http://arxiv.org/abs/2412.19843
In response to the growing challenges of manual labor and efficiency in warehouse operations, Amazon has embarked on a significant transformation by incorporating robotics to assist with various tasks. While a substantial number of robots have been s
Externí odkaz:
http://arxiv.org/abs/2411.13205
We discuss the classical and quantum chaos of closed strings on a recently constructed charged confining holographic background. The confining background corresponds to the charged soliton, which is a solution of minimal $d=5$ gauged supergravity. Th
Externí odkaz:
http://arxiv.org/abs/2411.12536
Seam carving, a content-aware image resizing technique, has garnered significant attention for its ability to resize images while preserving important content. In this paper, we conduct a comprehensive analysis of four algorithmic design techniques f
Externí odkaz:
http://arxiv.org/abs/2410.21207
Recognizing actions from a limited set of labeled videos remains a challenge as annotating visual data is not only tedious but also can be expensive due to classified nature. Moreover, handling spatio-temporal data using deep $3$D transformers for th
Externí odkaz:
http://arxiv.org/abs/2409.02910
Autor:
Menon, Karthik, Zanoni, Andrea, Khan, Owais, Geraci, Gianluca, Nieman, Koen, Schiavazzi, Daniele E., Marsden, Alison L.
Simulations of coronary hemodynamics have improved non-invasive clinical risk stratification and treatment outcomes for coronary artery disease, compared to relying on anatomical imaging alone. However, simulations typically use empirical approaches
Externí odkaz:
http://arxiv.org/abs/2409.02247
Autor:
Ahmad, Owais, Dar, Aijaz Ahmad
In this paper, we introduce the notion of windowed linear canonical transform in biquaternion setting namely Biquaternion Windowed Linear Canonical Transform (BiQWLCT) and various properties of BiQWLCT, such as linearity, shift, parity, orthogonality
Externí odkaz:
http://arxiv.org/abs/2406.17291
Deploying mobile robots in construction sites to collaborate with workers or perform automated tasks such as surveillance and inspections carries the potential to greatly increase productivity, reduce human errors, and save costs. However ensuring hu
Externí odkaz:
http://arxiv.org/abs/2404.13143
Open-World Recognition (OWR) is an emerging field that makes a machine learning model competent in rejecting the unknowns, managing them, and incrementally adding novel samples to the base knowledge. However, this broad objective is not practical for
Externí odkaz:
http://arxiv.org/abs/2312.05454
Publikováno v:
Energy Storage and Saving, Vol 3, Iss 4, Pp 327-340 (2024)
Integrating solar power into smart grids is challenging because of the variable nature of solar energy. This study focuses on implementing reinforcement learning (RL) using a Deep Q-Network algorithm to enhance the stability and efficiency of a grid.
Externí odkaz:
https://doaj.org/article/f103d155359d43d8ba3593199efde8c2
