Zobrazeno 1 - 10
of 73 203
pro vyhledávání: '"A. A. Qureshi"'
A model based on a $U(1)_{T^3_R}$ extension of the Standard Model can address the mass hierarchy between generations of fermions, explain thermal dark matter abundance, and the muon $g - 2$, $R_{(D)}$, and $R_{(D^*)}$ anomalies. The model contains a
Externí odkaz:
http://arxiv.org/abs/2410.17854
Autor:
Pathre, Pranjali, Gupta, Gunjan, Qureshi, M. Nomaan, Brunda, Mandyam, Brahmbhatt, Samarth, Krishna, K. Madhava
Visual servoing, the method of controlling robot motion through feedback from visual sensors, has seen significant advancements with the integration of optical flow-based methods. However, its application remains limited by inherent challenges, such
Externí odkaz:
http://arxiv.org/abs/2410.12432
Mapping and motion planning are two essential elements of robot intelligence that are interdependent in generating environment maps and navigating around obstacles. The existing mapping methods create maps that require computationally expensive motio
Externí odkaz:
http://arxiv.org/abs/2410.09883
Quantum error correction is necessary for achieving exponential speedups on important applications. The planar surface code has remained the most studied error-correcting code for the last two decades because of its relative simplicity. However, enco
Externí odkaz:
http://arxiv.org/abs/2409.14283
Autor:
Yang, Zhongqi, Azimi, Iman, Jafarlou, Salar, Labbaf, Sina, Nguyen, Brenda, Qureshi, Hana, Marcotullio, Christopher, Borelli, Jessica L., Dutt, Nikil, Rahmani, Amir M.
Publikováno v:
2023 IEEE 19th International Conference on Body Sensor Networks (BSN), 1-4
The adverse effects of loneliness on both physical and mental well-being are profound. Although previous research has utilized mobile sensing techniques to detect mental health issues, few studies have utilized state-of-the-art wearable devices to fo
Externí odkaz:
http://arxiv.org/abs/2410.00020
Publikováno v:
IJSEA, 2024
Understanding stakeholder needs is essential for project success, as stakeholder importance varies across projects. This study proposes a framework for early stakeholder identification and continuous engagement throughout the project lifecycle. The f
Externí odkaz:
http://arxiv.org/abs/2409.05019
Compositional Zero-Shot Learning (CZSL) aims to predict unknown compositions made up of attribute and object pairs. Predicting compositions unseen during training is a challenging task. We are exploring Open World Compositional Zero-Shot Learning (OW
Externí odkaz:
http://arxiv.org/abs/2407.13715
Autor:
Wang, Licheng, Qureshi, Ali Hamza, Sun, Yi, Xu, Xiaokang, Yao, Xiaojing, Zhao, Xinli, He, Ai-Lei, Zhou, Yuan, Zhang, Xiuyun
As the novel topological states, the higher-order topological insulators have attracted great attentions in the past years. However, their realizations in realistic materials, in particular in two dimensional systems, remains the big challenge due to
Externí odkaz:
http://arxiv.org/abs/2407.10432
Global time is a gauge or relational choice of time variable in canonical gravity. Local time is the time used in a flat patch of spacetime. We compare the dynamics of a scalar field with respect to choices of global time and Minkowski patch time in
Externí odkaz:
http://arxiv.org/abs/2407.08283
Autor:
Sayed, Mohamed, Aleotti, Filippo, Watson, Jamie, Qureshi, Zawar, Garcia-Hernando, Guillermo, Brostow, Gabriel, Vicente, Sara, Firman, Michael
Estimating depth from a sequence of posed RGB images is a fundamental computer vision task, with applications in augmented reality, path planning etc. Prior work typically makes use of previous frames in a multi view stereo framework, relying on matc
Externí odkaz:
http://arxiv.org/abs/2406.18387