Zobrazeno 1 - 10
of 46 887
pro vyhledávání: '"As, Murad"'
Autor:
Purbey, Jebish, Sharma, Drishti, Gupta, Siddhant, Murad, Khawaja, Pullakhandam, Siddartha, Kadiyala, Ram Mohan Rao
This paper presents the system description of our entry for the COLING 2025 RegNLP RIRAG (Regulatory Information Retrieval and Answer Generation) challenge, focusing on leveraging advanced information retrieval and answer generation techniques in reg
Externí odkaz:
http://arxiv.org/abs/2412.06009
Reinforcement learning (RL) has been successfully applied to a variety of robotics applications, where it outperforms classical methods. However, the safety aspect of RL and the transfer to the real world remain an open challenge. A prominent field f
Externí odkaz:
http://arxiv.org/abs/2412.04153
Publikováno v:
Europhysics Letters, 141(6), 64002 (2023)
This work focuses on the study of identified hadrons and strange hadrons, recorded by CMS, and light nuclei and their anti-nuclei, recorded by ALICE, at 0.9 TeV, 2.76 TeV, 7 TeV and 13 TeV centre of mass energies in pp collision at mid rapidities. Th
Externí odkaz:
http://arxiv.org/abs/2411.08669
Publikováno v:
Physica Scripta, 98(11), 115306 (2023)
This article focuses on the study of strange hadrons at 0.2 TeV centre of mass energy, recorded by STAR at RHIC, and at 0.9 TeV, 5.02 TeV and 7 TeV, recorded by CMS at LHC, in pp collision in the rapidity range from 0 to 2. The transverse momentum di
Externí odkaz:
http://arxiv.org/abs/2411.08655
Vision Transformers (ViT) have recently brought a new wave of research in the field of computer vision. These models have done particularly well in the field of image classification and segmentation. Research on semantic and instance segmentation has
Externí odkaz:
http://arxiv.org/abs/2411.09101
Publikováno v:
Geophysics (2021): 1-102
Seismic data inevitably suffers from random noise and missing traces in field acquisition. This limits the utilization of seismic data for subsequent imaging or inversion applications. Recently, dictionary learning has gained remarkable success in se
Externí odkaz:
http://arxiv.org/abs/2411.05956
Autor:
Morshed, Abrar, Shihab, Abdulla Al, Jahin, Md Abrar, Nahian, Md Jaber Al, Sarker, Md Murad Hossain, Wadud, Md Sharjis Ibne, Uddin, Mohammad Istiaq, Siraji, Muntequa Imtiaz, Anjum, Nafisa, Shristy, Sumiya Rajjab, Rahman, Tanvin, Khatun, Mahmuda, Dewan, Md Rubel, Hossain, Mosaddeq, Sultana, Razia, Chakma, Ripel, Emon, Sonet Barua, Islam, Towhidul, Hussain, Mohammad Arafat
The COVID-19 pandemic has affected millions of people globally, with respiratory organs being strongly affected in individuals with comorbidities. Medical imaging-based diagnosis and prognosis have become increasingly popular in clinical settings for
Externí odkaz:
http://arxiv.org/abs/2411.05029
This paper presents a Sim2Real (Simulation to Reality) approach to bridge the gap between a trained agent in a simulated environment and its real-world implementation in navigating a robot in a similar setting. Specifically, we focus on navigating a
Externí odkaz:
http://arxiv.org/abs/2411.03494
This paper presents a threshold-based automated pea weevil detection system, developed as part of the Microsoft FarmVibes project. Based on Internet-of-Things (IoT) and computer vision, the system is designed to monitor and manage pea weevil populati
Externí odkaz:
http://arxiv.org/abs/2410.19813
Autor:
Ali, Sarwan, Murad, Taslim, Chourasia, Prakash, Mansoor, Haris, Khan, Imdad Ullah, Chen, Pin-Yu, Patterson, Murray
Understanding the structural and functional characteristics of proteins are crucial for developing preventative and curative strategies that impact fields from drug discovery to policy development. An important and popular technique for examining how
Externí odkaz:
http://arxiv.org/abs/2410.12655