Zobrazeno 1 - 10
of 50 591
pro vyhledávání: '"ZAIDI, A."'
Publikováno v:
Social Network Analysis and Mining 13.1 (2023): 125
Cities are widely considered the lifeblood of a nations economy housing the bulk of industries, commercial and trade activities, and employment opportunities. Within this economic context, multinational corporations play an important role in this eco
Externí odkaz:
http://arxiv.org/abs/2412.02833
Autor:
Dhar, Joy, Zaidi, Nayyar, Haghighat, Maryam, Goyal, Puneet, Roy, Sudipta, Alavi, Azadeh, Kumar, Vikas
Publikováno v:
IEEE/CVF Winter Conference on Applications of Computer Vision WACV 2025
Multimodal fusion learning has shown significant promise in classifying various diseases such as skin cancer and brain tumors. However, existing methods face three key limitations. First, they often lack generalizability to other diagnosis tasks due
Externí odkaz:
http://arxiv.org/abs/2412.01248
6G's AI native vision of embedding advance intelligence in the network while bringing it closer to the user requires a systematic evaluation of Generative AI (GenAI) models on edge devices. Rapidly emerging solutions based on Open RAN (ORAN) and Netw
Externí odkaz:
http://arxiv.org/abs/2411.17712
Autor:
Zaidi, Kumail, Wake, David A., Marchesini, Danilo, Iyer, Kartheik, Muzzin, Adam, Papovich, Casey, Antwi-Danso, Jacqueline, Glazebrook, Karl, Labbé, Ivo
We present a comprehensive analysis of the observed Stellar-to-Halo mass relationship (SHMR) spanning redshifts from 0.2 to 4.5. This was enabled through galaxy clustering and abundance measurements from two large (effective area ~ 1.61 deg^2) and ho
Externí odkaz:
http://arxiv.org/abs/2411.04256
Autor:
Manalastas, Marvin, Farooq, Muhammad Umar Bin, Zaidi, Syed Muhammad Asad, Qureshi, Haneya Naeem, Sambo, Yusuf, Imran, Ali
Simulators are indispensable parts of the research and development necessary to advance countless industries, including cellular networks. With simulators, the evaluation, analysis, testing, and experimentation of novel designs and algorithms can be
Externí odkaz:
http://arxiv.org/abs/2411.08907
Autor:
Alrashedy, Kamel, Tambwekar, Pradyumna, Zaidi, Zulfiqar, Langwasser, Megan, Xu, Wei, Gombolay, Matthew
Generative AI has transformed the fields of Design and Manufacturing by providing efficient and automated methods for generating and modifying 3D objects. One approach involves using Large Language Models (LLMs) to generate Computer- Aided Design (CA
Externí odkaz:
http://arxiv.org/abs/2410.05340
In this paper, we propose a novel and generalizable zero-shot knowledge transfer framework that distills expert sports navigation strategies from web videos into robotic systems with adversarial constraints and out-of-distribution image trajectories.
Externí odkaz:
http://arxiv.org/abs/2409.19771
Autor:
Lee, Kin Man, Ye, Sean, Xiao, Qingyu, Wu, Zixuan, Zaidi, Zulfiqar, D'Ambrosio, David B., Sanketi, Pannag R., Gombolay, Matthew
Advances in robot learning have enabled robots to generate skills for a variety of tasks. Yet, robot learning is typically sample inefficient, struggles to learn from data sources exhibiting varied behaviors, and does not naturally incorporate constr
Externí odkaz:
http://arxiv.org/abs/2409.15528
We give a refined description of the dominant spectrum of a non-local operator that models growth and equal mitosis of cells. More precisely we look at the spectrum in half planes at the right hand side of the first accumulation point of eigenvalues
Externí odkaz:
http://arxiv.org/abs/2409.14903
In this work, we study the charged current induced neutrino and antineutrino scattering from the free nucleon target. This study has been performed in the energy range of a few GeV, relevant for the (anti)neutrino oscillation experiments with acceler
Externí odkaz:
http://arxiv.org/abs/2409.14732