Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Abrar Murad"'
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
Conducting efficient and effective user experience (UX) interviews often poses challenges, such as maintaining focus on key topics and managing the duration of interviews and post-interview analyses. To address these issues, this paper introduces Ins
Externí odkaz:
http://arxiv.org/abs/2410.00036
Autor:
Abrar, Murad Mehrab, Youssef, Amal, Islam, Raian, Satam, Shalaka, Latibari, Banafsheh Saber, Hariri, Salim, Shao, Sicong, Salehi, Soheil, Satam, Pratik
Autonomous Vehicles (AVs) heavily rely on sensors and communication networks like Global Positioning System (GPS) to navigate autonomously. Prior research has indicated that networks like GPS are vulnerable to cyber-attacks such as spoofing and jammi
Externí odkaz:
http://arxiv.org/abs/2405.08359
Autor:
Abrar, Murad Mehrab, Hariri, Salim
As a rapidly growing cyber-physical platform, Autonomous Vehicles (AVs) are encountering more security challenges as their capabilities continue to expand. In recent years, adversaries are actively targeting the perception sensors of autonomous vehic
Externí odkaz:
http://arxiv.org/abs/2310.05041
Autor:
Rahman, Mohammad Wali Ur, Abrar, Murad Mehrab, Copening, Hunter Gibbons, Hariri, Salim, Shao, Sicong, Satam, Pratik, Salehi, Soheil
Large-scale transformer-based models like the Bidirectional Encoder Representations from Transformers (BERT) are widely used for Natural Language Processing (NLP) applications, wherein these models are initially pre-trained with a large corpus with m
Externí odkaz:
http://arxiv.org/abs/2310.03971
Autor:
Sarah AlMutairi, Noor AlNasser, Sarah AlMeea, Abrar Murad, Ilkan Sarigol, Rifat Gürcan Özdemir, Aseel Naqi
Publikováno v:
International Journal of Production Economics. 239:108188
The main motivation behind the improvement of manufacturing systems is that they are competing for a larger share and better image in the market. Many manufacturing systems, particularly those with repetitive products, utilize assembly lines for the