Zobrazeno 1 - 10
of 390 416
pro vyhledávání: '"A. A. Abdullah"'
Publikováno v:
Applications of Modelling and Simulation, Vol 8, Pp 213-224 (2024)
This study focuses on the crucial need for effective control strategies design for linear electromechanical actuators (EMA), which are essential components in industrial automation. While the PI controller is commonly used due to its simplicity and v
Externí odkaz:
https://doaj.org/article/2c56669aafdb425ab3bab59c4b3b1a2c
The integration of machine learning into smart grid systems represents a transformative step in enhancing the efficiency, reliability, and sustainability of modern energy networks. By adding advanced data analytics, these systems can better manage th
Externí odkaz:
http://arxiv.org/abs/2410.15423
In urban environments, parking has proven to be a significant source of congestion and inefficiency. In this study, we propose a methodology that offers a systematic solution to minimize the time spent by drivers in finding parking spaces. Drawing in
Externí odkaz:
http://arxiv.org/abs/2411.17014
This paper presents a robotic in-hand manipulation technique that can be applied to pick an object too large to grasp in a prehensile manner, by taking advantage of its contact interactions with a curved, passive end-effector, and two flat support su
Externí odkaz:
http://arxiv.org/abs/2411.16055
We study the application of emerging chiplet-based Neural Processing Units to accelerate vehicular AI perception workloads in constrained automotive settings. The motivation stems from how chiplets technology is becoming integral to emerging vehicula
Externí odkaz:
http://arxiv.org/abs/2411.16007
Autor:
Imanpour, Nasrin, Bajpai, Shashwat, Ghosh, Subhankar, Sankepally, Sainath Reddy, Borah, Abhilekh, Abdullah, Hasnat Md, Kosaraju, Nishoak, Dixit, Shreyas, Aziz, Ashhar, Biswas, Shwetangshu, Jain, Vinija, Chadha, Aman, Sheth, Amit, Das, Amitava
The proliferation of AI techniques for image generation, coupled with their increasing accessibility, has raised significant concerns about the potential misuse of these images to spread misinformation. Recent AI-generated image detection (AGID) meth
Externí odkaz:
http://arxiv.org/abs/2411.16754
This paper investigates whether large language models (LLMs) show agreement in assessing creativity in responses to the Alternative Uses Test (AUT). While LLMs are increasingly used to evaluate creative content, previous studies have primarily focuse
Externí odkaz:
http://arxiv.org/abs/2411.15560
Autor:
Sayyid-Ali, Abdur-Rahman Ibrahim, Rafay, Abdul, Soomro, Muhammad Abdullah, Alizai, Muhammad Hamad, Bhatti, Naveed Anwar
Batteryless IoT systems face energy constraints exacerbated by checkpointing overhead. Approximate computing offers solutions but demands manual expertise, limiting scalability. This paper presents CheckMate, an automated framework leveraging LLMs fo
Externí odkaz:
http://arxiv.org/abs/2411.17732
Autor:
Held, Jan, Vandeghen, Renaud, Hamdi, Abdullah, Deliege, Adrien, Cioppa, Anthony, Giancola, Silvio, Vedaldi, Andrea, Ghanem, Bernard, Van Droogenbroeck, Marc
Recent advances in radiance field reconstruction, such as 3D Gaussian Splatting (3DGS), have achieved high-quality novel view synthesis and fast rendering by representing scenes with compositions of Gaussian primitives. However, 3D Gaussians present
Externí odkaz:
http://arxiv.org/abs/2411.14974
Graph analytics are vital in fields such as social networks, biomedical research, and graph neural networks (GNNs). However, traditional CPUs and GPUs struggle with the memory bottlenecks caused by large graph datasets and their fine-grained memory a
Externí odkaz:
http://arxiv.org/abs/2411.14554