Zobrazeno 1 - 10
of 52 554
pro vyhledávání: '"Ashraf, P."'
Dual functional radar and communication (DFRC) systems are a viable approach to extend the services of future communication systems. Most studies designing DFRC systems assume that the target direction is known. In our paper, we address a critical sc
Externí odkaz:
http://arxiv.org/abs/2412.07245
Autor:
Sachdeva, Bhuvan, Akash, Naren, Ashraf, Tajamul, Mueller, Simon, Schultz, Thomas, Wintergerst, Maximilian W. M., Prasad, Niharika Singri, Murali, Kaushik, Jain, Mohit
Cataract surgery is the most common surgical procedure globally, with a disproportionately higher burden in developing countries. While automated surgical video analysis has been explored in general surgery, its application to ophthalmic procedures r
Externí odkaz:
http://arxiv.org/abs/2411.16794
Autor:
Ashraf, Md Arsalan, Pullarkat, Pramod
Optical tweezers has emerged as a powerful tool in manipulating microscopic particles and in measuring weak forces of the order of a pico-Newton. As a result, it has found wide applications ranging from material science to biology. Dual-trap optical
Externí odkaz:
http://arxiv.org/abs/2411.16256
Electromyography (EMG) is a measure of muscular electrical activity and is used in many clinical/biomedical disciplines and modern human computer interaction. Myo-electric prosthetics analyze and classify the electrical signals recorded from the resi
Externí odkaz:
http://arxiv.org/abs/2411.15533
Autor:
Awad, Ali, Saleem, Ashraf, Paheding, Sidike, Lucas, Evan, Al-Ratrout, Serein, Havens, Timothy C.
Underwater imagery often suffers from severe degradation that results in low visual quality and object detection performance. This work aims to evaluate state-of-the-art image enhancement models, investigate their impact on underwater object detectio
Externí odkaz:
http://arxiv.org/abs/2411.14626
This paper introduces a real-time Vehicle Collision Avoidance System (V-CAS) designed to enhance vehicle safety through adaptive braking based on environmental perception. V-CAS leverages the advanced vision-based transformer model RT-DETR, DeepSORT
Externí odkaz:
http://arxiv.org/abs/2411.01963
Computer vision researchers have extensively worked on fundamental infrared visual recognition for the past few decades. Among various approaches, deep learning has emerged as the most promising candidate. However, Infrared Small Object Segmentation
Externí odkaz:
http://arxiv.org/abs/2410.22881
Autor:
Johnson, Ted M, Kelahan, Cameron, Mandell, Avi M., Dhahbi, Ashraf, Hammond, Tobi, Barclay, Thomas, Kostov, Veselin B., Villanueva, Geronimo L.
We present the Variable Star PhasE Curve (VSPEC) Collection, a set of Python packages for simulating combined-light spectroscopic observations of 3-dimensional exoplanet atmospheres in the presence of stellar variability and inhomogeneity. VSPEC uses
Externí odkaz:
http://arxiv.org/abs/2410.21190
Detecting temporal changes in geographical landscapes is critical for applications like environmental monitoring and urban planning. While remote sensing data is abundant, existing vision-language models (VLMs) often fail to capture temporal dynamics
Externí odkaz:
http://arxiv.org/abs/2410.19552
The growing use of large language models (LLMs) has raised concerns regarding their safety. While many studies have focused on English, the safety of LLMs in Arabic, with its linguistic and cultural complexities, remains under-explored. Here, we aim
Externí odkaz:
http://arxiv.org/abs/2410.17040