Zobrazeno 1 - 10
of 321
pro vyhledávání: '"Fouda, Mohammed A"'
The growing prevalence and complexity of mental health disorders present significant challenges for accurate diagnosis and treatment, particularly in understanding the interplay between co-occurring conditions. Mental health disorders, such as depres
Externí odkaz:
http://arxiv.org/abs/2412.03796
Recent research efforts focus on reducing the computational and memory overheads of Large Language Models (LLMs) to make them feasible on resource-constrained devices. Despite advancements in compression techniques, non-linear operators like Softmax
Externí odkaz:
http://arxiv.org/abs/2411.17847
Mixed-precision quantization works Neural Networks (NNs) are gaining traction for their efficient realization on the hardware leading to higher throughput and lower energy. In-Memory Computing (IMC) accelerator architectures are offered as alternativ
Externí odkaz:
http://arxiv.org/abs/2411.01417
Designing generalized in-memory computing (IMC) hardware that efficiently supports a variety of workloads requires extensive design space exploration, which is infeasible to perform manually. Optimizing hardware individually for each workload or sole
Externí odkaz:
http://arxiv.org/abs/2410.16759
Large language models have shown promise in various domains, including healthcare. In this study, we conduct a comprehensive evaluation of LLMs in the context of mental health tasks using social media data. We explore the zero-shot (ZS) and few-shot
Externí odkaz:
http://arxiv.org/abs/2409.15687
Object detection is crucial in various cutting-edge applications, such as autonomous vehicles and advanced robotics systems, primarily relying on data from conventional frame-based RGB sensors. However, these sensors often struggle with issues like m
Externí odkaz:
http://arxiv.org/abs/2408.05321
X-ray and electron diffraction-based microscopy use bragg peak detection and ptychography to perform 3-D imaging at an atomic resolution. Typically, these techniques are implemented using computationally complex tasks such as a Psuedo-Voigt function
Externí odkaz:
http://arxiv.org/abs/2404.10689
Automatic Speech Recognition systems have been shown to be vulnerable to adversarial attacks that manipulate the command executed on the device. Recent research has focused on exploring methods to create such attacks, however, some issues relating to
Externí odkaz:
http://arxiv.org/abs/2309.11462
Deep neural networks have been proven to be highly effective tools in various domains, yet their computational and memory costs restrict them from being widely deployed on portable devices. The recent rapid increase of edge computing devices has led
Externí odkaz:
http://arxiv.org/abs/2305.19295
Supercapacitors are mostly recognized for their high power density capabilities and fast response time when compared to secondary batteries. However, computing their power in response to a given excitation using the standard formul{\ae} of capacitors
Externí odkaz:
http://arxiv.org/abs/2301.13078