Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Banad, Yaser"'
Achieving reliable resistive switching in oxide-based memristive devices requires precise control over conductive filament (CF) formation and behavior, yet the fundamental relationship between oxide material properties and switching uniformity remain
Externí odkaz:
http://arxiv.org/abs/2412.12450
Enhancing power efficiency and performance in neuromorphic computing systems is critical for next-generation artificial intelligence applications. We propose the Nanoscale Side-contacted Field Effect Diode (S-FED), a novel solution that significantly
Externí odkaz:
http://arxiv.org/abs/2412.12443
Recent advances in multi-agent systems manipulation have demonstrated a rising demand for the implementation of multi-UAV systems in urban areas which are always subjected to the presence of static and dynamic obstacles. The focus of the presented re
Externí odkaz:
http://arxiv.org/abs/2412.12437
This paper presents a memristor-based compute-in-memory hardware accelerator for on-chip training and inference, focusing on its accuracy and efficiency against device variations, conductance errors, and input noise. Utilizing realistic SPICE models
Externí odkaz:
http://arxiv.org/abs/2408.14680
This paper presents a comparative study of sampling methods within the FedHome framework, designed for personalized in-home health monitoring. FedHome leverages federated learning (FL) and generative convolutional autoencoders (GCAE) to train models
Externí odkaz:
http://arxiv.org/abs/2406.01950
State estimation of nonlinear dynamical systems has long aimed to balance accuracy, computational efficiency, robustness, and reliability. The rapid evolution of various industries has amplified the demand for estimation frameworks that satisfy all t
Externí odkaz:
http://arxiv.org/abs/2405.08392
This paper introduces tunable and switchable Perfect Absorbers (PAs) operating within the mid-infrared spectrum, specifically targeting the 3 to 5 um range at 0.25 um intervals. This spectrum is engineered for minimal atmospheric absorption and uniqu
Externí odkaz:
http://arxiv.org/abs/2404.18425
This paper presents a novel cloud-edge framework for addressing computational and energy constraints in complex control systems. Our approach centers around a learning-based controller using Spiking Neural Networks (SNN) on physical plants. By integr
Externí odkaz:
http://arxiv.org/abs/2405.02316
This analytical solution, based on Goldak's Semi-Ellipsoidal Heat Source model, captures the dynamic temperature evolution from a semi-ellipsoidal power density moving heat source within a semi-infinite body. It tackles the convection-diffusion heat
Externí odkaz:
http://arxiv.org/abs/2404.08834
Autor:
Banad, Yaser M., Hasan, Syed Mohammad Abid, Sharif, Sarah S., Veronis, Georgios, Gartia, Manas Ranjan
Whispering gallery mode (WGM) resonators are garnering significant attention due to their unique characteristics and remarkable properties. When integrated with optical sensing and processing technology, WGM resonators offer numerous advantages, incl
Externí odkaz:
http://arxiv.org/abs/2310.03931