Zobrazeno 1 - 10
of 5 050
pro vyhledávání: '"P Johari"'
Digital health interventions (DHIs) and remote patient monitoring (RPM) have shown great potential in improving chronic disease management through personalized care. However, barriers like limited efficacy and workload concerns hinder adoption of exi
Externí odkaz:
http://arxiv.org/abs/2411.17570
In this report, the optical properties of Ta doped SrTiO3 (STO) due to its potential in transparent conducting oxides (TCOs) is explored by a combination of theoretical studies based on density functional theory and spectroscopic ellipsometry. To ach
Externí odkaz:
http://arxiv.org/abs/2411.15023
Autor:
Farhansyah, Mohammad Rifqi, Johari, Muhammad Zuhdi Fikri, Amiral, Afinzaki, Purwarianti, Ayu, Yuana, Kumara Ari, Wijaya, Derry Tanti
Indonesia is one of the most diverse countries linguistically. However, despite this linguistic diversity, Indonesian languages remain underrepresented in Natural Language Processing (NLP) research and technologies. In the past two years, several eff
Externí odkaz:
http://arxiv.org/abs/2411.09318
Lead-free perovskite materials have emerged as key players in optoelectronics, showcasing exceptional optical and electronic properties, alongside being environmentally friendly and non-toxic elements. Recently, among studied perovskite materials, va
Externí odkaz:
http://arxiv.org/abs/2411.08528
The wireless spectrum's increasing complexity poses challenges and opportunities, highlighting the necessity for real-time solutions and robust data processing capabilities. Digital Twin (DT), virtual replicas of physical systems, integrate real-time
Externí odkaz:
http://arxiv.org/abs/2411.03503
Autor:
Saeizadeh, Ali, del Prever, Pietro Brach, Schonholtz, Douglas, Guida, Raffaele, Demirors, Emrecan, Jimenez, Jorge M., Johari, Pedram, Melodia, Tommaso
This demo presents SeizNet, an innovative system for predicting epileptic seizures benefiting from a multi-modal sensor network and utilizing Deep Learning (DL) techniques. Epilepsy affects approximately 65 million people worldwide, many of whom expe
Externí odkaz:
http://arxiv.org/abs/2411.05817
Autor:
Saeizadeh, Ali, Tehrani-Moayyed, Miead, Villa, Davide, Beattie Jr., J. Gordon, Wong, Ian C., Johari, Pedram, Anderson, Eric W., Basagni, Stefano, Melodia, Tommaso
Accurate channel modeling in real-time faces remarkable challenge due to the complexities of traditional methods such as ray tracing and field measurements. AI-based techniques have emerged to address these limitations, offering rapid, precise predic
Externí odkaz:
http://arxiv.org/abs/2410.22437
This paper introduces an innovative framework designed for progressive (granular in time to onset) prediction of seizures through the utilization of a Deep Learning (DL) methodology based on non-invasive multi-modal sensor networks. Epilepsy, a debil
Externí odkaz:
http://arxiv.org/abs/2410.20066
We consider a retailer running a switchback experiment for the price of a single product, with infinite supply. In each period, the seller chooses a price $p$ from a set of predefined prices that consist of a reference price and a few discounted pric
Externí odkaz:
http://arxiv.org/abs/2410.14904
This paper investigates decision-making in A/B experiments for online platforms and marketplaces. In such settings, due to constraints on inventory, A/B experiments typically lead to biased estimators because of interference; this phenomenon has been
Externí odkaz:
http://arxiv.org/abs/2410.06580