Hasil untuk "cs.OS"

Nur Aina’a Mardhiah Zainuddin, Zulzilawati Jusoh, Mohamad Hafiz Mamat et al.

Edward R. Lovejoy, A. R. Ravishankara, Carleton J. Howard

AbstractThe yield of 16OS18O from the 18OH initiated oxidation of CS2 in 16O2 was measured by using a discharge flow reactor coupled to a chemical ionization mass spectrometer. 16OS18O is the dominant SO2 isotopomer produced with a yield of 0.90 ± 0.20 relative to 18OH loss. The errors are estimates for the uncertainty at the 95% confidence level. The implications of these results to the understanding of the CS2 oxidation mechanism are discussed. © 1994 John Wiley & Sons, Inc.This article is a US Government work and, as such, is in the public domain in the United States of America.

Tiffany L. Correll, Vlasta Horvatic, Nicoló Omenetto et al.

K. Kov�cs, B. M. Kov�cs, G. S. Kov�cs et al.

1. Cs-iot,Qis Collage of Engineering and Technology,Ongole,India., E. Suresh, E. Dhanasri et al.

The transition to sixth- generation (6G) communication networks is unlocking new horizons for applications including immersive extended reality, autonomous mobility, holographic telepresence, and massive Internet of Things (IoT). Such demands can be addressed with antenna systems that provide increased efficiency, faster agility, and consistent performance across difficult environments. Conventional design techniques, although successful in previous generations, are increasingly constricted when dealing with the intricacy of multi-band, reconfigurable, and high-frequency antennas. Here, we discuss how artificial intelligence (AI) can transform the antenna design process. With the integration of data-driven learning and physics-driven understanding, AI methods such as machine learning and reinforcement learning can accelerate design cycles, enhance precision, and optimize factors such as gain, beamforming, and radiation patterns. We also present case studies at millimeter-wave (mmWave) and terahertz (THz) frequencies that show quantifiable improvements over traditional methods. The research indicates that AI-based approaches not only improve performance but also offer adaptable and scalable solutions that best fit the changing demands of 6G and beyond.

Jacques Wainberg

Cleibson Rodrigues CALDAS, Fabio COLINS

Felix Heiner, Björn Feistel, Michael Wink

Marcela Abadía

Rodolfo Andrés Villarreal Pazos

En este artículo se examina el grado de conocimiento y usabilidad del transporte público tradicional por parte de la comunidad, al igual que la necesidad de un una herramienta tecnológica como guía para el mismo. Con el objetivo de diseñar una aplicación móvil (app), como solución al transporte público de Neiva, y así fortalecer el SETP (Sistema Estratégico de Transporte Publico), en la comunidad Huilense; así como también, determinar la necesidad de una herramienta comunicativa.

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CS Madgaonkar

S.I. Denisov, A.N. Yunda