Artificial neural network approach to model sidewall metallization of silicon-based bistable Lateral RF MEMS switch for redundancy applications
Abstract Radio Frequency Micro Electro Mechanical System (RF MEMS) switches are
rapidly evolving due to the demand for low cost, high performance, and compact …
rapidly evolving due to the demand for low cost, high performance, and compact …
Nanoscale modeling of an efficient Carbon Nanotube-based RF switch using XG-Boost machine learning algorithm
P Chaitanya, S Sethuraman, S Kanthamani… - Microsystem …, 2024 - Springer
Abstract Radio Frequency (RF) Nano Electro Mechanical Switches (NEMS) using Carbon
Nanotube (CNTs) are preferred for electronic switching due to its high stiffness, switching …
Nanotube (CNTs) are preferred for electronic switching due to its high stiffness, switching …
Brain Tumor detection from MRI scans using VGG-19 networks
N Siddaiah, C Vignesh, T Narendra… - … on Emerging Trends …, 2022 - ieeexplore.ieee.org
In the planning and quantitative assessment of brain tumors, determining the tumor extent is
a critical challenge. MRI is a non-invasive technology that has emerged as a first-line …
a critical challenge. MRI is a non-invasive technology that has emerged as a first-line …
Classified Volatile Organic Compound Detection using Data Classification Algorithms
JP Chennoju, N Siddiah - Engineering, Technology & Applied Science …, 2024 - etasr.com
Sensors are becoming smaller and less expensive, sparking interest in assessing vast
volumes of sensor data. Meanwhile, the emergence of machine learning has led to the …
volumes of sensor data. Meanwhile, the emergence of machine learning has led to the …