Systematic meta-analysis of computer-aided detection to detect early esophageal cancer using hyperspectral imaging

WC Liao, A Mukundan, C Sadiaza, YM Tsao… - Biomedical Optics …, 2023 - opg.optica.org
One of the leading causes of cancer deaths is esophageal cancer (EC) because identifying
it in early stage is challenging. Computer-aided diagnosis (CAD) could detect the early …

A densely connected causal convolutional network separating past and future data for filling missing PM2. 5 time series data

P Yuan, Y Jiao, J Li, Y Xia - Heliyon, 2024 - cell.com
Air pollution poses a significant threat to human health and the environment globally.
Precise analysis and prediction of pollutant concentrations are essential for monitoring and …

Evaluation of Spectrum-Aided Visual Enhancer (SAVE) in Esophageal Cancer Detection Using YOLO Frameworks

CK Chou, R Karmakar, YM Tsao, LW Jie, A Mukundan… - Diagnostics, 2024 - mdpi.com
The early detection of esophageal cancer presents a substantial difficulty, which contributes
to its status as a primary cause of cancer-related fatalities. This study used You Only Look …

Novel Design of a Sweeping 6-Degree of Freedom Lunar Penetrating Radar

A Mukundan, A Patel, KD Saraswat, A Tomar… - AIAA AVIATION 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-4124. vid Our knowledge about the
way the highlands located on the far side of the lunar surface were formed and the …

Spriallift Mechanism Based Drill for Deep Subsurface Lunar Exploration

A Mukundan, A Patel, KD Saraswat, A Tomar… - AIAA AVIATION 2023 …, 2023 - arc.aiaa.org
View Video Presentation: https://doi. org/10.2514/6.2023-4123. vid Because of the 13-
degree inclination of the Moon, our knowledge and comprehension of the permanently …

[HTML][HTML] Evaluation of Band Selection for Spectrum-Aided Visual Enhancer (SAVE) for Esophageal Cancer Detection

YC Chen, R Karmakar, A Mukundan… - Journal of …, 2025 - pmc.ncbi.nlm.nih.gov
Band selection is a common approach to reduce the data dimensionality of hyperspectral
imagery. It extracts several bands of importance in some sense by taking advantage of high …

Edge-cloud computing cooperation detection of dust concentration for risk warning research

Q Su, H Wang, H Zhao, Y Chu, J Li, X Lyu… - Journal of Cloud …, 2024 - Springer
An edge-cloud computing collaborative dust concentration detection architecture is
proposed for real-time operation of intelligent algorithms to reduce the warning delay. And …

Design of a Foldable Laser-Based Energy Transmission System for a Mini Lunar Rover

A Mukundan, A Patel, KD Saraswat… - 2023 3rd …, 2023 - ieeexplore.ieee.org
The Lunar far side is a relatively untouched landmass that constitutes a very distinctive
scientific arena. Even though there are many interesting particulars on the far side, finding …

Detection of Air Pollution using Hyperspectral Imaging

R Karmakar, A Mukundan, YM Tsao, SC Lu… - Conference on Lasers …, 2024 - opg.optica.org
This study employed novel hyperspectral imaging (HSI) algorithm to quantify air pollution
through spectral analysis of particulate matter (PM2. 5) images. Two models, HSI-3DCNN …

Early esophageal detection using hyperspectral engineering and convolutional neural network

A Mukundan, YM Tsao… - Optics in Health Care and …, 2023 - spiedigitallibrary.org
The current article introduces an innovative methodology for the categorization and
identification of esophageal cancer through the utilization of hyperspectral imaging (HSI) …