Subrata Chakraborty, Biswajeet Pradhan
Machine learning (ML) models have experienced remarkable growth in their application for multimodal data analysis over the past decade [...]
Sullivan R. Steele, Rakesh Ranjan, Kata Sharrer, Scott Tsukuda, Christopher Good
Artificial Intelligence (AI) and Machine Learning (ML) can assist producers to better manage recirculating aquaculture systems (RASs). ML is a data-intensive process, and model performance primarily depends on the quality of training data. Relatively higher fish density and water…
Sigfredo Fuentes, Gabriela Chacon, Damir D. Torrico, Andrea Zarate, Claudia Gonzalez Viejo
Cocoa is an important commodity crop, not only to produce chocolate, one of the most complex products from the sensory perspective, but one that commonly grows in developing countries close to the tropics. This paper presents novel techniques applied using cover photography and a…
Jiageng Zhong, Ming Li, Hanqi Zhang, Jiangying Qin
Corals play a crucial role as the primary habitat-building organisms within reef ecosystems, forming expansive structures that extend over vast distances, akin to the way tall buildings define a city’s skyline. However, coral reefs are vulnerable to damage and destruction due to…
Intelligent sensing systems have been fueled to make sense of visual sensory data to handle complex and difficult real-world sense-making challenges due to the rapid growth of computer vision and machine learning technologies [...]
Marian Marcel Abagiu, Dorian Cojocaru, Florin Manta, Alexandru Mariniuc
This paper describes the implementation of a solution for detecting the machining defects from an engine block, in the piston chamber. The solution was developed for an automotive manufacturer and the main goal of the implementation is the replacement of the visual inspection per…
Lujan E. Huamanga-Chumbes, Erwin J. Sacoto-Cabrera, Jaime Lloret, Vinie Lee Silva-Alvarado, Alfz Huicho-Mendigure, Edison Moreno-Cardenas
Neonatal health requires precise lipid quantification in human milk to ensure proper nutritional development. Traditional manual methods, such as the creamatocrit, are limited by human-induced bias and significant measurement uncertainty. This study presents a low-cost Computer V…