AIMC Topic: Dehydration
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Recent Advancements in Wearable Hydration-Monitoring Technologies: Scoping Review of Sensors, Trends, and Future Directions.
JMIR mHealth and uHealth
Jun 13, 2025
BACKGROUND: Monitoring hydration is crucial for maintaining health and preventing dehydration. Despite the potential of wearable devices for continuous hydration monitoring, health research hasn't fully explored this application, and clear design gui...
Water intake, hydration status and cognitive functions in older adults - a pilot study.
European journal of nutrition
May 9, 2025
PURPOSE: This study aimed to assess the relationship between the hydration status and cognitive functioning of older adults. The novelty of the study was the simultaneous use of several indicators of hydration status, including plasma and urine osmol...
Evaluation of crop water stress index of wheat by using machine learning models.
Environmental monitoring and assessment
Sep 23, 2024
The Crop Water Stress Index (CWSI), a pivotal indicator derived from canopy temperature, plays a crucial role in irrigation scheduling for water conservation in agriculture. This study focuses on determining CWSI (by empirical method) for wheat crops...
Optimization of computational intelligence approach for the prediction of glutinous rice dehydration.
Journal of the science of food and agriculture
Mar 22, 2024
BACKGROUND: Five computational intelligence approaches, namely Gaussian process regression (GPR), artificial neural network (ANN), decision tree (DT), ensemble of trees (EoT) and support vector machine (SVM), were used to describe the evolution of mo...
Automated Fluid Intake Detection Using RGB Videos.
Sensors (Basel, Switzerland)
Sep 7, 2022
Dehydration is a common, serious issue among older adults. It is important to drink fluid to prevent dehydration and the complications that come with it. As many older adults forget to drink regularly, there is a need for an automated approach, track...
Optimization of dewatering process of concentrate pressure filtering by support vector regression.
Scientific reports
May 17, 2022
This work studies the mechanism and optimization methods of the filter press dehydration process to better improve the efficiency of the concentrate filter press dehydration operation. Machine learning (ML) models of radial basis function (RBF)-OLS, ...
HortNet417v1-A Deep-Learning Architecture for the Automatic Detection of Pot-Cultivated Peach Plant Water Stress.
Sensors (Basel, Switzerland)
Nov 27, 2021
The biggest challenge in the classification of plant water stress conditions is the similar appearance of different stress conditions. We introduce HortNet417v1 with 417 layers for rapid recognition, classification, and visualization of plant stress ...
Hydration Status and Fluid Replacement Strategies of High-Performance Adolescent Athletes: An Application of Machine Learning to Distinguish Hydration Characteristics.
Nutrients
Nov 15, 2021
There are limited data on the fluid balance characteristics and fluid replenishment behaviors of high-performance adolescent athletes. The heterogeneity of hydration status and practices of adolescent athletes warrant efficient approaches to individu...
Effects of a 14-Day Hydration Intervention on Individuals with Habitually Low Fluid Intake.
Annals of nutrition & metabolism
Mar 29, 2021
BACKGROUND: Debate continues over whether or not individuals with low total water intake (TWI) are in a chronic fluid deficit (i.e., low total body water) [1 ]. When women with habitually low TWI (1.6 ± 0.5 L/da...
Mild Dehydration Identification Using Machine Learning to Assess Autonomic Responses to Cognitive Stress.
Nutrients
Dec 23, 2019
The feasibility of detecting mild dehydration by using autonomic responses to cognitive stress was studied. To induce cognitive stress, subjects ( = 17) performed the Stroop task, which comprised four minutes of rest and four minutes of test. Nine in...
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