AIMC Topic: Water
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Accurate low and high grade glioma classification using free water eliminated diffusion tensor metrics and ensemble machine learning.
Scientific reports
Aug 27, 2024
Glioma, a predominant type of brain tumor, can be fatal. This necessitates an early diagnosis and effective treatment strategies. Current diagnosis is based on biopsy, prompting the need for non invasive neuroimaging alternatives. Diffusion tensor im...
Rapid estimation of soil water content based on hyperspectral reflectance combined with continuous wavelet transform, feature extraction, and extreme learning machine.
PeerJ
Aug 22, 2024
BACKGROUND: Soil water content is one of the critical indicators in agricultural systems. Visible/near-infrared hyperspectral remote sensing is an effective method for soil water estimation. However, noise removal from massive spectral datasets and e...
Estimation of 100 m root zone soil moisture by downscaling 1 km soil water index with machine learning and multiple geodata.
Environmental monitoring and assessment
Aug 19, 2024
Root zone soil moisture (RZSM) is crucial for agricultural water management and land surface processes. The 1 km soil water index (SWI) dataset from Copernicus Global Land services, with eight fixed characteristic time lengths (T), requires root zone...
Neural Network Based Aliasing Spectral Decoupling Algorithm for Precise Mid-Infrared Multicomponent Gases Sensing.
ACS sensors
Aug 16, 2024
Owing to the overlapping and cross-interference of absorption lines in multicomponent gases, the simultaneous measurement of such gases via laser absorption spectroscopy frequently necessitates the use of supplementary pressure sensors to distinguish...
Production of high calorific value hydrogen-rich combustible gas by supercritical water gasification of straw assisted by machine learning.
Bioresource technology
Aug 14, 2024
This article reveals the basic laws of straw supercritical water gasification (SCWG) and provides basic experimental data for the effective utilization of straw. The paper studied the impact of three operational conditions on the production of high-c...
Predicting the pulse of urban water demand: a machine learning approach to deciphering meteorological influences.
BMC research notes
Aug 9, 2024
OBJECTIVE: This study delves into the impact of urban meteorological elements-specifically, air temperature, relative humidity, and atmospheric pressure-on water consumption in Kamyaran city. Data on urban water consumption, temperature (in Celsius),...
Spatially Resolved Uncertainties for Machine Learning Potentials.
Journal of chemical information and modeling
Aug 7, 2024
Machine learning potentials have become an essential tool for atomistic simulations, yielding results close to ab initio simulations at a fraction of computational cost. With recent improvements on the achievable accuracies, the focus has now shifted...
Design of a bipedal robot for water running based on a six-linkage mechanism inspired by basilisk lizards.
Bioinspiration & biomimetics
Aug 5, 2024
Legged robots have received widespread attention in academia and engineering owing to their excellent terrain adaptability. However, most legged robots can only adapt to high-hardness environments instead of flexible environments. Expanding the motio...
Deep-Learning-Guided Electrochemical Impedance Spectroscopy for Calibration-Free Pharmaceutical Moisture Content Monitoring.
ACS sensors
Aug 3, 2024
The moisture content of pharmaceutical powders can significantly impact the physical and chemical properties of drug formulations, solubility, flowability, and stability. However, current technologies for measuring moisture content in pharmaceutical ...
Basic research for identification and classification of organophosphorus pesticides in water based on ultraviolet-visible spectroscopy information.
Environmental science and pollution research international
Jul 8, 2024
In this study, the goal was to develop a method for detecting and classifying organophosphorus pesticides (OPPs) in bodies of water. Sixty-five samples with different concentrations were prepared for each of the organophosphorus pesticides, namely ch...
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