AIMC Topic: Aluminum Oxide
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Multigas Identification by Temperature-Modulated Operation of a Single Anodic Aluminum Oxide Gas Sensor Platform and Deep Learning Algorithm.
ACS sensors
Jan 20, 2025
Semiconductor metal oxide (SMO) gas sensors are gaining prominence owing to their high sensitivity, rapid response, and cost-effectiveness. These sensors detect changes in resistance resulting from oxidation-reduction reactions with target gases, res...
Machine learning and regression in the management of runoff in bauxite mines under rehabilitation.
Environmental science and pollution research international
Dec 2, 2024
Accurate and reliable forecasting of monthly runoff considering several years of rehabilitation helps in planning and managing the water resources system of bauxite mining areas. A combination of linear regression models and artificial intelligence w...
Artificial Neural Network analysis on the effect of mixed convection in triangular-shaped geometry using water-based Al2O3 nanofluid.
PloS one
Sep 13, 2024
The objective of the study is to investigate the fluid flow and heat transfer characteristics applying Artificial Neural Networks (ANN) analysis in triangular-shaped cavities for the analysis of magnetohydrodynamics (MHD) mixed convection with varyin...
Deep-learning-based pyramid-transformer for localized porosity analysis of hot-press sintered ceramic paste.
PloS one
Sep 4, 2024
Scanning Electron Microscope (SEM) is a crucial tool for studying microstructures of ceramic materials. However, the current practice heavily relies on manual efforts to extract porosity from SEM images. To address this issue, we propose PSTNet (Pyra...
Hepatic enzymes and immunoinflammatory response to Bio-C Temp bioceramic intracanal medication implanted into the subcutaneous tissue of rats.
Scientific reports
Feb 18, 2022
Our purpose was to evaluate the biocompatibility and hepatotoxicity of a new bioceramic intracanal medicament, Bio-C Temp (BIO). The biological properties of BIO were compared with calcium hydroxide-based intracanal medicament (Calen; CAL), used as g...
Sorptive equilibrium profile of fluoride onto aluminum olivine [(FeMg)SiO] composite (AOC): Physicochemical insights and isotherm modeling by non-linear least squares regression and a novel neural-network-based method.
Journal of environmental science and health. Part A, Toxic/hazardous substances & environmental engineering
Jun 5, 2018
A novel aluminum/olivine composite (AOC) was prepared by wet impregnation followed by calcination and was introduced as an efficient adsorbent for defluoridation. The adsorption of fluoride was modeled with one-, two- and three-parameter isotherm equ...
A robotic magnetic nanoparticle solid phase extraction system coupled to flow-batch analyzer and GFAAS for determination of trace cadmium in edible oils without external pretreatment.
Talanta
Sep 23, 2017
A lab-made magnetic-mechanical robotic (MMR) system coupled to a flow-batch analyzer (FBA) for magnetic nanoparticles solid phase extraction (MSPE) is presented. As an illustrative application, an NMR-FBA couple was connected to a graphite furnace at...
Usage of neural network to predict aluminium oxide layer thickness.
TheScientificWorldJournal
Apr 2, 2015
This paper shows an influence of chemical composition of used electrolyte, such as amount of sulphuric acid in electrolyte, amount of aluminium cations in electrolyte and amount of oxalic acid in electrolyte, and operating parameters of process of an...
Natural AlO Nanodielectric-Based Flexible Sensor with Triple Insensitivity for Healthcare and Robotics.
ACS applied materials & interfaces
May 21, 2025
Flexible pressure sensors are critical for advanced systems such as electronic skins and human-machine interaction. Among them, ionic capacitive pressure sensors have attracted widespread attention due to their exceptional flexibility and sensitivity...
RRAM-based synapse devices for neuromorphic systems.
Faraday discussions
Feb 18, 2019
Hardware artificial neural network (ANN) systems with high density synapse array devices can perform massive parallel computing for pattern recognition with low power consumption. To implement a neuromorphic system with on-chip training capability, w...
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