Results 81 to 90 of about 3,763 (235)

Adaptive Boosting Based Personalized Glucose Monitoring System (PGMS) for Non-Invasive Blood Glucose Prediction with Improved Accuracy

, 2020
In this paper, we present an architecture of a personalized glucose monitoring system (PGMS). PGMS consists of both invasive and non-invasive sensors on a single device.
Mudasar Latif Memon, Dong Ryeol Shin, Pradeep Kumar Anand   +2 more
core   +1 more source

Recent Developments in Personal Glucose Meters as Point-of-Care Testing Devices (2020–2024)

Biosensors
Point-of-care testing (POCT) is a contemporary diagnostic approach characterized by its user-friendly nature, cost efficiency, environmental compatibility, and lack of reliance on professional experts.
Dan-Ni Yang, Shan Geng, Rong Jing, Hao Zhang   +3 more
doaj   +1 more source

Recovery of platinum group metals from spent automotive catalysts by FeCl2 vapor treatment and magnetic separation [PDF]

E3S Web of Conferences
Platinum group metals (PGMs) are critical materials widely used in automotive catalytic converters and increasingly recovered from secondary resources.
Ayan Bakdauletuly
doaj   +1 more source

Hierarchical Differentiable Fluid Simulation

Computer Graphics Forum, EarlyView.
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong, Arnaud Schoentgen, Damien Rioux‐Lavoie, Paul G. Kry, Derek Nowrouzezahrai   +4 more
wiley   +1 more source

Understanding the features of PGMs in spent ternary automobile catalysts for development of cleaner recovery technology

, 2019
With the penetration of automobiles, the number of spent automobile catalysts keeps increasing. The spent catalysts contain a significant amount of platinum group metals (PGMs) as active components.
Liu, Chunwei, Wang, Haijuan, Sun, Zhi, Wei, Xuan, Ning, Pengge, Yang, Zhanbing, Cao, Hongbin, Jin, Wei   +7 more
core   +1 more source

PGMS: a case study of collecting PDA-based geo-tagged malaria-related survey data. [PDF]

, 2014
Using mobile devices, such as personal digital assistants (PDAs), smartphones, tablet computers, etc., to electronically collect malaria-related field data is the way for the field questionnaires in the future.
Lobo, Neil F, Collins, Frank H, Sulistyawati, Gimnig, John E, Wolkon, Adam, Malishee, Alpha, Stevenson, Jennifer, Zhou, Ying, Madey, Greg   +8 more
core   +1 more source

Kinetics of Iron Collector Leaching in HCl and HF Media

Metals
Automotive catalysts containing Platinum Group Metals (PGMs) are valuable secondary raw materials for refineries. Hydrometallurgical processing of catalysts is ineffective due to the low PGMs content—0.15–0.3%.
Evgeniy Kuzas, Ivan Sandalov, Kirill Karimov, Aleksei Kritskii, Ilia Fomenko, Ivan Zhidkov, Aleksandr Abramov   +6 more
doaj   +1 more source

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

Computer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo, Silvia Biasotti, Bianca Falcidieno, Daniela Cabiddu, Elia Moscoso Thompson, Michela Spagnuolo   +5 more
wiley   +1 more source

Statistical Denoising of Transient Rendering

Computer Graphics Forum, EarlyView.
Abstract Transient rendering simulates light in motion, measuring the time of flight from the light source to the camera. However, the stochastic nature of Monte Carlo is aggravated in transient rendering, since samples are now spread along the temporal domain.
Oscar Pueyo‐Ciutad, Alvaro Lopez, Diego Gutierrez   +2 more
wiley   +1 more source

Particle Gaussian Mixture (PGM) Filters

CoRR, 2016
Recursive estimation of nonlinear dynamical systems is an important problem that arises in several engineering applications. Consistent and accurate propagation of uncertainties is important to ensuring good estimation performance. It is well known that the posterior state estimates in nonlinear problems may assume non-Gaussian multimodal densities. In
D. Raihan, Suman Chakravorty
openaire   +4 more sources