Results 1 to 10 of about 2,227,952 (336)

Evaluation of a low-cost dryer for a low-cost optical particle counter [PDF]

open access: yesAtmospheric Measurement Techniques, 2022
The use of low-cost sensors for air quality measurements has become very popular in the last few decades. Due to the detrimental effects of particulate matter (PM) on human health, PM sensors like photometers and optical particle counters (OPCs) are ...
M. Chacón-Mateos   +3 more
doaj   +1 more source

State of Charge and Lithium Manganate Batteries Internal Resistance Estimation at Low Charge/discharge rates

open access: yesInternational Journal of Electrochemical Science, 2021
Several parameters relating to electric vehicles vary with the state of charge (SOC). In currently commonly used equivalent circuit models, changes of the Ohmic resistance (R0) and polarization resistance (Rp) during charge and discharge are ignored ...
Xiongping Lin   +8 more
doaj   +1 more source

Nanobubble ozonation for waterbody rejuvenation at different locations in India: A holistic and sustainable approach

open access: yesResults in Engineering, 2022
In this study, four different sites of ponds at different time period were analysed to show to the effect of Nanobubble ozonation (NBO). NBO is one of novel technologies which is environmentally friendly only using air, ozone, and requiring virtually no ...
Preeti Pal   +2 more
doaj   +1 more source

Fouling and Chemical Cleaning of Microfiltration Membranes: A Mini-Review

open access: yesPolymers, 2021
Membrane fouling is one of the main drawbacks encountered during the practical application of membrane separation processes. Cleaning of a membrane is important to reduce fouling and improve membrane performance. Accordingly, an effective cleaning method
Aysegul Gul, J. Hrůza, F. Yalcinkaya
semanticscholar   +1 more source

Multi-objective optimisation of thermal and hydraulic performance with various concentrations of hybrid Fe3O4/graphene nanofluids in a microchannel heat sink

open access: yesCase Studies in Thermal Engineering, 2023
An accurate thermal resistance network and an objective function of pressure drop were established for a microchannel heat sink (MCHS) to evaluate the heat transfer and hydraulic performance of hybrid Fe3O4/graphene nanofluids with different ...
Chenlei Qu   +4 more
doaj   +1 more source

Experimental Study on Denitration Transformation of CFB Boiler Burning Fujian Anthracite

open access: yesEnergies, 2023
Two 75 t/h medium-temperature separated circulating fluidized bed boilers burning Fujian anthracite were upgraded with low NOx combustion (LNC). By reducing the effective cross-sectional area of the air distributor (from 13.43 m2 to 11.38 m2), improving ...
Wenting Zhou   +2 more
doaj   +1 more source

CleanML: A Study for Evaluating the Impact of Data Cleaning on ML Classification Tasks

open access: yesIEEE International Conference on Data Engineering, 2021
Data quality affects machine learning (ML) model performances, and data scientists spend considerable amount of time on data cleaning before model training.
Peng Li   +5 more
semanticscholar   +1 more source

When and how self-cleaning of superhydrophobic surfaces works

open access: yesScience Advances, 2020
We monitor the self-cleaning process on a single-particle level and quantify the involved forces. Despite the enormous interest in superhydrophobicity for self-cleaning, a clear picture of contaminant removal is missing, in particular, on a single ...
Florian L Geyer   +9 more
semanticscholar   +1 more source

Preparation of Cotton Linters’ Aerogel-Based C/NiFe2O4 Photocatalyst for Efficient Degradation of Methylene Blue

open access: yesNanomaterials, 2022
At present, the research focus has been aimed at the pursuit of the design and synthesis of catalysts for effective photocatalytic degradation of organic pollutants in wastewater, and further exploration of novel materials of the photodegradation ...
Chengli Ding   +3 more
doaj   +1 more source

Time Series Data Cleaning: A Survey [PDF]

open access: yesIEEE Access, 2020
Errors are prevalent in time series data, which is particularly common in the industrial field. Data with errors could not be stored in the database, which results in the loss of data assets.
Xi Wang, Chen Wang
semanticscholar   +1 more source

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