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An intelligent vision-based approach for helmet identification for work safety
H Wu, J Zhao - Computers in Industry, 2018 - Elsevier
Helmets are essential equipments to protect workers from danger during inspection and
operation. Considering that some workers would not always obey the regulation, video …
operation. Considering that some workers would not always obey the regulation, video …
A CNN-based regression framework for estimating coal ash content on microscopic images
K Zhang, W Wang, Z Lv, L **, D Liu, M Wang, Y Lv - Measurement, 2022 - Elsevier
Coal ash content is an important criterion for evaluating coal quality. In recent years, the
online ash measurement approach based on a convolutional neural network (CNN) has …
online ash measurement approach based on a convolutional neural network (CNN) has …
Hematological image analysis for segmentation and characterization of erythrocytes using FC-TriSDR
P Kumar, KS Babulal - Multimedia tools and applications, 2023 - Springer
In medical science, the scrutiny of blood smears for the abnormality in erythrocyte, leads to
decisive determination of several ailments like Thalasemia, Liver disease, Sickle cell …
decisive determination of several ailments like Thalasemia, Liver disease, Sickle cell …
Design and development of a machine vision system using artificial neural network-based algorithm for automated coal characterization
Coal is heterogeneous in nature, and thus the characterization of coal is essential before its
use for a specific purpose. Thus, the current study aims to develop a machine vision system …
use for a specific purpose. Thus, the current study aims to develop a machine vision system …
A VGGNet-like approach for classifying and segmenting coal dust particles with overlap** regions
Z Wang, X Zheng, D Li, H Zhang, Y Yang, H Pan - Computers in Industry, 2021 - Elsevier
The Automatic extraction of coal particles characteristics has great importance in smart mine
construction for security planning and disaster prevention. Traditional approaches, including …
construction for security planning and disaster prevention. Traditional approaches, including …
Optimization of acid and enzymatic hydrolysis of kodo millet (Paspalum scrobiculatum) bran residue to obtain fermentable sugars for the production of optically pure D …
The global demand for lactic acid (LA) derivatives, requires feedstocks that are economically
viable and environmentally sustainable. Kodo millet bran residue (KMBR) was therefore …
viable and environmentally sustainable. Kodo millet bran residue (KMBR) was therefore …
Rapid ash content determination method for coal particles through images captured under multiple ring light sources with various incident angles
F Bai, M Fan, H Yang, L Dong - Fuel, 2021 - Elsevier
The rapid determination of coal ash content is of substantial significance in coal preparation
plants. A new ash content prediction method that is based on images of multiple ring light …
plants. A new ash content prediction method that is based on images of multiple ring light …
Feature detection for digital images using machine learning algorithms and image processing
Microfractures are important mechanical discontinuities in shales and are important for fluid
flow during production. Understanding their properties is crucial for accurate shale …
flow during production. Understanding their properties is crucial for accurate shale …
Automatic characterisation of chars from the combustion of pulverised coals using machine vision
The study of char morphology, produced during combustion of pulverised coal, may be used
to evaluate the effect of coal on the performance of the burner. Particle reactivity is the …
to evaluate the effect of coal on the performance of the burner. Particle reactivity is the …
Application of texture features and machine learning methods to grain segmentation in rock material images
The segmentation of rock grains on images depicting bulk rock materials is considered. The
rocks' material images are transformed by selected texture operators, to obtain a set of …
rocks' material images are transformed by selected texture operators, to obtain a set of …