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Hence, there is an absolute need for well-calibrated literature data to combine the research works undertaken in the last few decades.
The X-ray powder diffraction (XRD) pattern of prepared material showed several strong peaks which were matched with the standard powder diffraction data (PDF) for Zn3(PO4)2·2H2O.
The Raman and Fourier-transform infrared (FT-IR) spectra were in good agreement with the XRD data.
The XRD pattern of fabricated ZnP was well-matched with PDF data of hopeite (Zn3(PO4)2×4H2O).
The tribological properties of OA-modified ZnPNPs showed better anti-wear and friction-reduction performance compared to the base oil.

In the last 25–30 years alloys of vast diversity that experience TMTs were investigated first of all by using structural methods, and large-volume data on various aspects of TMTs have been accumulated.
However, the data on their mutual crystallographic orientation is insufficient for a completely detailed description of the reconstruction.
Already first data on anelastic neutron scattering for single crystals of a number of metastable metals and alloys have shown that in them there takes place the softening of acoustic transversely polarized phonon modes and, first of all, of the whole branch TA2 k<>e and this is in the accordance of the slope at x®0 with the changes of C' (Fig. 13).
The interpretation of the obtained data gives the possibility to construct a physical model of the real microstructure of metastable alloys.
A working out of devices with using SM alloys was intensified after publication in 1963 of data on record-level (and in many relations also unique) properties of titanium nickelide.

The detection algorithm was trained and tested a private data set.
In most cases, the data may not be linearly separable (L-SVM case), hence the transformation of the data space into higher dimensions is done by the kernel functions.
The fine KNN (FKNN) method only selects a single neighbor for each data set.
The proposed algorithm detects abnormality locations in most of the test data.
Gaur, "Review based on data clustering algorithms," 04 2013, pp. 298-303

These enable the reduction of diffusion path length, reduce hold-up and improve the controlling on temperature control, even for highly exothermic reactions.
Along the help of the experimental data the correlations for the kinetic constants & value of activation energies for the synthesis & hydrolysis reactions of PAA were determined under the batch reactor.

The rate of increment/decrement in the skin friction as well as the Nusselt number for various values of physical parameters are also estimated via slope of linear regression line using data points.
The drag force and heat exchange between the fluid and dust particles are the main factors for a reduction in the flow fields.

It consists of economic cost efficiency, social well-being and environmental green concerns of GHG emission’s reduction.
Studies on sustainable freight transport mostly focus on the reduction of CO2 as a major contributor of GHGs [25].
Decision making process in Africa is hampered by access to organized data and management systems[76].
· Development of sustainable strategies for reduction of GHGs in the transport sector to limit environmental pollutions and their problems
Notteboom, The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels.

Percentage crystallinity was calculated using equation 1, and the data was collected for analysis using OriginPro Software.
Sample data are analyzed using descriptive statistical analysis.
Daramola: Development of the design and concept of the research, data processing and analysis, writing or revising the manuscript.
Iorkohol: Development of the design and concept of the research, data processing, and analysis.
Ajayi: Development of the design and concept of the research, data processing, and analysis.

The paper will discuss data and results from the first fully commercialized installation of a specially designed press for cooling salt slag from Tilt Type Rotary Furnaces.
· The required number of dross bins can be significantly reduced, with a 70% reduction in total bin numbers possible.

The input layer is used to present the data in the ANN and the output to produce the ANN response.
In [45], the goal was to develop and train a fuzzy-nets-based surface roughness prediction (FN-SRP) system that will predict the surface roughness in CNC turning operations using accelerometer measurements and vibration data.
A hybrid model known as GONNS (Genetically Optimized Neural System) was proposed in [82] for the selection of optimal cutting conditions from the experimental data when analytical or empirical mathematical models are not available.
The simplicity of the modelling, the speed of the optimization, and the reliability of the process even with small data sets are the main advantages of the GONNS and make it an excellent optimization tool for metal cutting operations.
The results showed that the GA technique decreased the minimum surface roughness value of the experimental sample data, regression modelling and response surface methodology technique by about 27%, 26% and 50%, respectively.

These measurements are conducted using the principle of Phase Measuring Deflectometry (PMD) in order to optically acquire full-field 3D-height data.
This results in a considerable reduction of non-productive time, degraded material, and thus costs.