A critical review of flow field analysis methods involving proper orthogonal decomposition and quadruple proper orthogonal decomposition for internal combustion …

F Rulli, S Fontanesi, A d'Adamo… - International Journal of …, 2021 - journals.sagepub.com
Experimental techniques like particle image velocimetry provide a powerful technical
support for the analysis of the spatial and temporal evolution of the flow field in internal …

Big data analytics capabilities and eco-innovation: a study of energy companies

RT Munodawafa, SK Johl - Sustainability, 2019 - mdpi.com
Increased greenhouse gas (GHG) emissions in the past decades have created concerns
about the environment. To stymie global warming and the deterioration of the natural …

Machine learning based quantitative characterization of microstructures

C Gorynski, M Frei, FE Kruis, M Winterer - Acta Materialia, 2023 - Elsevier
Identifying structure–property relationships of polycrystalline microstructures demands an
accurate and precise quantification of their features. Measuring grain sizes is tedious and …

Analysis of Non-Destructive Indicating Properties for Predicting Compressive Strengths of Dendrocalamus sericeus Munro Bamboo Culms

P Tangphadungrat, C Hansapinyo, C Buachart… - Materials, 2023 - mdpi.com
Bamboo is a natural material with the potential for being used in sustainable construction.
However, uncertainty in the bearing capacity of the bamboo results in nonstandard values …

Improved frequency table's measures of skewness and kurtosis with application to weather data

MB Mohammed, MB Adam, N Ali… - … in Statistics-Theory and …, 2022 - Taylor & Francis
The statistic” Midpoint” used as a magnitude of observations in each class of a frequency
table leads to biased estimates of the two measures of shape of a distribution, skewness …

Selection of stationarity tests for time series forecasting using reliability analysis

AA Bawdekar, BR Prusty - Mathematical Problems in …, 2022 - Wiley Online Library
Stationarity is an essential concept in time series forecasting. A reliable stationarity test that
yields unbiased test outcomes is vital as it is the gateway before a suitable forecasting …

Learning outcomes for improving science entrepreneurship in higher education

KD Chen, X Wan, PK Chen - SAGE Open, 2021 - journals.sagepub.com
This study's purpose was to investigate the relationships among learning through
experience, learning for stress resistance, learning cognition, learning outcomes, the …

Morphological variability or inter‐observer bias? A methodological toolkit to improve data quality of multi‐researcher datasets for the analysis of morphological …

D Schüßler, MB Blanco, NK Guthrie… - American journal of …, 2024 - Wiley Online Library
Objectives The investigation of morphological variation in animals is widely used in
taxonomy, ecology, and evolution. Using large datasets for meta‐analyses has dramatically …

[PDF][PDF] A novel secure video steganography technique using temporal lifted wavelet transform and human vision properties.

A Thahab - Int. Arab J. Inf. Technol., 2020 - iajit.org
Steganography is a term that refers to the process of concealing secret data inside a cover
media which can be audio, image and video. A new video steganography scheme in the …

Electrocardiogram based gender classification

MU Khan, M Saad, S Aziz, JM Ch… - 2020 International …, 2020 - ieeexplore.ieee.org
ECG signal having distinguishable features is used for the classification of gender. This
paper presents time and frequency domain features for the classification of gender. A system …