A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

“…The main findings show that machinery was the industry subsector with the major implementations regarding machine learning; process improvement is the main concern (interest) of all implementations; random forest was the most specific machine learning technique used; and diverse technologies associated with this context were identified such as: the industrial internet of things, digital twin, sensor technologies (soft, optical, barometric, ultrasonic), software technologies (Python, MATLAB, LabView, Google AutoML Platform) and equipment technologies (robotic, PLC, CNC). …”
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Evaluation of the Impact Resistance of Various Composite Sandwich Beams by Vibration Tests by Amir Shahdin, Joseph Morlier, Laurent Mezeix, Christophe Bouvet, Yves Gourinat

“…Experimental tests are done using both burst random and sine dwell testing in order to have a better confidence level on the extracted modal parameters. …”
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Laterality Does Not Affect the Depth Perception, but Interpupillary Distance by Murat Aslankurt, Lokman Aslan, Adnan Aksoy, Murat Özdemir, Şenol Dane

“…Stereoacuity was measured in both contour (Titmus test) and random dot (TNO test) stereograms. The stereopsis scores were evaluated in terms of hand or eye dominance. …”
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INVESTIGATING THE RELATIONSHIPS BETWEEN ASEAN STOCK MARKETS: AN APPROACH USING THE GRANGER CAUSALITY TEST OF TIME-VARYING INFORMATION EFFICIENCY by Trần Thị Tuấn Anh

“…The results show that all six stock markets are not in the state of information efficiency, which means the stock indices, stock returns, and volatility are not purely random, but patterned. In addition, the Granger test results show that the ASEAN stock markets are logically correlated. …”
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Short-Term Prediction of Traffic State for a Rural Road Applying Ensemble Learning Process by Arash Rasaizadi, Seyedehsan Seyedabrishami, Mohammad Saniee Abadeh

“…In this paper, machine learning methods consisting of long short-term memory (LSTM), random forest (RF), support vector machine (SVM), and K-nearest neighbors (KNN) are employed to predict traffic state, categorized into A to C for segments of a rural road network. …”
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PUBLIC AWARENESS OF DEPOSIT INSURANCE AND INVESTOR COMPENSATION SCHEMES IN BULGARIA by Irina Kazandzhieva, Elena Ralinska

“…The paper investigates the public awareness of the main components of the financial safety net in Bulgaria – the deposit insurance scheme and investor compensation scheme - based on a random distribution of a questionnaire among 232 people. …”
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Assessment of Knowledge, Attitude, and Practice towards Prevention and Control of Malaria in Halaba Town, Southern Ethiopia, 2017 by Tadesse Menjetta

“…A community-based cross-sectional study was conducted in Halaba town from June 2017 to September 2017. A multistage random sampling technique was used to select the study participants. …”
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Deep learning application for stellar parameter determination: III-denoising procedure by Gebran Marwan, Bentley Ian, Brienza Rose, Paletou Frédéric

“…We constructed two denoising techniques, an autoencoder, and a principal component analysis. Using random Gaussian noise added to synthetic spectra, we have trained a neural network to derive the stellar parameters Teff{T}_{{\rm{eff}}}, logg\log g, vesini{v}_{{\rm{e}}}\sin i, ξt{\xi }_{{\rm{t}}}, and [M/H] of the denoised spectra. …”
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Effects of Soil and Water Conservation at Different Landscape Positions on Soil Properties and Farmers’ Perception in Hobicheka Sub-Watershed, Southern Ethiopia by Tamrat Sinore, Dinsa Doboch

“…Composite soil samples were taken from soil bunds with desho grass and soil bunds only at three landscape positions with three replications, whereas 117 respondents were identified using simple random sampling. The result revealed that the clay, soil moisture content, soil pH, OC, TN, Av.P, and CEC were higher in soil bund with desho grass as compared to adjacent soil bund only, whereas, bulk density, silt, and sand contents were higher in adjacent soil bund only compared to soil bund with desho grass. …”
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The effect of smart contracts (blockchain technology) on Jordan’s land registry and survey department for sustainable development by AbdelKarim Fawwaz AlBataineh

“…Utilizing a quantitative, cross-sectional survey design, the research targeted 12,450 employees of the Jordanian Department of Lands and Survey, with a stratified random sample of 448 respondents. The data, gathered through online surveys and analyzed via Partial Least Squares Structural Equation Modeling (PLS-SEM), reveals significant positive relationships between blockchain implementation facets—such as Security and Fraud Prevention, Efficiency and Automation, Regulatory Compliance, Transparency and Trust, and Accessibility and User Experience—and sustainable development outcomes. …”
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Data augmentation with occluded facial features for age and gender estimation by Lu En Lin, Chang Hong Lin

“…The proposed method adopted three simple occlusion techniques, blackout, random brightness, and blur, and each simulates a different kind of challenge that would be encountered in real‐world applications. …”
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Dominant Factors in Complementary Food Feeding in Babies and Toddlers by Amrina Octaviana, Roslina Roslina, Indah Trianingsih, Marlina Marlina, Nelly Indrasari

“…Sampling used a stratified random sample of 132 mothers with babies and toddlers aged 6–24 months. …”
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Perceiving inter-leg speed differences while walking on a split-belt treadmill by Carl Müller, Karl Kopiske

“…As participants walked at a constant speed, we either accelerated or decelerated one of the belts at quasi-random intervals and asked participants to judge their relative speeds in a two-alternative forced-choice task. …”
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Filiform Fire Needling Combined with Electroacupuncture in Treating 30 Cases of Obstinate Peripheral Facial Paralysis by Minqin ZHENG, Zhenwei CHEN

“…Objective:To observe the therapeutic effect of filiform fire needling combined with electroacupuncture in obstinate peripheral facial paralysis (OPFP).Methods:Sixty OPFP patients were assigned into the treatment group and the control group by a random number table, and 30 patients were in each group. …”
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The Relationship between Natriuretic Peptide Precursor a Gene T2238C Polymorphism and Hypertension: A Meta-Analysis by Wenquan Niu

“…Data on 7 studies with a total of 4068 subjects were available and analyzed using the random-effects model with assessment of heterogeneity and publication bias. …”
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Predicting the Shanghai Composite Index Using Chinese TikTok Self-Media Data and Machine Learning Model in China by Li Zhiming, Han Huijian, Li Zongwei, Zhang Rui

“…This was followed by random forest regression, which outperformed the remaining five benchmark prediction models (convolutional neural network, LSTM, GRU neural network, radial basis function neural network, extreme learning machine, and transformer model) in terms of prediction accuracy and robustness. …”
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Applying Data Analysis and Machine Learning Methods to Predict Permafrost Coast Erosion by Daria Bogatova, Stanislav Ogorodov

“…The erosion process can be conceptualized as comprising two primary components to construct a predictive model for coastal retreat. The first is a random variable that encapsulates the effects of local structural changes in the coastline alongside fluctuations due to climatic conditions. …”
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Assessing the Goals of Art Education in the Content of the Eighth Grade Culture and Art Book (Case Study: The Views of Specialized Teachers of Culture and Art in Shiraz in the Aca... by Maryam Fathi, Ashkan Rahmani

“…This research is a descriptive and survey type that has been done with a questionnaire using a simple random sampling method among 54 art teachers in Shiraz. …”
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Comparison Of Different Recovery Methods After An Acute Training Session On Aspartate Aminotransferase Activity And Some Hematological İndicators Of Blood İn Women Runners by Marıa Rahmanı Ghobadı, Seyed Ali Hoseini, Ghobad Hasanpour

“…Sampling was done by simple random sampling, so that after informing and inviting interested people and passing the preliminary stages, 30 people were selected from the runners as a research sample and these people were randomly divided into 3 groups of 10: group Active running recycling, passive recycling group and sports massage were included. …”
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The Simulation of Wind Behavior in Sedimentation on the Slope in the Laboratory by Amjad Maleki, AbbasAli Vali, Vajiheh Kahrarian

“…To fulfill this an experiment was done in the laboratory in the form of a random pattern with 7 Tamaris including the slope of zero percentage, ±%2 ±%5, ±%10. …”
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