Syntactic–Semantic Detection of Clone-Caused Vulnerabilities in the IoT Devices by Maxim Kalinin, Nikita Gribkov

“…Semantic analysis is also applied to clones with low similarity metric values. This allows one to correct the similarity decision in the case of incorrect matching of functions at the syntactic level. …”
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Impact of coffee exports on economic growth in Ethiopia; An empirical investigation by Netsanet Gizaw, Jemal Abafita, Tesfaye Melaku Merra

“…The study employed an extended generalized Cobb–Douglas production function model using data from the National Bank of Ethiopia and World Bank data base from 1980 to 2017. …”
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Supergravity Model of Inflation and Explaining IceCube HESE Data via PeV Dark Matter Decay by Girish Kumar Chakravarty, Najimuddin Khan, Subhendra Mohanty

“…We construct a unified model of inflation and PeV dark matter with an appropriate choice of no-scale Kähler potential, superpotential, and gauge kinetic function in terms of MSSM fields and hidden sector Polonyi field. …”
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Economic Incentives for the Modernization of the Electricity Distribution System Operators' Network Infrastructure by Serebrennikov В.S., Petrova K.H., Serebrennikov S.V., Savelenko I.V.

“…By varying the slope of the suggested tariff function, one can adjust the dynamics of the tariff rate change. …”
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Comparison of Satellite-based PM2.5 Estimation from Aerosol Optical Depth and Top-of-atmosphere Reflectance by Heming Bai, Zhi Zheng, Yuanpeng Zhang, He Huang, Li Wang

“…Overall, reflectance-based approach can provide robust PM2.5 estimates for both annual mean values and probability density function of hourly PM2.5. …”
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The role of filaggrin mutations leading to a decrease in the amount of protein in the development of atopic dermatitis and bronchial asthma in children by S. I. Makarova, D. V. Mitrofanov, E. G. Komova, I. V. Kaloshkin, A. B. Shintyapina, L. F. Kaznacheeva, V. V. Zelenskaya, Е. G. Kondyurina, О. A. Batychko, V. A. Vavilin

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A Systematic Review and Meta-analysis of Scrub Typhus and its Association with Liver Disease by Shalini Balamurugan, Reenaa Mohan, Jenifer Florence Mary, Kulkarni Sweta, Tresa Remya Athipozhi Thomas, Saranya Selvamurthy, Sanjay Pasupathy

“…A significant Q statistic P-value indicates the presence of heterogeneity, as reflected by high I2 values (I2 = 96% and I2= 78%). …”
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Basketball teaching methods based on 3D-Convolutional neural network by Chao Huang, Xian Wu

“…The basketball skilled movement dataset is classified and processed using a support vector machine, while a dual-resolution 3d-convolutional neural network is employed to process action features. …”
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Research on Interval Probability Prediction and Optimization of Vegetation Productivity in Hetao Irrigation District Based on Improved TCLA Model by Jie Ren, Delong Tian, Hexiang Zheng, Guoshuai Wang, Zekun Li

“…We propose a multimodal regression prediction model utilizing the TCLA framework—comprising the Transient Trigonometric Harris Hawks Optimizer (TTHHO), Convolutional Neural Networks (CNN), Least Squares Support Vector Machine (LSSVM), and Adaptive Bandwidth Kernel Density Estimation (ABKDE)—with the Hetao Irrigation District, a vast irrigation basin in China, serving as the study area. …”
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Investigating factors affecting the quality of water resources by multivariate analysis and soft computing approaches by Bing Cheng, Xinyu Liu, Keke Guo, Ahmad Rastegarnia

“…Therefore, Na+, Cl+, Na%, CO3 −, and SO4 2− were used as input variables (independent variables), and EC, TDS, and SAR were used as output variables (dependent variables). Support vector machine (SVM) with various kernel functions, multilayer perceptron artificial neural network (MLP-ANN) with various training algorithms, random forest algorithm (RFA), Gaussian process regression (GPR), and statistical analysis methods were used for modeling. …”
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Development of agricultural pests detection and identification system based on the technology of wireless transmission by Song Gelian, Han Ruizhen, Zhang Yonghua, He Yong

“…Host end and the remote end has access to photos capture, pictures reading, feature extraction, feature selection, expert identification, pictures sending and so on.The workflow is as follows: 1) the remote platforms capture the images of stationary pests with image acquisition system; 2) the system extracts certain pests from the farming background according to the constructed vector including 16 morphological characteristic values such as area, perimeter, complexity, eccentricity and invariant moment, 9 colors eigenvalues and 10 texture constituted feature; 3) finally, the system classifies pests into 7 major types which are Cnaphalocrocis medinalis Guenee, Prodenia litura, Chilo sup pressalis, Ostrinia nubilalis, Naranga aenesc, Sogatella furcifera and Agrotis y psilon Rottemberg with Otsu threshold segmentation method based on HSV color mode. …”
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Heart disease prediction using ECG-based lightweight system in IoT based on meta-heuristic approach by Amin Abbaszadeh, Mahdi Bazargani

“…This method includes demarcation of classes with the help of optimized non-linear support vector machine technique in the first step and determining the modified fuzzy class in the second step. …”
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On Conditional Independence Graph Learning From Multi-Attribute Gaussian Dependent Time Series by Jitendra K. Tugnait

“…In multi-attribute graphical models, each node represents a random vector or vector time series. In this paper we provide a unified theoretical analysis of multi-attribute graph learning for dependent time series using a penalized log-likelihood objective function formulated in the frequency domain using the discrete Fourier transform of the time-domain data. …”
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IMPACT OF ENERGY PRICES ON PRICES OF BASIC TOURISM SERVICES IN THE EURO AREA by Lachezar Borisov

“…In particular, the price dynamics of energy products can be employed to forecast the price dynamics of the hotel and restaurant sector after a seven-month period. Moreover, the regression analysis indicates the existence of a statistically significant functional, linear relationship between inflation in energy products and inflation in basic tourism services. …”
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Circular Intuitionistic Fuzzy Dombi Aggregation Operators and Their Application to Marine Fuel Selection by Nuraini Rahim, Binyamin Yusoff, Lazim Abdullah, Dian Pratama

“…Therefore, we propose an alternative score function to improve the consistency and accuracy of CIFS value ranking. …”
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Breast lesion classification via colorized mammograms and transfer learning in a novel CAD framework by Abbas Ali Hussein, Morteza Valizadeh, Mehdi Chehel Amirani, Sedighe Mirbolouk

“…A variety of techniques are implemented in the pre-processing section to minimize noise and improve image perception; however, the most challenging methodology is the application of creative techniques to adjust pixels’ intensity values in mammography images using a data-driven transfer function derived from tumor intensity histograms. …”
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ENGINEERING PEDAGOGY AS A BASE FOR TECHNICAL TEACHER TRAINING SYSTEM by V. V. KONDRATYEV

“…The major difference of engineering pedagogy is in its aims and values. It sets competences of engineering activity as its aims and values. …”
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Evaluation of echocardiographic parameters in patients of acute right ventricular myocardial infarction and its association with in-hospital outcome by Anubhav Prakash, Pradip Saha, Pradip Kumar Ghoshal, Goutam Datta, Saroj Mondal, Abhisek Naskar, Bablu Nandi

“…Results: The findings suggest significant correlations between echocardiographic parameters of RV function. It was noted that patients with PRPHT values <90, tricuspid annular plane systolic excursion (TAPSE) of <10, FAC of <28%, and RVGLS value of <(−12) were able to predict in-hospital outcome in patients of IWMI/RVMI. …”
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How can we predict transportation stock prices using artificial intelligence? Findings from experiments with Long Short-Term Memory based algorithms by Dinar Ajeng Kristiyanti, Willibrordus Bayu Nova Pramudya, Samuel Ady Sanjaya

“…Inflation growth in Indonesia and other countries impacts the currency value and investors' purchasing power, particularly in the transportation sector. …”
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Detection of desert percentage in Al-Hatra Region based on image contents by Saja Mallaaloo, Ghaydaa Al-Talib

“…Content Based Information Retrieval (CBIR) technique was used to retrieve image contents depending on visual objects of it. Support Vector Machine (SVM) technique was put into use by depending on more than one function like polynomial and RBF, then applying every one of them alone with the training image with different blocks size, then using block size and function that give best result from the training phase to be applied on the test images. …”
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