The Behavioral Mechanism and Forecasting of Beijing Housing Prices from a Multiscale Perspective by Yan Li, Zhaoyang Xiang, Tao Xiong

“…Then, we compose the IMFs and residual into three components caused by normal market disequilibrium, extreme events, and the economic environment using the fine-to-coarse reconstruction algorithm. Finally, we propose an improved hybrid prediction model for forecasting house prices. …”
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Tactical features of the scene inspection in the investigation of the taking of a government official or law enforcement officer as a hostage by O. Yu. Prokopenko

“…For each place of inspection, the peculiarities and the relevant algorithm of actions by the pre-trial investigation authorities have been identified. …”
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Design and Analysis of a Multiple and Wide Nulling Collaborative Beamforming Scheme in the Domain of 3-Dimensional Wireless Sensor Networks by Robert Macharia Maina, Philip Kibet Langat, Peter Kamita Kihato

“…A particle swarm optimization (PSO) algorithm variant is applied in concurrent node transmit amplitude and phase perturbation with an aim of achieving beam steering alongside multiple and wide null steering. …”
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Peculiarities of the classification of raw-smoked sausages during forensic commodity examination by Ye. М. Sobakar, Ya. О. Kulyk

“…The scientific article outlines the methodological features of conducting a forensic commodity examination of raw-smoked sausages, analyzes the theoretical and practical problems of the commodity research of raw-smoked sausages, defines the commodity aspects of raw-smoked sausages and their defects, systematizes information data on the algorithm for conducting a forensic commodity examination of raw-smoked sausages in order to check for the presence of characteristic defects. …”
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Selection of strawberry cultivars according to their productivity and berry quality using normalized indices by V. I. Lapshin, V. V. Yakovenko

“…Mathematical data processing employed a two-factor analysis of variance, the principal component method, cluster analysis by Ward’s algorithm, and Wilcoxon test.Results. The statistical significance of the cultivar and year factors, and their interaction was measured. …”
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The Impact of Digitalization on Public Administration, Economic Development, and Well-Being in the EU Countries by Armenia Androniceanu, Irina Georgescu, Oana Matilda Sabie

“…Originality: Four clusters have been identified by means of the K-Means clustering algorithm. All four clusters are well determined, with cluster 1 including the three Nordic countries ranking first, followed by cluster 3 of well-developed countries and cluster 4 containing mainly emerging economies.   …”
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Modelling the flowing bottom hole pressure of oil and gas wells using multivariate adaptive regression splines by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh, Raja Rajeswary Suppiah

“…In this study, the multivariate adaptive regression splines algorithm was used to develop a FBHP estimation model. …”
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Molecular basis and genetics of hypohidrotic ectodermal dysplasias by V. A. Kovalskaia, T. Cherevatova, A. V. Polyakov, O. P. Ryzhkova

“…This complicates the DNA diagnosis establishment of this disease due to the lack of an accurate diagnostic algorithm and a universal cost-effective method of analysis. …”
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Dual medical image watermarking using SRU-enhanced network and EICC chaotic map by Fei Yan, Zeqian Wang, Kaoru Hirota

“…The security of watermarks is strengthened through a pre-embedding encryption algorithm using the chaotic sequence produced by the EICC map. …”
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Construction of an Intelligent Analysis Model for Website Information Based on Big Data and Cloud Computing Technology by Ronghua Chen, Bei Yang

“…Through the different levels of testing of various subsystems, the website delivery system meets the functional and nonfunctional requirements proposed by the network and on this basis realizes the use of group wisdom based on Pearson correlation coefficient, Cosine similarity, and Tanimoto coefficient for collaborative filtering website recommendation algorithm.…”
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Machine learning based prediction models for the prognosis of COVID-19 patients with DKA by Zhongyuan Xiang, Jingyi Hu, Shengfang Bu, Jin Ding, Xi Chen, Ziyang Li

“…We employed 5-fold cross-validation for model evaluation and used the Shapley Additive Explanations (SHAP) algorithm for result interpretation to ensure reliability. …”
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General Log-Linear Weibull Model Combining Vibration and Temperature Characteristics for Remaining Useful Life Prediction of Rolling Element Bearings by Mingzhu Lv, Shixun Liu, Xiaoming Su, Changzheng Chen

“…The best parameters are attained by employing the maximum likelihood estimation approach. The algorithm performance is checked with criteria like the root mean square error (RMSE) and the mean absolute percentage error (MAPE). …”
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A New Model for Locating Plate Recognition Devices to Minimize the Impact of the Uncertain Knowledge of the Routes on Traffic Estimation Results by Santos Sánchez-Cambronero, Fernando Álvarez-Bazo, Ana Rivas, Inmaculada Gallego

“…In this context, this paper proposes several practical contributions, in particular: (1) a traffic network design method aimed to use the plate scanning data to estimate traffic flows and (2) an algorithm for locating plate reader devices to reduce the effect of the uncertain knowledge of route enumeration. …”
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Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…To address these challenges, this research introduces an innovative method that integrates Robust Seasonal-Trend Decomposition (RSTL) with an Adaptive Seagull Optimisation Algorithm (ASOA)-optimized Long Short-Term Memory (LSTM) neural network. …”
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Statistical analysis of regional STEC gradient trends for midlatitude ionosphere by Meltem Koroglu, Feza Arikan

“…The standard deviations of the gradient PDFs generally increase during night hours. The algorithm will form a basis for quantifying the stochastic variations of the spatial rate of change of TEC trends in midlatitude regions, thus supplementing reliable and accurate regional monitoring of ionospheric variability.…”
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A Hybrid Approach Integrating Multiple ICEEMDANs, WOA, and RVFL Networks for Economic and Financial Time Series Forecasting by Jiang Wu, Tengfei Zhou, Taiyong Li

“…In this study, a novel multidecomposition and self-optimizing hybrid approach integrating multiple improved complete ensemble empirical mode decompositions with adaptive noise (ICEEMDANs), whale optimization algorithm (WOA), and random vector functional link (RVFL) neural networks, namely, MICEEMDAN-WOA-RVFL, is developed to predict economic and financial time series. …”
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Reversible data hiding scheme based on enhanced image smoothness by Jinghan WANG, Hui ZHU, Helin LI, Hui LI, Xiaopeng YANG

“…With the prosperity of Internet technology and the popularity of social networks, reversible data hiding technology has been widely adopted in concealed information transmission of medical and military fields with its advantages on secret information recovery.Traditional reversible data hiding schemes mainly focus on the enhancement of embedding capacity and the reduction of the distortion rate of stego image, but pay less attention to the understanding of image details with the human eyes.Thus, it is difficult to resist hidden information detection methods.To solve the above challenge, a reversible data hiding algorithm was proposed, which ensured the visual quality of the stego image in the process of data hiding through the image visual smoothness enhancement.Specifically, the original image was divided into reference area and non-reference area.The secret data was embedded through the translation of the difference, which was calculated according to the predicted pixel value and the original pixel value of the non-reference area.To guarantee the visual quality of the image, smoothing mechanism was constructed, in which a Gaussian filter was utilized as a template to filter the predicted value and to add the filter difference into the cover image without loss.The pixel value of the reference region was used as edge information for lossless restoration of the original image.The filtering coefficient in Gaussian function was exploited as the embedded key to ensure the security of secret information.Simulation results regarding a large number of classical image data sets illustrated that the visual smoothness of stego image processed by this scheme was effectively enhanced with lower distortion rate, higher embedding rate, and higher embedding and extraction efficiency.In a typical circumstance, the similarity between the generated stego image and the Gaussian filter image can reach 0.9963.The PSNR and the embedded capacity can be up to 37.346 and 0.3289 BPP, respectively.…”
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The impact of quantitative platform on candidacy for bronchoscopic lung volume reduction: a multi-center retrospective cohort study by Max Wayne, Suchitra Pilli, Hee Jae Choi, Nathaniel Moulton, Praveen Chenna, Allen Cole Burks, Alexander Chen

“…The recommendation to proceed with BLVR was based on a prespecified algorithm using criteria established in clinical trials for each quantitative platform, respectively. …”
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Measurement and assessment of human resources in information economy: substantive and methodological aspect by Krasova Elena

“…Based on the analysis results, the substantive part of the author’s methodology has been formed, which includes an improved methodological approach to assessing human resources of a country (region), as well as an assessment algorithm, a system of initial indicators and a set of calculated integral parameters corresponding to this approach. …”
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An Artificial Neural Network Model to Predict the Thermal Properties of Concrete Using Different Neurons and Activation Functions by Sehmus Fidan, Hasan Oktay, Suleyman Polat, Sarper Ozturk

“…Then, the Levenberg–Marquardt algorithm was used for training the neural network in the single hidden layer using 5, 10, 15, 20, and 25 neurons, respectively. …”
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