Probiotics against pathogenic bacteria and cancer by V. A. Belyavskaya, N. V. Cherdyntseva, N. V. Litviakov, A. A. Ponomaryova, E. V. Udut

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Comparative Analysis of Machine Learning Techniques for Predicting Bulk Specific Gravity in Modified Asphalt Mixtures Incorporating Polyethylene Terephthalate (PET), High-Density P... by Bhupender Kumar, Navsal Kumar, Rabee Rustum, Vijay Shankar

“…A predictive modeling approach was employed to estimate the bulk-specific gravity (G_mb) of asphalt concrete using various ML techniques, including Artificial Neural Networks (ANNs), Support Vector Machines (SVMs), Gaussian Processes (GPs), and Reduced Error Pruning (REP) Tree. …”
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ANALYSIS OF UKRAINE’S COMPETITIVENESS: PROBLEMS AND PROSPECTS OF EUROPEAN INTEGRATION by Oleksandr A. Zadoia, Artem M. Novikov

“…However, the uncertainty and constant change of the vector of economic integration together with the change of power led to the deterioration of the state’s economic condition and made sustainable economic growth impossible. …”
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Data-driven fault detection and positioning of eccentric rolls in roll-to-roll systems using wrap angle and sensor proximity by Yoonjae Lee, Minjae Kim, Jaehyun Noh, Gyoujin Cho, Changwoo Lee

“…The study employs the FCM method to enhance defect detection accuracy, using Support Vector Machine (SVM) as the classifier to consistently evaluate the effectiveness of selected feature sets in identifying and positioning eccentricity in R2R systems. …”
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Mapping the Normalized Difference Vegetation Index for the Contiguous U.S. Since 1850 Using 391 Tree-Ring Plots by Hang Li, Ichchha Thapa, Shuang Xu, Peisi Yang

“…Among three machine learning approaches for regressions—Support Vector Machine (SVM), General Regression Neural Network (GRNN), and Random Forest (RF)—we chose GRNN regression to simulate the annual NDVI with lowest Root Mean Square Error (RMSE) and highest adjusted R2. …”
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The Nomadic Military Burial with a Bronze Cauldron from the Necropolis of Perevolochan 1 in the Southern Urals by Sergey V. Demidenko, Sergey V. Sirotin

“…In addition, the role of the materials in understanding cultural and historical processes in the steppe zone of the Southern Urals in the middle of the 1st millennium BC is of particular relevance. …”
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Serine Hydroxymethyltransferase Modulates Midgut Physiology in <i>Aedes aegypti</i> Through miRNA Regulation: Insights from Small RNA Sequencing and Gene Expression Analysis by Qian Pu, Yujiao Han, Zhuanzhuan Su, Houming Ren, Qingshan Ou, Symphony Kashyap, Shiping Liu

“…<i>Aedes aegypti</i> mosquitoes are critical vectors of arboviruses, responsible for transmitting pathogens that pose significant public health challenges. …”
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Improved Rainfall Prediction through Nonlinear Autoregressive Network with Exogenous Variables: A Case Study in Andes High Mountain Region by Mario Peña, Angel Vázquez-Patiño, Darío Zhiña, Martin Montenegro, Alex Avilés

“…To define a suitable model, ridge regression, lasso, random forest (RF), support vector machine (SVM), and NARX network were used. …”
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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…Gene selection plays a crucial role in the pre-processing of microarray data, aiming to identify a small set of genes that enhances classification accuracy and reduces costs. …”
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Strongly interacting dark sectors in the early Universe and at the LHC through a simplified portal by Elias Bernreuther, Felix Kahlhoefer, Michael Krämer, Patrick Tunney

“…Abstract We study the cosmology and LHC phenomenology of a consistent strongly interacting dark sector coupled to Standard Model particles through a generic vector mediator. We lay out the requirements for the model to be cosmologically viable, identify annihilations into dark vector mesons as the dominant dark matter freeze-out process and discuss bounds from direct detection. …”
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Deep Sparse Autoencoder for Feature Extraction and Diagnosis of Locomotive Adhesion Status by Changfan Zhang, Xiang Cheng, Jianhua Liu, Jing He, Guangwei Liu

“…The adhesion coefficient and creep speed of a locomotive constitute the characteristic vector. The sparse autoencoder unsupervised learning network studies the input vector, and the single-layer network is superimposed to form a deep neural network. …”
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Analyzing Big Data with the Hybrid Interval Regression Methods by Chia-Hui Huang, Keng-Chieh Yang, Han-Ying Kao

“…In this paper, we collaborate interval regression with the smooth support vector machine (SSVM) to analyze big data. Recently, the smooth support vector machine (SSVM) was proposed as an alternative of the standard SVM that has been proved more efficient than the traditional SVM in processing large-scale data. …”
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Implementasi Metode Longest Common Subsequences untuk Perbaikan Kata pada Kasus Analisis Sentimen Opini Pembelajaran Daring di Media Sosial Twitter by Alfisyar Jefry Pranata, Yuita Arum Sari, Edy Santoso

“…This opinion will be used in this research and will be processed first in the stage preprocessing. The method used in this research is Longest Common Subsequences (LCS) and Support Vector Machine (SVM) with 500 data divided into 250 data labeled positive and 250 data labeled negative. …”
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Combining Hadamard Matrix, Discrete Wavelet Transform and DCT Features based on PCA and KNN for Image Retrieval by Hassan Farsi, Sajad Mohamadzadeh

“…Image retrieval is one of the most applicable image processing techniques which have been used extensively. …”
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Generalized Grey Target Decision Method for Mixed Attributes Based on Connection Number by Jinshan Ma, Changsheng Ji

“…So the similarity of each index vector and its target center index vector called nearness degree can be calculated. …”
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Novel Special Orthogonal Group Optimization for Coarse Alignment Method of SINS on a Rocking Base by Fujun Pei, Siyuan Li, Li Peng, Shunan Yin

“…A new attitude error function has been proposed on the basis of the cosines between the measurement vector and predictive vector to describe the error between the estimated attitude and the true one. …”
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Gauging error of pose acquired by vision systems in bin picking applications by Franaszek Marek, Rachakonda Prem, Saidi Kamel S.

“…However, many parts processed in industrial bin picking applications have axial symmetry and for such parts, the orientation cannot be determined uniquely. …”
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Behavioral and Morphological Adaptations of Tortoise Tick Hyalomma aegyptium to Testudo graeca: Evidence for Complex Evolutionary History by Sirri Kar, Baris Donmez, Bugrahan Regaip Kilinc, Zafer Sakaci, Sengul Talay, Dennis Bente, Agustin Estrada‐Peña

“…ABSTRACT In vector arthropods, the host relationship plays a central role in population dynamics and is crucial for determining the current and future course of vector ecology and the eco‐epidemiology of vector‐borne diseases, particularly under the influence of climate and environmental changes. …”
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Early Breast Cancer Prediction Using Thermal Images and Hybrid Feature Extraction-Based System by Doaa Youssef, Hanan Atef, Shaimaa Gamal, Jala El-Azab, Tawfik Ismail

“…Then, an image fusion process is provided to construct one composite image retaining all the map&#x2019;s information from which a highly valuable feature vector is extracted using the histogram of oriented gradients (HOG). …”
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On weighted total least squares adjustment for solving the nonlinear problems by Hu C., Chen Y., Peng Y.

“…The weighted total least squares method has been frequently applied in geodetic data processing for the case that the observation vector and the coefficient matrix are perturbed by random errors, which are zero mean and statistically in- dependent with inequality variance. …”
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