Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data by Fuyong Wang, Xianmu Hou

“…Six machine learning algorithms are utilized: support vector machine (SVM), backpropagation (BP) neural network, gaussian process regression (GPR), extreme gradient boosting (XGBoost), K-nearest neighbor (KNN), and random forest (RF). …”
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Strategic Diagnostics of the Industry as a Strategizing Object by N. I. Sasaev

“…The changes associated with the strengthening of existing trends, the translation of global trends to regional and national levels, the emergence of new trends and their scaling up to the world level, leads to a transformation of conditions and the emergence of new strategic factors of economic development. This non-stationary process, which declares both negative and positive aspects, complicates the monitoring, search and selection of long-term guidelines for the industrial development of the economy, which justifies the relevance of the development of the methodological apparatus for strategizing industries.The industrial strategy developed in accordance with the general theory of strategy and the methodology of strategizing, the founder of which is Foreign Member of the Russian Academy of Sciences Vladimir L. …”
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Use of responsible artificial intelligence to predict health insurance claims in the USA using machine learning algorithms by Ashrafe Alam, Victor R. Prybutok

“…Aim: This study investigates the potential of artificial intelligence (AI) in revolutionizing healthcare insurance claim processing in the USA. It aims to determine the most effective machine learning (ML) model for predicting health insurance claims, leading to cost savings for insurance companies. …”
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A Two-Stage Bayesian Receiver for Massive Grant-Free OFDM-NOMA With Interfering Pilot Symbols by Fakher Sagheer, Frederic Lehmann, Antoine O. Berthet

“…It employs a multiple measurement vector (MMV) model to handle the common support shared by the multi-antenna channel impulse responses of each user. …”
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Margin weighted robust discriminant score for feature selection in imbalanced gene expression classification. by Sheema Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan

“…The score is weighted by margin weights extracted from support vectors to enhance the discriminative power of genes/features thereby highlighting its potential for class separation. …”
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Method for Selecting Combinations of Optical Chemosensory Materials for Identification of Vapor-Phase Ecotoxicants by R. D. Chuvashov

“…Classification models based on the support vector method and the principal components method are used to classify responses of the combination of materials. …”
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Artificial intelligence-enhanced solubility predictions of greenhouse gases in ionic liquids: A review by Bilal Kazmi, Syed Ali Ammar Taqvi, Dagmar Juchelkov, Guoxuan Li, Salman Raza Naqvi

“…The study highlights AI's transformative power in understanding gas-IL interactions and inspiring environmentally friendly separation processes. It also discusses integrating AI-driven predictions with process modeling tools like Aspen Hysys and Aspen Plus, aiming to stimulate further research in gas separation technologies and pave the way for practical implementation.…”
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Une analyse de la démultiplication des éthos dit et montré dans le discours du Bourget de François Hollande raconté par Laurent Binet by Alain RABATEL

“…. – in which the ethos of the enunciators is examined, and not the ethos of the author of the utterance, if the direct speech is in principle the main vector of the ethos, its representation within the narrative affects considerably its co-construction. …”
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A Novel Framework for Automated Grid Generation and CFD Simulation of Complex Geometries by Chunguang XU, Xin OUYANG, Jie CHEN, Jun LIU

“…It achieved full automation in the process from importing discrete surface points to generating flow field computation results. …”
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Load aggregator adjustable capability forecasting based on graph convolution neural network by DONG Lingrui, WU Binyuan

“…Through the message transmission process on the graph, the response characteristics of different clusters could be shared, and both the historical data of the targeted node and other nodes are effectively used to improve the prediction accuracy from both spatial and temporal aspects. …”
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Cognitive Distraction State Recognition of Drivers at a Nonsignalized Intersection in a Mixed Traffic Environment by Qiang Hua, Lisheng Jin, Yuying Jiang, Ming Gao, Baicang Guo

“…Forty participants were recruited for each event, who completed three different cognitive distraction experiments induced by three different secondary tasks in contrast with a normal driving process when passing a nonsignalized intersection. …”
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Tensor nested ring embedding used for domain adaptation of cross-source heterogeneous remote sensing feature tensors by Tong Gao, Min Liu, Wei Hu, Hao Chen

“…Although domain adaptation methods can reduce cross-source feature differences, they can only handle vector or homogeneous tensors and fail to process multisource data represented as heterogeneous tensors. …”
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A Multilevel and Hierarchical Approach for Multilabel Classification Model in SDGs Research by Berliana Sugiarti Putri, Lya Hulliyyatus Suadaa, Efri Diah Utami

“…Machine learning classification algorithms used were logistic regression (LR) and support vector machine (SVM). The inputs included titles, abstracts, and titles and abstracts. …”
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Design of a Fully Integrated Power Amplifier at <italic>Ka</italic>-<italic>V</italic> Band for 5G Transceivers by Avinash Singh, Amit Singh, Bargaje Ganesh Pandurang, Karun Rawat

“…A fully integrated millimeter-wave power amplifier has been designed and fabricated using a 0.13 &#x03BC;m SiGe BiCMOS process technology. The design is based on extracting device parasitics and utilizing them in a matching network based on a bandpass topology. …”
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Devising a Breast Cancer Diagnosis Protocol through Machine Learning by Tooba Mujtaba, Saif Ullah Hashmi, Usama Bin Imtiaz, Sheikh Jameel Fathima Nusra

“…Then, a network analysis was performed to assess the significant biological process and signaling pathways of HER2- and ER+ breast cancer development. …”
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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…This paper aims to analyze this assessment process using an enhanced framework of circular intuitionistic fuzzy sets (C-IFS) and the Dombi triangular norm. …”
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Mode-Voltage Constrained Control for Adaptive Optics System by Ruitao Wang, Youming Guo, Nanfei Yan, Ying Yang, Lanqiang Zhang, Qiong Tu, Lingxiao Li, Changhui Rao

“…Simulation results demonstrate that this algorithm outperforms both the traditional vector project-constraint algorithm and the projection-based decoupling algorithm. …”
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Monte Carlo Algorithm For Matrices in Solving Systems of Linear Equations, Determinants, Inverse, Eigen Values, and Eigenvectors. by Bamwine, Delik

“…The This study sought to establish the general applicability of Monte Carlo algorithm for matrices in solving systems of linear equations, determinants, inverse, Eigen values, and Eigen vectors. Linear algebra operations play an important role in scientific computing and data analysis. …”
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Reviewing the ecological evidence base for management of emerging tropical zoonoses: Kyasanur Forest Disease in India as a case study. by Sarah J Burthe, Stefanie M Schäfer, Festus A Asaaga, Natrajan Balakrishnan, Mohammed Mudasssar Chanda, Narayanaswamy Darshan, Subhash L Hoti, Shivani K Kiran, Tanya Seshadri, Prashanth N Srinivas, Abi T Vanak, Bethan V Purse

“…Options may include "ecological interventions" that target vectors or hosts and require good knowledge of underlying transmission processes, which may be more effective, economical, and long lasting than conventional approaches. …”
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Circulating Current Suppression and Midpoint Potential Balance of Flexible DC T-Type Three-Level Bidirectional Converter for Urban Rail Transit by LIU Jianhua, LI Dongdong, LI Hao

“…The proposed midpoint potential control method does not require complex space vector modulation processes， has low computational complexity， is easy to implement， and can effectively control the midpoint potential.…”
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