Control and diagnostics of faults in hardware-software complex by D. A. Pankov, L. A. Denisova

“…Questions of test simulation of malfunctions describe automation testing of products at the stage of development. Program and algorithmic modules of control and diagnostics is used for the approach to fault detection of hardwaresoftware complex. …”
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Global-Mapping-Consistency-Constrained Visual-Semantic Embedding for Interpreting Autonomous Perception Models by Chi Zhang, Meng Yuan, Xiaoning Ma, Ping Wei, Yuanqi Su, Li Li, Yuehu Liu

“…Specifically, we focus on the problem setting where the internal mechanisms of AI algorithms are sophisticated, heterogeneous or unreachable. …”
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High-throughput phenotyping techniques for forage: Status, bottleneck, and challenges by Tao Cheng, Dongyan Zhang, Gan Zhang, Tianyi Wang, Weibo Ren, Feng Yuan, Yaling Liu, Zhaoming Wang, Chunjiang Zhao

“…This paper reviews the unique aspects and research priorities in forage phenotypic monitoring, highlights key remote sensing platforms, examines the applications of advanced sensing technology for quantifying phenotypic traits, explores artificial intelligence (AI) algorithms in phenotypic data integration and analysis, and assesses recent progress in phenotypic genomics. …”
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An efficient approach for solving a class of nonlinear 2D parabolic PDEs by Dongjin Kim, Wlodek Proskurowski

“…A comparison of accuracy and computational efficiency of the resulting algorithms for several test problems is presented.…”
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Consensus of Nonlinear Complex Systems with Edge Betweenness Centrality Measure under Time-Varying Sampled-Data Protocol by M. J. Park, O. M. Kwon, E. J. Cha

“…By construction of a suitable Lyapunov-Krasovskii functional, the consensus criterion for such systems is established in terms of linear matrix inequalities (LMIs) which can be easily solved by various effective optimization algorithms. One numerical example is given to illustrate the effectiveness of the proposed methods.…”
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TESTING OF CYCLIC STRUCTURAL CHANGES IN SWITCHING REGIME VECTOR AUTOREGRESSIVE MODELS by V. I. Malugin

“…The method is based on a sequential application of two algorithms, realizing the Bayesian “plug-in” decision rule of point wise classification and a statistical test for expected probability of misclassification. …”
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Incorporating Machine Learning into Vibration Detection for Wind Turbines by J. Vives

“…Based on the implementation of machine learning algorithms adapted to the different components and faults of wind turbines, this study evaluates different methodologies for monitoring, supervision, and fault diagnosis.…”
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Nirmala and Banhatti-Sombor Index over Tensor and Cartesian Product of Special Class of Semigroup Graphs by Seda Oğuz Ünal

“…In this work, we calculated the Nirmala and Banhatti-Sombor index over the tensor and Cartesian product of a graph of an algebraic structure by presenting two different algorithms.…”
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Multifunctional Design Ratios for Calculating Power Losses and Energy Efficiency of Long-Distance Electricity Transmission by G. E. Pospelov, Т. G. Pospelova

“…The ratios permit to construct algorithms while designing, pricing at wholesale electricity market and can be used in the training process.…”
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Basic Theoretical Principles Pertaining to Thermal Protection of Oil Transformer by O. G. Shirokov, V. V. Kurganov, D. I. Zalizny

“…Classification of abnormal thermal modes of an oil transformer and also algorithms and methods for operation of diagnostic thermal protection of a transformer have been proposed.…”
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Solutions to Lyapunov stability problems: nonlinear systems with continuous motions by Ljubomir T. Grujic

“…The necessary and sufficient conditions for accurate construction of a Lyapunov function and the necessary and sufficient conditions for a set to be the asymptotic stability domain are algorithmically solved for a nonlinear dynamical system with continuous motions. …”
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Viscosity Approximation Methods with Errors and Strong Convergence Theorems for a Common Point of Pseudocontractive and Monotone Mappings: Solutions of Variational Inequality Probl... by Yan Tang

“…We introduce two proximal iterative algorithms with errors which converge strongly to the common solution of certain variational inequality problems for a finite family of pseudocontractive mappings and a finite family of monotone mappings. …”
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An Adaptive Fuzzy-Logic Traffic Control System in Conditions of Saturated Transport Stream by N. R. Yusupbekov, A. R. Marakhimov, H. Z. Igamberdiev, Sh. X. Umarov

“…This paper also provides efficient algorithms for implementing AFLTCS and develops the appropriate simulation models to test the efficiency of suggested approach.…”
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A Dynamical Innovation Diffusion Model with Fuzzy Coefficient and Its Application to Local Telephone Diffusion in China by Zhigao Liao, Jiuping Xu, Liming Yao

“…The numerical simulation shows the diffusion process for telephones in China with Genetic Algorithms and this model is effective to show the process of innovation diffusion with the condition of urbanization process.…”
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Bifurcation of a Microelectromechanical Nonlinear Coupling System with Delay Feedback by Yanqiu Li, Wei Duan, Shujian Ma, Pengfei Li

“…Based on the distribution of eigenvalues, we prove that a sequence of Hopf bifurcation occurs at the equilibrium as the delay increases and obtain the critical values of Hopf bifurcation. Explicit algorithms for determining the direction of the Hopf bifurcation and the stability of the bifurcating periodic solutions are derived, using the theories of normal form and center manifold.…”
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Enhancing Heart Attack Prediction with Machine Learning: A Study at Jordan University Hospital by Mohammad Alshraideh, Najwan Alshraideh, Abedalrahman Alshraideh, Yara Alkayed, Yasmin Al Trabsheh, Bahaaldeen Alshraideh

“…Notably, our research utilized a distinct dataset provided by the corresponding author, while alternative algorithms in our study achieved accuracies ranging from 85% to 90%. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…The introduction of the developed algorithms into the learning process of various architectures of multimodal neural network systems for analyzing heterogeneous data has made it possible to increase the accuracy of recognizing pigmented skin lesions by 2.33 – 5.69 percentage points, compared to the original optimization methods. …”
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An instruction dataset for extracting quantum cascade laser properties from scientific textDataverse by Deperias Kerre, Anne Laurent, Kenneth Maussang, Dickson Owuor

“…One of the main challenges in developing machine learning algorithms for extraction of QCL properties from text is lack of quality training data for these algorithms. …”
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HisCoM-mimi: software for hierarchical structural component analysis for miRNA-mRNA integration model for binary phenotypes by Yongkang Kim, Taesung Park

“…However, multiple databases can be used to find miRNA-mRNA signatures with known biological information through different algorithms. To take these additional databases into account, we present our advanced application software for HisCoM-mimi for binary phenotypes. …”
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Design and optimization of distributed energy management system based on edge computing and machine learning by Nan Feng, Conglin Ran

“…Future research can further explore how to integrate multiple machine learning algorithms to optimize energy scheduling strategies and improve the system’s adaptability in complex environments.…”
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