Enhancing automated detection and classification of dementia in individuals with cognitive impairment using artificial intelligence techniques by Shoayee Dlaim Alotaibi, Abeer A. K. Alharbi

“…Finally, the improved salp swarm algorithm (ISSA) is implemented to choose the WNN technique’s hyperparameters optimally. …”
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SCIENTIFIC AND METHODOLOGICAL SUPPORT OF FINANCIAL EXPRESS ANALYSIS OF SMALL INDUSTRIAL ENTERPRISES OF UKRAINE by Liudmyla Sokolova, Viktor Dyuzhev, Ganna Veriasova, Oleksandr Kurdenko, Esknder Suliaman Salty Al-Fakhore

“…Obtaining up-to-date relevant information on the financial condition of small industrial enterprises is a very important task that requires a rapid financial analysis of their activities. …”
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Algorithm performance study pulse suppression of auto-oscillation phenomena in the electromechanical system of the electric traction drive in braking mode electric traction drive s... by A. V. Klimov

“…Research relevance. Modes accompanied by increased sliding of a wheel with negative viscous friction, characterized by reduction of friction force at growth of sliding speed, can arise at the movement of the vehicle. …”
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THE MODERN APPROACH TO THE EDUCATIONAL PROCESS FOR DIAGNOSIS IN DENTISTRY by I.A. Ozhogan

“…The basis of the diagnostic algorithm underline the principle of a syndromic clinical thinking and a principle of the optimal diagnostic relevance. …”
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Automatic Summarization Of Arabic Texts by Jawad Berri, Omar Alghafri

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Swipe, watch, engage by José Antonio Cortés Quesada, Arantxa Vizcaíno-Verdú

“…These results underscore the relevance of understanding how new generations engage with digital content in an increasingly controversial and algorithm-dependent environment in contrast to governmental regulations and restrictions. …”
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A Review of Optimization Methods for Pipeline Monitoring Systems: Applications and Challenges for CO₂ Transport by Teke Xu, Sergey Martynov, Haroun Mahgerefteh

“…This literature review study summarizes the monitoring objectives and identifies the problems and relevant mathematical algorithms developed for optimization of monitoring systems for pipeline transportation of water, oil, and natural gas, which can be relevant to the future CO₂ pipelines and pipeline networks for CCS. …”
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EEG channels selection for stroke patients rehabilitation using equilibrium optimizer by Al-Betar Mohammed Azmi, Alyasseri Zaid Abdi Alkareem, Makhadmeh Sharif Naser

“…Attributes are then computed for the time, entropy, and frequency domains. The EO algorithm is utilized to represent the EEG channel selection problem, transforming the features of each individual EEG into binary values and subsequently applying a k-nearest neighbor classifier technique to determine the accuracy rate. …”
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Train Neural Networks with a Hybrid Method That Incorporates a Novel Simulated Annealing Procedure by Ioannis G. Tsoulos, Vasileios Charilogis, Dimitrios Tsalikakis

“…This hybrid technique combines the well-tested technique of Genetic Algorithms with an innovative variant of Simulated Annealing, in order to achieve high learning rates for the neural networks. …”
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Variational Estimation of Optimal Signal States for Quantum Channels by Leonardo Oleynik, Junaid Ur Rehman, Hayder Al-Hraishawi, Symeon Chatzinotas

“…By employing a variational algorithm to estimate the trace distance between quantum states, we numerically determine the optimal encoding protocol for the amplitude damping and Pauli channels. …”
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Personal Identification Using Embedded Raspberry Pi-Based Face Recognition Systems by Sebastian Pecolt, Andrzej Błażejewski, Tomasz Królikowski, Igor Maciejewski, Kacper Gierula, Sebastian Glowinski

“…Potential applications include access control, surveillance, and statistical data collection, highlighting the system’s versatility and relevance.…”
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A measure of the difference between test sets for generating controlled random tests by V. N. Yarmolik, V. V. Petrovskaya, I. Mrozek

“…As an alternative to the Hungarian algorithm, an algorithm for calculating the considered difference measure is proposed, the complexity of which is much less and has an estimate equal to O(n2). …”
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Synthesis of a parametrically invariant servo drive using the model parameters recovery method by N. A. Malev

“…RELEVANCE. Servo drives operate with a law of change of the setting action unknown in advance and provide reproduction of this law by the output coordinate. …”
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Modeling and Solving the Multi-Objective Vehicle Routing Problem with Soft and Fuzzy Time Windows by Ailing Chen, Tianao Li

“…Secondly, to solve the relevant problems, this paper proposes a Directed Mutation Genetic Algorithm integrated with Large Neighborhood Search (LDGA), which fully utilizes the advantages of the Genetic Algorithm (GA) in the early stages and appropriately adopts removal and re-insertion operators from the Large Neighborhood Search (LNS). …”
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Construction of enhanced MRI-based radiomics models using machine learning algorithms for non-invasive prediction of IL7R expression in high-grade gliomas and its prognostic value... by Jie Zhou

“…For selecting the most relevant features, we utilized the Minimum Redundancy Maximum Relevance (mRMR) and Recursive Feature Elimination (RFE) algorithms. …”
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Raising the Quality of Spesialists’ Training: the Procedure Selection by M. N. Oskina

“…The application of the priority selection algorithm is exemplified by the procedures conducted in Ural State University of Railway Transport. …”
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Research on adaptive parking planning of heavy-haul trains on Shenmu-Shuozhou railway by HE Jia, YUAN Peng

“…Finally, a hardware-in-the-loop simulation platform was utilized to test and verify the proposed algorithm in three typical sections. The verification results show that the proposed algorithm achieves an average parking planning error of 1.31 meters while meeting the safety constraints , demonstrating the algorithm’s effectiveness and highlighting its value in practical engineering applications.…”
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Pure pursuit method use to control unmanned motor grader by R. Yu. Sukharev

“…Introduction. A relevant objective of implementing the advanced systems of self-driving road construction vehicles can be accomplished by mathematical modelling. …”
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A Classification-Based Blood–Brain Barrier Model: A Comparative Approach by Ralph Saber, Sandy Rihana

“…Most existing models rely on molecular descriptors to characterize drug properties. Feature selection algorithms play a crucial role in identifying the most relevant descriptors, thereby enhancing prediction accuracy. …”
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A Review of Cybersecurity Challenges in Smart Power Transformers by Hossein Rahimpour, Joe Tusek, Ahmed S. Musleh, Boyu Liu, Alsharif Abuadbba, Toan Phung, Aruna Seneviratne

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