DEVELOPMENT OF SOFTWARE FOR THE CALCULATION OF THE OPTIMUM PROFILE OF THE WATER DRAIN FRONT OF THE DAM ON OF NON-ROCK FOUNDATION by Z. A. Kurbanova

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High-resolution 2D-DoA sequential algorithm of azimuth and elevation estimation in automotive distributed system of coherent MIMO radars by I. V. Artyukhin

“…Algorithms must be developed to provide high angular resolution and low computational complexity. …”
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Application of machine learning algorithms in osteoporosis analysis based on cardiovascular health assessed by life’s essential 8: a cross-sectional study by Haolin Shi, Yangyi Fang, Xiuhua Ma

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Method for assisted-GPS positioning based on ambiguity resolution in weak signal environment by SONG Cheng, WANG Fei-xue, ZHUANG Zhao-wen

“…An assisted-GPS positioning algorithm was proposed.Based on this algorithm, the receiver needn’t accomplish the bit synchronization, frame synchronization and navigation data demodulation, which were usually necessary for the conventional GPS receiver, it could implement the positioning solution only by the measurement of pseudo-code phase and the assistance data（including ephemeris information and satellite clock corrections etc.）.Compared with the conventional GPS positioning algorithm, the proposed algorithm increases the ambiguity of the signal transmission time as an unknown parameter for the pseudorange equation.When the initial errors of approximate location and receiver’s clock bias were subjected to a constraint domain, the ambiguity of the signal transmission time could be eliminated.Then, the iteratively equation for this algorithm was derived, and the main steps were summarized.The simulation results show the validity of the algorithm.…”
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Differential diagnosis in joint and spine damages by N. V. Chichasova

“…The lecture covers main approaches to differential diagnosis in rheumatic diseases. …”
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APPLICATION OF THE ENTROPY-PROBABILISTIC MODEL OF THE X-RAY TELEVISION INTROSCOPE OPERATOR IN THE ALGORITHM OF THE COMPUTER SIMULATOR DURING TRAINING OF SECURITY SCREENING POINT EM... by A. K. Volkov, V. V. Iudaev, A. V. Dormidontov

“…The model is based on a stochastic representation of the system “operator” in the form of multi-dimensional random vector, each component of which is a random continuous value, describing the probability of dangerous goods detection forbidden for transportation by air transport. The main advantages of the proposed approach are as follows:ease of implementation and interpretation of the operator entropy model;entropy model, realized in specific algorithm, is applicable for diagnostic tasks and stochastic system “operator” control and also for effective management in the learning process.…”
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A prototype-based rockburst types and risk prediction algorithm considering intra-class variance and inter-class distance of microseismic data by Xiufeng Zhang, Guoying Li, Yang Chen, Hao Wang, Haikuan Zhang, Haitao Li, Weisheng Du, Xiao Li, Xuewei Xu, Yuze He

“…Therefore, based on the quantitative study of the relationship between the performance of a deep learning prediction algorithm and a rockburst prediction vector, a rockburst risk and type prediction algorithm based on a convolutional neural network (CNN)-gated recurrent unit (GRU) model with prototype-based prediction is proposed. …”
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Crankshaft high cycle bending fatigue test method based on the combined extended Kalman filtering algorithm and different failure criterion parameters. by Zhang Wei, Yan Ruidong, Songsong Sun, Gong Xiaolin, Liu Zhentao

“…In this paper, an accelerated bending fatigue test method for the crankshaft was proposed based on the combination of the extended Kalman filtering algorithm method (EKF) and different failure criterion parameters. …”
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Nelder-Mead algorithm optimization and Galerkin’s method thermal performance analysis of circular porous fins with various profiles in fully wet conditions by M. r. Talaghat, F. Shafiei

“…The main objective of this research is to analyze optimization and the thermal performance of circular porous fins with four different profiles, rectangular, convex, triangular and concave under fully wet conditions. …”
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Multiobjective integrated scheduling of disassembly and reprocessing operations considering product structures and stochastic processing time via reinforcement learning-based evolu... by Yaping Fu, Fuquan Wang, Zhengyuan Li, Guangdong Tian, Duc Truong Pham, Hao Sun

“…Second, a reinforcement learning-based multiobjective evolutionary algorithm is devised considering problem-specific knowledge. …”
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Using PAT for Energy Recovery and Pressure Reduction in Water Distribution Networks by Hamed Mohammadi, Mahnaz Ghaeini-Hessaroeyeh, Ehsan Fadaei-Kermani

“…Leakage is one of the main problems of urban water distribution networks. …”
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An improvement in the design process of sustainable peak power rating transformer for solar utility by Emir Yükselen, Ebrahim Rahimpour

“…This paper introduces a significant advancement in the design and optimization of a transformer dedicated to a photovoltaic power plant, which exhibits a unique loading cycle distinct from standard power and distribution transformers. The main aim is to minimize the carbon footprint by enhancing the design process to improve operational performance, efficiency, and functional reliability. …”
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Reinforcement learning algorithm for improving speed response of a five-phase permanent magnet synchronous motor based model predictive control. by Ahmed M Hassan, Jafar Ababneh, Hani Attar, Tamer Shamseldin, Ahmed Abdelbaset, Mohamed Eladly Metwally

“…This paper proposes a new reinforcement learning (RL) control algorithm based twin-delayed deep deterministic policy gradient (TD3) algorithm to tune two cascaded PI controllers in a five-phase interior permanent magnet synchronous motor (5ph-IPMSM) drive system based model predictive control (MPC). …”
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English Vocabulary Learning Aid System Using Digital Twin Wasserstein Generative Adversarial Network Optimized With Jelly Fish Optimization Algorithm by Fei Wu

“…Words are the fundamental unit of analysis in deep-level grammatical and semantic analysis. The main goal of NLP is typically word segmentation. …”
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Evolutionary approach for composing a thoroughly optimized ensemble of regression neural networks by Lazar Krstic, Milos Ivanovic, Visnja Simic, Boban Stojanovic

“…The paper presents the GeNNsem (Genetic algorithm ANNs ensemble) software framework for the simultaneous optimization of individual neural networks and building their optimal ensemble. …”
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Micro-Vibration Control of Deployable Space Optical Imaging System Using Distributed Active Vibration Absorbers by Zhuo Chen, Guangyuan Wang, Chuanwen Zhu, Feihu Liu, Kuai Yu, Yongsheng Wu

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Semiparametric Transformation Models with a Change Point for Interval-Censored Failure Time Data by Junyao Ren, Shishun Zhao, Dianliang Deng, Tianshu You, Hui Huang

“…Model parameters are estimated via the EM algorithm, with the change point identified through a profile likelihood approach using grid search. …”
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APPLICATION OF MODELS OF INFORMATION AND ANALYTICAL SUPPORT SYSTEMS FIRE FIGHTING RESCUE UNITS by O. I. Stepanov, S. A. Khudyakova

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Optimizing Customer Data Security in Water Meter Data Management Based on RESTful API and Data Encryption Using AES-256 Algorithm by Syahrul Adrianto, Bambang Agus Herlambang, Ramadhan Renaldy

“…Good, accurate and secure data management is certainly one of the main needs for companies that provide public services. …”
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Optimization of a macro-algae-based biodiesel supply chain: a multi-objective approach by Prajwal Panwar, Anubhav Pratap Singh, Anand Chauhan, Ritu Arora

“…The proposed multi-objective optimization model is implemented using the Genetic Algorithm. Three macro-algae species (Ulva fasciata, Cystoseira indica and Gracilaria corticata) are strategically integrated into an extensive network of bio-refineries, biodiesel depots, multi-extraction centres and diverse supply sources. …”
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