Parallel Simulation Multi-Sample Task Scheduling Approach Based on Deep Reinforcement Learning in Cloud Computing Environment by Yuhao Xiao, Yping Yao, Feng Zhu

“…In a real cloud environment, the proposed method demonstrates runtime reductions of 4–11% and execution cost savings of 11–22% compared to the Round-Robin algorithm, Best Fit algorithm, and genetic algorithm.…”
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Electrical Storm Optimization (ESO) Algorithm: Theoretical Foundations, Analysis, and Application to Engineering Problems by Manuel Soto Calvo, Han Soo Lee

“…These adjustments enable the ESO to adapt in real-time to various optimization scenarios, steering the search toward potential optima. …”
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Data-Driven Identification of Gas Turbine Engine Dynamics via Koopman Operator Genetic Algorithm by David Grasev

“…The prediction error was given by a numerical integration of lifted state-space equations as it reflects the usage of the model for real-time prediction in practice. Effects of parameter settings were analyzed. …”
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Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis by Yong Lv, Jie Luo, Cancan Yi

“…In this paper, an improved linear frequency-modulated (Ilfm) function as an atom is employed in the proposed enhanced orthogonal matching pursuit (EOMP) algorithm. …”
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Genetically Engineered Biologic Drugs in Management of Children with Bronchial Asthma by Svetlana V. Zaytseva, Anna U. Tomilova, Olga V. Zaytseva, Olga B. Voronina, Olga A. Murtazaeva, Valeriy A. Mukhortykh, Irina N. Tsymbal

“…Two years of anti-IgE treatment experience in inpatient pediatric department settings demonstrates that omalizumab inclusion to treatment of children with severe asthma resistant to standard therapy allows to solve asthma symptoms, to forgo high doses inhaled glucocorticosteroids, to improve lung function parameters, and to increase significantly quality of life in 95% of our patients.…”
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A New Logarithmic Tangent-U Family of Distributions with Reliability Analysis in Engineering Data by Meshayil Meshal Alsolmi

“…This article introduces a new family of distributions through the transformation involving tangent functions, referred to as the New Logarithmic Tangent-U family. …”
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Inverse analysis method for mathematical modeling of hydrodynamic ballast in a drilling rig by I. R. Antypas, A. G. Dyachenko, B. I. Saed

“…Based on the results obtained, in future studies it is advisable to test the created model in the field with a real payload.…”
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Obstacle shape determination by mobile robot sensor system using GP2Y0A (Sharp) type IR distance sensors by V. P. Andreev

“…To solve this problem, an infrared (IR) analog distance sensor is often used, the information flow from which is relatively small and can be processed in real time using low-performance microcontrollers. …”
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Vulnerability-Based Economic Loss Rate Assessment of a Frame Structure Under Stochastic Sequence Ground Motions by Zheng Zhang, Yunmu Jiang, Zixin Liu

“…Using the magnitude difference between a mainshock and an aftershock as the control variable, we derive attenuation relationships for the amplitude, frequency content, and duration. A coherence function model is further developed from real seismic records, treating the mainshock–aftershock pair as a vector-valued stochastic process and thus enabling a more accurate representation of their spectral dependence. …”
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Correlation and path analysis of interaction between snap beans yield and its components with crop management by N. Shaban

“…Results showed that fresh weight of pod/studied variant (+++0.99), fresh weight of one pod (+++0.77), fresh weight of pods/ plant (+++0.67), calcium content in bean pods (++0.57), pods number /plant (++0.51), pollen fertility (++0.44) had positive impact on yield. The partial function of the studied parameters on variability of bean yield is 98.9%. …”
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The Effect of Low-Level Laser Therapy on the Expression of 3β-HSD and StAR Genes in the Ovaries of NMRI Mice by Mehdi Aghamardi, Mitra Barzroodipour, Nastaran Azarbarz, Mohammadreza Bayatiani, Mohammad Bayat

“…Conclusion: Low-level laser therapy combined with ovulation induction significantly increases the expression of key steroidogenesis genes and improves ovarian histological parameters, thereby enhancing the number and quality of oocytes and overall ovarian function. …”
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Acoustic modelling of machines using the inversion method for the purposes of the acoustic assessment of machines by Dariusz PLEBAN

“…To calculate these parameters by using the inversion method one must know the real distribution of sound pressure around the machine. …”
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Statistical Analysis of Inverse Weibull based on Step-Stress Partially Accelerated Life Tests with Unified Hybrid Censoring Data by Amal Soliman Hassan, Abd ELwahab Hagag, Nader Metwally, Omar Hussein Sery

“…The squared error loss function is used to calculate the Bayes point estimates based on the assumption of independent gamma priors. …”
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Research on Anisotropic Characteristics of Rock and Intelligent Recognition of Precursory Signal by Nan Li, Zhibo Zhang, Majid Khan, Shaohua Zhang, Xianan Liu, Shujie Li

“…Furthermore, a quantitative relationship between multifractal parameter Δα and stress σ is proposed. It indicates that the parameters Δα and σ satisfy the power function. …”
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Active RIS-NOMA Uplink in URLLC, Jamming Mitigation via Surrogate and Deep Learning by Ghazal Asemian, Mohammadreza Amini, Burak Kantarci

“…The study incorporates finite blocklength (FBL) and Automatic Repeat Request (ARQ) strategies to handle real-world complex configurations effectively. A thorough examination of various network parameters is conducted, including user transmit powers, active RIS elements amplitude, and the number of RIS elements. …”
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An Innovative Bio-Vehicle for Resveratrol and Tocopherol Based on Quinoa 11S Globulin—Nanocomplex Design and Characterization by Alejandra J. Rubinstein, Guadalupe Garcia Liñares, Valeria Boeris, Oscar E. Pérez

“…Nanocomplexes, which possess immense potential to function as nanovehicles, can link diverse ligand compounds. …”
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

“…Integrating the complete intersection over union (CIoU) loss function addresses standard IoU limitations by factoring in aspect ratio and bounding box center distance. …”
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Hybrid fuzzy logic–PI control with metaheuristic optimization for enhanced performance of high-penetration grid-connected PV systems by Mohamed Ahmed Ebrahim Mohamed, Sayed A. Ward, Mohamed F. El-Gohary, M. A. Mohamed

“…These techniques are used to simultaneously fine-tune all the gain parameters of FLC-PI control, based on four standard error-based objective functions: Integral Absolute Error (IAE), Integral Square Error (ISE), Integral Time Absolute Error (ITAE), and Integral Time Square Error (ITSE). …”
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Simulated uterine contractions: Graph theory and connectivity-based analysis of EHG signals by Kamil Bader Eldine, Noujoud Nader, Mohamad Khalil, Catherine Marque

“…The differences seen between the selection performed by Fscore on real and simulated EHG signals show that when employing the mean function, the best features are H2(Str), FW_h2 alone, and in combination with PR, BC, and CC. …”
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Artificial intelligence for screening and early diagnosis of pancreatic neoplasms in the context of centralization of the laboratory service in the region by S. I. Panin, V. A. Suvorov, A. V. Zubkov, S. A. Bezborodov, A. A. Panina, N. V. Kovalenko, A. R. Donsckaia, I. G. Shushkova, A. V. Bykov, Ya. A. Marenkov

“…In the course of factor analysis, 11 parameters were selected from 62 laboratory blood parameters, the dynamics of changes in which should be specifically assessed at the stages of screening and early diagnosis of pancreatic neoplasms. …”
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