Short-Term Photovoltaic Power Forecasting Based on the VMD-IDBO-DHKELM Model by Shengli Wang, Xiaolong Guo, Tianle Sun, Lihui Xu, Jinfeng Zhu, Zhicai Li, Jinjiang Zhang

“…A short-term photovoltaic power forecasting method is proposed, integrating variational mode decomposition (VMD), an improved dung beetle algorithm (IDBO), and a deep hybrid kernel extreme learning machine (DHKELM). …”
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Upper Ocean Thermal Responses to Sea Spray Mediated Turbulent Fluxes during Typhoon Passage by Lianxin Zhang, Changlong Guan, Chunjian Sun, Siyu Gao, Shaomei Yu

“…Both a macroscopical sea spray momentum flux algorithm and a microphysical heat and moisture flux algorithm are included in this turbulent model. …”
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Antioxidants and Cognitive-Behavioral Therapy in Patients with Functional Dyspepsia by T. V. Sapozhnikova, S. A. Parfenov, T. E. Yesina, K. V. Sapozhnikov, A. N. Smirnov, A. A. Paulov, D. M. Rizakhanov, O. A. Rizakhanova

“…Аim: development of an algorithm for the use of antioxidant cognitive-behavioral therapy in adult patients with functional dyspepsia.Material and methods. …”
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Research on Airport Target Recognition under Low-Visibility Condition Based on Transfer Learning by Jiajun Li, Yongzhong Wang, Yuexin Qian, Tianyi Xu, Kaiwen Wang, Liancheng Wan

“…Therefore, the low-visibility image is processed with 11 different fog removals and vision enhancement algorithms, and then, the GoogLeNet deep neural network algorithm is used to identify the image. …”
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Machine Learning-Based Classification of Turkish Music for Mood-Driven Selection by Nazime Tokgöz, Ali Değirmenci, Ömer Karal

“…However, when the MI algorithm was applied, SVM exhibited the best accuracy at 0.8068. …”
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Highly reliable switched reluctance motor for the traction electric drive system of railway rolling stock by E. E. Miroshnichenko

“…The task has been set, which consists in developing an algorithm that allows to calculate the characteristics of the traction switched reluctance motor at the stages of design and production, taking into account the forces of a oneway magnetic attraction. …”
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Feature Extraction of Music Signal Based on Adaptive Wave Equation Inversion by Tianzhuo Gong, Sibing Sun

“…In the test function group and the recorded music signal library, a large number of simulation experiments and comparative analysis of the music signal recognition experiment were performed on the extracted features, which verified the time-frequency analysis performance of the wave equation inversion and the improvement of the decomposition algorithm. The features extracted by the wave equation inversion have a higher recognition rate than the features extracted based on the standard decomposition algorithm, which verifies that the wave equation inversion has a better decomposition ability.…”
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Filtering Data of High-Resolution Terrestrial Laser Scanner and Effects of Filtrations on the Landslide Monitoring by Mustafa Zeybek, İsmail Şanlıoğlu, Aşır Genç

“…Point cloud filtering algorithm has automatically obtained two filtered data as the ground and the non-ground. …”
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Multiobjective Optimization of Composite Material Seat Plate for Mortar Based on the Hybrid Surrogate Model by Fengfeng Wang, Chundong Xu, Lei Li

“…Then, in order to improve the optimization efficiency and robustness of the algorithm, a multiobjective optimization algorithm based on the Chebyshev combination pattern is used to solve the mixed surrogate model. …”
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Optimal Learning Behavior Prediction System Based on Cognitive Style Using Adaptive Optimization-Based Neural Network by Ghada Aldabbagh, Daniyal M. Alghazzawi, Syed Hamid Hasan, Mohammed Alhaddad, Areej Malibari, Li Cheng

“…The results demonstrate that the algorithm proposed in this study can automatically learn network structures competitively, unlike those achieved for neural networks through standard approaches.…”
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On Constructing Strongly Connected Dominating and Absorbing Set in 3-Dimensional Wireless Ad Hoc Networks by Jiarong Liang, Meng Yi, Weiguang Zhang, Yanyan Li, Xinyu Liang, Bin Qin

“…Our simulations show the feasibility of the algorithm proposed in this paper.…”
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Nature-Inspired Metaheuristics for Two-Agent Scheduling with Due Date and Release Time by Hongwei Li, Yuvraj Gajpal, Chirag Surti, Dongliang Cai, Amit Kumar Bhardwaj

“…This paper provides mathematical models, heuristic algorithms, and two nature-based metaheuristic algorithms to solve the problem. …”
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Collaborative Optimization of Container Liner Slot Allocation and Empty Container Repositioning Within Port Clusters by Wenmin Wang, Cuijie Diao, Wenqing He, Zhihong Jin, Zaili Yang

“…To solve the model, a new branch-and-bound algorithm based on Lagrangian relaxation and the ascendancy principle (BBLRAP) is developed. …”
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Rag‐bull rider optimisation with deep recurrent neural network for epileptic seizure detection using electroencephalogram by Prabin Jose Johnrose, Sundaram Muniasamy, Jaffino Georgepeter

“…A novel method, namely, a rag‐Rider optimisation algorithm (rag‐ROA) is devised for training a deep recurrent neural network (Deep RNN) to discover epileptic seizures. …”
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Model of asynchronous motor taking into account its magnetic system saturation on basis of Takagi–Sugeno method by N. M. Zaytseva

“…The algorithm implementing saturation of the engine magnetic system is developed with help of TakagiSugeno fuzzy inference. …”
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Vehicle Flow Detection and Tracking Based on an Improved YOLOv8n and ByteTrack Framework by Jinjiang Liu, Yonghua Xie, Yu Zhang, Haoming Li

“…In the tracking module, we incorporate the ByteTrack algorithm and train unique vehicle re-identification (Re-ID) features, ensuring robust multi-object tracking in complex environments and improving the stability and accuracy of vehicle flow tracking. …”
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Deployment Optimization of Connected and Automated Vehicle Lanes with the Safety Benefits on Roadway Networks by Zhibo Gao, Zhizhou Wu, Wei Hao, Kejun Long

“…After that, a genetic algorithm was designed to solve the model. Finally, a medium-scaled traffic network was selected to verify the effectiveness of the proposed model and algorithm. …”
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Partitioned Strong Coupling of Discrete Elements with Large Deformation Structural Finite Elements to Model Impact on Highly Flexible Tension Structures by Klaus Bernd Sautter, Tobias Teschemacher, Miguel Ángel Celigueta, Philipp Bucher, Kai-Uwe Bletzinger, Roland Wüchner

“…Moreover, the proposed algorithm enables the application of two independent, standalone codes for simulating DEM and structural FEM as blackbox solvers. …”
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The influence of pedagogical reflection on design educational and professional plans of future teachers. by M. A. Golovchin

“…The  algorithm  was  tested  on  data  from  a  questionnaire  survey  conducted  in  2023  by  the Voluntary Research Center of the Russian Academy of Sciences (RAS) among graduates studying to become teachers in the Vologda region. …”
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Comparative (Computational) Analysis of the DNA Methylation Status of Trinucleotide Repeat Expansion Diseases by Mohammadmersad Ghorbani, Simon J. E. Taylor, Mark A. Pook, Annette Payne

“…We have combined this data and used a pattern searching algorithm to identify motifs in the DNA surrounding aberrantly methylated CpGs found in the DNA of patients with one of the three trinucleotide repeat (TNR) expansion diseases: fragile X syndrome (FRAXA), myotonic dystrophy type I (DM1), or Friedreich’s ataxia (FRDA). …”
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