Numerical Approximation of the In Situ Combustion Model Using the Nonlinear Mixed Complementarity Method by Julio César Agustin Sangay, Alexis Rodriguez Carranza, Juan Carlos Ponte Bejarano, José Luis Ponte Bejarano, Eddy Cristiam Miranda Ramos, Obidio Rubio, Franco Rubio-López

“…To achieve this, we use the mixed nonlinear complementarity method (MNCP), a variation of the Newton method for solving nonlinear systems, incorporating a single Hadamard product in its formulation. …”
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Power Equipment Image Recognition Method Based on Feature Extraction and Deep Learning by Shuang Lin

“…This paper proposes an improved attention mechanism-based network for image detection and recognition of power equipment. The proposed method introduces a target feature prediction strategy tailored to power equipment: it incorporates a learning mechanism for depth variation to extract deep semantic information from images; enhances the global structure learning network module by stacking convolutional kernels and removing pooling layers in the front-end network, thereby acquiring prior information rich in detailed and correlated image features of power equipment. …”
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Optimizing downlink of CR-NOMA resource allocation: A fairness index approach to balancing system performance and energy efficiency by Nahla Nur Elmadina, Rashid A. Saeed, Elmustafa Sayed Ali, Elsadig Saeid, Rania A. Mokhtar

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Numerical Solution of Seventh-Order Boundary Value Problems by a Novel Method by Mustafa Inc, Ali Akgül

“…We demonstrate the efficiency of reproducing kernel Hilbert space method on the seventh-order boundary value problems satisfying boundary conditions. …”
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Abstraction, desalination and recharge method to control seawater intrusion into unconfined coastal aquifers by S. Sadjad Mehdizadeh, S. Badaruddin, S. Khatibi

“…The method efficiency in reducing seawater intrusion is increased when freshwater is recharged by well at outside of saltwater wedge and close to its toe position. …”
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A Multidomain Spectral Method for Analysis of Interior Vibroacoustic Systems with Segmented Boundaries by Zhenguo Zhang, Haiting Yu, Ningyuan Duan, Hongxing Hua

“…Spectral methods have previously been applied to analyze a multitude of vibration and acoustic problems due to their high computational efficiency. …”
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Pavement Crack Extraction Method from Mobile Laser Scanning Point Cloud by Anh Thu Thi Phan, Thi Ngoc Huynh

“…Research results show that reflectance intensity and elevation variation combination lead to the efficiency of crack extraction and distress area.…”
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Laor Initialization: A New Weight Initialization Method for the Backpropagation of Deep Learning by Laor Boongasame, Jirapond Muangprathub, Karanrat Thammarak

“…In contrast to traditional methods, Laor adopts a data-driven approach that enhances convergence’s stability and efficiency. …”
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Path planning method for maritime dynamic target search based on improved GBNN by Zhaozhen Jiang, Xuehai Sun, Wenlon Wang, Shuzeng Zhou, Qiang Li, Lianglong Da

“…The paper's algorithm, validated through 10,000 Monte Carlo simulations with real maritime data, significantly outperforms traditional search methods in the discovery probability and search efficiency.…”
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Analysis method combining improved AE algorithm and signal reconstruction in mechanical faults by Zhenhua Niu

“…IntroductionFault diagnosis analysis of mechanical equipment is greatly significant for maintaining the production efficiency of enterprises. Traditional diagnostic methods have shortcomings in accuracy and robustness.MethodsTherefore, the study integrates variational autoencoders with long short-term memory network models, enhances them using dropout methods, and proposes a hybrid diagnostic analysis model that combines improved autoencoder algorithms and signal reconstruction.ResultsThe experiment outcomes indicated that under the slow degradation mode of the bearing, the precision, recall, F1 score, and overall accuracy of the improved autoencoder model were 0.931, 0.933, 0.920, and 0.939, respectively, which were better than the pre-modified model. …”
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SDGTrack: A Multi-Target Tracking Method for Pigs in Multiple Farming Scenarios by Tao Liu, Dengfei Jie, Junwei Zhuang, Dehui Zhang, Jincheng He

“…In pig farming, multi-object tracking (MOT) algorithms are effective tools for identifying individual pigs and monitoring their health, which enhances management efficiency and intelligence. However, due to the considerable variation in breeding environments across different pig farms, existing models often struggle to perform well in unfamiliar settings. …”
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A fast calculation approach for thermal distribution of aircraft piston pumps based on finite difference method by Jiming MA, Haolun NING

“…The principal advantage of this methodology resides in its substantially enhanced computational efficiency. Compared with conventional finite element approaches, the proposed method reduces the simulation duration to approximately 10 % of that required by traditional algorithms under identical operational conditions.The developed methodology enables efficient and accurate simulation of critical heat generation mechanisms in piston pumps, including frictional heating and fluid leakage phenomena, while simultaneously providing comprehensive temperature distributions across pump components. …”
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Enhancing NUE in Corn Through Optimized Sensor-Based Prescription Maps by Salman Mirzaee, Ali Mirzakhani Nafchi

“…Enhancing nitrogen use efficiency (NUE) through optimized application methods can benefit agronomic productivity and environmental sustainability. …”
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THE PERSPECTIVES OF HEURISTIC OPTIMIZATION METHODS EMPLOYMENT IN A DEVELOPMENT OF RADIO AND TELECOMMUNICATION DEVICES AND SYSTEMS by A. V. Smirnov

“…Heuristic optimization methods also called metaheuristics are the efficient means for solving of such problems. …”
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The Estimating Parameter and Number of Knots for Nonparametric Regression Methods in Modelling Time Series Data by Autcha Araveeporn

“…This research aims to explore and compare several nonparametric regression techniques, including smoothing splines, natural cubic splines, B-splines, and penalized spline methods. The focus is on estimating parameters and determining the optimal number of knots to forecast cyclic and nonlinear patterns, applying these methods to simulated and real-world datasets, such as Thailand’s coal import data. …”
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Reliability Analysis of Transmission Tower Based on Unscented Transformation Under Ice and Wind Loads by Jianghong Chen, Xiaohan Zhao, Kanghao Shi, Zhiqiang Ao, Xinchao Zheng

“…It is proved that the method of reliability analysis for transmission towers based on the UT is applicable.…”
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Novel rapid molecular diagnosis methods for comprehensive genetic analysis of 21-hydroxylase deficiency by Yanjie Xia, Feng Yu, Ying Bai, Lili Jiang, Panlai Shi, Zhengwen Jiang, Xiangdong Kong

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Effects of different irrigation methods on micro-environments and root distribution in winter wheat fields by Guo-hua LÜ, Ji-qing SONG, Wen-bo BAI, Yong-feng WU, Yuan LIU, Yao-hu KANG

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Satellite Images Unsupervised Classification Using Two Methods Fast Otsu and K-means by Baghdad Science Journal

“…Two unsupervised classifiers for optimum multithreshold are presented; fast Otsu and k-means. The unparametric methods produce an efficient procedure to separate the regions (classes) by select optimum levels, either on the gray levels of image histogram (as Otsu classifier), or on the gray levels of image intensities(as k-mean classifier), which are represent threshold values of the classes. …”
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Challenges and Opportunities for Applying Meta-Heuristic Methods in Vehicle Routing Problems: A Review by Wayan Firdaus Mahmudy, Agus Wahyu Widodo, Alfabiet Husien Haikal

“…Meta-heuristic methods have emerged as a powerful solution to overcome the complexity of VRP. …”
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