Gait Tracking Control of Quadruped Robot Using Differential Evolution Based Structure Specified Mixed Sensitivity H∞ Robust Control by Petrus Sutyasadi, Manukid Parnichkun

“…This paper proposed a control algorithm that guarantees gait tracking performance for quadruped robots. …”
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RECOGNITION OF NATURAL CAPITAL IN FINANCIAL REPORTING IN THE CONTEXT OF THE SOCIO-ECONOMIC PARADIGM: PRACTICE OF THE REPUBLIC OF MOLDOVA AND INTERNATIONAL EXPERIENCE by Irina GOLOCHALOVA, Maria COJOCARU

“…This trend led to the transition to the socio-economic paradigm of financial reporting, which predetermines its revolutionary transformations, one of which is finding ways to recognize natural capital (NC) and disclose information about its impact on the value of the business as a whole. This article puts forward and proves the hypotheses, which leads to the following conclusion: the recognition of NC as an element of financial reporting is an imperative of the socio-economic reporting paradigm. …”
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Development of an Automatic System to Detect and Spray Herbicides in Corn Fields by Mustafa Üçgül, Hayrettin Karadöl, Ali Aybek

“…However, in conventional applications chemicals are generally applied to whole field surface. Therefore, non-targeted areas are also sprayed. …”
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Research on knowledge concept extraction method based on few-shot learning and chain-of-thought prompting by SHE Linlin, XIONG Longyang, LU Xuesong

“…Experimental results on multiple datasets demonstrate that the few-shot learning and chain-of-thought prompting for knowledge concept extraction method, onthe whole, has shown results superior over existing methods.…”
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INVESTIGATION ON FINITE ELEMENT MODELING METHOD OF WITH TRIPLE JUNCTION POLYCRYSTALLINE INTERGRANULAR FRACTURE by SHI JunLin, ZHAO JianPing

“…Cohesive zone model was used to simulate polycrystalline intergranular fracture at the grain level model,the finite element model build-ing reflected the actual situation is a difficult point.In this paper,Mixed Programming of Matlab,Python and Abaqus,An algorithm was presented which can easily and quickly generated Voronoi geometric model and the grain sizes distribution agrees with lognormal distribution.Realized the automatically insert the zero-thickness cohesive interface element by writing nodes and elements at crystal boundary,firstly solved the void zone at the intersection of the three zerothickness cohesive element,which is the triple junction,And to make up the defect of cohesive zone model.The whole process of the finite element analysis was performed automatically by secondary development,including the assignation material properties,material orientation,load application,model solution.Finally,polycrystalline aluminum was used as an example to simulate the intergranular fracture process without the initial damage.The results show that the method is more effectively and practically,which can be used to simulate polycrystalline intergranular crack initiation and propagation in random microscopic grains.…”
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Solution of methodological problems in selection of methods of euthrophic water bodies’ rehabilitation by Aleksandr N. Popov, Valery F. Mukhutdinov

“…However, at present in Russia there is no single algorithm and method for pre-design engineering/ecological surveying, no recommendations on optimal choice of rehabilitation methods for a specific water body with taking into account the whole integrity of impact and connections of aquatic, ground, and aerial ecosystems, as well as anthropogenesis. …”

Forecasting COVID-19 cases based on mobility by Mehmet Şahin

“…These countries represent around 57% of the total cases in the whole world. In this context, various machine learning algorithms are implemented to obtain accurate predictions. …”
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Classification-based point cloud denoising and 3D reconstruction of roadways by Denghong CHEN, Ning PANG, Wen NIE, Juqiang FENG, Jiliang KAN, Jinjing ZHANG

“…The reconstruction algorithm could reduce holes effectively while maintaining the accuracy and smoothness of the roadway model. …”
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Normalized Intrinsic Deep Features Based Zero-Watermarking Scheme for Remote Sensing Images Using U-Net and K-Means by Jie Zhang, Xu Xi, Jinglong Du, Xin He, Mingkang Wu, Yi Wei

“…To address the issue, a novel zero-watermarking algorithm based on U-Net and K-means is proposed. The algorithm employs a neural network to extract intrinsic deep features from remote sensing images to construct zero-watermarks, thereby enhancing the algorithm’s security while ensuring adaptability to different types of remote sensing images. …”
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A Fuzzy-Logic-Based Approach for Eliminating Interference Lines in Micro Rain Radar (MRR-2) by Kwonil Kim, GyuWon Lee

“…While there is a slight tendency to eliminate some weak precipitation, results indicate that the algorithm effectively removes interference lines while preserving the majority of genuine precipitation signals, even in complex scenarios where both interference and precipitation signals are present. …”
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Optimal estimation of cloud properties from thermal infrared observations with a combination of deep learning and radiative transfer simulation by H. Huang, Q. Wang, C. Liu, C. Zhou

“…<p>While traditional thermal infrared retrieval algorithms based on radiative transfer models (RTMs) could not effectively retrieve the cloud optical thickness of thick clouds, machine-learning-based algorithms were found to be able to provide reasonable estimations for both daytime and nighttime. …”
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ZZ-YOLOv11: A Lightweight Vehicle Detection Model Based on Improved YOLOv11 by Zhe Zhang, Zhongyang Zhang, Gang Li, Chenxi Xia

“…Firstly, the current mainstream target detection algorithms lack components to improve the network’s focus on the edges of the objects, which can indirectly lead to unclear classification and localization. …”
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An Integrated Fault Diagnosis Method for Rotating Machinery Based on Improved Multivariate Multiscale Amplitude-Aware Permutation Entropy and Uniform Phase Empirical Mode Decomposi... by Jiancheng Gong, Xiaoqiang Yang, Fan Pan, Wuqiang Liu, Fuming Zhou

“…This algorithm is combined with the Uniform Phase Empirical Mode Decomposition (UPEMD) method and the t-distributed Stochastic Neighbor Embedding (t-SNE) method, forming a new time-frequency multiscale feature extraction method. …”
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Parameter estimation and speed control of real DC motor with low resolution encoder by Celal Onur Gökçe, Mahmut Esat İpek, Mehmet Dayıoğlu, Rıdvan Ünal

“…For parameter estimation, a popular iterative optimization algorithm, namely Particle Swarm Optimization (PSO), is used. …”
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Pan-tropical daily L-band microwave land surface emissivity retrieval from GNSS-R observations by Yifan Zhu, Fei Guo, Xiaohong Zhang, Wentao Yang

“…Then, the method employs a pixel-by-pixel regression algorithm to conduct the daily MLSE retrieval using reference emissivity derived from the Soil Moisture Active Passive (SMAP) brightness temperature. …”
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Personal air cleaning by a user-tracking robot equipped with a nanofiber air cleaner in a large work space by Chengzhong Deng, Zhuolun Niu, Chun Chen

“…In large work spaces, such as logistics warehouses, implementing whole-space air cleaning to protect the workers’ health can be costly. …”
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AI-assisted hyper-dimensional broadband quantum memory with efficiency above 90% in warm atoms by Zeliang Wu, Jinxian Guo, Zhifei Yu, Wenfeng Huang, Chun-Hua Yuan, Weiping Zhang, L. Q. Chen

“…To ensure high memory efficiency, an artificial intelligence algorithm, a modified Differential Evolution (DE) algorithm using Chebyshev sampling, is developed to obtain a perfect signal-control waveform matching. …”
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Improved grey wolf optimization for parameter extraction of polycrystalline and mono crystalline solar PV panels using double diode model by Madhusudana Rao Ranga, Venkateswara Rao Bathina, Srikumar Kotni

“…In this paper an enhanced version of the Grey Wolf Optimizer (GWO) algorithm called Improved Grey Wolf Optimizer (IGWO) has been proposed for extraction of parameters. …”
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Seismic clusters and fluids diffusion: a lesson from the 2018 Molise (Southern Italy) earthquake sequence by Stefania Gentili, Piero Brondi, Giuliana Rossi, Monica Sugan, Giuseppe Petrillo, Jiancang Zhuang, Stefano Campanella

“…We explored how the significant discrepancies in these methods’ results affect the result of NExt STrOng Related Earthquake (NESTORE) algorithm—a method to forecast strong aftershocks during an ongoing cluster—previously successfully applied to the whole Italian territory. …”
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Active Control of Nonlinear Suspension System Using Modified Adaptive Supertwisting Controller by Jagat J. Rath, Kalyana C. Veluvolu, Michael Defoort

“…The objective of any control action provided to the suspension is to improve ride comfort while ensuring road holding for the vehicle. In this work, a robust higher order sliding mode algorithm combining the merits of the modified supertwisting algorithm and the adaptive supertwisting algorithm has been proposed for the nonlinear active suspension system. …”
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