Simulation of Vertical Movements of Seawater in Stratified Reservoirs by N. V. Kudinov, A. A. Filina, A. V. Nikitina, D. V. Bondarenko, I. F. Razveeva

“…Difference operators approximated differential operators. An algorithm for layer-by-layer modeling of transients was constructed. …”
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A three-dimensional Moho depth model beneath the Yemeni highlands and rifted volcanic margins of the Red Sea and Gulf of Aden, Southwest Arabia by Amin Noman Al Kadasi

“…In this work, a 3D Moho depth model of the study area is constructed for the first time by inverting gravity data from the Earth Gravitational Model (EGM2008) using the Parker-Oldenburg algorithm. …”
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RUL prediction method based on cross-view hybrid network model by Ai Yandi, Fang Dong, Tian Zhiping, Yan Kaiyang

“…Firstly, a dual-channel feature extraction hybrid network (DCF-HybridNet) is constructed. The original features are decomposed into time-frequency features and implicit spatial features through short-time Fourier transform (STFT) and Gramian angular difference field (GADF) - CNN, and then fused into a comprehensive feature representation with cross information. …”
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Applications and advances of multi-omics technologies in gastrointestinal tumors by Yuqing Liu, Feng Gao, Yang Cheng, Liang Qi, Haining Yu

“…Furthermore, emerging fields such as epigenomics, metagenomics, and lipidomics, through the construction of multi-scale frameworks, have opened new paths for molecular subtyping and targeted therapy. …”
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Kinematics Analysis and Trajectory Optimization of the Hybrid Welding Robot by Cai Ganwei, Ban Caixia, Tian Junwei, Zhang Kechen

“…With the rapid development of robot industrialization and intelligence, welding robots are widely used in construction, machinery and other fields, and the motion performance and trajectory planning capabilities of robots directly affect the quality of welding. …”
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Spatial Semantic Expression of Terrain Viewshed: A Data Mining Method by Cheng Zhang, Yiwen Wang, Haozhe Cheng, Wanfeng Dou

“…With the rapid development of geographic information technology, the expression of topographical spatial semantic relationships has become a research hotspot in the field of intelligent geographic information systems. …”
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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

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Determination of Fire Resistance of Eccentrically Loaded Reinforced Concrete Columns Using Fuzzy Neural Networks by Marijana Lazarevska, Ana Trombeva Gavriloska, Mirjana Laban, Milos Knezevic, Meri Cvetkovska

“…Artificial neural networks, in interaction with fuzzy logic, genetic algorithms, and fuzzy neural networks, represent an example of a modern interdisciplinary field, especially when it comes to solving certain types of engineering problems that could not be solved using traditional modeling methods and statistical methods. …”
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Development of Automated 3D LiDAR System for Dimensional Quality Inspection of Prefabricated Concrete Elements by Shuangping Li, Bin Zhang, Junxing Zheng, Dong Wang, Zuqiang Liu

“…Field experiments comparing the system’s measurements with manual measurements on prefabricated bridge columns demonstrated that the system’s average measurement error was approximately 5 mm. …”
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Decision-making method for residual support force of hydraulic supports during pressurized moving under fragmented roof conditions in ultra-thin coal seams by ZHANG Chuanwei, ZHANG Gangqiang, LU Zhengxiong, LI Linyue, HE Zhengwei, GONG Lingxiao, HUANG Junfeng

“…To address this challenge, this study proposed a novel decision-making method based on a Deep Hybrid Kernel Extreme Learning Machine (DHKELM) optimized by an Improved Dung Beetle Optimization (IDBO) algorithm. The DHKELM model was constructed by incorporating an Extreme Learning Machine Autoencoder (ELM-AE) into the Hybrid Kernel Extreme Learning Machine (HKELM) framework, enhancing its feature extraction capability and nonlinear mapping efficiency for complex inputs. …”
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Optimal Path Choice in Railway Passenger Travel Network Based on Residual Train Capacity by Fei Dou, Kai Yan, Yakun Huang, Li Wang, Limin Jia

“…Passenger’s optimal path choice is one of the prominent research topics in the field of railway passenger transport organization. …”
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Reducing the Effects of City Heat Islands Through Cool Pavement Materials (Case Study: District 8 of Tabriz Metropolis) by Asghar Abedini, Mojtaba Azmoun, Kiarash Azarkish, Sina Moshtaghi

“…Finally, practical solutions have been presented in connection with the use of cool materials in the construction of designated thermal islands in District 8 of Tabriz city.…”
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SAR ship target detection method based on CNN structure with wavelet and attention mechanism. by Shiqi Huang, Xuewen Pu, Xinke Zhan, Yucheng Zhang, Ziqi Dong, Jianshe Huang

“…To solve this problem, a new convolutional neural network (CNN) method based on wavelet and attention mechanism was proposed in this paper, called the WA-CNN algorithm. The new method uses the U-Net structure to construct the network, which not only effectively reduces the depth of the network structure, but also significantly improves the complexity of the network. …”
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Research on intelligent routing with VAE-GAN in the internet of body. by Song Qian, Tianping Zhang, Siping Hu

“…This paper proposes an artificial intelligence routing algorithm, combines the variational autoencoder (VAE) and the generative adversarial network model (GAN) to construct a VAE-GAN model to generate multiple sets of data to achieve data enhancement on the Internet of Body. …”
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Real-Time State Evaluation System of Antenna Structures in Radio Telescopes Based on a Digital Twin by Hanwei Cui, Binbin Xiang, Shike Mo, Wei Wang, Shangmin Lin, Peiyuan Lian, Wei Wang, Congsi Wang

“…The K-nearest neighbor (KNN) algorithm and radial basis function (RBF) interpolation algorithm are utilized to construct the virtual–physical mapping model of the antenna, enabling rapid prediction and evaluation of the antenna structure state. …”
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Inversion Model for Total Nitrogen in Rhizosphere Soil of Silage Corn Based on UAV Multispectral Imagery by Hongyan Yang, Jixuan Yan, Guang Li, Weiwei Ma, Xiangdong Yao, Jie Li, Qihong Da, Xuchun Li, Kejing Cheng

“…A total of 18 models based on machine learning algorithms, including BP neural networks (BPNNs), random forest (RF), and partial least squares regression (PLSR), were constructed to compare the most suitable inversion model for TN in the rhizosphere soil (0–30 cm) of silage corn at different growth stages. …”
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Modeling of erosion processes in open channels by M. R. Magomedova

“…The principles of developing a model of erosion processes in open channels, the modular structure of the calculation algorithms and programs compiled on its basis, allow us to continuously improve the methods for calculating individual parameters of the erosion process and make adjustments to the corresponding modules of algorithms.…”
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Noninvasive Intracranial Source Signal Localization and Decoding with High Spatiotemporal Resolution by Hao Zhang, Xue Wang, Guowei Chen, Yanqiu Zhang, Xiqi Jian, Feng He, Minpeng Xu, Dong Ming

“…In view of this, this study established a transcranial focused ultrasound numerical simulation model and experimental platform based on a real brain model and a 128-array phased array, further constructed a 3-dimensional transcranial multisource dipole localization and decoding numerical simulation model and experimental platform based on the acoustic field platform, and developed a high-precision localization and decoding algorithm. …”
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AstroM3: A Self-supervised Multimodal Model for Astronomy by M. Rizhko, J. S. Bloom

“…One surprising highlight is the “rediscovery” of Mira subtypes and two rotational variable subclasses using manifold learning and dimensionality reduction algorithms. To our knowledge this is the first construction of an n  > 2 mode model in astronomy. …”
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Data transmission system with encryption by chaotic sequences by R. L. Politans’kyy, P. M. Shpatar, A. V. Hres, A. D. Verigha

“…Encryption of pseudorandom sequences can be performed by using generation algorithms which are implemented on the basis of the phenomenon of dynamical chaos, which is sensitive to changes in the initial conditions. …”
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