The Development Path and Carbon-Reduction Method of Low-Carbon Pilot Urban Areas in China by Lining Zhou, Qingqin Wang, Haizhu Zhou, Yiqiang Jiang, Rongxin Yin, Tong Lu

“…At the same time, after comparing models, such as random forest and support vector machine, the XGBoost algorithm is adopted for short-term prediction (R² = 0.984, MAE = 0.195). …”
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Study on rapid calculation and imaging simulation of aircraft infrared radiation characteristics by Huicheng Yang, Qingzhen Yang, Yongqiang Shi, Xubo Du, Xinyuan Liu

“…A rapid simulation method for calculating the infrared characteristics of targets is proposed by combining the discrete transfer method. By constructing the aerodynamic shape of a Su-27-like aircraft, the flow field parameters and skin temperature under cruise conditions were calculated. …”
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CALCULATION MODEL OF SOLID PARTICLES MOTION IN NATURAL TURBULENT FLOWS by M. R. Magomedova

“…Such a model is implemented by integrating averaged equations and vortex formations using a mathematical apparatus.Conclusion The calculated model of the movement of solid particles is implemented in the algorithmic language Fortran Power Station and tested on the basis of field and experimental studies in a wide range of hydraulic flow characteristics and physical and mechanical characteristics of channel soils.…”
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Vertically Moving Target Localization Based on Interference Feature Matching Using a Single Hydrophone by Chunpeng Zhao, Guolong Liang, Longhao Qiu, Jinjin Wang, Wenfeng Dong

“…To address the performance degradation of traditional underwater target localization algorithms in high-speed motion scenarios, this paper proposes a vertically moving localization method based on interference feature matching using a single hydrophone. …”
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C-privacy: A social relationship-driven image customization sharing method in cyber-physical networks by Dapeng Wu, Jian Liu, Yangliang Wan, Zhigang Yang, Ruyan Wang, Xinqi Lin

“…Cyber-Physical Networks (CPN) are comprehensive systems that integrate information and physical domains, and are widely used in various fields such as online social networking, smart grids, and the Internet of Vehicles (IoV). …”
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Enhancing Laser-Induced Breakdown Spectroscopy Quantification Through Minimum Redundancy and Maximum Relevance-Based Feature Selection by Manping Wang, Yang Lu, Man Liu, Fuhui Cui, Rongke Gao, Feifei Wang, Xiaozhe Chen, Liandong Yu

“…Laser-induced breakdown spectroscopy (LIBS) is a rapid, non-contact analytical technique that is widely applied in various fields. However, the high dimensionality and information redundancy of LIBS spectral data present challenges for effective model development. …”
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Multiple-Cumulant-Matrices-Based Method for Exact NF Polarization Localization with COLD Array by Jiefeng Zheng, Haifen Meng, Zhuang Luo, Huayue Wu, Weiyue Liu, Hua Chen

“…However, their dense deployment extends the near-field (NF) region, introducing new localization complexities. …”
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Investigation of the impact of service parameters on the degree of passenger satisfaction based on the application of the apparatus of neural networks by S. S. Pastukhov, K. V. Stel’Mashenko

“…As a result, in order to obtain the maximum of objective information necessary for developing solutions in the field of quality management of transport services of the passenger complex, it is proposed to use a new modification of the universal complex mechanism for studying the influence of various service parameters on the level of customer satisfaction, including a set of regression algorithms, the apparatus of neural networks and nonparametric statistics toolkit.…”
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Molecular logic gates based on programmable self-assembly of DNA origami triangles for the detection of nucleic acid molecules by Si Sun, Jin-Da Wen, Qian-Ru Xiao, Xiao-Li Qiang, Xiao-Long Shi

“…By coupling the programmability of DNA nanostructures with molecular recognition logic, the platform constructs autonomous systems capable of interpreting biological signals via predefined algorithms. …”
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Single-Frame Infrared Target Detection Based on Fast Content-Related Modeling by Zipeng Zhang, Xidong Zhao, Wenzheng Wang, Yuqi Han, Chenwei Deng, Zhuokai Li, Linbo Tang

“…Infrared small-target detection has attracted great interest in applications related to public safety, area monitoring, and various other fields. However, this task faces two challenges: 1) the diversity of background scenes leads to complexity of infrared content, and 2) the small size of targets results in limited available information. …”
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Overview of Applications and Research Directions of Deep Learning Methods for Wind Power Prediction by LIU Tan, LIU Na, LIU Guiping, LIU Kunjie, LIU Min, ZHUANG Xufei, ZHANG Zhonghao

“…In recent years, deep learning methods have demonstrated significant advantages in the field of wind power prediction, and by constructing complex nonlinear models, deep learning models can effectively capture the intrinsic laws and changing trends of wind power data. …”
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Geotri-VIO: geometrically consistent multi-prism projection for panoramic imaging in visual-inertial-odometry by Ruidong Mei, Yihan Tu, Lanxiang Zheng, MingXin Wei, Hui Cheng

“…Abstract Panoramic camera-based Visual-Inertial-Odometry (VIO) systems play a crucial role in robotic navigation, autonomous driving, and virtual reality applications, owing to their large Field-of-View and enhanced localization capabilities. …”
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Application of machine deep learning technology in tight sandstones reservoir prediction: A case study of Xujiahe Formation in Xinchang, western Sichuan Depression by QIAN Yugui

“…Pre-stack inversion techniques were combined with machine deep learning algorithms to construct an interpretation model. This innovative method ultimately achieved quantitative predictions of sandstone thickness and reservoir properties. …”
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Stock index forecasting based on TBA fusion model by HAN Di, GUO Wei, LIAO Kai, SUN Chuanyi, WANG Bocheng, LIN Kunling

“…Due to the volatility and complexity of stock market, stock index prediction has always been a challenge in the field of financial forecasting. Long short-term memory (LSTM) network model is commonly used in financial index forecasting, however, this model has some limitations in long time series which may lead to insufficient use of data information. …”
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A deep neural network for tactile perception in open scenes by Huirong Fang, Qianhui Yang, Kunhong Liu, Xiangyi Huang, Yu Xie

“…To handle this problem, different from the former studies of tactile perception in enclosed environments, this study focuses on the tactile material recognition task using robot electronic skin in open scenes. We construct a cross-batch tactile dataset to simulate open scenes and propose the multi-receptive field attention enhancement network (MRFE) to handle tactile material recognition. …”
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Pathological omics prediction of early and advanced colon cancer based on artificial intelligence model by Zhe Wang, Yang Wu, Yingjie Li, Qingwen Wang, Hongfei Yi, Hongyan Shi, Xinyue Sun, Chengxiang Liu, Kuanyu Wang

“…Cellprofiler and CLAM tools were used to extract pathological features, and machine learning algorithms and deep learning algorithms were used to construct prediction models. …”
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Performing a Multi-Stage Mathematical and Informational Task "Framing the First-Order Mandelbrot Set, Julia Sets, the Structure of Fixed Points of a Family of Polynomials of the Th... by Valeriy Sekovanov, Vladimir Ivkov, Elena Smirnova, Larisa Rybina

“…When completing the task stages, students consistently move from setting the research task to finding fixed points and their types, determining the structure of fixed points, developing algorithms for constructing the Mandelbrot set using various programming languages. …”
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Project quality, regulation quality by Elena Mussinelli

“…Instead, deductive design approaches seem to prevail today, due to the growing availability of algorithmic procedures that do not merely support the design process, but develop it in an almost automated manner through conditioning and prevailing indicators and parameters. …”
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HCVNet: Binocular Stereo Matching via Hybrid Cost Volume Computation Module With Attention by Chenglin Dai, Qingling Chang, Tian Qiu, Xinglin Liu, Yan Cui

“…Though recent study brings an awareness of the convolution neural networks and the attention algorithms used in this field can make great progress, it is still difficult to satisfy the demand of high-precision applications due to many reasons. …”
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Modeling of Capillary Shrinkage and Cracking in Early-Age Concrete by S. N. Leonovich

“…Process of cracks formation and their growth are considered as a result of non-power influences on the basis of crack theory principles from a condition that fields of deformation and tension creating schemes of a normal separation and shift occur in the top part of each crack at its level in the initial concrete volume. …”
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