A Covariance Feedback Approach to Covariance Control of Nonlinear Stochastic Systems by Salman Baroumand, Amir Reza Zaman, Mohammad Reza Mahmoudi

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Discussion on Disaster Remote Sensing Application Service Based on Ground Information Port by Qiao HU, Zuoya ZHENG, Gang LIU, Linyao QIU, Yanfeng WU

“…Aim at the problems of large volume and low degree of sharing of remote sensing data, high complexity of algorithm model and single function of disaster response application system, the main functions and technical framework of GIP, as well as the advantages and potential of GIP in platform, algorithm and application system was introduced.It provided a reference for further mining the research of new intelligent processing algorithm and processing mode for multi-source, high-dimensional, heterogeneous and complex associated earth observation data in other application fi elds with GIP, so as to promote the service ability and form a new information service mode and industrial chain of the GIP.…”
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基于萤火虫神经网络的轴承性能退化程度评估 by 刘永前, 徐强, 田德, 龙泉

“…Precise assessment of bearing performance degradation is the foundation and key of predictive maintenance for rotating machinery,and also a new research area nowadays.An optimized BP neural network based on glowworm swarm optimization algorithm is proposed and applied for the first time in the performance degradation assessment of bearings.The glowworm swarm optimization algorithm is applied to obtain the initial weights and thresholds of BP neural network,while power spectral entropy,wavelet entropy,box dimension,correlation dimension,kurtosis and skewness are selected as the fault features.Experiments show that the glowworm swarm optimization algorithm has improved the prediction accuracy of network and the proposed method can precisely assess the performance degradation of rolling bearings,the effectiveness and accuracy of the proposed method in engineering application is validated.…”
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Exercising of integrated approach for the specialized meat products development by M. A. Aslanova, O. K. Derevitskaya, A. S. Didikin, A. L. Bero, N. E. Soldatova

“…This article describes the general algorithm for developing the specialized dietary therapeutic and prophylactic nutrition meat products, and demonstrates the implementation of the individual stages of the algorithm on the example of developing the food products for people who suffer from the most socially significant diseases like diabetes and CVD. …”
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Combining Cirrus and Aerosol Corrections for Improved Reflectance Retrievals over Turbid Waters from Visible Infrared Imaging Radiometer Suite Data by Bo-Cai Gao, Rong-Rong Li, Marcos J. Montes, Sean C. McCarthy

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Three-Dimensional Forward Modeling and Inversion Study of Transient Electromagnetic Method Considering Inhomogeneous Magnetic Permeability by Chenyu Wang, Yan Dong, Jingyu Gao, Handong Tan, Yingge Wang, Weiyu Dong

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System Development for Liquid Chemicals Point Injection Based on Convolutional Neural Network Models by V. S. Semenyuk, E. A. Nikitin

“…When developing the system, they used the U-net-algorithm of convolutional neural networks, as well as data displaying diseases of winter and spring wheat – brown rust and powdery mildew. …”
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Big Data Cleaning Based on Improved CLOF and Random Forest for Distribution Networks by Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng

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A Travel Demand Response Model in MaaS Based on Spatiotemporal Preference Clustering by Songyuan Xu, Yuqi Liang, Jing Zuo

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Underwater Small Target Detection Method Based on the Short-Time Fourier Transform and the Improved Permutation Entropy by Jing Zhou, Baoan Hao, Yaan Li, Xiangfeng Yang

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Improved identification and tracking of three-dimensional eddies in the Southern Ocean utilizing 3D-U-Res-Net by Chang Liu, Xiayan Lin, Xiayan Lin, Guangjun Xu, Guangjun Xu, Guoqing Han, Yu Liu

“…A vector geometry-based eddy detection algorithm (VG) initially identified 1587292 eddy snapshots in the Southern Ocean (2011–2019), which were used for training the 3D-U-Res-Net algorithm. …”
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Identification of green leafhoppers (cicadellidae) in vineyards through an automatic image acquisition system from yellow sticky traps associated with deep-learning by Proença Maria da Conceição, Rebelo Maria Teresa, Valent Riccardo, Mateus Rebeca, Gaspar Pedro Diniz, Lopes Carlos Manuel, Franco José Carlos

“…The combination of a deep learning algorithm and real-time data acquisition allows a fast decision-making by technicians and researchers, supporting the implementation of pest management strategies, and demonstrates the promising potential for specific and sustainable pest monitoring, contributing to the progress of precision farming practices.…”
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Fuzzy Decision-Making Analysis of Quantitative Stock Selection in VR Industry Based on Random Forest Model by Jia-Ming Zhu, Yu-Gan Geng, Wen-Bo Li, Xia Li, Qi-Zhi He

“…Secondly, different from the single effective frontier algorithm, the research is based on the random forest algorithm, calculates the average AUC of the index, and continuously checks and tests the results to obtain the optimal investment portfolio. …”
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A detailed reinforcement learning framework for resource allocation in non‐orthogonal multiple access enabled‐B5G/6G networks by Nouri Omheni, Anis Amiri, Faouzi Zarai

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FastClothGNN: Optimizing message passing in Graph Neural Networks for accelerating real-time cloth simulation by Yang Zhang, Kailuo Yu, Xinyu Zhang

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TREATMENT OF THE ACUTE CORONARY SYNDROME WITH ST SEGMENT ELEVATION AT THE PRE-HOSPITAL CARE by S. N. Tereshchenko, I. V. Zhirov

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Urban surface water bodies mapping using the automatic k-means based approach and sentinel-2 imagery by Mateo Gašparović, Sudhir Kumar Singh

“…AUWM was developed based on modified normalized difference water index, pansharpening techniques (MNDWIPS), and k-means clustering algorithm. Research was provided on three study sites. …”
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Analysis of Reliability Indices in Next Generation Microgrids Under Uncertainties of Load and Renewable Power Production by nima nikmehr, Sajad Najafi Ravadanegh

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An Optimized Framework of the Integrated Renewable Energy and Power Quality Model for the Smart Grid by Naveen Kumar, Gopal Singh, Hailemichael Kebede

“…In this study, the real-time algorithm put forward in this research is based on a strategy that satisfies the load optimization requirement and achieves dynamic compensation for unpredictable changes in renewable energy power generation. …”
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Beyond Fitzpatrick: automated artificial intelligence-based skin tone analysis in dermatological patients by Paul Ulrich, Alexander Zink, Tilo Biedermann, Sebastian Sitaru

“…Further research is warranted to externally validate our algorithm.…”
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