Application of a Supervised Learning Machine for Accurate Prognostication of Hydrogen Contents of Bio-Oil by Binghui Xu, Tzu-Chia Chen, Danial Ahangari, S. M. Alizadeh, Marischa Elveny, Jeren Makhdoumi

“…This paper deals with modeling hydrogen contents of bio-oil (H-BO) as a function of pyrolysis conditions and biomass compositions of feedstock. The support vector machine algorithm optimized by the grey wolf optimization method has been used in modeling this end. …”
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FRACTAL MODEL OF DAMAGE ACCUMULATION IN SOLID BODES by Alim. Abed Al-Zobaede, Yu. V. Chigareva

“…The MacDonald correlation function describing the medium structure allows to present the self-similarity of structures within a certain range of scales.The paper reviews models of damage accumulation near an opening in a composite medium and at layer boundaries. The Cantor model in a forward algorithm and a backward algorithm have been used in order to describe the model of damage accumulation. …”
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ADVCSO: Adaptive Dynamically Enhanced Variant of Chicken Swarm Optimization for Combinatorial Optimization Problems by Kunwei Wu, Liangshun Wang, Mingming Liu

“…In complex composite scenarios, its convergence accuracy approaches that of the championship algorithm JADE within a 10⁻² magnitude difference. …”
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Unmanned Surface Vessel Cluster Path Planning Based on Deep Reinforcement Learning by Manjiang YU, Jiawei HE, Bowen XING

“…For this reason, a path planning method for USV cluster cooperative search and rescue was proposed. Firstly, a long and short-term memory module was introduced based on the multi-agent deep deterministic policy gradient algorithm to enhance the ability of the USVs to utilize the temporal information in path planning; secondly, a multi-level representational experience pool was designed to improve the training efficiency and data utilization and reduce the interference between different experiences; finally, stochastic network distillation was used as a curiosity mechanism to provide intrinsic rewards for the USVs to explore new regions and solve the convergence due to the sparse rewards. …”
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Throughput-Oriented Full-Duplex Cognitive Radio Network Parameter Optimization by Haibin Jiang, Zhiyong Yu, Jian Yang, Kai Kang

“…Taking throughput as the optimization goal, this paper theoretically deduces and verifies the optimal data fusion algorithm in cooperative spectrum sensing (CSS), the threshold of optimal energy detection, and the optimal transmission power of SU in the secondary network. …”
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Coverage Capacity Optimization for Mobile Sensor Networks Based on Evolutionary Games by Jianhua Liu, Guangxue Yue, Shigen Shen, Huiliang Shang, Hongjie Li

“…We also further formulate intercoverage capacity as evolutionary coalition game and present a new cooperative interference control algorithm that iteratively solves intercoverage capacity optimization among MSs. …”
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Fault-tolerant formation control of heterogeneous multi-agent systems with unknown inputs and external disturbances by Yandong Li, Yongan Liu, Ling Zhu, Yuan Guo

“…Further, introduce the controller into the formation control problem of leader-follower HMAS, and demonstrate the effectiveness of the proposed algorithm through the Lyapunov stability theory. The algorithm is applied to the heterogeneous MAS, compensating for actuator faults. …”
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Online Format of Extracurricular Education: a New Reality of Project-Based Education for Senior High School Students by N. G. Davydova, A. N. Kosarikov, D. M. Kirillov, A. V. Igumnov

“…The transferring of traditional public events of the final into a remote format was carried out using a set of organizational measures and information technologies according to the following algorithm: the choice of technologies for videoconference and broadcasting, work with the website, training and testing of the technical capabilities of participants, work on synchronization, support and assistance to participants with a final questionnaire.Results. …”
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Distributed variational sparse Bayesian compressed sensing based on factor graphs by Cui-tao ZHU, Fan YANG, Han-xin WANG, Zhong-jie LI

“…A distributed variational sparse Bayesian compressed spectrum sensing algorithm based on factor graph was proposed,which decomposed the global spectrum sensing problem into local problem based on factor and variation.Belief propagation was used for the statistical inference of the spectrum occupancy,to implement the “soft fusion”.The temporal and spatial correlation information providing two-dimensional redundancies was exchanged among cooperative cognitive users to improve the detection performance under low SNR.Meanwhile,the algorithm prunes the divergence of hyper-parameters and the corresponding basis functions for reducing the load of communication.The simulation results show that this method can effectively achieve performance of spectrum sensing under a low sampling rate and the low SNR.…”
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Secrecy Rate Adaptation Method of Sensor Nodes Based on Evolutionary Game by Shigen Shen, Longjun Huang, Angyan Tu, Hongjie Li, Risheng Han, Qiying Cao

“…Moreover, a corresponding algorithm of secrecy rate adaptation was proposed. …”
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Privacy-Preserving Data Sharing and Computing for Outsourced Policy Iteration with Attempt Records from Multiple Users by Bangyan Chen, Jun Ye

“…In the actual use of this process, the computing resources possessed by a single user are limited so that the cooperation of multiple users are needed, but the joint learning of multiple users introduces the problem of privacy leakage. …”
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A novel motion key frame extraction and video stream classification based on reinforcement learning and feature fusion by Hongbo Cui, Tao Feng, Jinhui Zheng

“…In order to solve the problem of missing detection and false detection caused by the inaccuracy of motion feature extraction in the existing video key frame extraction algorithms, a reinforcement learning and feature fusion for key frame extraction algorithm and video stream classification is proposed. …”
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Results of Maritime Spatial Planning in the EU by Marina L. Kolesnikova

“…The proven algorithms provide the EU with the opportunity to become one of the main global actors that regulate the promotion of MSP technologies in various areas of the World’s ocean.…”
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How Is Bone Regeneration Influenced by Polymer Membranes? Insight into the Histological and Radiological Point of View in the Literature by Alexandra Papuc, Simion Bran, Marioara Moldovan, Ondine Lucaciu, Gabriel Armencea, Grigore Baciut, Cristian Dinu, Florin Onișor, Winfried Kretschmer, Mihaela Baciut

“…For the selection of the articles, a search was made in the PubMed and ScienceDirect databases, according to the PRISMA algorithm, for research/clinical trial type studies. …”
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Effects of Increasing Temperature on Bacterial Community Diversity in Mixed Stands of <i>Artemisia argyi</i> and <i>Solidago canadensis</i> in Eastern China by Haochen Yu, Guangqian Ren, Zhiyun Huang, Shanshan Qi, Biying Zhao, Xue Fan, Zhaoqi Zhu, Zhicong Dai, Daolin Du

“…This study delineates how warming significantly reshapes the soil microbial composition, potentially impacting <i>S. canadensis</i>’s invasion success unfavorably, thereby highlighting the importance of considering microbial dynamics in ecological management.…”
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The authentication of Yanchi tan lamb based on lipidomic combined with particle swarm optimization-back propagation neural network by Qi Yang, Dequan Zhang, Chongxin Liu, Le Xu, Shaobo Li, Xiaochun Zheng, Li Chen

“…This study successfully combined widely targeted lipidomic with a back propagation (BP) neural network optimized based on a particle swarm algorithm to identify the authenticity of Yanchi Tan lamb. …”
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Market and cadastral data comparison for the real estate market value forecasting by M. B. Laskin, P. A. Cherkesova

“…The theoretical significance of the work is the proposed algorithm for estimating the most probable trajectory of the market value of the investigated object, based on the conditional multivariate log-normal distribution for a given value of the cadastral value. …”
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DMSO-free cryopreservation of hiPSC-derived cardiomyocytes: low temperature characterization and protocol development by Akshat S. Mallya, Tessa Burrows, Jeanne Hsieh, Troy Louwagie, James R. Dutton, Brenda M. Ogle, Allison Hubel

“…A differential evolution (DE) algorithm was utilized to determine the optimal composition of a mixture of a sugar, sugar alcohol and amino acid to replace DMSO as the CPA. …”
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Development of Mid-Infrared Spectroscopy (MIR) Diagnostic Model for Udder Health Status of Dairy Cattle by Xiaoli Ren, Chu Chu, Xiangnan Bao, Lei Yan, Xueli Bai, Haibo Lu, Changlei Liu, Zhen Zhang, Shujun Zhang

“…Three MIR spectral preprocessing methods, six modeling algorithms, and three different sets of MIR spectral data were employed in various combinations to develop several diagnostic models for mastitis of dairy cattle. …”
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Establishment of Hyperspectral Prediction Model of Water Content in Anshan-Type Magnetite by Xiaoxiao XIE, Yang BAI, Jiuling ZHANG, Yuna JIA

“…However, due to the complexity of iron ore composition and properties, traditional detection techniques (such as loss on drying method and resistance method) have shortcomings in sensitivity and accuracy. …”
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