Discrimination of Rock Fracture and Blast Events Based on Signal Complexity and Machine Learning by Zilong Zhou, Ruishan Cheng, Xin Cai, Dan Ma, Chong Jiang

“…First, the permutation entropy values of signals at different scale factors are calculated to reflect complexity of signals and constructed into a feature vector set. Secondly, based on the feature vector set, back-propagation neural network (BPNN) as a means of machine learning is applied to establish a discriminator for rock fracture and blast events. …”
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TFC: A Series of Band Selection Methods for Hyperspectral Target Detection by Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao

“…By analyzing the detection principle of TCIMF, the BS problem can be transformed into a constrained optimization problem. …”
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Cache Assignment for a Flexible Mobile User in Wireless Heterogeneous Networks by Mohammad Hossein Amerimehr, Parisa Eslami, Nahid Amani, sara Efazati

“…Because of the complexity of the problem, finding the optimal solution is NP-hard. …”
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Assessing the Biological Safety of Dairy Products with Residual Antibiotics by Olga S. Chaplygina, Oksana V. Kozlova, Maria Yu. Zharko, Andrey N. Petrov

“…However, residual antibiotics in dairy products and meat remain a serious public health problem, which is associated with antibiotic resistance. …”
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Autonomous novel class discovery for vision-based recognition in non-interactive environments by Xuelin Zhang, Feng Liu, Xuelian Cheng, Siyuan Yan, Zhibin Liao, Zongyuan Ge

“…To address the OSC problem, we propose a framework combining three approaches: 1) using selfsupervised vision transformers to mitigate the discard of information needed for clustering unknown classes; 2) adaptive weighting for image patches to prioritize patches with richer textures; and 3) incorporating a temperature scaling strategy to generate more separable feature embeddings for clustering. …”
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The Parameters Estimation for a PM2.5 Transport Model with the Adjoint Method by Daosheng Wang, Ning Li, Youli Shen, Xianqing Lv

“…To reduce the ill-posedness of the inverse problem, an independent point scheme (IPS) is implemented during the estimation process. …”
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Intelligent Hybrid Control Strategy for Trajectory Tracking of Robot Manipulators by Yi Zuo, Yaonan Wang, Lihong Huang, Chunsheng Li

“…We address the problem of robust tracking control using a PD-plus-feedforward controller and an intelligent adaptive robust compensator for a rigid robotic manipulator with uncertain dynamics and external disturbances. …”
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La complejidad de la escritura en el contexto judicial: hipótesis y consecuencias by Claudia Poblete Olmedo, Carlos Vergara Barrales, Guillermo Soto Bergara

“…Complexity is a distinctive feature of writing within judicial context. More particularly, convoluted syntax of judgments and rulings, with an excessive use of embedded clauses, has been identified as one of the main factors that hinder their comprehension. …”
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Quantum rotor in a two-dimensional mesoscopic Bose gas by Michał Suchorowski, Alina Badamshina, Mikhail Lemeshko, Michał Tomza, Artem G. Volosniev

“…To this end, we formulate the problem in real space and solve it with a mean-field approach in the frame co-rotating with the impurity. …”
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Incipient Fault Diagnosis Method for Rolling Bearing based on MED and Variational Mode Decomposition by Liu Shangkun, Tang Guiji, Wang Xiaolong

“…Aiming at the problem that the incipient fault feature of rolling bearing is easily submerged in the environmental noise and is difficult to extract,an incipient fault diagnosis method combined minimum entropy deconvolution（ MED） denoise with variational mode decomposition（ VMD） is proposed. …”
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Practical Perfect Absorption in Monolayer Graphene by Prism Coupling by Sangjun Lee, Sangin Kim

“…The proposed structure can adopt a thin layer of any absorbing material for perfect absorption owing to the adaptive loss rate feature.…”
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Contemporary agrarian question and alternative ways to its solution1 by Czyżewski Andrzej, Staniszewski Jakub

“…Article presents a complex problem of an agrarian question - its causes, consequences and ways of mitigating the negative effects associated with it. …”
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Towards edge-collaborative,lightweight and secure region proposal network by Jinbo XIONG, Renwan BI, Qianxin CHEN, Ximeng LIU

“…Aiming at the problem of image privacy leakage and computing efficiency in edge environment,a lightweight and secure region proposal network (SecRPN) was proposed.A series of secure computing protocols were designed based on the additive secret sharing scheme.Two non-collusive edge servers cooperate to perform calculation modules such as secure feature processing,secure anchor transformation,secure bounding-box correction,and secure non-maximum suppression.Theoretical analysis guarantees the correctness and security of SecRPN.The actual performance evaluation shows that SecRPN is outstanding in the computational cost and communication overhead compared with the existing works.…”
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Urgent Measures at a Prehospital Stage in Battle Trauma by T. V. Smelaya, V. Ye. Nikitayev

“…Specialized medical teams are formed to solve this problem.…”
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Machine Learning for Predicting Required Cross-Sectional Dimensions of Circular Concrete-Filled Steel Tubular Columns by Anton Chepurnenko, Samir Al-Zgul, Vasilina Tyurina

“…However, in addition to this task, the engineer often faces the inverse problem: to determine what cross-section dimensions of the CFST column are required for given loads. …”
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CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

“…Fluctuations in exposure time and the influence of space weather will lead to inconsistent brightness of the same feature point at different times. To address this problem, we propose an unsupervised multiscale optical flow network based on Vision Transformer, named UTFlowNet. …”
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Water‐to‐Air Imaging: A Recovery Method for the Instantaneous Distorted Image Based on Structured Light and Local Approximate Registration by Bijian Jian, Ting Peng, Xuebo Zhang, Changyong Lin

“…Then, the displacement information of the feature points on the distorted structured light image and the standard structured light image is obtained through the feature extraction algorithm and is used to estimate the distortion vector field of the corresponding sampling points in the distorted scene image. …”
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Multi-Objective Scheduling for Green Flexible Assembly Job-Shop System via Multi-Agent Deep Reinforcement Learning With Game Theory by Xiao Wang, Zhongyuan Liang, Peisi Zhong, Dongmin Li, Hongqi Li, Mei Liu

“…In this regard, this paper presents the flexible assembly job-shop scheduling (FAJS) problem that incorporates job shop and assembly shop. …”
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Que dire de la montagne ? Arthur Young dans les Pyrénées (1787) by Jacques Raynaud

“…That is the problem Arthur Young had to face during his stay in the Pyrenees in 1787. …”
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Quantitative approach of multi-controller’s consensus in SDN by Jun-fei LI, Ju-long LAN, Yu-xiang HU, Jiang-xing WU

“…For the problem of multi-controller’s consensus in SDN,a quantitative approach was proposed,which provided a more accurate and effective method of sharing network view for the control layer's east-west extension.Firstly,the metrics of consensus,performance and availability between the controllers with the feature of SDN was provided,establishing the common model for quantitative research.Secondly,for the three typical questions in the research of multi-controller’s consensus,the condition to achieve its optimal value was explicated,which provided a reference for the configuration of consensus.Finally,to verify the validity of the quantitative approach by simulation,experimental results show that this approach can improve the performance and availability of the control layer in SDN effectively.…”
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