Functional heartburn and reflux hypersensitivity syndrome (according to the Rome-IV functional esophageal disease diagnostic criteria) by A. A. Sheptulin, V. O. Kaybysheva

“…Reflux hypersensitivity of the esophagus that was initially considered as one of the forms of the non-erosive gastroesophageal reflux disease (NERD) in the new criteria system is included in the spectrum of functional esophageal diseases. The diagnostic algorithm for the patient presenting with heartburn, having normally looking esophageal mucosa at upper endoscopy, is given. …”
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Analyzing Axial Stress and Deformation of Tubular for Steam Injection Process in Deviated Wells Based on the Varied (T,P) Fields by Yunqiang Liu, Jiuping Xu, Shize Wang, Bin Qi

“…The axial load, the normal pressure, the friction, and four deformation lengths of tubular string are got ten by means of the dimensionless iterative interpolation algorithm. The basic data of the X Well, 1300 meters deep, are used for case history calculations. …”
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Geometry Optimisation of a Wave Energy Converter by Susana Costa, Jorge Ferreira, Nelson Martins

“…The proposed procedure starts by developing an initial geometry, which is later evaluated in terms of hydrodynamics and optimised through an optimisation algorithm to tune the shape parameters that influence energy absorption, intending to obtain the optimal geometry. …”
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Imaging Tasks Scheduling for High-Altitude Airship in Emergency Condition Based on Energy-Aware Strategy by Li Zhimeng, He Chuan, Qiu Dishan, Liu Jin, Ma Manhao

“…Finally, the application results and comparison analysis show that the proposed strategy and algorithm are effective and feasible.…”
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Efficient Chlorophyll Prediction and Sampling in the Sea: A Real-Time Approach With UCB-Based Path Planning by Perihan Karakose, Cafer Bal

“…In the second phase of the study, an exhaustive search algorithm is combined with reward functions like Upper Confidence Bound (UCB), entropy, and variance reduction. …”
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Vessel Navigation Behavior Analysis and Multiple-Trajectory Prediction Model Based on AIS Data by He Ma, Yi Zuo, Tieshan Li

“…Compared with the classic methods, e.g., Douglas–Peucker (DP) and least-squares cubic spline curve approximation (LCSCA) algorithms, the mean loss of trajectory features extracted by our method is approximately 0.005, and it is reduced by 50% and 30% compared to the DP and LCSCA algorithms, respectively. …”
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Failure and Ejection Behavior of Concrete Materials under Internal Blast by Haifu Wang, Jianguang Xiao, Yuanfeng Zheng, Qingbo Yu

“…On the wall of the prefabricated borehole, two types of fragmented concrete mass are analyzed, and bottom initiation is recommended to eject the fragmented concrete mass effectively. Moreover, an algorithm of average ejection speed is developed to effectively estimate the drill capacity of high velocity, energetic (HE) projectiles. …”
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Joint estimation of frequency and DOA with spatio-temporal under sampling by Xiang-dong HUANG, Hong-yu XIAN, Zi-yang YAN, Sen-xue JING

“…In order to estimate the frequency and DOA of an incident signal with sub-Nyquist spatio-temporal sampling,A novel joint estimation algorithm based on spectrum correction and Chinese remainder theorem(CRT)was proposed.Firstly,the incident signal was parallelly sampled at multiple sensors non-uniformly located in a sparse linear array.Then,AM spectrum corrector was employed to extract the rema of frequency and phase-difference from a small quantity of snapshots.Finally,implementing the close-form CRT on these remainders directly yields the estimates of frequency and DOA.In the proposed scheme,the spectrum corrector was shared by both the frequency estimator and the DOA es-timator,which contributed to a high utilization of the snapshots.Furthermore,compared to the existing CRT based esti-mators,the proposed estimator needs not to incorporate multiple times of temporal undersampling on a single sensor,which saves considerable time consumption and thus obtain high ability of tracking time-variant objects.Simulations verify the feasibility and the high-accuracy of the proposed joint estimator and further study shows that high reconstruc-tion probability can be realized even in low SNR cases,which present the vast potential for future development.…”
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Performance analysis of asymmetrical less‐rare‐earth permanent magnet motor for electric vehicle by Bingchang Lv, Liwei Shi, Lintao Li, Kaiwen Liu, Jianning Jing

“…An equivalent air‐gap flux density model is established, the model is employed to calculate the analytical expression of the no‐load back‐EMF, and the multiple objectives optimisation are carried out for the motor parameters based on the Taguchi algorithm. Electromagnetic performance of the TPMM structure and the ALREPMM structure is compared by finite element method‐based simulation. …”
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Evolution Balancing of the Small-Sized Wheel Loader Assembly Line by Rongshen Lai, Liang Hou, Yongming Wu

“…Then, with minimizing the number of workstations, the in-station and between-station load indexes and adjustment costs, and maximizing relevancy between activities as optimization objectives, meanwhile regarding product platform planning, modularity design and the critical chain technology in concurrent engineering as constraint conditions, the evolution balancing problem of PFAL is optimized using improved genetic algorithm (IGA). Finally, the whole analysis procedure is demonstrated by the small-sized wheel loader PFAL case study and the effectiveness of the proposed method is verified.…”
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The Network Evolution of the Internationalizing Firm by Sérgio Fernando Loureiro Rezende, Alysson Moreira Alves, Dirley dos Reis Moreira Bicalho, Ângela França Versiani

“…The data analysis is based on Clauset et al.’s (2009) computational algorithm and PAFit, a new statistical method. The aim is to identify the extent to which the network evolution follows a power-law distribution and the degree to which preferential attachment affects the network evolution. …”
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Resilience-Based Optimization of Postdisaster Restoration Strategy for Road Networks by Xinhua Mao, Jibiao Zhou, Changwei Yuan, Dan Liu

“…Due to the NP-hardness of the model, a genetic algorithm is developed to solve the model. Finally, a case study is conducted to demonstrate the effectiveness of the proposed method. …”
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The Node Arrangement Methodology of Wireless Sensor Networks for Long-Span Bridge Health Monitoring by Guang-Dong Zhou, Ting-Hua Yi

“…An improved general genetic algorithm is proposed to configure sensor nodes, and a nonuniform node arrangement method is developed to distribute relay nodes. …”
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Lightweight anomaly detection model for UAV networks based on memory-enhanced autoencoders by HU Tianzhu, SHEN Yulong, REN Baoquan, HE Ji, LIU Chengliang, LI Hongjun

“…The hierarchical clustering algorithm was used to divide the composite statistical features, and the separated features were input to multiple small memory-enhanced autoencoders in the integrated architecture for independent training, which reduced the computational complexity and solved the problem of false negatives caused by the overfitting of the reconstruction effect of the traditional autoencoder. …”
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Secure transmission scheme for millimeter-wave Internet of vehicles with multiple base stations and users by JU Ying, CHEN Yuchao, TIAN Suheng, LIU Lei, LI Zan, PEI Qingqi, WANG Mingyang

“…For the timeliness of millimeter-wave secure beamforming in mobile scenarios and the robustness of secure connections in millimeter-wave dynamic eavesdropping scenarios, a multi-agent secure cooperative communication scheme based on a dueling double deep Q network (D3QN)-deep deterministic policy gradient (DDPG) algorithm was proposed to address communication security issues. …”
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Vibroacoustic Optimization of Stiffening Ribs and Damping Material Distribution on Sheet Metal Parts by M. Carfagni, P. Citti, L. Governi, M. Pierini

“…The proposed method is based on a Genetic Algorithm (G.A.) procedure which takes into account both the vibroacoustic performance and the weight and cost reduction. …”
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A Modified Mann Iteration by Boundary Point Method for Finding Minimum-Norm Fixed Point of Nonexpansive Mappings by Songnian He, Wenlong Zhu

“…In order to overcome this weakness, we introduce a new modified Mann iteration by boundary point method (see Section 3 for details) for finding the minimum norm fixed point of  T and prove its strong convergence under some assumptions. Since our algorithm does not involve the computation of the metric projection PC, which is often used so that the strong convergence is guaranteed, it is easy implementable. …”
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Using Burstiness for Network Applications Classification by Hussein Oudah, Bogdan Ghita, Taimur Bakhshi, Abdulrahman Alruban, David J. Walker

“…This work utilises tcptrace to extract features based on traffic burstiness and periods of inactivity (idle time) for the analysed traffic, followed by the C5.0 algorithm for determining the applications that generated it. …”
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FAULT RECOGNITION METHOD RESEARCH BASED ON SEMI-SUPERVISED NEIGHBORHOOD SELF-ADAPTIVE LINERA LOCAL TANGENT SPACE ALIGNMENT by XIE XiaoHua, WANG QingHong

“…The experiment results of classical 3D manifold,UCI datasets and bearing fault diagnosis show that the algorithm overcomes the drawbacks that the LLTSA has no supervision and the use of global unified neighborhood parameters and it is more effective to find the low dimensional nature of the data for improving the recognition accuracy and has certain superiority.…”
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Adaptive Output Feedback Control for the Trajectory Tracking of High-Speed Trains with Disturbance Uncertainties on the Basis of Neural Network Observers by Yang Liu, Weidong Li

“…The dynamic model of high-speed trains (HSTs) is nonlinear and uncertain; hence, with the decrease in the running interval of HSTs, an accurate and safe train operation control algorithm is required. In this study, an adaptive output feedback trajectory tracking control method for HSTs is proposed on the basis of neural network observers. …”
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