Study on Single Cycle Production Allocation and Supply Strategy for DCEs Based on the CVaR Criterion by Leiyan Xu, Zhiqing Meng, Gengui Zhou, Yunzhi Mu, Minchao Zheng

“…Subsequently, an approximate algorithm for solving the optimal total production amount is presented. …”
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Diagnosis and treatment of the functional dyspepsia: clinical guidelines of the Russian Gastroenterological Association by V. T. Ivashkin, I. V. Mayev, A. A. Sheptulin, T. L. Lapina, A. S. Trukhmanov, I. M. Kartavenko, V. A. Kiprianis, O. Z. Okhlobystina

“…Following of the functional dyspepsia management algorithm allows to increase the accuracy of FD diagnosis and improve treatment results.…”
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Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection by Sunil Kaushik, Akashdeep Bhardwaj, Ahmad Almogren, Salil bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen, Habib Hamam

“…In order to address this issue, this study presents a unique feature selection algorithm based on basic statistical methods and a lightweight intrusion detection system. …”
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Integrated energy microgrids participating in voltage regulation ancillary services: An improved ADMM based distributed optimization approach by Hao Xiao, Wei Pei, Daoxin Han, Xiaowei Pu, Jiarui Wang

“…Moreover, an improved accelerated consensus alternating direction method of multipliers algorithm is proposed to accelerate distributed optimization solutions of the model while protecting user privacy. …”
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Backpropagation-Based Cooperative Localization of Primary User for Avoiding Hidden-Node Problem in Cognitive Networks by Lin Liu, Zhengyi Li, Chi Zhou

“…Once the existence of PU is detected, a localization algorithm will be employed to first estimate the path loss model for the environment based on backpropagation method and then to locate the position of PU. …”
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Detecting Anomalies in Meteorological Data Using Support Vector Regression by Min-Ki Lee, Seung-Hyun Moon, Yourim Yoon, Yong-Hyuk Kim, Byung-Ro Moon

“…In the selection process, a multiobjective genetic algorithm is used to optimize the two objective functions. …”
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Machine Learning-Based Modeling of Hot Carrier Injection in 40 nm CMOS Transistors by Xhesila Xhafa, Ali Dogus Gungordu, Mustafa Berke Yelten

“…Gaussian process regression algorithm is preferred to model the post-stress characteristics of the drain-source current, the threshold voltage, and the drain-source conductance. …”
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An Efficient Curvature-Based Synthesis Methodology for Rotationally Symmetric Shaped Reflector Antennas by Manushanker Balasubramanian, Douglas H. Werner

“…Following this step, the corresponding curve is synthesized using the proposed iterative algorithm. This process of optimizing the curvature using B-spline polynomials offers the ability to better control the shape of a reflector with very few design variables. …”
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Coordinated Volt/VAR Control in Distribution Networks Considering Demand Response via Safe Deep Reinforcement Learning by Dong Hua, Fei Peng, Suisheng Liu, Qinglin Lin, Jiahui Fan, Qian Li

“…Next, a safe deep reinforcement learning (SDRL) algorithm is proposed, incorporating a novel Lagrange multiplier update mechanism to ensure that the control policies adhere to safety constraints during the learning process. …”
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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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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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Comparative Analysis of Predicted Gene Expression among Crenarchaeal Genomes by Shibsankar Das, Brajadulal Chottopadhyay, Satyabrata Sahoo

“…We presented here an alternative approach based on modified score of relative codon usage bias to identify highly expressed genes in crenarchaeal genomes. The proposed algorithm relies exclusively on sequence features for identifying the highly expressed genes. …”
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Real-Time Monitoring of High Voltage Switch Based on CAD by Long Di, Yong Xiao, Feng Hu, Yujian Liang, Jianmin Tan, Yimin You

“…In this paper, K-means clustering algorithm is applied to the mechanical state detection of digital filter high-voltage switchgear. …”
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A Multiple Beamforming Network for Unequally Spaced Linear Array Based on CORPS by Armando Arce, Marco Cardenas-Juarez, Ulises Pineda-Rico, David H. Covarrubias, Enrique Stevens-Navarro

“…The nonuniform aperture and the complex inputs of the feeding network are optimized by means of a differential evolution algorithm. In addition, a comparative analysis between a uniform and nonuniform linear array with the proposed feeding network is performed. …”
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Design and Optimization of Support and Drive System for Magnetic Levitation Air Compressor for Fuel Cells by Enhui Xing, Qi Gao, Yuanqi Dong, Wenxin Bai

“…Multi-physics field and multi-objective optimization were carried out by integrating the multi-physics field with the Multi-objective Grey Wolf Algorithm (MOGWO), and the feasibility of the design of the system and its reliability were verified using finite element software.…”
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Comparison of Quadratic- and Median-Based Roughness Penalties for Penalized-Likelihood Sinogram Restoration in Computed Tomography by Patrick J. La Rivière, Junguo Bian, Phillip A. Vargas

“…Since the quadratic penalty allows for derivation of an algorithm that is guaranteed to monotonically increase the penalized-likelihood objective function, we find it to be preferable to the median-based penalty.…”
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Sign Inference for Dynamic Signed Networks via Dictionary Learning by Yi Cen, Rentao Gu, Yuefeng Ji

“…Specifically, motivated by the Singular Value Thresholding (SVT) algorithm, a compact dictionary is selected from the observed dataset. …”
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A CNN-Based Microwave Imaging System for Detecting Watermelon Ripeness by Zachary M. Choffin, Lingyan Kong, Yu Gan, Nathan Jeong

“…The integration of a non-invasive microwave imaging system with a machine learning algorithm could improve food quality and food safety. …”
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Role of Delay on Planktonic Ecosystem in the Presence of a Toxic Producing Phytoplankton by Swati Khare, O. P. Misra, Chhatrapal Singh, Joydip Dhar

“…Further, we have derived the explicit algorithm which determines the direction and the stability of Hopf-bifurcation solution. …”
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Discrete Particle Swarm Optimization with Scout Particles for Library Materials Acquisition by Yi-Ling Wu, Tsu-Feng Ho, Shyong Jian Shyu, Bertrand M. T. Lin

“…To tackle the constrained problem, we propose a discrete particle swarm optimization (DPSO) with scout particles, where each particle, represented as a binary matrix, corresponds to a candidate solution to the problem. An initialization algorithm and a penalty function are designed to cope with the constraints, and the scout particles are employed to enhance the exploration within the solution space. …”
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