A Convection Nowcasting Method Based on Machine Learning by Aifang Su, Han Li, Liman Cui, Yungang Chen

“…Based on learning through the above features, this algorithm can forecast the generation and dissipation trends of convective cells to some extent. …”
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Using Smart Card Data Trimmed by Train Schedule to Analyze Metro Passenger Route Choice with Synchronous Clustering by Wei Li, Qin Luo, Qing Cai, Xiongfei Zhang

“…Finally, a case study was conducted to illustrate the effectiveness of the proposed algorithm. Results showed the proposed algorithm works well to analyze metro passenger route choice. …”
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Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review by Aan Chu, David Squirrell, Andelka M. Phillips, Ehsan Vaghefi

“…This systematic review was performed to identify the specifics of an optimal diabetic retinopathy deep learning algorithm, by identifying the best exemplar research studies of the field, whilst highlighting potential barriers to clinical implementation of such an algorithm. …”
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Balancing Long Lifetime and Satisfying Fairness in WBAN Using a Constrained Markov Decision Process by Yingqi Yin, Fengye Hu, Ling Cen, Yu Du, Lu Wang

“…Due to the defect of large implementation overhead in acquiring global channel state information (CSI), we put forward a distributed scheduling algorithm that adopts local CSI, which saves the network overhead and simplifies the algorithm. …”
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Energy-Efficient Route Planning Method for Ships Based on Level Set by Jiejian Zhu, Haiqing Shen, Qiangrong Tang, Zhong Qin, Yalei Yu

“…To reduce the fuel consumption of ships’ oceanic voyages, this study incorporates the influence of ocean currents into the traditional level set algorithm and proposes a route planning algorithm capable of identifying energy-efficient routes in complex and variable sea conditions. …”
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Seismic Analysis of a Large LNG Tank considering the Effect of Liquid Volume by Yi Zhao, Hong-Nan Li, Xing Fu, Shuocheng Zhang, Oya Mercan

“…Thus, this paper aims to employ a less computationally demanding algorithm, the Smoothed Particle Hydrodynamics-Finite Element Method (SPH-FEM) algorithm, to simulate large LNG tanks. …”
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An Approximate Proximal Bundle Method to Minimize a Class of Maximum Eigenvalue Functions by Wei Wang, Lingling Zhang, Miao Chen, Sida Lin

“…We present an approximate nonsmooth algorithm to solve a minimization problem, in which the objective function is the sum of a maximum eigenvalue function of matrices and a convex function. …”
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Motion Trajectory Planning and Design of Material Spraying Service Robot by Gang Wang, Hongyuan Wen, Jun Feng, Jun Zhou

“…In view of this, this paper proposes an algorithm for modeling kinematics using a joint screw and optimizes the modeling algorithm using particle swarm optimization. …”
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A Novel Model of Conforming Delaunay Triangulation for Sensor Network Configuration by Yan Ma, Yan-ling Hao, Feng-min Tian

“…As compared with the original fractional node refinement algorithms, the proposed algorithm can get well refinement stability with least time cost. …”
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Novel Distance Measures for Single-Valued Neutrosophic Fuzzy Sets and Their Applications to Multicriteria Group Decision-Making Problem by Yun Jin, Muhammad Kamran, Nadeem Salamat, Shouzhen Zeng, Riaz Hussain Khan

“…We also proposed an algorithm for multicriteria group decision-making. …”
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Artificial Potential Field-Based Multi-UAV Formation Control and Target Tracking by He Song, Shaolin Hu, Wenqiang Jiang, Qiliang Guo, Ming Zhu

“…Finally, the numerical simulation is conducted for the proposed algorithm, and the simulation result is analysed. The results show that the proposed algorithm can quickly achieve the formation flight and target tracking of multi-UAVs and improve the tracking performance; meanwhile, it can effectively weaken the rotation buffeting and improve the robustness.…”
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Modelling and Metaheuristic for Gantry Crane Scheduling and Storage Space Allocation Problem in Railway Container Terminals by Ming Zeng, Wenming Cheng, Peng Guo

“…A metaheuristic named backtracking search algorithm (BSA) is then improved to solve this intractable problem. …”
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Underdetermined DOA Estimation via Independent Component Analysis and Time-Frequency Masking by Peter Jančovič, Xin Zou, Münevver Köküer

“…This paper presents an algorithm for the estimation of the direction of arrival (DOA) in underdetermined situations, that is, there is more sources than sensors. …”
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Resource Allocation with MAC Layer Node Cooperation in Cognitive Radio Networks by Andreas Merentitis, Dionysia Triantafyllopoulou

“…An algorithm for cooperative Dynamic Spectrum Access in Cognitive Radio networks is presented. …”
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Dynamic Data Scheduling of a Flexible Industrial Job Shop Based on Digital Twin Technology by Juan Li, Xianghong Tian, Jing Liu

“…The algorithm is used to solve the model, and the chaotic particle swarm optimization algorithm is used to maintain the particle diversity to complete the dynamic data scheduling of a flexible industrial job shop. …”
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Meteorological Data Analysis Using MapReduce by Wei Fang, V. S. Sheng, XueZhi Wen, Wubin Pan

“…K-means is a fast and available cluster algorithm which has been used in many fields. However, for the large-scale meteorological data, the traditional K-means algorithm is not capable enough to satisfy the actual application needs efficiently. …”
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Convergence of Linear Bregman ADMM for Nonconvex and Nonsmooth Problems with Nonseparable Structure by Miantao Chao, Zhao Deng, Jinbao Jian

“…In this paper, we proposed an ADMM-based algorithm for nonconvex multiblock optimization problems with a nonseparable structure. …”
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A note on orthogonal matching pursuit under restricted isometry property by Xueping Chen, Jianzhong Liu, Xianwen Ding, Hengzhen Huang

“…Abstract The orthogonal matching pursuit (OMP) algorithm is a classical greedy algorithm widely used in compressed sensing. …”
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An Improved RSSI-Based Positioning Method Using Sector Transmission Model and Distance Optimization Technique by Haiping Zhu, Talal Alsharari

“…The positioning algorithm is an improved Received Signal Strength Indication- (RSSI-) based ranging method. …”
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KC-Means: A Fast Fuzzy Clustering by Israa Abdzaid Atiyah, Adel Mohammadpour, S. Mahmoud Taheri

“…A novel hybrid clustering method, named KC-Means clustering, is proposed for improving upon the clustering time of the Fuzzy C-Means algorithm. The proposed method combines K-Means and Fuzzy C-Means algorithms into two stages. …”
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