EIM: A Novel Evolutionary Influence Maximizer in Complex Networks by Vahideh Sahargahi, Vahid Majidnezhad, Saeid Taghavi Afshord, Yasser Jafari

“…Moreover, a novel local search operator with appropriate efficiency was proposed to increase influence. …”
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Two-Dimensional DOA Estimation Using Arbitrary Arrays for Massive MIMO Systems by Alban Doumtsop Lonkeng, Jie Zhuang

“…In this paper, the performance of DOA estimation for massive MIMO systems is analyzed and compared using a low-complexity algorithm. To be exact, the 2D Fourier domain line search (FDLS) MUSIC algorithm is studied to mutually estimate elevation and azimuth angle, and arbitrary array geometry is utilized to represent massive MIMO systems. …”
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Modified particle swarm optimization (MPSO) optimized CNN’s hyperparameters for classification by Murinto Murinto, Sri Winiarti

“…This paper proposes a convolutional neural network architectural design approach using the modified particle swarm optimization (MPSO) algorithm. Adjusting hyper-parameters and searching for optimal network architecture from convolutional neural networks (CNN) is an interesting challenge. …”
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Electromagnetic target detection model for unmanned aerial vehicle platforms based on Bayesian detection by DENG Wenjie, CHEN Song, WU Di, LIU Kaiyue, XU Ziliang, HE Runze

“…The performance of the novel model is derived and analyzed under a scanning coverage search algorithm. Analytical and simulation results indicate that the proposed model effectively describes the process of electromagnetic target detection. …”
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Comparison of valve-sparing techniques for surgical treatment of aortic root pathology: Florida Sleeve vs David procedure by V. U. Efendiev, V. K. Noginov

“…The studies were selected according to the PRISMA algorithm.RESULTS. According to the results of search queries, 18 articles were found, 2 articles satisfying the selection criteria were included in the analysis. …”
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Adaptive Bacterial Foraging Optimization by Hanning Chen, Yunlong Zhu, Kunyuan Hu

“…The experiments compare the performance of two versions of ABFO with the original BFO, the standard particle swarm optimization (PSO) and a real-coded genetic algorithm (GA) on four widely-used benchmark functions. …”
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Reconstructing the Spectrum of a Polyharmonic Signal under Slow Fluctuations in the Sampling Period by A. A. Monakov

“…Methods for reconstructing the spectrum of a signal, the sampling moments of which are unknown a priori, are based on a preliminary reconstruction of the signal and subsequent estimation of its spectrum. Existing algorithms for reconstructing a signal sampled on an uneven time grid with unknown nodes are characterized by a high computational complexity due to their iterative nature and reliance on optimization search methods.Aim. …”
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Research on the effectiveness of data compression methods in relational and NoSQL DBMS by V. A. Egunov, V. S. Surin, P. S. Stupnitskiy, R. D. Akhmetova

“…Data compression in OpenSearch is more efficient than in MySQL when using standard algorithms. …”
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Research on Trajectory Tracking Control Method for Crawler Robot Based on Improved PSO Sliding Mode Disturbance Rejection Control by Zhiyong Yang, Qing Lang, Yuhong Xiong, Shengze Yang, Changjin Zhang, Lielei Deng, Daode Zhang

“…This strategy adaptively adjusts the inertia weight and learning factors, enhancing the algorithm’s global search capability. Comparative experiments were conducted using two types of curved trajectories: U-shaped and V-shaped paths. …”
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Hierarchical Artificial Bee Colony Optimizer with Divide-and-Conquer and Crossover for Multilevel Threshold Image Segmentation by Maowei He, Kunyuan Hu, Yunlong Zhu, Lianbo Ma, Hanning Chen, Yan Song

“…The experimental results for comparing HABC with several successful EA and SI algorithms on a set of benchmarks demonstrated the effectiveness of the proposed algorithm. …”
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Antenna Selection and Placement Analysis of MIMO Radar Networks for Target Localization by Bin Sun, Haowen Chen, Degui Yang, Xiang Li

“…Simulation examples are presented to demonstrate the effectiveness of the proposed algorithm compared with other criteria in different antenna configurations.…”
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Research on Anomaly Detection Model for Power Consumption Data Based on Time-Series Reconstruction by Zhenghui Mao, Bijun Zhou, Jiaxuan Huang, Dandan Liu, Qiangqiang Yang

“…The detection module employs a random forest algorithm optimized by grid search to detect residuals and ultimately identify outliers. …”
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Two-Echelon Pickup and Delivery Problem Using Public Transport in City Logistics by Shuai Wang, Xiaoning Zhu, Pan Shang, Wenqian Liu, Xiao Lin, Lóránt Tavasszy

“…In addition, we analyze the impact of demand distributions and compare the ALNS algorithm and the LNS algorithm. …”
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YOLOX-LS: Strong Gravitational Lenses Detection in the DECaLS with Deep Learning by Yangyang Liu, Liangping Tu, Jianxi Li, Jiawei Miao, Gengqi Lin, Chenying Zhao

“…This further verifies that the YOLOX-LS algorithm proposed in this paper can be effectively applied to the search for strong gravitational lenses. …”
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Medications for Managing Central Neuropathic Pain as a Result of Underlying Conditions—A Systematic Review by Bjarke Kaae Houlind, Henrik Boye Jensen

“…The aim of this systematic review was to compare the current algorithmic treatment of CNP, which generally does not discriminate among underlying conditions, with RCTs investigating algorithm-recommended and non-algorithm-recommended drugs for differing underlying conditions. …”
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Improved RRT*-Connect Manipulator Path Planning in a Multi-Obstacle Narrow Environment by Xueyi He, Yimin Zhou, Haonan Liu, Wanfeng Shang

“…By comparing with the existing algorithms, it is demonstrated that the proposed method can achieve shorter planning times and lower path costs of the manipulator operation.…”
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Opposition-based chaotic evolution for optimization by Tianshui Li, Yan Pei

“…Compared to conventional chaotic evolution and other baseline algorithms, OBCE consistently shows faster convergence and better solution quality across various problem types and dimensions. …”
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Unsupervised Fabric Defect Detection Based on Under-Complete Dictionary Reconstruction by LIU Jianxin, PAN Ruru, ZHOU Jian

“…An adaptive dictionary size search algorithm is also proposed to automatically select a suitable dictionary size. …”
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Radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism by Bei TANG, Qian WANG, Siguang CHEN

“…In order to fit the differentiated energy demands in vertical markets and ensure that internet of things (IoT) devices can hold an efficient and sustainable operation mode, a radio frequency energy harvesting-combined collaborative energy-saving computation offloading mechanism was studied.Specifically, a system energy consumption minimization problem was formulated under the joint optimization consideration of computation offloading decision, uplink bandwidth resource allocation, downlink bandwidth resource allocation and base station power splitting.Meanwhile, by combining the concept of penalty function, a new evaluation index was introduced, and then an adaptive particle swarm optimization-based collaborative energy saving computation offloading (APSO-CESCO) algorithm was proposed to solve the problem.The proposed algorithm constructed dynamic inertia weight and linearly adjusted penalty factor, which could alternate the spatial distribution density of the particle community in real-time during the iterative search process, and the optimal computation offloading policy with tolerable punishment could be well-generated.Furthermore, to prevent particles from exceeding exploration range, the velocity boundary was introduced which could also reduce the generation probability of invalid solutions and improve the actual exploration effectiveness.Finally, the simulation results show that the proposed algorithm can achieve higher convergence efficiency and solution accuracy, and compared with other common benchmark schemes, the system energy consumption can be reduced by 34.09%, 14.72%, and 6.86%, respectively.…”
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Enhanced Convolutional Neural Network for Accurate Crop Recommendation System on Climate Data by Adnan Myasar M., AI_Sadi Hafidh l., Abhilash Pideka Kundil

“…We propose a comprehensive approach that includes preprocessing with the Min-Max Normalization algorithm and feature selection using an Enhanced Cuckoo Search Optimization Algorithm (ECSO). …”
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