Classification algorithm for imbalance data of ECG based on PSOFS and TSK fuzzy system by Xinhui LI, Qing SHEN, Xiongtao ZHANG

“…., parallel ensemble fuzzy neural network based on PSOFS and TSK (PE-PT-FN), which was used for ECG prediction.Each class sample in the training set was randomly sampled, and the samples obtained by randomly sampled were added.Then, the feature selection method PSOFS was carried out independently and parallelly.In PSOFS, particles that were random initial positions represent different feature subsets and converge to the optimal positions after many iterations.Each subset had a corresponding feature subset.Several groups of TSK fuzzy neural network (TSK-FNN) were trained by each feature subset in parallel.Medical researchers could effectively find the correlation between ECG signal data and different types of disease through the interpretability of the fuzzy system and the feature subsets by the PSOFS algorithm.Experiments prove that PE-PT-FN greatly improves the macro-R to 92.35% while retaining interpretability.…”
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Research on Parameter Extraction Method of Photovoltaic Module Based on Improved Hybrid Algorithm by Haitao Wu, Zhou Shang

“…Firstly, the analytical method is applied to simplify the equivalent circuit model and improve the efficiency of the algorithm. Then, the adaptive algorithm is used to adjust the parameters of the differential evolution algorithm. …”
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A Novel Complex Networks Clustering Algorithm Based on the Core Influence of Nodes by Chao Tong, Jianwei Niu, Bin Dai, Zhongyu Xie

“…Network clustering methods are thus significant for the study of complex networks. Currently, many typical clustering algorithms have some weakness like inaccuracy and slow convergence. …”
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Energy-efficient clustering algorithm based on game theory for wireless sensor networks by Qingwei Liu, Mandan Liu

“…Clustering is a popular method to achieve energy efficiency and scalable performance in large-scale sensor networks. Many clustering algorithms were proposed to use energy efficiently, extend network life span, and improve data transfer. …”
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Algorithms for Processing Coronavirus Genomes for the Goals and Objectives of Modern Immunoinformatics, Vaccinomics, and Virology by M. V. Sprindzuk, A. S. Vladyko, L. P. Titov, Lu Zhuozhuang, V. I. Bernik

“…The algorithms for processing genomic information developed by the authors based on the analysis of the available literature and many years of experience in computational and laboratory experiments can be used not only for the design and analysis of epitope vaccine components, but also for the other tasks of computational virology and microbiology. …”
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Bias-field digitized counterdiabatic quantum algorithm for higher-order binary optimization by Sebastián V. Romero, Anne-Maria Visuri, Alejandro Gomez Cadavid, Anton Simen, Enrique Solano, Narendra N. Hegade

“…Here, we present an enhanced bias-field digitized counterdiabatic quantum optimization (BF-DCQO) algorithm to address higher-order unconstrained binary optimization (HUBO). …”
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Evolution of Cleft Lip and Palate Surgery and the Pursuit for Consensus on Standardized Algorithms of Care by Priyanka Naidu, MBChB, MS, Alexander T. Plonkowski, MBBS, MRes, Caroline A. Yao, MD, MS, William P. Magee, III, MD, DDS

“…Constant modification has resulted in significant diversity of cleft surgical protocols across institutions. Unlike many other surgical conditions, there is no gold-standard algorithm of care for CLP. …”
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The uneven deployment of algorithms as tools in government: evidence from the use of an expert system by Andrew B. Whitford, Anna M. Whitford

“…Within this context, we also present evidence that general knowledge of the use of expert systems has supported the use of this specific expert system in many agencies. This empirical case and this theory of innovation provide broad evidence about the historical utilization of expert systems as algorithms in public sector applications.…”
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Research and optimization on the sensing algorithm for 6G integrated sensing and communication network by Xiaoyun WANG, Xiaozhou ZHANG, Liang MA, Yajuan WANG, Mengting LOU, Tao JIANG, Jing JIN, Qixing WANG, Guangyi LIU

“…High-precision sensing is one of the basic capabilities of 6G mobile communication system to fulfill the demands of many application scenarios in the future, and the integrated design of sensing and communication (ISAC) is an important direction of 6G research.The works on ISAC mainly focus on improving the sensing performance.However, besides high sensing accuracy, 6G ISAC network still has a high communication rate requirement.Therefore, joint analysis and design of communication and sensing is necessary.First, three classic sensing algorithms were introduced that could achieve multi-target ranging and speed measurement, and the algorithms were analyzed from three aspects: sensing accuracy, communication performance and computational complexity.It is shown that the optimal sensing accuracy, sensing capacity and communication rate could not be achieved at the same time by using either one algorithm.Second, combined with the characteristics of different sensing algorithms, an adaptive sensing algorithm was proposed that the receiver selected the appropriate sensing algorithm according to the measured receive signal-to-interference-plus-noise ratio to realize the joint optimization of sensing and communication performance.Finally, the link-level simulation was carried out to verify that the proposed algorithm can obtain better sensing accuracy and communication capacity than any single algorithm.…”
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NSLS: A Neighbor Similarity and Label Selection-Based Algorithm for Community Detection by Shihu Liu, Hui Chen, Shuang Li, Xiyang Yang

“…Community detection is still regarded as one of the most applicable methods for discovering latent information in complex networks. Recently, many similarity-based community detection algorithms have been widely applied to the analysis of complex networks. …”
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Dynamic Multiobjective Optimization Algorithm Based on Average Distance Linear Prediction Model by Zhiyong Li, Hengyong Chen, Zhaoxin Xie, Chao Chen, Ahmed Sallam

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Learning Path Analysis of Optimizing Educational Data Mining Based on Genetic Algorithm by Wu Yanhong

“…The iterative process of genetic algorithms preserves high fitness pathways while generating new ones. …”
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A New Bootstrap Based Algorithm for Hotelling’s T2 Multivariate Control Chart by A. Mostajeran, N. Iranpanah, R. Noorossana

“…Normality is a common assumption for many quality control charts. One should expect misleading results once this assumption is violated. …”
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Training RBF NN Using Sine-Cosine Algorithm for Sonar Target Classification by Yixuan WANG, LiPing YUAN, Mohammad KHISHE, Alaveh MORIDI, Fallah MOHAMMADZADE

“…In order to overcome these issues, the sine-cosine algorithm (SCA) has been used to train RBF NNs in this work. …”
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Optimization Planning Techniques with Meta-Heuristic Algorithms in IoT: Performance and QoS Evaluation by İsa Avcı, Murat Koca

“…This work organizes its most innovative contribution around optimization scheduling techniques, which are based on three meta-heuristic algorithms. These algorithms include the particle swarm algorithm, the genetic algorithm, and the ant colony algorithm. …”
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Minimising latency of pitch detection algorithms for live vocals on low-cost hardware

“…Many papers have been published over the past six decades assessing and comparing the accuracy of pitch detection algorithms on various signals, including vocals. …”
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Modeling Chandy–Lamport Distributed Snapshot Algorithm Using Colored Petri Net by Saeid Pashazadeh, Basheer Zuhair Jaafar Al-Basseer, Jafar Tanha

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An adaptive differential evolution algorithm based on adaptive evolution strategy and diversity enhancement by Shengke Lin, Huarong Xu

“…Compared to many state-of-the-art DE variants and heuristic algorithms, ADE-AESDE demonstrates strong competitiveness in optimization performance, convergence and diversity.…”
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Validation of an automated cough detection algorithm for tracking recovery of pulmonary tuberculosis patients. by Sandra Larson, Germán Comina, Robert H Gilman, Brian H Tracey, Marjory Bravard, José W López

“…We then manually review detected coughs to eliminate false positives, in effect using the algorithm as a pre-screening tool that reduces reviewing time to roughly 5% of the recording length. …”
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An Efficient Algorithm for Fuzzy Linear Fractional Programming Problems via Ranking Function by Rasha Jalal Mitlif

“…In many applications such as production, planning, the decision maker is important in optimizing an objective function that has fuzzy ratio two functions which can be handed using fuzzy fractional programming problem technique. …”
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