Angle Modulated Artificial Bee Colony Algorithms for Feature Selection by Gürcan Yavuz, Doğan Aydin

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Optimal reception of multiple phase shift keying and quadrature amplitude modulation signals with non-coherent processing of harmonic interference by G. V. Kulikov, T. T. Do, A. A. Lelyukh, V. D. Nguyen

“…Therefore, the development of algorithms for compensating the influence of such forms of interference is an urgent task. …”
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acACS: Improving the Prediction Accuracy of Protein Subcellular Locations and Protein Classification by Incorporating the Average Chemical Shifts Composition by Guo-Liang Fan, Yan-Ling Liu, Yong-Chun Zuo, Han-Xue Mei, Yi Rang, Bao-Yan Hou, Yan Zhao

“…We established an online web server named acACS, which can convert secondary structure into average chemical shift and then compose the vector for representing a protein by using the algorithm of auto covariance. …”
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High-Precision Diagnosis of the Whole Process of Laser-Induced Plasma and Shock Waves Using Simultaneous Phase-Shift Interferometry by Lou Gao, Hongchao Zhang, Jian Lu, Zhonghua Shen

“…This study employs the simultaneous phase-shift interferometry (SPSI) system to diagnose laser-induced plasma (LIP) and shock wave (SW). …”
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Future Climate Predicts Range Shifts and Increased Global Habitat Suitability for 29 <i>Aedes</i> Mosquito Species by Xueyou Zhang, Hongyan Mei, Peixiao Nie, Xiaokang Hu, Jianmeng Feng

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Supervised Machine Learning for Real-Time Intrusion Attack Detection in Connected and Autonomous Vehicles: A Security Paradigm Shift by Ahmad Aloqaily, Emad E. Abdallah, Hiba AbuZaid, Alaa E. Abdallah, Malak Al-hassan

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Enhancing HVAC Control Systems Using a Steady Soft Actor–Critic Deep Reinforcement Learning Approach by Hongtao Sun, Yushuang Hu, Jinlu Luo, Qiongyu Guo, Jianzhe Zhao

“…Our approach employs the distributed soft policy iteration from the Distributional Soft Actor–Critic (DSAC) algorithm to improve action–state return stability. …”
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Effective Lock Detectors Based on Costas Loop Output for SBPSK Mobile Communications by D. Ferramola, T. Casilli, S. Pradella, G. Giunta, D. Orlando

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The Effectiveness of two Dimensional Haar Wavelet Image De-noising performance using Soft or Hard Thresholding Approach by Wesam Hujab Saood, Khamees Khalaf Hasan

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The Optimal Dispatch for a Flexible Distribution Network Equipped with Mobile Energy Storage Systems and Soft Open Points by Yu Ji, Ying Zhang, Lei Chen, Juan Zuo, Wenbo Wang, Chongxin Xu

“…This study introduces an MESS, which has both spatial and temporal controllability, and soft open point (SOP) technology to build a co-scheduling framework. …”
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Application of selective ensemble learning soft sensor modeling based on GPR in the solar thermal power collection system by Yalu Sun, Kun Ding, Changhai Yang, Zhuxiu Wang

“…In order to achieve zero carbon emissions, new concepts and algorithms are needed in the control of renewable energy to ensure the safe and reliable operation of the grid under the trend of zero carbonization in the future. …”
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Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development by Yurun Wang, Yi Huang, Dongsheng Chen, Longyan Wang, Lingjian Ye, Feifan Shen

“…For deep learning based soft sensors, the spatiotemporal attention (STA)-LSTM is a newly emerged technique which provides efficient predictions for quality variables of industrial processes. …”
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ELECTRE I approach for multi-criteria group decision-making in single-valued neutrosophic N-soft environment by Fathima Perveen P. A., Sunil Jacob John

“…To explain the outranking relationship among alternatives with respect to different parameters, this new technique is developed by introducing the ideas of strong, midrange, and weak single-valued neutrosophic N-soft concordance and discordance sets. Also, we propose an algorithm for the proposed method along with a flowchart. …”
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Technical and economic justification for application of a soft start system for high-voltage electric motors of pumping units by S. T. Dadabaev, E. I. Gracheva

“…This is the problem of developing a universal methodology for assessing the economic efficiency of introducing soft starters. The proposed methodology for determining the economic efficiency of such systems, based on known methods, complements and simplifies the process of calculations and computational algorithms.…”
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An Effective Soft-Sensor Method Based on Belief-Rule-Base and Differential Evolution for Tipping Paper Permeability Measurement by Rong Hu, Qinli Zhang, Bin Qian, Leilei Chang, Zhijie Zhou

“…The current paper presents a soft-sensor method based on belief-rule-base (BRB) system for solving the problem of tipping paper permeability measurement in the tobacco industry. …”
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Advancing Compressive Strength Prediction in Self-Compacting Concrete via Soft Computing: A Robust Modeling Approach by Ali Ghorbani, Hamidreza Maleki, Hosein Naderpour, Seyed Mohammad Hossein Khatami

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HC-means clustering algorithm for precision marketing on e-commerce platforms by Dan Wu, Xin Liu

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Athlete movement control training based on dynamic time warping algorithm by Luo Dai, Yueqiang Zhao

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Defect identification method for overhead transmission lines based on SIFT algorithm by Qiang Liu, Xi Zheng, Qiuhan Zhang, Hongjie Sun, Jun Yan

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Improved CNN-GRU algorithm application in enterprise legal consultation system by Xuejie Zhao

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