Research on Soft-Sensing Method Based on Adam-FCNN Inversion in <i>Pichia pastoris</i> Fermentation by Bo Wang, Wenyu Ma, Hui Jiang, Shaowen Huang

“…To address the challenges in modeling and optimization caused by nonlinear dynamic coupling and real-time measurement difficulties of key biological parameters in <i>Pichia pastoris</i> fermentation processes, this study proposes a soft-sensing method based on Adam-Fully Connected Neural Network inverse. …”
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A Novel Fault Diagnosis of Induction Motor by Using Various Soft Computation Techniques: BESO-RDFA by Kapu V. Sri Ram Prasad, K. Dhananjay Rao, Guruvulu Naidu Ponnada, Umit Cali, Taha Selim Ustun

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Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports by Ümit Gökkuş, Mehmet Sinan Yıldırım, Metin Mutlu Aydin

“…Four forecasting models were implemented based on Artificial Neural Network with Artificial Bee Colony and Levenberg-Marquardt Algorithms (ANN-ABC and ANN-LM), Multiple Nonlinear Regression with Genetic Algorithm (MNR-GA), and Least Square Support Vector Machine (LSSVM). …”
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Balancing resource utilization and slice dissatisfaction through dynamic soft slicing for 6G wireless networks by Zeinab Sasan, Siavash Khorsandi

“…Given the NP-hard nature of the problem, we propose the Heuristic Resource Allocation for Soft Slicing (HRASS) algorithm, which achieves near-optimal performance with significantly reduced computational complexity. …”
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Multisensor-Based Autonomous Grasp Planning for Mobile Manipulator Navigation System with a Novel Soft Gripper by Heng Zhang, Yingbai Hu, Jianghua Duan, Qing Gao, Langcheng Huo, Qiwen Wang, Yongquan Chen

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Vibration Analysis and Optimization of Iron-Core Reactors Based on Fe-Based Soft Magnetic Composite Materials by Yangyang Ma, Wenle Song, Jie Gao, Yang Liu, Yilei Shang, Weimei Zhao, Fuyao Yang

“…The characteristic parameters of the improved model are identified using the particle swarm optimization&#x2013;simulated annealing (PSO-SA) algorithm, with the identified root mean square error not exceeding 3.5, verifying the model&#x2019;s accuracy. …”
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Soft Actor-Critic-Based MPPT Control of Solar PV Systems Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…This paper presents a soft actor-critic (SAC)-based method for solving the solar photovoltaic (PV) Maximum Power Point Tracking (MPPT) control problem under partial shading conditions (PSCs). …”
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Creep Model of Weakly Cemented Soft Rock Considering Damage and Secondary Development in FLAC3D by Junhong Huang, Shanchao Hu, Xuelong Li, Shihao Guo, Chenxi Zhang, Zhihao Gao, Jinhao Dou, Dawang Yin, Yafei Cheng

“…Using the Levenberg–Marquardt (L-M) algorithm for parameter inversion, the model achieves over 98% fitting accuracy across the full creep stages of weakly cemented soft rock, validating its applicability to other rock types such as salt rock and anthracite. …”
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Smart Grid Self-Healing Enhancement E-SOP-Based Recovery Strategy for Flexible Interconnected Distribution Networks by Wanjun Li, Zhenzhen Xu, Meifeng Chen, Qingfeng Wu

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Thermal performance analysis of gas turbine power plant using soft computing techniques: a review by Ravindra S. Surase, Ramakrishna Konijeti, Ramchandra P. Chopade

“…Optimizing their thermal efficiency is essential for improving energy output and sustainability. Soft computing methods such as neural networks, genetic algorithms, and fuzzy logic offer potent tools for this optimization due to their ability to handle the turbines' nonlinear and dynamic characteristics. …”
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Ensemble boosting-based soft-computing models for predicting the bond strength between steel and CFRP plate by Irwan Afriadi, Chanachai Thongchom, Divesh Ranjan Kumar, Suraparb Keawsawasvong, Warit Wipulanusat

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

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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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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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