Soft Sensor Modeling of Key Effluent Parameters in Wastewater Treatment Process Based on SAE-NN by Yousuf Babiker M. Osman, Wei Li

“…In this research work, we propose a soft sensor model based on deep learning which combines stacked autoencoders with neural network (SAE-NN). …”
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Complex q-Rung Orthopair Fuzzy N-Soft Sets: A New Model with Applications by Muhammad Akram, Faiza Wasim, Ahmad N. Al-Kenani

“…To that purpose, the proposed theory integrates complex q-rung orthopair fuzzy sets with the parametric structure of N-soft sets. The framework that arises captures information beyond the confined space of complex intuitionistic fuzzy N-soft sets and complex Pythagorean fuzzy N-soft sets, with the assistance of a parameter q. …”
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Local Community Detection Algorithm Based on Minimal Cluster by Yong Zhou, Guibin Sun, Yan Xing, Ranran Zhou, Zhixiao Wang

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Student Performance Prediction Using Machine Learning Algorithms by Esmael Ahmed

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RLS Beamforming Algorithm Based on Wavelet Transform by Jihong Zhao, Pei Lei, Weihua Wang, Hua Qu, Dan He

“…This algorithm uses soft thresholding wavelet transform for signal denoising, solves the problem that the traditional Adaptive beamforming algorithm is sensitive to noise and the steady-state error is big under the environment of the low signal to noise ratio（SNR）and small forgetting factor. …”
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Ventricular segmentation algorithm for echocardiography based on transfer learning and GAN by Jin Wang, Xiaoning Bo, Guoqin Li, Yanli Tan

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Posture detection of athletes in sports based on posture solving algorithms by Huan Zhang

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User preference information recommendation based on DCGNN and GNNPK algorithms by Nannan Cheng, Xiaoyang He

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Interior design assistant algorithm based on indoor scene analysis by Lu Zhang

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Sorting misorganized books in libraries based on ant colony algorithm by Ling Chen

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Trajectory Tracking Control for Robotic Manipulator Based on Soft Actor–Critic and Generative Adversarial Imitation Learning by Jintao Hu, Fujie Wang, Xing Li, Yi Qin, Fang Guo, Ming Jiang

“…Finally, it is demonstrated by the simulation results that the end effector of the robot tracking task is effectively accomplished by the proposed SL-GAIL algorithm, and more superior stability is exhibited in a test environment with interference compared with other algorithms.…”
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Soft sensor modeling method for Pichia pastoris fermentation process based on substructure domain transfer learning by Bo Wang, Jun Wei, Le Zhang, Hui Jiang, Cheng Jin, Shaowen Huang

“…Abstract Background Aiming at the problem that traditional transfer methods are prone to lose data information in the overall domain-level transfer, and it is difficult to achieve the perfect match between source and target domains, thus reducing the accuracy of the soft sensor model. Methods This paper proposes a soft sensor modeling method based on the transfer modeling framework of substructure domain. …”
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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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