Polynomial estimation method for PN sequence based on reliability accumulation by Song CHEN, Kai-zhi HUANG, Hua ZHAO

Subjects: “…m sequence;primitive polynomial;reliability;BM algorithm;soft information…”
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Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line by Sahatsawat Wainiphithapong, Chana Phutthananon, Sompote Youwai, Pitthaya Jamsawang, Phattarawan Malaisree, Ochok Duangsano, Pornkasem Jongpradist

“…This paper presents a study on multi-objective optimization (MOO) of shield operational parameters (SOPs) for soft ground tunneling using a tunnel boring machine (TBM) in an urban environment, focusing on the case study of the MRT Blue Line in Bangkok. …”
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Cooperative Signaling with Soft Information Combining by Rui Lin, Philippa A. Martin, Desmond P. Taylor

“…The destination uses a modified metric within a Turbo decoding algorithm to scale the soft information calculated for the relay code. …”
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Soft Schemes for Earthquake-Geotechnical Dilemmas by Silvia García

“…During the past years, soft computing techniques have been used for developing unconventional procedures to study earthquake geotechnical problems. …”
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A Comparative Study Between Soft Actor-Critic (SAC) and Deep Deterministic Policy Gradient (DDPG) Algorithms for Solar PV MPPT Control Under Partial Shading Conditions by Sampson E. Nwachukwu, Komla A. Folly, Kehinde O. Awodele

“…This paper presents a soft actor-critic (SAC) algorithm for solving PV MPPT control problems under PSCs. …”
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Predicting Wastewater Characteristics Using Artificial Neural Network and Machine Learning Methods for Enhanced Operation of Oxidation Ditch by Igor Gulshin, Nikolay Makisha

Subjects: “…machine learning algorithms…”
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Myoelectric Control in Rehabilitative and Assistive Soft Exoskeletons: A Comprehensive Review of Trends, Challenges, and Integration with Soft Robotic Devices by Alejandro Toro-Ossaba, Juan C. Tejada, Daniel Sanin-Villa

“…Soft robotic exoskeletons have emerged as a transformative solution for rehabilitation and assistance, offering greater adaptability and comfort than rigid designs. …”
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Gaussian Process Regression with Soft Equality Constraints by Didem Kochan, Xiu Yang

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Using neuroevolution for designing soft medical devices by Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Igor Balaz, Andrew Adamatzky

“…The use of neuroevolution-based algorithms to automatically design initial sketches of soft actuators that can enable the movement of future medical devices, such as drug-delivering catheters, is proposed. …”
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EMG-Controlled Soft Robotic Bicep Enhancement by Jiayue Zhang, Daniel Vanderbilt, Ethan Fitz, Janet Dong

“…The McKibben-inspired pneumatic muscle was chosen as the soft actuator for the prototype. A hybrid control algorithm, incorporating PID and model-based control methods, was developed. …”
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Architected Design and Fabrication of Soft Mechanical Metamaterials by Thileepan Stalin, Aby Raj Plamootil Mathai, Naresh Kumar Thanigaivel, Elgar Kanhere, Saikrishna Dontu, Gumawang Hiramandala, Aaron Chooi, Arturo Castillo Ugalde, Pablo Valdivia Y Alvarado

“…This study proposes a systematic design approach to 3D print soft mechanical metamaterials by tuning material flow behavior and using optimal toolpaths and print parameters. …”
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A Low-Carbon Scheduling Method for Container Intermodal Transport Using an Improved Grey Wolf–Harris Hawks Hybrid Algorithm by Meixian Jiang, Shuying Lv, Yuqiu Zhang, Fan Wu, Zhi Pei, Guanghua Wu

“…To address these issues, this study proposes a multi-objective optimization model that simultaneously considers transportation cost, carbon emissions, and time efficiency under soft time window constraints. The model is solved using an improved grey wolf–Harris hawks hybrid algorithm (IGWOHHO). …”
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A survey on localization and energy efficiency in UWSN: bio-inspired approach by J. Murali, T. Shankar

Subjects: “…Bio-inspired algorithms…”
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Averaged Soft Actor-Critic for Deep Reinforcement Learning by Feng Ding, Guanfeng Ma, Zhikui Chen, Jing Gao, Peng Li

“…The Soft Actor-Critic (SAC) algorithm uses advanced functions to update the policy and value network to alleviate some of these problems. …”
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SOFT CONTROL OF A NON-LINEAR ECONOMIC SYSTEM by I.V. Trundaev

Soft Measurement of Wastewater Treatment System Based on PSOGA-WNN by LIU Yuhui, MAI Wenjie, LI Xiaoyong, ZHAO Yinzhong, HE Xinzhong, HUANG Mingzhi

“…To accurately predict the SS_eff (effluent SS) content and COD_eff (effluent COD) concentration in water quality parameters and further improve the water quality early warning mechanism,this paper proposes the PSOGA-WNN soft measurement model of paper wastewater effluent quality to obtain the main water quality technical parameters,COD_inf (influent COD),Q (influent flow),pH (influent pH),SS_inf (influent SS),T (influent temperature),DO (influent dissolved oxygen),COD_eff,and SS_eff, for predicting the quality of wastewater from the wastewater treatment plant.Among them,the prediction results of PSOGA-WNN are compared with the neural networks of PSO-WNN,GA-WNN,and PSOGA-BP.The results show that the PSOGA-WNN neural network has the highest prediction accuracy,which indicates that the PSOGA hybrid parameter optimization algorithm based on the genetic algorithm and particle swarm algorithm has obvious superiority in optimizing the prediction accuracy of the model.The WNN neural network has certain advantages over BP neural network in terms of fitting degree as well as error accuracy and is an effective means of simulation prediction.…”
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SOFT TISSUE RECONSTRUCTION IN PATIENTS WITH SEVERE OPEN TIBIA FRACTURES by E. Y. Shibaev, P. A. Ivanov, A. P. Vlasov, D. A. Kisel, M. P. Lasarev, A. V. Nevedrov, L. L. Tsoglin

“…The aim of our study is to develop and introduce the algorithm of the early soft tissue reconstruction for the patients with severe open tibia fractures. …”
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Roughness and Fuzziness Associated with Soft Multi-Sets and their Application to MADM by Filiz Çıtak, Muhammed Riaz, Nabeela Wali, Amna Mushtaq

“…Furthermore, we present an algorithm to cope with uncertainties in multi-attribute decision making (MADM) problems by utilizing soft multisets and related concepts. …”
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Post-traumatic posterior heel soft tissue defect reconstruction by Suri M, Patel A, Vora H, Raibagkar S, Mehta D, Vyas U

“…We present a simple algorithm for management of post-traumatic posterior heel defect. …”
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Integrated Suboptimal Guidance and Control for Lunar Pinpoint Soft Landing by ZHANG Bo, CAI Yuanli

“…It proposed an integrated guidance and control method for lunar pinpoint soft landing to deal with the mismatch between the guidance system and control system in conventional separating design philosophy. …”
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