Isotopic Properties of Neutrosophic Soft Quasigroup and Its Application in Decision-making by Benard Osoba, Oyebo Tunde Yakub, Abdulkareem Abdulafeez Olalekan, Oyewole Oluwapamilerin, Adenibuyan Micheal Tokunbo, Oluwatobi Balogun, Adekola Lanrewaju Olumide

“…This research expands the concept of the Q-set to a groupoid, which facilitates the development of an algorithm for Q-neutrosophic soft quasigroups. The definitions of isotopism and homomorphism for Q-neutrosophic soft quasigroups are introduced, revealing that every isotope of a Qneutrosophic soft quasigroup is indeed a Q-neutrosophic soft quasigroup. …”
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A New Approach to the Criteria-Weighted Fuzzy Soft Max-Min Decision-Making Method and Its Application to a Performance-Based Value Assignment Problem by Samet Memiş, Serdar Enginoğlu

“…A., Mohamad, D., A decision making method using fuzzy soft sets, Malaysian Journal of Fundamental and Applied Sciences, 2013, 9(2), 99-104] has been configured to operate in the fuzzy parameterized fuzzy soft matrices (fpfs-matrices) space by Enginoğlu and Memiş [A configuration of some soft decision-making algorithms via fpfs-matrices, Cumhuriyet Science Journal, 2018, 39(4), 871-881] faithfully to the original. …”
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A New Approach to Group Decision-Making Method Based on TOPSIS Under Fuzzy Soft Environment by Faruk Karaaslan, Samet Memiş, Serdar Enginoğlu

“…In 2015, the group decision-making method based on TOPSIS under fuzzy soft environment was defined and applied to a decision-making problem by Eraslan and Karaaslan. …”
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New Topological Approaches to Generalized Soft Rough Approximations with Medical Applications by Mostafa K. El-Bably, Muhammad I. Ali, El-Sayed A. Abo-Tabl

“…There are many approaches to deal with vagueness and ambiguity including soft sets and rough sets. Feng et al. initiated the concept of possible hybridization of soft sets and rough sets. …”
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A hybrid elastic-hyperelastic approach for simulating soft tactile sensors by Berith Atemoztli De la Cruz Sánchez, Jean-Philippe Roberge

“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”
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Soft voting ensemble model to improve Parkinson’s disease prediction with SMOTE by Jumanto Unjung, Rofik Rofik, Endang Sugiharti, Alamsyah Alamsyah, Riza Arifudin, Budi Prasetiyo, Much Aziz Muslim

“…This study demonstrates that implementing the soft-voting ensemble-SMOTE method can enhance the model's predictive accuracy.…”
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Optimizing Cardiovascular Risk Assessment with a Soft Voting Classifier Ensemble by Ammar Oad, Zulfikar Ahmed Maher, Imtiaz Hussain Koondhar, Karishima Kumari, Hammad Bacha

“…The proposed ensemble soft voting classifier employs an ensemble of seven machine learning algorithms to provide binary classification, the Naïve Bayes K Nearest Neighbor SVM Kernel Decision Tree Random Forest Logistic Regression and Support Vector Classifier. …”
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Reinforcement learning-based multi-model ensemble for ocean waves forecasting by Weinan Huang, Xiangrong Wu, Xiangrong Wu, Haofeng Xia, Haofeng Xia, Haofeng Xia, Xiaowen Zhu, Yijie Gong, Xuehai Sun

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Modelling Enterprise’s Coordinated Development Strategy with a Soft Fuzzy Rough Set by Tongtong Wang, Jianing Cui

“…Furthermore, we use training methods and soft fuzzy rough sets’ learning algorithm to calculate, and the evaluating indicator rough set is constructed with a three-tier model structure. …”
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Reduced complexity hard‐ and soft‐input BCH decoding with applications in concatenated codes by Jürgen Freudenberger, Daniel Nicolas Bailon, Malek Safieh

“…For the algebraic decoding we demonstrate that Peterson's algorithm can be more efficient than the Berlekamp–Massey algorithm for single, double, and triple error correcting BCH codes. …”
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Metallic Artifacts’ Reduction in Microtomography Using the Bone- and Soft-Tissue Decomposition Method by Jan Juszczyk, Jakub Pałachniak, Ewa Piętka

“…This paper proposes a new method for eliminating metallic artifacts, applying a bone- and soft-tissue decomposition (BSTD) algorithm to microtomography raw data before the reconstruction process. …”
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Development and Verification of Control Strategy to Avoid Soft Tower Resonance for Wind Turbine by LIU Hongwen, WANG Dian, JIANG Tao, WAN Yubing, ZHAI Dayong, LU Shixin

“…However, because of the intersection of tower first-order natural frequency with rotor speed 1P, there is a risk of resonance. Therefore, a soft tower control algorithm named speed exclusion zone controller is designed relying on the H125 high tower of 2MW D121 type wind turbine, which can realize speed crossing through adaptive control. …”
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Fault recovery strategy for urban distribution networks using soft open points by Liangsheng Lan, Guangqi Liu, Sitong Zhu, Min Hou, Xinrui Liu

“…By employing a binary particle swarm optimisation algorithm, this method effectively improves load recovery, reduces the number of switching operations, and minimises network loss. …”
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Self‐Powered, Soft and Breathable Human–Machine Interface Based on Piezoelectric Sensors by Zhipeng Jiang, Chi Zhang, Sun Hwa Kwon, Lin Dong

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Development and Performance Analysis of Pneumatic Soft-Bodied Bionic Basic Execution Unit by Yu Zhang, Wenchuan Zhao, Ning Wang, Dengyu Lu

“…This paper studies the design of pneumatic soft-bodied bionic basic execution unit with soft-rigid combination, which can be used as an actuator for pneumatic soft-bodied robots and soft-bodied manipulators. …”
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Segmentation of airways and soft tissues on panoramic radiographs using artificial intelligence technology by Aslıhan Şahan Keskin, İlknur Eninanç

“…Conclusions To our knowledge, this is the first study to develop an AI -based model for segmentation of airways and soft tissues on panoramic radiographs. The proposed algorithm demonstrated high accuracy in identifying the regions of interest, enabling rapid and efficient radiographic analysis. …”
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A Novel Method for the Accurate Evaluation of Poisson’s Ratio of Soft Polymer Materials by Jae-Hoon Lee, Sang-Soo Lee, Jun-Dong Chang, Mark S. Thompson, Dong-Joong Kang, Sungchan Park, Seonghun Park

“…A new method with a simple algorithm was developed to accurately measure Poisson’s ratio of soft materials such as polyvinyl alcohol hydrogel (PVA-H) with a custom experimental apparatus consisting of a tension device, a micro X-Y stage, an optical microscope, and a charge-coupled device camera. …”
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A Motion‐Sensing Integrated Soft Robot with Triboelectric Nanogenerator for Pipeline Inspection by Rui Chen, Huigang Wang, Haoji Wang, Huijiang Wang, Li Bai, Xinpei Ai, Lifu Liu, Zhihao Hu, Zean Yuan

“…Physical experiments have demonstrated the soft robot's capacity in crawling in various pipeline conditions such as the horizontal, vertical, and curved configurations. …”
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Trajectory Control Approach for Single-Stage Soft-Switching Grid-Tied Inverters by Seunghun Baek

“…This paper presents a trajectory control model using finite state machines for a single-stage soft-switching grid-tied inverter designed with a fast dynamic response. …”
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Biaxial Estimation of Biomechanical Constitutive Parameters of Passive Porcine Sclera Soft Tissue by Zwelihle Ndlovu, Dawood Desai, Thanyani Pandelani, Harry Ngwangwa, Fulufhelo Nemavhola

“…This study assesses the modelling capabilities of four constitutive hyperelastic material models to fit the experimental data of the porcine sclera soft tissue. It further estimates the material parameters and discusses their applicability to a finite element model by examining the statistical dispersion measured through the standard deviation. …”
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