A Crossover Bacterial Foraging Optimization Algorithm by Rutuparna Panda, Manoj Kumar Naik

Get full text

Extending neutrosophic set theory: Cubic bipolar neutrosophic soft sets for decision making by Khulud Fahad Bin Muhaya, Kholood Mohammad Alsager

“…Additionally, we have introduced cubic bipolar neutrosophic soft sets (CBNSSs) as a flexible parameterization tool for CBNSs. …”
Get full text

Understanding thermalization in a non-Abelian gauge theory in terms of its soft modes by Sayak Guin, Harshit Pandey, Sayantan Sharma

“…We have implemented different algorithms to appropriately describe the dynamics of soft-modes for a wide range of temperatures and under non-equilibrium conditions. …”
Get full text

Model-based design of a pneumatic actuator for a dynamically reconfigurable socket for transtibial amputees by Saeed Mollaee, Amir HajiRassouliha, David M. Budgett, Andrew J. Taberner, Andrew J. Taberner, Poul M. F. Nielsen, Poul M. F. Nielsen

Subjects: Get full text

A Flexible Interconnected Distribution Network Power Supply Restoration Method Based on E-SOP by Lin Jiang, Canbin Wang, Wei Qiu, Hui Xiao, Wenshan Hu

Subjects: Get full text

Artificial Intellect Systems in Today’s Economic Environment by N. V. Barinova, V. R. Barinov

Subjects: Get full text

Furniture design based on image color extraction algorithm by Binglu Chen, Guanyu Chen, Qianqian Hu

Get full text

A Soft-Fault Diagnosis Method for Coastal Lightning Location Networks Based on Observer Pattern by Yiming Zhang, Ping Guo

“…By analyzing the changes in PI in the process of lightning location, this study further proposes a diagnostic algorithm (OPSFD) for soft-fault nodes in a lightning location network. …”
Get full text

Collider-based movement detection and control of wearable soft robots for visually augmenting dance performance by Patrick Twomey, Vaibhavsingh Varma, Leslie L. Bush, Mitja Trkov

“…Experimental results demonstrate that our algorithm effectively detects improvisational dance movements, allowing control of wearable, origami-based soft actuators that can change size and lighting based on detected movements. …”
Get full text

Numerical Simulation Study on Compression Characteristics of Gravelly Soil Mixture Based on Soft Servo Method by Yu Ning, Qingfu Huang, Chong Shi, Qingxiang Meng

“…Based on the continuous-discontinuous coupling algorithm formed by the structure shell elements and the particle discrete element method (PFC3D), the soft servo loading of the sample is realized, and the typical triaxial compression test data are used to calibrate mesoscale parameters. …”
Get full text

Objective Selection Criteria between ALT and Radial Forearm Flap in Oral Soft Tissues Reconstruction by Elisa Benanti, Marta Starnoni, Antonio Spaggiari, Massimo Pinelli, Giorgio De Santis

“…The purpose of our observational study is to provide an algorithm to support the flap choice for the reconstruction of oral soft tissues. …”
Get full text

Characteristics and Rapid Prediction of Seismic Subsidence of Saturated Seabed Foundation with Interbedded Soft Clay–Sand by Liuyuan Zhao, Miaojun Sun, Jianhong Ye, Fuqin Yang, Kunpeng He

“…The finite element platform FssiCAS is employed for a computational analysis to study the characteristics of seismic subsidence in saturated seabed foundations with interbedded soft clay–sand. A machine learning model is implemented based on the Random Forest algorithm, in which 3200 sets of numerical simulation results are used for model training, and 800 sets are used for validating the model’s reliability. …”
Get full text

Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models by Sami Naouali, Oussama El Othmani

Get full text

Electric Vehicle and Soft Open Points Co-Planning for Active Distribution Grid Flexibility Enhancement by Jie Fang, Wenwu Li, Dunchu Chen

“…This paper proposes co-planning of electric vehicles (EVs) and soft opening points (SOPs) to improve the flexibility of the active distribution network, thereby improving the economics and flexibility of the distribution network. …”
Get full text

Joining Application of Unmanned Aerial Vehicle Imagery with GIS for Monitoring of Soft Cliff Linear Habitats by Egidijus Jurkus, Julius Taminskas, Ramūnas Povilanskas, Arvydas Urbis, Jovita Mėžinė, Domantas Urbis

“…The study’s main objective was to assess short-term behavior of soft cliffs as littoral linear habitats during calm season storm events in the example of the Olandų Kepurė cliff, located on a peri-urban protected seashore (Baltic Sea, Lithuania). …”
Get full text

A state-of-the-art review of soft computing-based monitoring and control in the machining of hard alloys by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak, Abhijit Bhowmik

Get full text

Improved Motion Correction in Dynamic Contrast-Enhanced MRI Using Low Rank With Soft Weighting by Jichang Zhang, Faisal Najeeb, Yulin Wang, Xinpei Wang, Pengfei Xu, Hammad Omer, Jianjun Zheng, Jingfeng Zhang, Sue Francis, Paul Glover, Richard Bowtell, Thomas Meersmann, Chengbo Wang

“…This paper introduces a motion-corrected, free-breathing dynamic contrast-enhanced (DCE) MRI reconstruction method, termed low-rank plus sparse (L+S) with soft weighting. We designed a soft weighting matrix that smoothly transitions spokes between the target and other motion states to suppress motion blurring. …”
Get full text

Development of an interpretable model for foot soft tissue stiffness based on gait plantar pressure analysis by Xiaotian Bai, Xiao Hou, Dazhi Lv, Dazhi Lv, Jialin Wei, Jialin Wei, Yiling Song, Zhengyan Tang, Hongfeng Huo, Hongfeng Huo, Jingmin Liu

“…A backpropagation neural network, optimized by integrating particle swarm optimization and genetic algorithm, was constructed to predict foot soft tissue stiffness using plantar pressure data collected during walking. …”
Get full text

A study on plant root apex morphology as a model for soft robots moving in soil. by Anand Kumar Mishra, Francesca Tramacere, Roberto Guarino, Nicola Maria Pugno, Barbara Mazzolai

Get full text

Learning to suppress tremors: a deep reinforcement learning-enabled soft exoskeleton for Parkinson’s patients by Tamás Endrei, Tamás Endrei, Sándor Földi, Sándor Földi, Ádám Makk, György Cserey, György Cserey

Get full text