Predicting user's movement path in indoor environments using the stacked deep learning method and the fuzzy soft‐max classifier by Masoumeh Bourjandi, Meisam Yadollahzadeh‐Tabari, Mehdi GolsorkhtabariAmiri

“…In this work, a three‐phase stacked method named CNN‐LSTM‐FSC is proposed, which uses the Convolutional Neural Network (CNN), Long Short‐Term Memory (LSTM), and Fuzzy Soft‐max Classifier (FSC) to overcome the mentioned constraints. …”
Get full text

A Novel development of soft computing based hybrid power point tracking controllers for hydrogen vehicle application with new wide source DC-DC converter by Zaheda Sultana, CH Hussaian Basha, Mujahid Irfan Mohammed, Sujata Shivashimpiger

Get full text

Fusion of Sentiment and Market Signals for Bitcoin Forecasting: A SentiStack Network Based on a Stacking LSTM Architecture by Zhizhou Zhang, Changle Jiang, Meiqi Lu

“…The model architecture is based on a Stacking-LSTM ensemble, which captures complex temporal dependencies and non-linear patterns in high-dimensional financial time series. …”
Get full text

Additively manufactured FeCoNiSi0.2 alloy with excellent soft magnetic and mechanical properties through texture engineering by Yang Yang, Tianhai Liao, Yiwang Jia, Guodong Ding, Jiangping Cao, Xiaojuan Shang, Yaxiong Guo, Qibin Liu

Subjects: Get full text

Sleep Posture Recognition Method Based on Sparse Body Pressure Features by Changyun Li, Guoxin Ren, Zhibing Wang

Subjects: Get full text

High Frequency Resonant Inverter System With Stacked Architecture and Merging Network by Tingting Yao, Wenyuan Zhang, Mingfei Ban, Yiqi Liu, Yueshi Guan, Yijie Wang

“…In this article, a high frequency resonant inverter system with stacked architecture and merging network is analyzed. …”
Get full text

Predictive Analytics in Maternal Health: A Machine Learning Approach for Classification of Preeclampsia by Pakiza Amin, Saima Gulzar Ahmad, Hikmat Ullah Khan, Ehsan Ullah Munir, Naeem Ramzan

Subjects: Get full text

Three-dimensional graph reconstruction of filamentous structures from z-stack images by Oscar Sten, Emanuela Del Dottore, Marilena Ronzan, Nicola Pugno, Barbara Mazzolai

Get full text

Prediction of Soil Liquefaction Using a Multi-Algorithm Technique: Stacking Ensemble Techniques and Bayesian Optimization by Long Tsang, Mahdi Akbari, Pouyan Fakharian

Get full text

A self-powered soft triboelectric-electrohydrodynamic pump by Fangming Li, Shuowen Sun, Xingfu Wan, Minzheng Sun, Steven L. Zhang, Minyi Xu

“…Abstract Soft pumps have the potential to transform industries including soft robotics, wearable devices, microfluidics and biomedical devices, but their efficiency and power supply limitations hinder prolonged operation. …”
Get full text

A Soft‐Soft Contact Triboelectric Nanogenerator with a Ternary Four‐Phase Structure for Self‐Powered High‐Efficiency Dust Removal on Mars by Fei Yang, Zheping Wang, Boyi Xu, Yifan Lu, Xuyan Hou, Jinsui Xu, Zhijie Xie

“…The device's double‐stacked soft‐soft contact structure outputs high‐voltage electricity in four phases, generating a traveling wave electric field on the electrode surface. …”
Get full text

Comparative Analysis of Voting and Stacking Ensemble Learning for Heart Disease Prediction: A Machine Learning Approach by Gregorius Airlangga

“…The ensemble classifiers were constructed using base learners, including Random Forest, Gradient Boosting, and XGBoost, with soft voting aggregation and logistic regression meta-learning for the Stacking approach. …”
Get full text

A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniques by Heba M. Emara, Walid El-Shafai, Naglaa F. Soliman, Abeer D. Algarni, Reem Alkanhel, Fathi E. Abd El-Samie

Get full text

Reliability Design of Soft Soil Foundation Preloading Method for Airport Runway by Qingkun Yu, Liangcai Cai, Xiang Shi

“…Focusing on the rapid assessment of the reliability of airport runway soft soil foundation, taking the soft soil foundation preloading method as the research object, we established the corresponding settlement calculation model and studied the soil parameters and how they affect the settlement values, and the reliability of the soft soil foundation preloading method was obtained by the checking point method (JC). …”
Get full text

Influence of Tear Protein Deposition on the Oxygen Permeability of Soft Contact Lenses by Se Eun Lee, So Ra Kim, Mijung Park

“…Oxygen permeability was measured using the polarographic method, and lenses were stacked in four layers to correct the boundary effect. …”
Get full text

Sacrifice-layer-free transfer of wafer-scale atomic-layer-deposited dielectrics and full-device stacks for two-dimensional electronics by Yuyu He, Zunxian Lv, Zhaochao Liu, Mingjian Yang, Wei Ai, Jiabiao Chen, Wanying Chen, Bing Wang, Xuewen Fu, Feng Luo, Jinxiong Wu

“…Abstract Transfer printing techniques have enabled the fabrication of devices on soft or delicate substrates that are incompatible with conventional manufacturing processes. …”
Get full text

Integration of Edge-Lit Quantum Dot Coated Lightguides in Soft Smart Surfaces by Ravi Kishore, Jan Audenaert, Frederick Bossuyt, Pieter Bauwens, Bjorn Vandecasteele, Youri Meuret

“…Soft smart surfaces, integrating flexible electronics and decorative materials, seamlessly combine sensors and light-emitting elements for user interaction. …”
Get full text

Evaluation of the soft error assessment consistency of a JIT‐based virtual platform simulator by Geancarlo Abich, Rafael Garibotti, Vitor Bandeira, Felipe da Rosa, Jonas Gava, Felipe Bortolon, Guilherme Medeiros, Fernando G. Moraes, Ricardo Reis, Luciano Ost

“…Abstract Soft error resilience has become an essential design metric in electronic computing systems as advanced technology nodes have become less robust to high‐charged particle effects. …”
Get full text

Prospects for using soft processors in systems-on-a-chip based on field-programmable gate arrays by I. E. Tarasov, D. S. Potekhin, O. V. Platonova

“…In particular, such parameters as instruction set addressness, number of pipeline cycles, and arithmetic logic unit configuration are adjustable at the design stage to allow the optimization of the soft processor in the discrete parameter space. An approach to rapid prototyping of the assembler based on stack-oriented programming language with regular grammar was also considered. …”
Get full text

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). …”
Get full text