Results 171 to 180 of about 15,532 (286)

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

A low light video enhancement using interval valued intuitionistic fuzzy set with HVI space. [PDF]

Sci Rep
Manivasagan M, Jagatheswari S.
europepmc   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

Fuzzy optimization of municipal solid waste collection routing under uncertain emissions. [PDF]

Sci Rep
Zhang Y, Wei Y, Zhang B, Wu Y, Pan S.
europepmc   +1 more source

Advances in vital‐sign prediction and early‐warning models for underground coal mine workers integrating environmental factors

Deep Underground Science and Engineering, EarlyView.
This review synthesizes advances in predicting miners' vital signs by integrating environmental monitoring (dust, temperature, and gas) with physiological data. It highlights multi‐source data fusion techniques and early‐warning models for enhanced occupational safety in underground coal mines.
Junji Zhu, Dawei Cui, Yingjie Liu, Yuntao Liang, Yue Zhang   +4 more
wiley   +1 more source

Fuzzy-based multi-objective scheduling for human-robot manufacturing systems. [PDF]

Sci Rep
Deng Y, Huang B, Lai S.
europepmc   +1 more source

Air Stability of Sulfide Solid Electrolytes: From Theoretical Insights to Practical Solutions

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This paper reviews research progress on the air stability of SSEs, covering their instability mechanisms and modification strategies, while outlining core challenges and future directions for practical applications. Sulfide solid electrolytes are pivotal for enabling high‐performance all‐solid‐state batteries due to their high ionic conductivity and ...
Hongbing Ding, Yue Hu, Xin Li, Yang Su, Xinlu Wang, Hongbo Zhang, Guixia Liu, Wensheng Yu, Xiangting Dong, Jinxian Wang, Xin Wang   +10 more
wiley   +1 more source

Data-driven fuzzy information granulation for predicting freight volume trends. [PDF]

PLoS One
Gao Y, Wang X, Niu M, Li J, Cai L, Li R.
europepmc   +1 more source

Anode/Electrolyte Interfacial Engineering Toward Sustainable and Practical Solid‐State Metal‐Sulfur Batteries: A Prospective Review

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Coordinated engineering of the anode, electrolyte, and interface underpins the rational design of next‐generation solid‐state metal‐sulfur batteries. Solid‐state metal‐sulfur batteries are emerging as a transformative energy storage platform with the potential to overcome the fundamental limitations of conventional flooded cells, particularly ...
Ziyu Feng, Hong Zhang, Peng Wang, Ke Lu, Fei Du   +4 more
wiley   +1 more source

Adaptive intelligent controller for a lower limb rehabilitation robot using QAOA-based online membership optimization. [PDF]

Sci Rep
Abd-Elhaleem S, El-Garawany AH, El-Brawany M.   +2 more
europepmc   +1 more source