Results 81 to 90 of about 1,859 (209)

An unsupervised incremental learning model to predict geological conditions for earth pressure balance shield tunneling

Journal of Rock Mechanics and Geotechnical Engineering
Current machine learning models for predicting geological conditions during earth pressure balance (EPB) shield tunneling predominantly rely on accurate geological conditions as model label inputs.
Jiajie Zhen, Fengwen Lai, Jim S. Shiau, Ming Huang, Yao Lu, Jinhua Lin   +5 more
doaj   +1 more source

Co‐Design of Stretchable Fabric Sensors and Tiny Machine Learning for Human Interface Device‐Based Edge‐Intelligent Wearable Gloves

Advanced Intelligent Systems, EarlyView.
A flexible smart glove integrated with textile sensors enables real‐time hand gesture recognition for human–machine interaction. Using edge AI inference and Bluetooth communication, the system translates finger movements into human interface device commands to control endpoint devices efficiently.
Chi Cuong Vu, Tuan Nghia Nguyen, Minh‐Thanh Le   +2 more
wiley   +1 more source

Application of Modified Peck Formula for Metro Shield Tunneling Construction inWater-bearing Sandy Soil Layers in Nanchang

Chengshi guidao jiaotong yanjiu
[Objective] Due to the influence of geological conditions, tunnel burial depth, tunnel diameter, and properties of the overlying soil layer, the Peck formula exhibits significant deviations when applied to the shield tunneling construction in water ...
ZHOU Chenghua, WANG Shunmin, LIN Xiaoqiong, XU Kaicheng, CHEN Mengcheng, ZHANG Ji   +5 more
doaj   +1 more source

Determination of 3D Analytical Parameters for Ground Deformation Induced by Stratum Loss during Shield Tunneling

Chengshi guidao jiaotong yanjiu
[Objective] Shield tunneling inevitably induce stratum loss, subsequently causing ground deformation. Existing analytical solutions use undetermined parameters as inputs, but the complexity of parameter determination limits the application of analytical ...
LI Xinlong, ZHOU Kai, WANG Yalei, ZHAO Jiale, LIU Yang   +4 more
doaj   +1 more source

Predicting Model of Dual-Mode Shield Tunneling Parameters in Complex Ground Using Recurrent Neural Networks and Multiple Optimization Algorithms

Applied Sciences
Based on the left tunnel of the Liuxiandong Station to Baimang Station section of Shenzhen Metro Line 13 (China), a prediction model for the advanced rate of dual-mode shield tunneling in complex strata was established to explore intelligent tunneling ...
Taihua Yang, Tian Wen, Xing Huang, Bin Liu, Hongbing Shi, Shaoran Liu, Xiaoxiang Peng, Guangzu Sheng   +7 more
doaj   +1 more source

Displacement Response Characteristics and Instability Risk Assessment of Excavation Face in Deep-Buried Shield Tunnel

Buildings
To prevent the occurrence of excavation face instability incidents during shield tunneling, this study takes the Bailuyuan tunnel of the ‘Hanjiang-to-Weihe River Water Diversion Project’ as the engineering background. A three-dimensional discrete element
Chenyang Zhu, Xin Huang, Chong Xu, Guangyi Yan, Jiaqi Guo, Qi Liang   +5 more
doaj   +1 more source

Disturbance Deformation Influence and Field Measurement Study of Metro Shield Under-passing High Building Foundation

Chengshi guidao jiaotong yanjiu
Objective With an increasing number of cases involving metro shield tunneling through or in proximity to high buildings in urban rail transit projects, the shield tunneling method inevitably causes disturbances to the ground due to its unique ...
Kun ZHANG, Qianwei XU, Qingwen SUN, Hairu XUE, Shouxi LAI   +4 more
doaj   +1 more source

The petrotympanic canal (Huguier canal): Evolutionary, anatomical, and medical perspectives

The Anatomical Record, EarlyView.
Abstract The petrotympanic canal, traditionally referred to as Civinini's or Huguier's canal, represents an anatomical passage connecting the middle ear and temporomandibular joint (TMJ). Despite its early description, its structural complexity and functional significance have often been underestimated. In this study, we combined historical, anatomical,
Andrea Papini, Nicola Montemurro, Ferdinando Paternostro, Immacolata Belviso, Massimo Galli, Petra Martini, Licia Uccelli, Jacopo Moggi‐Cecchi, Gregorio Oxilia   +8 more
wiley   +1 more source

Scientific collaboration in data‐intensive research networks: PhD fellows' expectations and early experiences

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Collaboration has become important at all stages of research careers. In data‐intensive research fields such as wind energy, many PhD fellows are socialized to such collaboration in networks that train a cohort of PhD fellows. Based on interviews with 23 PhD fellows in four wind‐energy training networks, we investigate their expectations and ...
Grischa Fraumann, Haakon Lund, Frans van der Sluis, Morten Hertzum   +3 more
wiley   +1 more source

Prediction of subway shield construction parameters based on multi-layer perceptron

Shenzhen Daxue xuebao. Ligong ban
Shield construction technology has been widely used in subway construction, and reasonable prediction of shield tunneling parameters is of great practical significance for improving construction safety and reducing operational difficulties.Taking a ...
LI Wenqian, WU Yunhuan, WU Jingye, CHEN Zhihuai, XIE Senlin, HU Anfeng   +5 more
doaj   +1 more source