Results 51 to 60 of about 33,884 (245)

A Review on Recent Trends of Bioinspired Soft Robotics: Actuators, Control Methods, Materials Selection, Sensors, Challenges, and Future Prospects

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker, Tamzid Ul Islam, Md. Robiul Islam   +2 more
wiley   +1 more source

Imaging and locating paleo-channels using geophysical data from meandering system of the Mun River, Khorat Plateau, Northeastern Thailand

Open Geosciences, 2017
The Khorat Plateau from northeast Thailand, the upstream part of the Mun River flows through clastic sedimentary rocks. A massive amount of sand was transported.
Nimnate P., Thitimakorn T., Choowong M., Hisada K.   +3 more
doaj   +1 more source

Metalearning‐Driven Inverse Optimization for Precision Microstructure Fabrication in Digital Light Processing Three‐Dimensional Printing

Advanced Intelligent Systems, EarlyView.
Metalearning‐based inverse optimization enables precise microscale three‐dimensional printing using a DLP system. Distorted structures from conventional printing are analyzed via neural network regression, which predicts optimal exposure time and mask design.
Jae Won Choi, Suhyeong Lim, Jeongsu Lee, Cheol Woo Ha   +3 more
wiley   +1 more source

Method for Ground Penetrating Radar Identification of Intercalated Gangue Layers during Complex Structure Coal Seam Tunneling [PDF]

Journal of Electromagnetic Engineering and Science
During complex coal seam tunneling, the interlayer gangue impacts mining equipment cutting operations. Identifying interlayer gangue positions is crucial for guiding the advanced control of the cutting arm swing speed.
Ying Tian, Chunzhi Li, Zihao Wang, Shuo Chen, Fuyan Lyu, Qiang Zhang, Denggao Hu   +6 more
doaj   +1 more source

Artificial Intelligence for Multiscale Modeling in Solid‐State Physics and Chemistry: A Comprehensive Review

Advanced Intelligent Systems, EarlyView.
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy, Vitalii Kapitan, Andrey Ustyuzhanin   +2 more
wiley   +1 more source

Accuracy analysis in determining the location of underground objects using GPR involving lidar data [PDF]

Archives of Civil Engineering
Ground penetrating radar (GPR) is one of the most useful non-destructive techniques for locating underground objects. Advancements in this technology have facilitated the development of new sensors over the past decade.
Anna Lejzerowicz, Paweł Czernic, Magdalena Pilarska-Mazurek, Kamil Załęgowski, Jakub Górka, Krzysztof Bakuła   +5 more
doaj   +1 more source

A machine learning approach of exploring nexus between geopolitical risk and Indian economic uncertainty: a comparative review [PDF]

Surveys in Mathematics and its Applications
The purpose of the study is to explore the causal connection between geopolitical risk and the Indian Uncertainty Index, with a focus on comparing the old and new uncertainty index.
Bharat Kumar Meher, Abhishek Anand , Virgil Popescu , Ramona Birau, Iuliana Carmen Bărbăcioru   +4 more
doaj  

Structure and nature of the Palaeozoic basement based on magnetic, gravimetric and seismic investigations in the central Upper Rhinegraben

Geothermal Energy, 2018
New and old magnetic and gravimetric data acquired in the frame of a geothermal project have been processed in N. Vosges and the adjacent Rhinegraben in order to identify the nature and tectonic framework of the graben basement and to select areas with a
J. B. Edel, V. Maurer, E. Dalmais, A. Genter, A. Richard, O. Letourneau, R. Hehn   +6 more
doaj   +1 more source

Application of GPR and FWD in Assessing Pavement Bearing Capacity

Romanian Journal of Transport Infrastructure, 2013
The process of pavement maintenance and rehabilitation starts by collecting the data which will form the base for evaluation of pavement functional and structural condition.
Domitrović Josipa, Rukavina Tatjana
doaj   +1 more source

Axial Capacity Estimation of FRP-strengthened Corroded Concrete Columns [PDF]

Journal of Soft Computing in Civil Engineering
This research presents a machine learning (ML) based model to estimate the axial strength of corroded RC columns reinforced with fiber-reinforced polymer (FRP) composites.
Chandan Gupta, Harish Arora, Aman Kumar, Prashant Kumar, Nishant Raj Kapoor, Madhu Sharma   +5 more
doaj   +1 more source