Results 51 to 60 of about 87,896 (215)

Data‐driven analysis of the spatial dependence of grouting efficiency during tunnel excavation

Deep Underground Science and Engineering, EarlyView.
Prediction of grouting efficiency using machine learning is enhanced by adopting a training strategy that accounts for the grouting process across multiple rounds. Abstract Grouting with water–cement mixtures is the most widely used and cost‐effective method for managing excess water inflow during tunnel construction.
Huaxin Liu, Xunchang Fei, Wei Wu
wiley   +1 more source

Kalman and Cauchy clustering for anomaly detection based authentication of IoMTs using extreme learning machine

IET Communications, EarlyView., 2022
Abstract The vulnerabilities of the Internet of Things (IoTs) in general and the Internet of Mobile Things (IoMTs) in particular motivate researchers to equip them with security systems against intruders and attacks. The integration of anomaly detection with intrusion detection for IoMTs has not been addressed adequately.
Tamara Saad Mohamed, Sezgin Aydin, Ahmed Alkhayyat, Rami Q. Malik   +3 more
wiley   +1 more source

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

Range‐free disparity estimation with self‐adaptive dual‐matching

IET Computer Vision, EarlyView., 2022
Abstract Depth estimation from stereo images is an important task in computer vision. Despite of the great contributions that are made in this field, most matching‐based methods still face the limitations brought by a pre‐set‐fixed disparity range. Stereo matching is reconsidered using a specially designed dual‐matching method with a cross‐attention ...
Shuqiao Sun, Rongke liu, Shantong Sun
wiley   +1 more source

Researching Attitude–Identity Dynamics to Understand Social Conflict and Change

European Journal of Social Psychology, EarlyView.
Abstract Societies undergo constant change, manifested in various ways such as technological developments, economic transitions, reorganization of cultural values and beliefs, or changes in social structures. Individuals play an active role in shaping social and societal change by interactively negotiating its manifestation.
Adrian Lüders, Mike Quayle, Paul Maher, Ana‐Maria Bliuc, Pádraig MacCarron   +4 more
wiley   +1 more source

Multi‐view short‐term photovoltaic power prediction combining satellite images feature learning and graph mutual information feature representation

IET Computer Vision, EarlyView., 2023
This paper explores the cloud information elements of the satellite images from a multi‐view perspective, and performs feature extraction and processing of the meteorological information it contains to learn the impact of cloud cover on photovoltaic (PV) prediction.
Yuxing Dai, Jing Lai, Xuexin Xu, Jianbing Xiahou, Jie Lian, Zhihong Zhang   +5 more
wiley   +1 more source

Precision planter monitoring system based on mobile communication network

IET Networks, EarlyView., 2022
Abstract Sowing is an important link in agricultural production and the basis for ensuring high yields and bumper harvests. Agriculture requires precision plows with good performance and stable work. However, the seeding process is in a completely closed state, and the operator relies mainly on experience to judge the operating state and performance of
Bing Li, Jiyun Li
wiley   +1 more source

Energy Sources and Thermal Management Technologies for Electric Vehicle Batteries: A Technical Review

Global Challenges, EarlyView.
Overview of Battery Thermal Management System (BTMS) methods, including air, liquid, cold plate, and hybrid cooling strategies—highlighting direct/indirect liquid techniques and hybrid integrations like PCM, refrigerant, and heat pipe systems. Abstract Efficient thermal management of high‐power lithium‐ion batteries (LiBs) is critical for ensuring ...
Md Atiqur Rahman, Gurrala Mohith Venu Reddy, Rajeshwari Chatterjee, Soumili Hait, S. M. Mozammil Hasnain, Prabhu Paramasivam, Leliso Hobicho Dabelo   +6 more
wiley   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

IET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

A New Interpolation-Based Super-Resolution Algorithm by the Cubic Spline Interpolation for Edge Pixels and Iterative Update Method

, 2016
-Since the interpolation-based image super-resolution algorithms can be executed very fast, it is the research focus of this paper. However, in the traditional interpolation-based super-resolution algorithms, the image edges are usually blurred and the ...
C. Duanmu, Di Zhao
semanticscholar   +1 more source