Results 51 to 60 of about 1,347 (235)

EMG‐Driven Telemetry and Inference System for Fish: Pose Reconstruction and Flow Sensing

Advanced Intelligent Systems, EarlyView.
This work introduces an electromyography (EMG)‐driven telemetry framework that reconstructs body pose and infers hydrodynamic conditions in freely swimming fish. A custom 16‐channel archival system records intramuscular EMG, enabling deep‐learning models to decode joint kinematics, classify flow regimes, and reveal channel‐efficient sensing strategies.
Rahdar Hussain Afridi, Waqar Hussain Afridi, Muhammad Hamza, Ahsan Tanveer, Mingxin Wu, Xingwen Zheng, Liang Li, Guangming Xie   +7 more
wiley   +1 more source

Non-Precipitation Echo Identification in X-Band Dual-Polarization Weather Radar

Remote Sensing
This study proposes a novel quality control method combining fuzzy logic and threshold discrimination for processing X-band dual-polarization radar data from Beijing.
Zihang Zhao, Hao Wen, Lei Wu, Ruiyi Li, Ting Zhuang, Yang Zhang   +5 more
doaj   +1 more source

Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding

Advanced Intelligent Systems, EarlyView.
Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga, Panagiotis Kalozoumis, Panagiotis Vartholomeos, Carlo Seneci, Kawal Rhode, Christos Bergeles   +5 more
wiley   +1 more source

Clutter Suppression Technology Based Space-time Adaptive ANM-ADMM-Net for Bistatic SAR

Leida xuebao
Bistatic Synthetic Aperture Radar (BiSAR) needs to suppress ground background clutter when detecting and imaging ground moving targets. However, due to the spatial configuration of BiSAR, the clutter poses a serious space-time nonstationary problem ...
Zhongyu LI, Haozhuo PI, Jun’ao LI, Qing YANG, Junjie WU, Jianyu YANG   +5 more
doaj   +1 more source

Clutter simulation and characterisation of space-borne GEO-LEO radar

The Journal of Engineering, 2019
Compared with ground radars, space-borne bistatic radar shows great advantages in higher signal-to-noise ratio (SNR) and robuster security. Firstly, this study establishes space-borne geosynchronous satellite-low orbiting satellite (GEO-LEO) space–time ...
Huihui Ding, Shunsheng Zhang, Wen-Qin Wang, Bingji Zhao   +3 more
doaj   +1 more source

A robust refined training sample reweighting space–time adaptive processing method for airborne radar in heterogeneous environment

IET Radar, Sonar & Navigation, 2021
To improve the clutter suppression performance of airborne radar in heterogeneous environment, a robust refined training sample reweighting space–time adaptive processing (STAP) method called RRSRW is proposed here.
Hao Xiao, Tong Wang, Shuguang Zhang, Cai Wen   +3 more
doaj   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source

Market and Nonmarket Strategies in Focus: How Entrepreneurs Tackling the Grand Challenge of Waste Management Navigate Institutional and Market Adversity in Ghana

Business Strategy and the Environment, EarlyView.
ABSTRACT Waste management remains a critical grand challenge in African countries. While entrepreneurship has been a viable strategy for addressing this challenge, it is fraught with constraints. This study investigates the strategies orchestrated by entrepreneurs to navigate adversity in Waste management and ensure the social and economic viability of
Tahiru Azaaviele Liedong, Abiodun Samuel Adegbile, Augustine Awuah Peprah, Bede Akorige Atarah   +3 more
wiley   +1 more source

Beam-Space Post-Doppler Reduced-Dimension STAP Based on Sparse Bayesian Learning

Remote Sensing
The space–time adaptive processing (STAP) technique can effectively suppress the ground clutter faced by the airborne radar during its downward-looking operation and thus can significantly improve the detection performance of moving targets. However, the
Junxiang Cao, Tong Wang, Degen Wang
doaj   +1 more source

Bridging Theory and Prediction: A Hybrid SEM and Machine Learning Approach to Optimize Lean Construction for Megaproject Sustainability in China

Corporate Social Responsibility and Environmental Management, EarlyView.
ABSTRACT Construction megaprojects, large‐scale, complex, and capital‐intensive, are particularly prone to inefficiencies, cost overruns, delays, and environmental degradation due to fragmented workflows, stakeholder misalignment, and resource intensity.
Abdelazim Ibrahim, Tarek Zayed, Zoubeir Lafhaj, Ahmed Maged, Ahmed Farouk Kineber, Jingchao Yang   +5 more
wiley   +1 more source