Results 61 to 70 of about 560 (237)
The Journal of Engineering, 2019 Sea clutter is often examined to be of spatial-temporal correlation which highly affects the detection performance on ship targets for airborne early warning radar.
Mao Huihuang +3 more
doaj +1 more source
Sea Clutter Amplitude Prediction Using a Long Short-Term Memory Neural Network
, 2019 In the marine environment, shore-based radars play an important role in military surveillance and sensing. Sea clutter is one of the main factors affecting the performance of shore-based radar.
Tan, Ma, Zhang, Jeon, Wu
core +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 +5 more
wiley +1 more source
Method for weak target detection in sea environment
The Journal of Engineering, 2019 In this study, a new method for sea surface target detection in low signal-to-clutter environment is proposed, which can not only reduce the computation amount but also suppress the sea clutter, static targets and noise.
Chang Gao, Ran Tao, Xuejing Kang
doaj +1 more source
Interpreting How Neural Networks Infer Scatterer Geometry from Echolocation Echoes
Advanced Intelligent Systems, EarlyView.Neural networks enable echolocation‐based shape classification but remain difficult to interpret due to their black‐box nature. This work presents a feature‐importance metric to uncover the echo regions driving decisions in shape‐specialized networks.
Ganesh U. Patil +2 more
wiley +1 more source
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 +2 more
wiley +1 more source
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 +3 more
wiley +1 more source
Sea-detecting X-band Radar and Data Acquisition Program
Leida xuebao, 2019 To meet the radar data requirements of target detection technology research and address the lack of publicly available sea-detecting radar data, a data-sharing program for sea-detecting radar is proposed herein.
LIU Ningbo +7 more
doaj +1 more source
From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion
Journal of Consumer Behaviour, EarlyView.ABSTRACT This paper reconceptualizes consumer confusion as a multi‐stage temporal process rather than a static outcome, addressing theoretical fragmentation in existing antecedent‐consequence models. By integrating cognitive appraisal, contextual amplification, and adaptive coping within a unified framework, we explain how confusion unfolds rather than
Fatih Celik, Erdogan Koc
wiley +1 more source
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 +5 more
wiley +1 more source