Results 51 to 60 of about 444 (225)
Designing Wire Mazes for Replicating Natural Echoes to Study Bat Biosonar Function
A validated framework combining efficient physical modeling (multiple scattering model) and deep learning is presented to guide wire‐maze design for bat biosonar studies. This approach rapidly generates large datasets to test acoustic distinguishability among wire arrangements.
Chunlin Jia +3 more
wiley +1 more source
An airborne radar sea clutter spectrum parameters estimation method based on intelligent learning
Traditional airborne radar sea clutter suppression methods have a high degree of human participation and large errors in estimating the clutter power spectrum.
FAN Yifei +5 more
doaj +1 more source
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
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
Clutter Suppression and Marine Target Detection for Radar Images Based on INet
A marine radar device is a major navigation tool for boaters and ships. The images produced by marine radars detect not only hard targets such as ships and coastlines, but also reflections from the sea surface, known as sea clutter.
Xiaoqian MOU +5 more
doaj +1 more source
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
Detecting weak radar targets in complex sea conditions is inherently challenging due to non-stationary sea clutter and sea spikes. Furthermore, traditional dictionary learning algorithms for clutter suppression suffer from high computational complexity ...
Jin Wang, Yubing Han, Yancun Lyu
doaj +1 more source
Diversity, Inclusion, and Firm Performance: The Corporate Innovation Channel
ABSTRACT This paper examines whether corporate innovation—measured both as general innovative output and as environmental innovation—mediates the relationship between diversity and inclusion (D&I) and corporate financial performance (CFP). Prior research has documented positive, negative, and null associations between D&I and financial outcomes, but ...
Eleonora Monaco +3 more
wiley +1 more source
Method for weak target detection in sea environment
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
From Confusion to Clarity: A Multi‐Stage Process Framework for Understanding Consumer Confusion
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

