Search Results - Haibin Wang
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Robust Fractional Low Order Adaptive Linear Chirplet Transform and Its Application to Fault Analysis
Published 2025-07-01Get full textTime-frequency analysis (TFA) technology is an important tool for analyzing non-Gaussian mechanical fault vibration signals. In the complex background of infinite variance process noise and Gaussian colored noise, it is difficult for traditional methods to obtain the highly concentrated time-frequen...
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The “Hand-as-Foot” teaching method in the deltoid ligament of the ankle
Published 2025-07-01 Get full text
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Robust multisynchrosqueezing transform time frequency technologies with application to fault diagnosis
Published 2025-09-01Get full textTime-frequency analysis (TFA) methods serve as effective tools for analyzing stationary signals.Multisynchrosqueezing Transform (MSST) represents a novel post-processing TFA technology designed for pulse-like signals or noisy environments, aiming to enhance the concentration of time–frequency energy...
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A hybrid machine learning approach to unravel monsoon variability and meteorological dynamics of Pakistan's 2010 and 2022 historic floods
Published 2025-08-01Get full textStudy region: Pakistan. Study focus: While large-scale climatic conditions have been studied, localized meteorological dynamics and their role in flooding are not fully understood. This study examined the factors associated with the flood events of 2010 and 2022. The research employed Random Forest...
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Simulation of the Liquid–Solid Coupling in the Distribution Law of Water-Conducted Fractures in Weakly Cemented Overburden Strata as Exemplified by Daliuta Coal Mine in Western Chi...
Published 2025-01-01Get full textBased on the engineering background of the Daliuta mining area, the distribution of fractures and movement of water within weakly cemented overlying strata were studied with a physical simulation of liquid–solid coupling and a COMSOL numerical simulation test. The results showed that after the initi...
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Adaptive Convolution Kernels Construction Based on Unsupervised Learning for Underwater Acoustic Detection
Published 2025-06-01Get full textIn the field of Direction of Arrival (DOA) estimation, due to the complexity of ocean noise and the limitations of using array apertures, the bearing time record (BTR) obtained by CBF typically exhibits low signal-to-noise ratio (SNR) and wide mainlobe width. To address this issue, we propose an ada...
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Multi-Information-Assisted Bistatic Active Sonar Target Tracking for Autonomous Underwater Vehicles in Shallow Water
Published 2025-06-01Get full textBistatic active sonar enables robust and precise target position and tracking, making it a key technology for autonomous underwater vehicles (AUVs) in underwater surveillance. This paper proposes a multi-information-assisted target tracking algorithm for bistatic active sonar, leveraging spatial and...
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Joint Transcriptomic and Metabolomic Analysis of Molecular Physiological Mechanisms of Tea Tree Roots in Response to pH Regulation
Published 2025-07-01Get full textThe tea tree root system is an important tissue for nutrient uptake, accumulation, and transport, and pH is an important environmental factor regulating the growth of tea tree (<i>Camellia sinensis</i>). However, the physiological and molecular mechanisms of how the tea tree root system...
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Aroma-Driven Differentiation of Wuyi Shuixian Tea Grades: The Pivotal Role of Linalool Revealed by OAV and Multivariate Analysis
Published 2025-06-01Get full textWuyi Shuixian tea, a premium oolong tea known for its complex floral-fruity aroma, exhibits significant quality variations across different grades. This study systematically analyzed the aroma characteristics and key fragrant compounds of four grades (Grand Prize SA, First Prize SB, Outstanding Awar...
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Household clusters of SARS-CoV-2 Omicron subvariants contemporaneously sequenced from dogs and their owners
Published 2025-07-01Get full textABSTRACT Monitoring the zoonotic potential of emerging SARS-CoV-2 variants in animals is a critical tool to protect public health. We conducted a longitudinal study in 47 households reporting people with COVID-19 in Texas from January to July 2022, during the first Omicron wave. We evaluated 105 peo...
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