Search Results - "Jin, Yin"

Self-hydrogenated shell promoting photocatalytic H2 evolution on anatase TiO2 by Lu, Yue, Yin, Wen-Jin, Peng, Kai-Lin, Wang, Kuan, Hu, Qi, Selloni, Annabella, Chen, Fu-Rong, Liu, Li-Min, Sui, Man-Ling

“…As one of the most important photocatalysts, TiO 2 has triggered broad interest and intensive studies for decades. Observation of the interfacial reactions…”
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Bayesian neural network-based uncertainty modelling: application to soil compressibility and undrained shear strength prediction by Zhang, Pin, Yin, Zhen-Yu, Jin, Yin-Fu

“…This study adopts the Bayesian neural network (BNN) integrated with a strong non-linear fitting capability and uncertainty, which has not previously been used…”
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Application of LSTM approach for modelling stress–strain behaviour of soil by Zhang, Ning, Shen, Shui-Long, Zhou, Annan, Jin, Yin-Fu

“…This paper presents a new trial to reproduce soil stress–strain behaviour by adapting a long short-term memory (LSTM) deep learning method. LSTM is an approach…”
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MicroRNA‐375‐3p enhances chemosensitivity to 5‐fluorouracil by targeting thymidylate synthase in colorectal cancer by Xu, Fei, Ye, Ming‐Liang, Zhang, Yu‐Peng, Li, Wen‐Jie, Li, Meng‐Ting, Wang, Hai‐Zhou, Qiu, Xiao, Xu, Yan, Yin, Jin‐Wen, Hu, Qian, Wei, Wan‐Hui, Chang, Ying, Liu, Lan, Zhao, Qiu

“…Resistance to chemotherapy is a major challenge for the treatment of patients with colorectal cancer (CRC). Previous studies have found that microRNAs (miRNAs)…”
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Optimization techniques for identifying soil parameters in geotechnical engineering: Comparative study and enhancement by Yin, Zhen‐Yu, Jin, Yin‐Fu, Shen, Jack Shuilong, Hicher, Pierre‐Yves

“…Summary A comparative study of optimization techniques for identifying soil parameters in geotechnical engineering was first presented. The identification…”
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State-of-the-Art Review of Machine Learning Applications in Constitutive Modeling of Soils by Zhang, Pin, Yin, Zhen-Yu, Jin, Yin-Fu

“…Machine learning (ML) may provide a new methodology to directly learn from raw data to develop constitutive models for soils by using pure mathematic skills…”
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Tough‐Hydrogel Reinforced Low‐Tortuosity Conductive Networks for Stretchable and High‐Performance Supercapacitors by Hua, Mutian, Wu, Shuwang, Jin, Yin, Zhao, Yusen, Yao, Bowen, He, Ximin

“…All‐solid‐state supercapacitors are seeing emerging applications in flexible and stretchable electronics. Supercapacitors with high capacitance, high power…”
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Enhancement of backtracking search algorithm for identifying soil parameters by Jin, Yin‐Fu, Yin, Zhen‐Yu

“…Summary In this paper, an enhanced backtracking search algorithm (so‐called MBSA‐LS) for parameter identification is proposed with two modifications: (a)…”
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Physics-Informed Multifidelity Residual Neural Networks for Hydromechanical Modeling of Granular Soils and Foundation Considering Internal Erosion by Zhang, Pin, Yin, Zhen-Yu, Jin, Yin-Fu, Yang, Jie, Sheil, Brian

“…AbstractCoupled hydromechanical finite-element modeling of granular soils, taking into account internal erosion, is computationally prohibitive. Alternative…”
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Machine Learning-Based Modelling of Soil Properties for Geotechnical Design: Review, Tool Development and Comparison by Zhang, Pin, Yin, Zhen-Yu, Jin, Yin-Fu

“…Machine learning (ML) holds significant potential for predicting soil properties in geotechnical design but at the same time poses challenges, including those…”
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Machine learning–based uncertainty modelling of mechanical properties of soft clays relating to time‐dependent behavior and its application by Zhang, Pin, Jin, Yin‐Fu, Yin, Zhen‐Yu

“…Uncertainty is a commonplace and significant issue in geotechnical engineering. Unlike conventional statistical and machine learning methods, this study…”
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An AI‐based model for describing cyclic characteristics of granular materials by Zhang, Pin, Yin, Zhen‐Yu, Jin, Yin‐Fu, Ye, Guan‐Lin

“…Summary Modelling cyclic behaviour of granular soils under both drained and undrained conditions with a good performance is still a challenge. This study…”
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A novel hybrid surrogate intelligent model for creep index prediction based on particle swarm optimization and random forest by Zhang, Pin, Yin, Zhen-Yu, Jin, Yin-Fu, Chan, Tommy H.T.

“…•An intelligent surrogate model is proposed for predicting soil creep index.•Three best models are recommended for engineering practice.•The robustness of…”
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Risk assessment of e-waste - Liquid Crystal Monomers re-suspension caused by coastal dredging operations by He, Chang, Stocchino, Alessandro, He, Yuhe, Leung, Kenneth Mei Yee, De Leo, Francesco, Yin, Zhen-Yu, Jin, Yin-Fu

“…The Pearl River Estuary (PRE), one of the primary e-waste recycling centers in the world, has been suffering from the pollution of Liquid Crystal Monomers…”
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A Multinational Study of Patient Preferences for How Decisions Are Made in Their Care by Pines, Rachyl, Sheeran, Nicola, Jones, Liz, Pearson, Annika, Pamoso, Aron H., Jin, Yin (Blair), Benedetti, Maria

“…Inadequate consideration has been given to patient preferences for patient-centered care (PCC) across countries or cultures in our increasingly global society…”
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Halophiles, coming stars for industrial biotechnology by Yin, Jin, Chen, Jin-Chun, Wu, Qiong, Chen, Guo-Qiang

“…Industrial biotechnology aims to produce chemicals, materials and biofuels to ease the challenges of shortage on petroleum. However, due to the disadvantages…”
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Modeling Mechanical Behavior of Very Coarse Granular Materials by Yin, Zhen-Yu, Hicher, Pierre-Yves, Dano, Christophe, Jin, Yin-Fu

“…AbstractA novel approach has been developed to predict the mechanical behavior of very coarse granular materials with a constitutive model, which considers…”
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Selection of sand models and identification of parameters using an enhanced genetic algorithm by Jin, Yin-Fu, Yin, Zhen-Yu, Shen, Shui-Long, Hicher, Pierre-Yves

“…Summary Numerous constitutive models of granular soils have been developed during the last few decades. As a consequence, how to select an appropriate model…”
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A fast density-based data stream clustering algorithm with cluster centers self-determined for mixed data by Chen, Jin-Yin, He, Hui-Hao

“…Most data streams encountered in real life are data objects with mixed numerical and categorical attributes. Currently most data stream algorithms have…”
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Physics‐constrained hierarchical data‐driven modelling framework for complex path‐dependent behaviour of soils by Zhang, Pin, Yin, Zhen‐Yu, Jin, Yin‐Fu, Sheil, Brian

“…There is considerable potential for data‐driven modelling to describe path‐dependent soil response. However, the complexity of soil behaviour imposes…”
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