Sheng Chen

Platelet‐Rich Fibrin (PRF) Promotes Maxillary Sinus Bone Regeneration: A Randomised Clinical Trial and Proteomic Analysis

Sheng Chen, Huixin Lv, Sicong Ren, Yihan Wang et autres

AIM: To compare the percentage of new bone formation as the primary outcome of bone regeneration at 6 months after maxillary sinus floor elevation (MSFE) using platelet-rich fibrin (PRF) combined with deproteinised bovine bone mineral (DBBM) versus DBBM alone, and to explore …

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A CFD-Informed Gaussian Model for Deep-Sea Hydrothermal Plume Dispersion under Near-Bottom Cross-Flow

Sheng Chen, Xin Lin, Weichang Zhou, Jie Yang

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Intelligent application of Beidou satellite positioning and artificial intelligence algorithm in information verification of new energy automation equipment

Jianwei Ma, Sheng Chen, Huang Song, Jing Luo et autres

With the rapid growth of the new energy industry, equipment management has become increasingly complex, while GPS-based positioning suffers from low accuracy and weak anti-interference capability. This study focuses on wind turbines and proposes an information verification method combining Beidou satellite positioning …

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Fusion application of intelligent sensing technology and artificial intelligence algorithm in information verification of new energy grid connection monitoring

Zhongqiang Zhou, Sheng Chen, Jing Luo, Wentao Yuan et autres

Abstract Traditional monitoring systems rely on different types of sensors in the field of new energy grid connection monitoring. The collected data have inconsistent problems; the monitoring method is not real-time enough; the fault detection and anomaly recognition accuracy is low. This …

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Using meta-heuristic algorithms with multi-layer perceptron for prediction of ultimate bearing capacity

Jie Cai, Jinwen Zhou, Mingang Li, Sheng Chen

This study presents an innovative approach to predicting the Ultimate Bearing Capacity (Qu) in civil engineering, integrating a Multi-layer Perceptron (MLP) neural network using the Artificial Rabbits Optimization (ARO) and Improved Manta-Ray Foraging Optimizer (IMRFO) methods. The MLP effectively captures complex, non-linear …

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Towards Causal Spatio-Temporal Modeling: A Contrastive and Generative Perspective

A Q Zhang, Sheng Chen, Lilan Peng, Pengcheng Wu et autres

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Dynamic characteristics of two-vent submarine hydrothermal plumes: A case study of Longqi hydrothermal field

Weichang Zhou, Sheng Chen, Junyi Yang

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Underwater Image Color Constancy Calculation with Optimized Deep Extreme Learning Machine Based on Improved Arithmetic Optimization Algorithm

Junyi Yang, Qichao Yu, Sheng Chen, Donghe Yang

To overcome the challenges posed by the underwater environment and restore the true colors of marine objects’ surfaces, a novel underwater image illumination estimation model, termed the iterative chaotic improved arithmetic optimization algorithm for deep extreme learning machines (IAOA-DELM), is proposed. In …

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Assessment of RANS Turbulence Models in Prediction of the Hydrothermal Plume in the Longqi Hydrothermal Field

Wei Qiang Zhao, Sheng Chen, Junyi Yang, Weichang Zhou

In this paper, the numerical models are selected to simulate the hydrothermal plume based on the water temperature observation data of the Longqi hydrothermal field in the Southwest Indian Ridge (SWIR). Then, the unsteady Reynolds-averaged Navier–Stokes equations are solved to evaluate the …

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Illumination correction with optimized kernel extreme learning machine based on improved marine predators algorithm

Junyi Yang, Sheng Chen

Abstract Aiming at the problem of poor image illumination correction accuracy, a kernel extreme learning machine optimized based on the differential evolution‐improved marine predators algorithm is proposed to estimate the scene illumination information and restore the image. First, in order to solve …

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Illumination correction model with sine‐cosine algorithm to optimize gray wolf population for least‐squares support vector regression

Junyi Yang, Haitao Zhao, Sheng Chen

Abstract The color of an object appears different from its true color when illuminated with light sources of different hues. To solve this problem, this article proposes a combination algorithm (SCA‐GWO‐LSSVR) based on the sine‐cosine algorithm (SCA) and the gray wolf optimization …

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Seafloor Hydrothermal Activity around a Large Non-Transform Discontinuity along Ultraslow-Spreading Southwest Indian Ridge (48.1–48.7° E)

Dong Chen, Chunhui Tao, Yuan Wang, Sheng Chen et autres

Non-transform discontinuity (NTD) is one category of tectonic units along slow- and ultraslow-spreading ridges. Some NTD-related hydrothermal fields that may reflect different driving mechanisms have been documented along slow-spreading ridges, but the discrete survey strategy makes it hard to evaluate the incidence …

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