Jianchun Mi
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View article: Predicting Postoperative Sepsis Risk in Diabetic Urolithiasis Patients: A Multimodal Clinical Data-Driven Machine Learning Model
Predicting Postoperative Sepsis Risk in Diabetic Urolithiasis Patients: A Multimodal Clinical Data-Driven Machine Learning Model Open
Objective Diabetic patients are more prone to urinary tract infections due to metabolic abnormalities and impaired immune function, which can progress to urosepsis. This study aims to construct and validate an efficient and accurate predic…
View article: Towards Sustainable Construction: Experimental and Machine Learning-Based Analysis of Wastewater-Integrated Concrete Pavers
Towards Sustainable Construction: Experimental and Machine Learning-Based Analysis of Wastewater-Integrated Concrete Pavers Open
The escalating global demand for fresh water, driven by urbanization and industrial growth, underscores the need for sustainable water management, particularly in the water-intensive construction sector. Although prior studies have primari…
View article: Testing of biodegraded refashioning waste cable polyethylene film and regulation of recycled polyhydroxyalkanoates
Testing of biodegraded refashioning waste cable polyethylene film and regulation of recycled polyhydroxyalkanoates Open
View article: Fuzzy Fault Tree Maintenance Decision Analysis for Aviation Fuel Pumps Based on Nutcracker Optimization Algorithm–Graph Neural Network Improvement
Fuzzy Fault Tree Maintenance Decision Analysis for Aviation Fuel Pumps Based on Nutcracker Optimization Algorithm–Graph Neural Network Improvement Open
As a critical component of the engine, the failure of aviation fuel pumps can lead to serious safety accidents, necessitating the development of effective maintenance programs. Fault Tree Analysis (FTA) has a clear structure and strong int…
View article: Leveraging advanced AI algorithms with transformer-infused recurrent neural networks to optimize solar irradiance forecasting
Leveraging advanced AI algorithms with transformer-infused recurrent neural networks to optimize solar irradiance forecasting Open
Solar energy (SE) is vital for renewable energy generation, but its natural fluctuations present difficulties in maintaining grid stability and planning. Accurate forecasting of solar irradiance (SI) is essential to address these challenge…
View article: MILD combustion characteristics of a premixed CH4/air jet flame in hot coflow from a bluff-body burner
MILD combustion characteristics of a premixed CH4/air jet flame in hot coflow from a bluff-body burner Open
This numerical study is designated to comparatively investigate premixed CH4/air jet flames from bluff-body (BB) and non-BB (NBB) burners in the coflow of hot exhaust gas. Specifically, traditional combustion (TC) from BB burner (BB-TC), M…
View article: Furnace MILD combustion versus its open counterpart in hot coflow
Furnace MILD combustion versus its open counterpart in hot coflow Open
The open jet flame in hot co-flow (JHC) has been frequently utilized for fundamental investigations of Moderate or Intense Low-oxygen Dilution (MILD) combustion due to its controllable conditions and relatively easy measurement capabilitie…
View article: Distinct combustion characteristics of a one-dimensional premixed laminar flame of ammonia under various combustion regimes
Distinct combustion characteristics of a one-dimensional premixed laminar flame of ammonia under various combustion regimes Open
The present study numerically investigates the distinct combustion characteristics of a one-dimensional premixed laminar flame of gaseous ammonia under traditional, MILD, and high-temperature combustion regimes. Specifically, we examine th…
View article: Advancing solar energy forecasting with modified ANN and light GBM learning algorithms
Advancing solar energy forecasting with modified ANN and light GBM learning algorithms Open
In the evolving field of solar energy, precise forecasting of Solar Irradiance (SI) stands as a pivotal challenge for the optimization of photovoltaic (PV) systems. Addressing the inadequacies in current forecasting techniques, we introdu…
View article: AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning
AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning Open
The need for accurate solar energy forecasting is paramount as the global push towards renewable energy intensifies. We aimed to provide a comprehensive analysis of the latest advancements in solar energy forecasting, focusing on Machine L…
View article: Towards Optimal Solar Energy Integration: A Deep Dive into AI-Enhanced Solar Irradiance Forecasting Models
Towards Optimal Solar Energy Integration: A Deep Dive into AI-Enhanced Solar Irradiance Forecasting Models Open
Keywords: Artificial Neural Network (ANN), Support Vector Machine (SVM), Support Vector Regression (SVR), Lightweight Gradient Boosting Machines (Light GBM), Machine Learning, Solar Irradiance (SI), Solar forecasting
View article: Mild Combustion of a Premixed Nh3/Air Jet Flame in Hot Coflow Versus its Ch4/Air Counterpart
Mild Combustion of a Premixed Nh3/Air Jet Flame in Hot Coflow Versus its Ch4/Air Counterpart Open
View article: Numerical Study on the Ignition and Combustion of Ch4 Jet Flame in Diluted and Undiluted Coflows
Numerical Study on the Ignition and Combustion of Ch4 Jet Flame in Diluted and Undiluted Coflows Open
View article: A Self-Powered Triboelectric Negative Ion Generator in Pipeline
A Self-Powered Triboelectric Negative Ion Generator in Pipeline Open
View article: Assessing the Feasibility of Lsipf and Relad-Ann Machine Learning Models for the Prediction of Solar Irradiance to Revitalize Solar Energy Management
Assessing the Feasibility of Lsipf and Relad-Ann Machine Learning Models for the Prediction of Solar Irradiance to Revitalize Solar Energy Management Open
View article: High Performance Additional Mass Enhanced Film Structure Triboelectric Nanogenerator for Scavenging Vibration Energy in Broadband Frequency Range
High Performance Additional Mass Enhanced Film Structure Triboelectric Nanogenerator for Scavenging Vibration Energy in Broadband Frequency Range Open
View article: High Performance Additional Mass Enhanced Film Structure Triboelectric Nanogenerator for Scavenging Vibration Energy in Broadband Frequency Range
High Performance Additional Mass Enhanced Film Structure Triboelectric Nanogenerator for Scavenging Vibration Energy in Broadband Frequency Range Open
View article: A Robust and Wearable Triboelectric Tactile Patch as Intelligent Human-Machine Interface
A Robust and Wearable Triboelectric Tactile Patch as Intelligent Human-Machine Interface Open
The human–machine interface plays an important role in the diversified interactions between humans and machines, especially by swaping information exchange between human and machine operations. Considering the high wearable compatibility a…
View article: Research on a film-flapping triboelectric nanogenerator for wind energy harvesting
Research on a film-flapping triboelectric nanogenerator for wind energy harvesting Open
The power supply for numerous wireless sensor network nodes is a bottleneck that restricts the development of Internet of Things. As a new energy harvesting method, Triboelectric Nanogenerator (TENG) has significant advantages in environme…
View article: Highly-Stretchable Rope-Like Triboelectric Nanogenerator for Self-Powered Monitoring in Marine Structures
Highly-Stretchable Rope-Like Triboelectric Nanogenerator for Self-Powered Monitoring in Marine Structures Open
View article: A Self-Powered and Low Pressure Loss Gas Flowmeter Based on Fluid-Elastic Flutter Driven Triboelectric Nanogenerator
A Self-Powered and Low Pressure Loss Gas Flowmeter Based on Fluid-Elastic Flutter Driven Triboelectric Nanogenerator Open
A self-powered and low pressure loss gas flowmeter is presently proposed and developed based on a membrane’s flutter driven triboelectric nanogenerator (TENG). Such a flowmeter, herein named “TENG flowmeter”, is made of a circular pipe in …
View article: Characterization of MILD Combustion of a Premixed CH<sub>4</sub>/Air Jet Flame versus Its Conventional Counterpart
Characterization of MILD Combustion of a Premixed CH<sub>4</sub>/Air Jet Flame versus Its Conventional Counterpart Open
This study is performed to characterize moderate or intense low-oxygen dilution (MILD) combustion (MC) versus conventional combustion (CC) of a premixed CH4/air jet flame in a hot coflow under identical inlet and ambient conditi…
View article: Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction
Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction Open
Solar energy predictive models designed to emulate the long-term (e.g., monthly) global solar radiation (GSR) trained with satellite-derived predictors can be employed as decision tenets in the exploration, installation and management of s…
View article: A modified lattice Bhatnagar-Gross-Krook model for convection heat transfer in porous media
A modified lattice Bhatnagar-Gross-Krook model for convection heat transfer in porous media Open
The lattice Bhatnagar-Gross-Krook (LBGK) model has become the most popular one in the lattice Boltzmann method for simulating the convection heat transfer in porous media. However, the LBGK model generally suffers from numerical instabilit…
View article: On two distinct Reynolds number regimes of a turbulent square jet
On two distinct Reynolds number regimes of a turbulent square jet Open