Ronghui Zhang
YOU?
Author Swipe
View article: A Hybrid Transformer–Mamba Model for Multivariate Metro Energy Consumption Forecasting
A Hybrid Transformer–Mamba Model for Multivariate Metro Energy Consumption Forecasting Open
With the rapid growth of urban populations and the expansion of metro networks, accurate energy consumption prediction has become a critical task for optimizing metro operations and supporting low-carbon city development. Traditional stati…
View article: An InDel insertion in the promoter of a UDP-ᴅ-glucuronate 4-epimerase 1 gene enhances maize resistance to Fusarium ear rot
An InDel insertion in the promoter of a UDP-ᴅ-glucuronate 4-epimerase 1 gene enhances maize resistance to Fusarium ear rot Open
Fusarium ear rot (FER), caused by Fusarium verticillioides, results in substantial yield losses and poses a significant threat to maize production worldwide. However, the genetic basis of FER resistance remains poorly understood. Utilizing…
View article: Lane Departure Accident Prevention in Foggy Conditions: A Prior-Guided Dynamic Feature Fusion Transformer Framework for Real-Time Lane Detection
Lane Departure Accident Prevention in Foggy Conditions: A Prior-Guided Dynamic Feature Fusion Transformer Framework for Real-Time Lane Detection Open
Lane departure accident prevention plays a critical role in enhancing road safety, and lane detection is a core technology to achieve this goal, especially under complex weather conditions. While existing lane detection algorithms perform …
View article: ABCDWaveNet: Advancing Robust Road Ponding Detection in Fog through Dynamic Frequency-Spatial Synergy
ABCDWaveNet: Advancing Robust Road Ponding Detection in Fog through Dynamic Frequency-Spatial Synergy Open
Road ponding presents a significant threat to vehicle safety, particularly in adverse fog conditions, where reliable detection remains a persistent challenge for Advanced Driver Assistance Systems (ADAS). To address this, we propose ABCDWa…
View article: Genetic basis of the mucilage secretion ability associated with nitrogen fixation from aerial roots of maize inbred lines under low nitrogen conditions
Genetic basis of the mucilage secretion ability associated with nitrogen fixation from aerial roots of maize inbred lines under low nitrogen conditions Open
Recent studies have shown that mucilage secretion from aerial roots is an essential feature of modern maize inbred lines, with some retaining the nitrogen-fixing capabilities of ancient landraces. To explore the genetic basis of nitrogen f…
View article: Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things
Topology-Driven Attribute Recovery for Attribute Missing Graph Learning in Social Internet of Things Open
With the advancement of information technology, the Social Internet of Things (SIoT) has fostered the integration of physical devices and social networks, deepening the study of complex interaction patterns. Text Attribute Graphs (TAGs) ca…
View article: Cloud-based Energy-Efficient Predictive Cruise Control Accounting for Nonlinear Vehicle Dynamics on Highways
Cloud-based Energy-Efficient Predictive Cruise Control Accounting for Nonlinear Vehicle Dynamics on Highways Open
View article: AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs
AttriReBoost: A Gradient-Free Propagation Optimization Method for Cold Start Mitigation in Attribute Missing Graphs Open
Missing attribute issues are prevalent in the graph learning, leading to biased outcomes in Graph Neural Networks (GNNs). Existing methods that rely on feature propagation are prone to cold start problem, particularly when dealing with att…
View article: Multi-Fleet Cooperative Scheduling for Operations and Battery Swapping in Electrified Open-Pit Mining: A Tailored Discrete Event Simulation-Based Optimization Framework
Multi-Fleet Cooperative Scheduling for Operations and Battery Swapping in Electrified Open-Pit Mining: A Tailored Discrete Event Simulation-Based Optimization Framework Open
View article: Dietary Iron Intake and Mental and Behavioral Disorders Due to Use of Tobacco: A UK Biobank Study
Dietary Iron Intake and Mental and Behavioral Disorders Due to Use of Tobacco: A UK Biobank Study Open
Background: Over 1 billion smokers worldwide, one-third of whom have mental and behavioral disorders, exist. However, factors influencing mental and behavioral disorders due to the use of tobacco remain largely unexplored. This study aims …
View article: TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories
TAS-TsC: A Data-Driven Framework for Estimating Time of Arrival Using Temporal-Attribute-Spatial Tri-space Coordination of Truck Trajectories Open
Accurately estimating time of arrival (ETA) for trucks is crucial for optimizing transportation efficiency in logistics. GPS trajectory data offers valuable information for ETA, but challenges arise due to temporal sparsity, variable seque…
View article: Dietary Iron Intake and Mental and Behavioral Disorders Due to Use of Tobacco: A Cross-Sectional and Longitudinal Study Based on the UK Biobank
Dietary Iron Intake and Mental and Behavioral Disorders Due to Use of Tobacco: A Cross-Sectional and Longitudinal Study Based on the UK Biobank Open
Introduction Over 1 billion smokers worldwide, one-third of whom have mental and behavioral disorders, exist. However, factors influencing mental and behavioral disorders due to use of tobacco remain unexplored. We aim to investigate the r…
View article: Effective Finite Time Stability Control for Human-Machine Shared Vehicle Following System
Effective Finite Time Stability Control for Human-Machine Shared Vehicle Following System Open
With the development of intelligent connected vehicle technology, human-machine shared control has gained popularity in vehicle following due to its effectiveness in driver assistance. However, traditional vehicle following systems struggl…
View article: AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety
AGSENet: A Robust Road Ponding Detection Method for Proactive Traffic Safety Open
Road ponding, a prevalent traffic hazard, poses a serious threat to road safety by causing vehicles to lose control and leading to accidents ranging from minor fender benders to severe collisions. Existing technologies struggle to accurate…
View article: Safedrive dreamer: Navigating safety–critical scenarios in autonomous driving with world models
Safedrive dreamer: Navigating safety–critical scenarios in autonomous driving with world models Open
Achieving stable and reliable autonomous driving in complex traffic environments while ensuring safety under unpredictable conditions is a critical challenge in autonomous driving technology. To address this issue, this study proposes the …
View article: GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoder
GrabDAE: An Innovative Framework for Unsupervised Domain Adaptation Utilizing Grab-Mask and Denoise Auto-Encoder Open
Unsupervised Domain Adaptation (UDA) aims to adapt a model trained on a labeled source domain to an unlabeled target domain by addressing the domain shift. Existing Unsupervised Domain Adaptation (UDA) methods often fall short in fully lev…
View article: BA-Net: Bridge Attention in Deep Neural Networks
BA-Net: Bridge Attention in Deep Neural Networks Open
Attention mechanisms, particularly channel attention, have become highly influential in numerous computer vision tasks. Despite their effectiveness, many existing methods primarily focus on optimizing performance through complex attention …
View article: A hydrophobic and degradable straw based on the ethyl cellulose-coated bacterial cellulose
A hydrophobic and degradable straw based on the ethyl cellulose-coated bacterial cellulose Open
In light of global petrochemical resource depletion and environmental issues stemming from widespread plastic use, disposable straws present complex issues stemming from their extensive usage, non-recyclability in most areas, and incomplet…
View article: DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification
DSDFormer: An Innovative Transformer-Mamba Framework for Robust High-Precision Driver Distraction Identification Open
Driver distraction remains a leading cause of traffic accidents, posing a critical threat to road safety globally. As intelligent transportation systems evolve, accurate and real-time identification of driver distraction has become essenti…
View article: Experimental research on the post-fire semi-rigid behavior of the glulam bolted joints with slotted-in steel plates
Experimental research on the post-fire semi-rigid behavior of the glulam bolted joints with slotted-in steel plates Open
This paper conducted series fire tests without load for glulam bolted joints with slotted-in steel plates, where the effects of fire exposure time, fire-retardant coating, fire exposure side and connecting steel bolts number for specimens …
View article: SCAE: Structural Contrastive Auto-Encoder for Incomplete Multi-View Representation Learning
SCAE: Structural Contrastive Auto-Encoder for Incomplete Multi-View Representation Learning Open
Describing an object from multiple perspectives often leads to incomplete data representation. Consequently, learning consistent representations for missing data from multiple views has emerged as a key focus in the realm of Incomplete Mul…
View article: Adaptive Dual-Channel Event-Triggered Fuzzy Control for Autonomous Underwater Vehicles With Multiple Obstacles Environment
Adaptive Dual-Channel Event-Triggered Fuzzy Control for Autonomous Underwater Vehicles With Multiple Obstacles Environment Open
This article investigates the formation control of autonomous underwater vehicles (AUVs) suffering from unknown sea loads, unmoulded structure, limited communication and multiple static and moving obstacles. Given the challenge, a novel ad…
View article: A Multi-strategy Enhanced Dung Beetle Optimization Algorithm and Its Application in Engineering
A Multi-strategy Enhanced Dung Beetle Optimization Algorithm and Its Application in Engineering Open
This paper introduces a novel multi-strategy enhanced dung beetle optimization (MSDBO) algorithm that is designed to address several issues identified in the standard dung beetle optimization algorithm. Specifically, the MSDBO aims to enha…
View article: Zn-Doped Nano-Cr2o3 Catalyst for Fluorination of Chlorinated Light Olefins
Zn-Doped Nano-Cr2o3 Catalyst for Fluorination of Chlorinated Light Olefins Open
View article: Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles
Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles Open
The Internet of Vehicles(IoV) employs vehicle-to-everything (V2X) technology to establish intricate interconnections among the Internet, the IoT network, and the Vehicle Networks (IVNs), forming a complex vehicle communication network. How…
View article: Multivariate genome-wide association study of depression, cognition, and memory phenotypes and validation analysis identify 12 cross-ethnic variants
Multivariate genome-wide association study of depression, cognition, and memory phenotypes and validation analysis identify 12 cross-ethnic variants Open
View article: A Three-Stage Anomaly Detection Framework for Traffic Videos
A Three-Stage Anomaly Detection Framework for Traffic Videos Open
As reported by the United Nations in 2021, road accidents cause 1.3 million deaths and 50 million injuries worldwide each year. Detecting traffic anomalies timely and taking immediate emergency response and rescue measures are essential to…
View article: Global Bibliometric Developments on Solid Waste Recycling in Concrete Construction Engineering
Global Bibliometric Developments on Solid Waste Recycling in Concrete Construction Engineering Open
The precise and visual analysis of solid waste recycling in concrete construction engineering is critical for the development of ecological civilization and for the secure supply of resources. This research makes a bibliometric analysis of…
View article: BA-Net: Bridge Attention for Deep Convolutional Neural Networks
BA-Net: Bridge Attention for Deep Convolutional Neural Networks Open
In recent years, channel attention mechanism has been widely investigated due to its great potential in improving the performance of deep convolutional neural networks (CNNs) in many vision tasks. However, in most of the existing methods, …
View article: Association of Dietary Vitamin D Intake, Serum 25(OH)D3, 25(OH)D2 with Cognitive Performance in the Elderly
Association of Dietary Vitamin D Intake, Serum 25(OH)D3, 25(OH)D2 with Cognitive Performance in the Elderly Open
Background: As life expectancy increases, cognitive performance decline in the elderly has become one of the major global challenges. We aimed to evaluate the association of dietary vitamin D (VD), serum 25-hydroxyvitamin D3 (25(OH)D3), 25…