C. L. Philip Chen
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View article: Research on Control Strategy of Lower Limb Exoskeleton Robots: A Review
Research on Control Strategy of Lower Limb Exoskeleton Robots: A Review Open
With an aging population and the high incidence of neurological diseases, rehabilitative lower limb exoskeleton robots, as a wearable assistance device, present important application prospects in gait training and human function recovery. …
View article: A Non-Contact Electrostatic Potential Sensor Based on Cantilever Micro-Vibration for Surface Potential Measurement of Insulating Components
A Non-Contact Electrostatic Potential Sensor Based on Cantilever Micro-Vibration for Surface Potential Measurement of Insulating Components Open
With the rapid development of high-voltage DC (HVDC) power systems, accurate measurement of surface electrostatic potential on insulating components has become critical for electric field assessment and insulation reliability. This paper p…
View article: Maternal psychological distress on delayed onset of lactation II: A meta-analysis
Maternal psychological distress on delayed onset of lactation II: A meta-analysis Open
Background: Existing studies suggest a potential association between maternal psychological distress and delayed onset of lactation II (DOLII), but the evidence remains inconclusive. Methods: A systematic literature search was conducted in…
View article: Pathogenesis-Guided Nanozymes: From Design to Therapy for Gastrointestinal Inflammation
Pathogenesis-Guided Nanozymes: From Design to Therapy for Gastrointestinal Inflammation Open
Gastrointestinal inflammatory diseases have a significant impact on human health and quality of life, underscoring the urgent need to develop novel treatment strategies. As emerging biomaterials, nanozymes combine the advantages of nanomat…
View article: Dynamic Neural‐Model‐Based Predictive Control for Autonomous Wheel‐Legged Robot System
Dynamic Neural‐Model‐Based Predictive Control for Autonomous Wheel‐Legged Robot System Open
Mobile wheel‐legged robots exhibiting mobility, stability and reliability have garnered heightened research attention in demanding real‐world scenarios, especially in material transport, emergency response and space exploration. The kinema…
View article: Position Spoofing Attacks on Unmanned Surface Vehicles
Position Spoofing Attacks on Unmanned Surface Vehicles Open
Unmanned surface vehicles (USVs) are equipped with numerous sensors, and data is transmitted through networks. Attackers may remotely compromise unmanned surface vehicle (USV) systems and commit criminal acts via networks, causing USVs to …
View article: PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting
PromptEnhancer: A Simple Approach to Enhance Text-to-Image Models via Chain-of-Thought Prompt Rewriting Open
Recent advancements in text-to-image (T2I) diffusion models have demonstrated remarkable capabilities in generating high-fidelity images. However, these models often struggle to faithfully render complex user prompts, particularly in aspec…
View article: Research progress of multimodal biomarkers in the early diagnosis of mild cognitive impairment in Parkinson’s disease
Research progress of multimodal biomarkers in the early diagnosis of mild cognitive impairment in Parkinson’s disease Open
Parkinson’s disease (PD), as a common neurodegenerative disorder, its associated mild cognitive impairment (PD-mild cognitive impairment, PD-MCI) is a key prodromal stage in the progression to PD-dementia (PDD). Cognitive dysfunction serio…
View article: Optimization of Schedule Management for Small Municipal Engineering Projects
Optimization of Schedule Management for Small Municipal Engineering Projects Open
Small municipal projects, constrained by resources and extensive management models, commonly face issues of delayed progress and cost overruns. This study uses a road renovation project in a city as an empirical case. By integrating BIM co…
View article: LLM4Rail: An LLM-Augmented Railway Service Consulting Platform
LLM4Rail: An LLM-Augmented Railway Service Consulting Platform Open
Large language models (LLMs) have significantly reshaped different walks of business. To meet the increasing demands for individualized railway service, we develop LLM4Rail - a novel LLM-augmented railway service consulting platform. Empow…
View article: A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security
A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security Open
The rapid integration of complex sensors and electronic control units (ECUs) in autonomous vehicles significantly increases cybersecurity risks in vehicular networks. Although the Controller Area Network (CAN) is efficient, it lacks inhere…
View article: DocShaDiffusion: Diffusion Model in Latent Space for Document Image Shadow Removal
DocShaDiffusion: Diffusion Model in Latent Space for Document Image Shadow Removal Open
Document shadow removal is a crucial task in the field of document image enhancement. However, existing methods tend to remove shadows with constant color background and ignore color shadows. In this paper, we first design a diffusion mode…
View article: Computational Measures of Gaze Behavior Using the Concept of Situational Awareness
Computational Measures of Gaze Behavior Using the Concept of Situational Awareness Open
Eye gaze is fundamental to common sensorimotor activities. It directly indicates attention and its allocation, making it a critical human factor that reflects cognitive behavior. Data-driven measurements of gaze behavior quantitatively eva…
View article: Characterizing High-order Interactions between Eye Movement and Head Motion Variables in Augmented Reality-based Navigation Experience
Characterizing High-order Interactions between Eye Movement and Head Motion Variables in Augmented Reality-based Navigation Experience Open
The coordination of eye and head in visual scanning is a fundamental behavior of humans in everyday sensorimotor activities such as walking and navigation. Deep understanding of the spatiotemporal dynamics of this coordination behavior und…
View article: An air combat maneuver decision-making approach using coupled reward in deep reinforcement learning
An air combat maneuver decision-making approach using coupled reward in deep reinforcement learning Open
In the domain of unmanned air combat, achieving efficient autonomous maneuvering decisions presents challenges. Deep Reinforcement learning(DRL) is one of the approaches to tackle this problem. The final performance of the DRL algorithm is…
View article: Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning
Diverse Models, United Goal: A Comprehensive Survey of Ensemble Learning Open
Ensemble learning, a pivotal branch of machine learning, amalgamates multiple base models to enhance the overarching performance of predictive models, capitalising on the diversity and collective wisdom of the ensemble to surpass individua…
View article: FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning
FedFACT: A Provable Framework for Controllable Group-Fairness Calibration in Federated Learning Open
With the emerging application of Federated Learning (FL) in decision-making scenarios, it is imperative to regulate model fairness to prevent disparities across sensitive groups (e.g., female, male). Current research predominantly focuses …
View article: Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model Open
Intelligent game creation represents a transformative advancement in game development, utilizing generative artificial intelligence to dynamically generate and enhance game content. Despite notable progress in generative models, the compre…
View article: Integrating Smart Rocks, UAV-Based Sensing, and Large-Scale Field Experiments for Bedload Transport Analysis in River Systems
Integrating Smart Rocks, UAV-Based Sensing, and Large-Scale Field Experiments for Bedload Transport Analysis in River Systems Open
Bedload transport is vital for river dynamics but difficult to measure directly. To address this, we conducted a large-scale field experiment at Landaoxi in the HueiShui Forest Station, featuring a 25-meter-long, 2-meter-wide channel with …
View article: Efficient and secure transmission method for image data in the petroleum industry
Efficient and secure transmission method for image data in the petroleum industry Open
To address the challenge of efficient and secure transmission of big data in the petroleum industry, this study converts images into three-channel matrix data and performs singular value decomposition (SVD) on these matrices. The method co…
View article: Reliable Multimodal Learning Via Multi-Level Adaptive DeConfusion
Reliable Multimodal Learning Via Multi-Level Adaptive DeConfusion Open
Multimodal learning enhances the performance of various machine learning tasks by leveraging complementary information across different modalities. However, existing methods often learn multimodal representations that retain substantial in…
View article: A Transformer-Based Detection Network for Precision Cistanche Pest and Disease Management in Smart Agriculture
A Transformer-Based Detection Network for Precision Cistanche Pest and Disease Management in Smart Agriculture Open
This study focuses on pest and disease detection in cistanche, proposing a Transformer-based object detection network enhanced by a bridging attention mechanism and bridging loss function, demonstrating outstanding performance in complex a…