Hubei University of Automotive Technology

A Novel Approach to Vibro-Acoustic Fault Diagnosis Using Intrinsic Multidimensional Gnome Entropy Analysis and a Convolutional Neural Network

Due to the complex practical working conditions, fault diagnosis is very challenging in rotary machinery. Rotary machinery is often used in places with a high temperature, strong corrosion, or where acceleration sensors are hard to install. Thus, acoustical signal processing beco...

Graph-Interaction-Prediction-Based Planning of Safe Flight Intervals and Dynamic 3D Paths for UAVs

To address the challenge of directly translating predicted distributions of dynamic obstacles into three-dimensional (3D) planning constraints during unmanned aerial vehicle (UAV) flight, we propose Torch GIP-RB-SI-3DA*, a graph-interaction-prediction-based method for planning sa...

Velocity adaptive preview path tracking control for autonomous vehicles using deep reinforcement learning with Lyapunov function-based reward shaping

Traditional rule-based path tracking controllers of autonomous vehicles (AVs) often struggle with nonlinear vehicle dynamics, parameter tuning, and changes in road conditions. Learning-based methods partly address these issues, but remain limited in adapting to velocity changes,...

Research on Semi-Active Suspension Attitude Control for Commercial Vehicle Cab Under Braking and Steering Conditions

During transient maneuvers such as emergency braking and steering, the cab attitude of a commercial vehicle may change abruptly, thereby posing a potential risk to driving safety. To address this issue, this study investigates a cab attitude control method for a specific commerci...

Mamba-BiSAMNet: An ECG denoising network for multi-type noise removal

Electrocardiogram (ECG) signals are often corrupted by various types of noise, including baseline wander, muscle artifacts, and electrode motion, which can obscure waveform details relevant to clinical interpretation. These complex, time-varying interferences motivate adaptive de...

Strategic Imitation or Rational Learning? Peer Effects on R&D Innovation in Chinese New Energy Vehicle Enterprises

The global new energy vehicle (NEV) industry is undergoing accelerated technological iteration, forcing firms to confront uncertain technological trajectories, high R&D investment, and intensified innovation risks. Acquiring external knowledge to reduce trial-and-error costs has...

Experimental study on tire rolling resistance under complex conditions with temperature, wear, camber, and sideslip angle impacts

Tire rolling resistance is a critical factor influencing vehicle fuel economy and the driving range of electric vehicles. Multiple independent influencing factors affect tire rolling resistance, making it difficult to analytically predict rolling resistance variations under vario...

Lattice-data-driven specific heat and isentropic bulk modulus of SU(3) gluon matter at finite temperature

Abstract We investigate the specific heat and isentropic bulk modulus of finite-temperature pure SU(3) gauge matter within a lattice-data-driven phenomenological framework. The equation of state is formulated in terms of a temperature-dependent effective gluon mass constrained by...

Driver state detection and recognition in conditional automated driving: A review

SAE Level 3 automated driving systems assume full control of the dynamic driving task within their operational design domain. Ensuring a safe and timely transition from automated to manual driving therefore necessitates continuous monitoring and assessment of driver state. This r...

Fuzzy Adaptive PSO-LQR Lateral Stability Control for Distributed Electric-Drive Articulated Vehicles Against Snaking Instability

This paper addresses the snaking instability of distributed electric-drive articulated vehicles under different speed conditions. A 7-DOF nonlinear vehicle model is established, and separate ideal reference models are constructed for the front and rear bodies. The particle swarm...

Environmental Regulatory Pressure and Supply Chain Resilience: Evidence from Chinese Listed Manufacturing Firms

Manufacturing firms face tightening environmental requirements while seeking to maintain supply continuity under disruption. This study examines whether environmental regulatory pressure (ER) is associated with supply chain resilience (SCR) and whether informational, relational,...

Multiscale physicochemical evolution of mined coal links structure transport and reaction kinetics during thermochemical conversion

Global reliance on coal for energy generation and chemical production necessitates physics-based frameworks that move beyond empirical bulk characterization toward predictive and sustainable utilization strategies. Coal is a heterogeneous, reactive porous medium whose structure,...

Intelligence vs execution: decoupling AI and automation's divergent roles in Ghana's post-COVID economic recovery

Purpose This study decouples artificial intelligence (AI) from automation to examine their distinct yet interrelated roles in stabilizing Ghana's healthcare, manufacturing and banking and finance sectors following COVID-19. Rather than treating the two concepts interchangeably, t...

Programmable multifunctional microrobots for synergistic cuproptosis-immunotherapy

Abstract Oral microrobots as drug carriers have shown great promise in enhancing the therapeutic efficacy of colorectal cancer (CRC). However, existing platforms frequently lack the programmable temporal precision required to execute complex, multi-stage dosing regimens. Here, we...