Anhui Business College

Automated evaluation of basketball skills using multimodal data fusion for improving shooting training efficiency

Reliable basketball shooting assessment requires integration of complementary movement signals and actionable feedback. This study developed the multimodal shooting evaluation and efficiency model (MSEEM) and evaluated it in 156 players assigned to MSEEM feedback or standard coac...

A Driving Skill Evaluation Framework Based on Vehicle-State Deviations from Condition-Matched Model Responses

Objective and interpretable driving skill evaluation is important for vehicle-motion assessment, automated-driving-system evaluation, and driver monitoring. Existing approaches based on subjective ratings, fixed thresholds, or directly scored vehicle states can mix control–respon...

Conceptual Interpretation and Practical Teaching Design of Ideal Work and Lost Work: Comments on Chemical Engineering Thermodynamics Textbooks

Abstract Ideal work and lost work are key contents connecting the second law of thermodynamics and engineering practice, and they pose major teaching challenges in chemical engineering thermodynamics courses. Mainstream textbooks widely use a two-step model including adiabatic re...

Big data-driven pavement condition monitoring and anomaly detection using multi-sensor time series

Pavement condition monitoring is essential for road maintenance, but many practical inspection systems still rely on periodic surveys or manual visual checking. Such schemes are difficult to capture short-term pavement changes caused by traffic load, local damage, or environmenta...

Time varying topology adaptation for internet of vehicles task offloading

The rapid growth of in-vehicle applications has driven the adoption of edge computing in the Internet of Vehicles, enabling resource-constrained vehicles to offload tasks for efficient execution. However, this optimization is challenging due to dynamic network conditions and the...