Multi‐Agent Reinforcement Learning Applied in Transactive Energy Mechanism
The study proposes a new TEM framework using RL for profit maximization. SAC algorithm's effectiveness is demonstrated for both single-agent…
Artificial Intelligence in Process Safety: Cautionary Observations
AI's role in process safety management is complex and evolving. Current AI capabilities show significant errors in safety applications. Effective…
DeepAGS Model Enhances Prediction of Public Transport Trip Destinations
DeepAGS integrates activity, geography, and sequential data for trip prediction. Outperforms current models in accuracy using real-world smartcard data. Potential…
New Dataset ParaGPT Enhances Paraphrase Generation Research
ParaGPT is a new dataset for paraphrase generation with 81,000 sentence pairs. ChatGPT's performance excels in semantic similarity, with notable…
Innovative Hierarchical and Sequential Transformer for Enhanced Image Captioning
The HIST model focuses on capturing multi-granularity image information. Sequential enhancement modules improve the extraction of sequential semantics. HIST outperforms…
Integrating AI and Robotics in Engineering Education Through Project-Based Learning
Project-based learning integrates AI and robotics in engineering education. Low-cost robotic arm prototype designed using IoT and 3D printing. MATLAB…
The Underlying Potential of NLP for Microcontroller Programming Education
Microcontroller programming is crucial for engineering students. NLP tools like ChatGPT can aid in code generation and concept explanation. Further…
Artificial Intelligence in Energy Systems: Current Innovations and Future Directions
AI technologies can enhance energy consumption predictions and grid operations. Challenges include efficiency, interpretability, and robustness in AI applications. Future…
Machine Learning-Enhanced Imaging Reveals Atomic Arrangements in Medium-Entropy Alloys
Machine learning enhances atom probe tomography resolution for CoCrNi alloys. 3D quantitative analysis reveals multiple CSRO configurations. Findings assist in…
Universal Domain Adaptation for Rotating Machinery Fault Diagnosis
The novel model enhances feature extraction using multi-scale learning. An entropy optimization strategy aids in clustering without prior knowledge. Validations…
