Engineering Changsha Hunan

, , , , , and . 2026. “Object-Enhanced Loop Closing With Semantic Topological Graphs.” Journal of Field Robotics0: 1–19. https://doi.org/10.1002/rob.70280. Data Availability Statement The data that support the findings of this study are available from the corresponding author upon reasonable request. References 2023. “Estimation of Short-Term Power of Wind Turbines Using Artificial Neural Network (ANN) and Swarm Intelligence.” Sustainability 15: 13572. , , , , and . 2025.

Z.Liu, M.Cheng, D.Huang, et al. “Molten Salt Assisted Carbon Nitride Overcomes Inherent Photocatalytic Limitations: Unique Characteristics for High-Efficiency Light-Driven Energy Production.” Small (2026): e73985. https://doi.org/10.1002/smll.73985 Conflicts of Interest The authors declare no conflicts of interest. Data Availability Statement No primary research results, software or code have been included and no new data were generated or analyzed as part of this review.

1 Introduction In recent years, the rapid advancement of deep neural networks has significantly increased the computational complexity of deep learning models, resulting in a substantial rise in the demand for computational resources. However, the diversity of models and the complexity of hardware platforms make manual optimization both labor-intensive and challenging.