- Novel methods or tools used in big data and its applications.- Quantitative Analysis of the Factors Influencing Macao's Tourism Industry: A Gray Correlation Approach.- Multi-AUV Hunting Strategy Based on the Lions Group Algorithm.- Study on the Coupled and Coordinated Relationships between Social Security and Economic and Social Development in Macao.- A Segmentation Network for Coastal Cegetation Guided by Category-Wighted Information from UAV Perspective Based on SAM.- GAN-Based Defogging and Multiscale Fusion Approach for UAV-Based Seagrass Bed Imagery Semantic segmentation in challenging marine environments.- SEBWatcher: Visual Analysis System for Subject, Environment and Behavior in Traffic Scenes.- Research on the Promotion and Enhancement Paths of Hainan Wenbifeng Pangu Cultural Tourist Areas Based on Network Text Analysis.

- Based on Network Text Analysis: A Study on the Promotion Strategy of a Boundary Island for Lingshui Tourism Experience.- Deep Reinforcement Learning Based on Greed for the Critical Cross section Identification Problem.- Intrusion Detection Based on Feature Selection and Transformer BiGRU.- Discussion on the construction of power 3D design platform for nested virtualized hybrid cloud.- Applications of Data Science.- Application of Deep Learning Models Based on Chaos Modeling in Power Internet of Things Forecasting Tasks.- Study on compatibility of vegetable insulating oils and mineral insulating oils for transformer based on molecular simulation methods.- Collaborative optimization scheduling model for clean energy in microgrid clusters.

- A Distributed Multi-Microgrid Intelligent Scheduling for New Power System.- Development and Application of Intelligent Calculation Analysis Platform For Large Power Grid.- A Deep Reinforcement Learning Control Strategy with Integrated Droop Control for Parallel DC-DC Buck Converters with CPLs.- MST: A Comprehensive Approach for Short-Term Power Load Forecasting Based on Data Decomposition, Local and Global Modeling.- An Approach to Identification Model for Electric Event Based on Clustering Analysis.- Research on Prediction Models and Optimization Methods for Electrical Current Consumption of Users.- Re-GNN: ANewModelforPredicting Circuit Reliability Degradation.- TRANSFORMER OIL TEMPERATURE PREDICTION METHOD BASED ON CAUSAL DISCOVERY AND GNN-LSTM MODEL.

- The Electronic Power Data Traceability Model Based on Hybrid Consensus and IPFS.- Research on complementation of new energy spot and medium to long-term transactions based on blockchain· .- Knowledge-driven Calculating Method for Transmission Section Limit of Large Power Grid.