| 000 | 06403nam a22006495i 4500 | ||
|---|---|---|---|
| 001 | 978-981-97-8743-2 | ||
| 003 | DE-He213 | ||
| 005 | 20251030113254.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 241031s2024 si | s |||| 0|eng d | ||
| 020 |
_a9789819787432 _9978-981-97-8743-2 |
||
| 024 | 7 |
_a10.1007/978-981-97-8743-2 _2doi |
|
| 050 | 4 | _aQA76.9.D343 | |
| 072 | 7 |
_aUNF _2bicssc |
|
| 072 | 7 |
_aUYQE _2bicssc |
|
| 072 | 7 |
_aCOM021030 _2bisacsh |
|
| 072 | 7 |
_aUNF _2thema |
|
| 072 | 7 |
_aUYQE _2thema |
|
| 245 | 1 | 0 |
_aData Science _h[electronic resource] : _b10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, Macao, China, September 27–30, 2024, Proceedings, Part I / _cedited by Chengzhong Xu, Haiwei Pan, Chen Yu, Jianping Wang, Qilong Han, Xianhua Song, Zeguang Lu. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
|
| 300 |
_aXXV, 327 p. 178 illus., 138 illus. in color. _bonline resource. |
||
| 336 |
_atext _btxt _2rdacontent |
||
| 337 |
_acomputer _bc _2rdamedia |
||
| 338 |
_aonline resource _bcr _2rdacarrier |
||
| 347 |
_atext file _bPDF _2rda |
||
| 490 | 1 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v2213 |
|
| 505 | 0 | _a -- 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. | |
| 520 | _aThis three-volume set CCIS 2213-2215 constitutes the refereed proceedings of the 10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024, held in Macau, China, during September 27–30, 2024. The 74 full papers and 3 short papers presented in these three volumes were carefully reviewed and selected from 249 submissions. The papers are organized in the following topical sections: Part I: Novel methods or tools used in big data and its applications; applications of data science. Part II: Education research, methods and materials for data science and engine; data security and privacy; big data mining and knowledge management. Part III: Infrastructure for data science; social media and recommendation system; multimedia data management and analysis. | ||
| 650 | 0 |
_aData mining. _96941 |
|
| 650 | 0 | _aApplication software. | |
| 650 | 0 |
_aMachine learning. _955059 |
|
| 650 | 0 |
_aEducation _xData processing. |
|
| 650 | 1 | 4 | _aData Mining and Knowledge Discovery. |
| 650 | 2 | 4 | _aComputer and Information Systems Applications. |
| 650 | 2 | 4 |
_aMachine Learning. _955059 |
| 650 | 2 | 4 | _aComputers and Education. |
| 700 | 1 |
_aXu, Chengzhong. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _986904 |
|
| 700 | 1 |
_aPan, Haiwei. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _986905 |
|
| 700 | 1 |
_aYu, Chen. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
| 700 | 1 |
_aWang, Jianping. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _982540 |
|
| 700 | 1 |
_aHan, Qilong. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _986906 |
|
| 700 | 1 |
_aSong, Xianhua. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _968192 |
|
| 700 | 1 |
_aLu, Zeguang. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _968193 |
|
| 710 | 2 | _aSpringerLink (Online service) | |
| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819787425 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819787449 |
| 830 | 0 |
_aCommunications in Computer and Information Science, _x1865-0937 ; _v2213 _966508 |
|
| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-97-8743-2 |
| 912 | _aZDB-2-SMA | ||
| 912 | _aZDB-2-SXMS | ||
| 999 |
_c64650 _d64650 |
||