{"title":"DQMMBSC:通过混合生物启发区块链碎片和上下文共识,设计用于 IIoT 中采矿优化的增强型深度 Q-learning 模型","authors":"M. Gedam, S. Karmore","doi":"10.1007/s41060-024-00600-2","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":510172,"journal":{"name":"International Journal of Data Science and Analytics","volume":"65 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DQMMBSC: design of an augmented deep Q-learning model for mining optimisation in IIoT via hybrid-bioinspired blockchain shards and contextual consensus\",\"authors\":\"M. Gedam, S. Karmore\",\"doi\":\"10.1007/s41060-024-00600-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":510172,\"journal\":{\"name\":\"International Journal of Data Science and Analytics\",\"volume\":\"65 12\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Data Science and Analytics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s41060-024-00600-2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Data Science and Analytics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s41060-024-00600-2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
DQMMBSC: design of an augmented deep Q-learning model for mining optimisation in IIoT via hybrid-bioinspired blockchain shards and contextual consensus