標(biāo)題: Titlebook: Big Data and Security; 4th International Co Yuan Tian,Tinghuai Ma,Muhammad Khurram Khan Conference proceedings 2023 The Editor(s) (if appli [打印本頁(yè)] 作者: Insularity 時(shí)間: 2025-3-21 18:49
書(shū)目名稱(chēng)Big Data and Security影響因子(影響力)
書(shū)目名稱(chēng)Big Data and Security影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Big Data and Security網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Big Data and Security網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Big Data and Security被引頻次
書(shū)目名稱(chēng)Big Data and Security被引頻次學(xué)科排名
書(shū)目名稱(chēng)Big Data and Security年度引用
書(shū)目名稱(chēng)Big Data and Security年度引用學(xué)科排名
書(shū)目名稱(chēng)Big Data and Security讀者反饋
書(shū)目名稱(chēng)Big Data and Security讀者反饋學(xué)科排名
作者: 容易做 時(shí)間: 2025-3-21 21:41 作者: septicemia 時(shí)間: 2025-3-22 03:40
978-981-99-3299-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor作者: 招人嫉妒 時(shí)間: 2025-3-22 08:12 作者: organism 時(shí)間: 2025-3-22 12:46 作者: amphibian 時(shí)間: 2025-3-22 16:40 作者: 下邊深陷 時(shí)間: 2025-3-22 17:18
Hardware Description Language: Verilog,he range of the power grid is a huge challenge faced by the day-ahead dispatch of power system. Aiming at this problem, this paper proposes a method for generating day-ahead scenarios for renewable energy based on historical data analysis. First, the deep embedding clustering (DEC) algorithm is used作者: 不朽中國(guó) 時(shí)間: 2025-3-23 00:27
Hardware Description Language: Verilog,risks and improving investment returns. Existing research mainly focuses on mid or low-frequency stock price prediction, which is challenging to apply to intraday high-frequency trading scenarios. Meanwhile, the model accuracy face limitation due to the neglect of the influence of random noise and t作者: Coterminous 時(shí)間: 2025-3-23 05:11 作者: surrogate 時(shí)間: 2025-3-23 07:27
Introduction to Embedded Systemsnticity and security. If network data is not effectively supervised, unexpected events such as data loss, leakage or tampering will occur, resulting in network data threats and risks that cannot be traced and responded to. The traditional data tracing methods are found difficult to meet the processi作者: 預(yù)兆好 時(shí)間: 2025-3-23 11:44
Introduction to Embedded Systemsf affected by the external environment and time, which cannot effectively support the unified coding and full life management of the equipment. A cable fault positioning algorithm based on big data is designed, which combines the positioning algorithm of uhf UHF RFID electronic label with the positi作者: Ankylo- 時(shí)間: 2025-3-23 17:13 作者: 桉樹(shù) 時(shí)間: 2025-3-23 18:09
Introduction to Embedded Systems integrity and driving comfort, this study relied on big data stored in the PMS of Jiangsu Province to analyze the development law and influencing factors of transverse cracks in semi-rigid base asphalt pavement. Two index types, node index and development index, were proposed, and the evaluation re作者: 熔巖 時(shí)間: 2025-3-24 01:11 作者: Jargon 時(shí)間: 2025-3-24 02:21
Introduction to Empirical Processes when dealing with the massive amount information in the age of big data and artificial intelligence. This paper presents an overview of the state-of-art RS that can be classified into four categories: content-based algorithms (CR), collaborative filtering-based algorithms (CF), and knowledge-based 作者: PALMY 時(shí)間: 2025-3-24 09:03
An Overview of Empirical Processestant in assessing trust, which is fundamental if one plans to take action based on leaning results, or when choosing whether to deploy a new model. Lack of insights into the model can be an obstacle that hinders the development and application of the DNN. AdaBoost is a well-known boosting learning t作者: 陶瓷 時(shí)間: 2025-3-24 12:40
Overview of Semiparametric Inferencegorithm of on-load tap changers based on IPSO-LSSVM. Firstly, the time-frequency signal extracted from the vibration signal and the improved scale permutation entropy form a multi-feature fusion matrix; Then, considering the redundancy and high computational complexity of the multi-dimensional featu作者: Tincture 時(shí)間: 2025-3-24 16:18
https://doi.org/10.1007/978-0-387-74978-5ovide references for the evaluation and development of research teams. Scientific collaboration networks in the Top 20 institutions were evaluated using papers published in the past 6?years on computer image recognition in the field of artificial intelligence. The structural features of 3–5 node gra作者: BUST 時(shí)間: 2025-3-24 20:20
Semiparametric Models and Efficiencys, such as the South China Sea Sovereign Evidence Chain Project. Due to the data sparsity, a large number of isolated data are generated, which seriously affects the analysis effect of the South China Sea Big Data. In this paper, we proposed a novel data association method. We collected data from th作者: 翅膀拍動(dòng) 時(shí)間: 2025-3-25 00:26
An Overview of Empirical Processese of the core technologies of knowledge engineering in the era of big data. With the ability of deep knowledge reasoning and progressively expanding cognition, knowledge graph has become a key technology for the construction and application in the field of military big data. Most of the existing kno作者: 沒(méi)有希望 時(shí)間: 2025-3-25 05:09
Big Data and Security978-981-99-3300-6Series ISSN 1865-0929 Series E-ISSN 1865-0937 作者: Junction 時(shí)間: 2025-3-25 10:09
Hardware Description Language: Verilog,bnormal energy consumption detection and research of enterprises are realized. The example uses the real energy consumption data of power grid enterprises, and the simulation results show the effectiveness of the proposed method.作者: BANAL 時(shí)間: 2025-3-25 11:45
Hardware Description Language: Verilog,nality reduction data, so as to realize the accurate perception of the adjustment effect of the unit execution command. Finally, the real power grid data is used to simulate and verify the proposed method. The results show that the model can effectively reduce the deviation of instruction execution.作者: 得罪 時(shí)間: 2025-3-25 17:05
https://doi.org/10.1007/978-1-84882-016-6taic power stations is established and solved by improved particle swarm optimization algorithm. The simulation results show that this method can improve the filling accuracy of the missing value of the day-ahead dispatching historical data of the power system, and meet the development demand of the power system with new energy.作者: Harpoon 時(shí)間: 2025-3-25 22:51
Introduction to Embedded Systemsexplored. By analyzing the data tracing model and its implementation, a data watermark tracing system in Hadoop environment is established and the tracing process is examined. The experiments are designed and the efficiency of the proposed system is validated.作者: 痛苦一生 時(shí)間: 2025-3-26 02:32
Introduction to Embedded Systemsnic tags are introduced in the original algorithm. The simulation of the algorithm is analyzed, and the simulation results prove that the present algorithm can solve the problem better than the original one. The algorithm can effectively locate the cable fault, and has certain engineering and theoretical value.作者: apropos 時(shí)間: 2025-3-26 06:35
https://doi.org/10.1007/978-0-387-74978-5raphlet correlation measures could be used to distinguish the similarities and differences of scientific research teams. The data can be used to investigate collaboration efficiency and develop and expand research teams.作者: 離開(kāi)就切除 時(shí)間: 2025-3-26 09:23
An Overview of Empirical Processeseds for military archive fields, explores the construction path of knowledge graph from the aspects of knowledge modeling, knowledge extraction, knowledge fusion and knowledge management. At the same time, the application of knowledge retrieval, archive resource linking, knowledge Q & A, knowledge recommendation and other scenarios are explored.作者: Patrimony 時(shí)間: 2025-3-26 15:20 作者: –吃 時(shí)間: 2025-3-26 19:14 作者: 背心 時(shí)間: 2025-3-26 23:58 作者: 豐滿有漂亮 時(shí)間: 2025-3-27 03:52
Research on Data Watermark Tracing System in Hadoop Environmentexplored. By analyzing the data tracing model and its implementation, a data watermark tracing system in Hadoop environment is established and the tracing process is examined. The experiments are designed and the efficiency of the proposed system is validated.作者: uveitis 時(shí)間: 2025-3-27 06:04
Application of RFID Tag in the Localization of Power Cable Based on Big Datanic tags are introduced in the original algorithm. The simulation of the algorithm is analyzed, and the simulation results prove that the present algorithm can solve the problem better than the original one. The algorithm can effectively locate the cable fault, and has certain engineering and theoretical value.作者: Parley 時(shí)間: 2025-3-27 09:34 作者: 角斗士 時(shí)間: 2025-3-27 14:54 作者: Tracheotomy 時(shí)間: 2025-3-27 20:29
1865-0929 na, during?December 8–12, 2022..The 51 full papers and 3 short papers included in this book were carefully reviewed and?selected from 211 submissions. They were organized in topical sections as follows: answer?set programming; big data and new method; intelligence and machine learning security; data作者: GOAT 時(shí)間: 2025-3-27 22:34
Hardware Description Language: Verilog,versarial network (C-DCGAN) model generates a day-ahead scenario set for renewable energy. At last, the Belgian Elia renewable energy data is used for simulation analysis, and the results show that the proposed method can accurately describe the uncertainty of renewable energy.作者: Generic-Drug 時(shí)間: 2025-3-28 02:26
Day-Ahead Scenario Generation Method for Renewable Energy Based on Historical Data Analysisversarial network (C-DCGAN) model generates a day-ahead scenario set for renewable energy. At last, the Belgian Elia renewable energy data is used for simulation analysis, and the results show that the proposed method can accurately describe the uncertainty of renewable energy.作者: 在駕駛 時(shí)間: 2025-3-28 06:40 作者: PAN 時(shí)間: 2025-3-28 12:01 作者: 芳香一點(diǎn) 時(shí)間: 2025-3-28 18:03
Overview of Semiparametric Inferencere matrix, the principal component analysis is used to screen the feature subset and obtain the sensitive feature subset; Finally, IPSO-LSSVM is used to select and classify the initial feature subset. Experimental results show that the classification accuracy of IPSO-LSSVM is improved by at least 5% compared with other methods.作者: prostatitis 時(shí)間: 2025-3-28 22:44
Feature Fusion Basedre matrix, the principal component analysis is used to screen the feature subset and obtain the sensitive feature subset; Finally, IPSO-LSSVM is used to select and classify the initial feature subset. Experimental results show that the classification accuracy of IPSO-LSSVM is improved by at least 5% compared with other methods.作者: MONY 時(shí)間: 2025-3-29 02:25
Conference proceedings 2023?December 8–12, 2022..The 51 full papers and 3 short papers included in this book were carefully reviewed and?selected from 211 submissions. They were organized in topical sections as follows: answer?set programming; big data and new method; intelligence and machine learning security; data technolog作者: 天真 時(shí)間: 2025-3-29 04:24
Hardware Description Language: Verilog,den in the stock price series by using multiple convolution kernels. Furthermore, the gated recurrent unit is used to process time-sequential data and to predict the stock prices at the minute level. The experimental result indicates that the proposed high-frequency stock price prediction method can作者: Generalize 時(shí)間: 2025-3-29 08:10 作者: 背叛者 時(shí)間: 2025-3-29 14:07
Introduction to Embedded Systemsots of VPP and the evolution trajectory of research hotspots, and the conclusion obtained is more reasonable and realistic significance. Through the map, the main technological research directions of VPP were controllable load, distributed energy resource, communication and energy storage. It aims t作者: 統(tǒng)治人類(lèi) 時(shí)間: 2025-3-29 18:31
Introduction to Embedded Systemsructed by the significant influencing factors and the composite fracture energy representing the overall crack resistance level of the asphalt layer. The results of this study show that 85% of the road sections cracked for the first time within 3–9?years of opening to traffic. The first 5?years afte作者: 惰性氣體 時(shí)間: 2025-3-29 23:43
Introduction to Empirical Processesergy industry financing ecosystem has entered the growth stage, but it has not yet achieved efficient collaborative evolutionary development. By reshaping the new energy industry financing ecosystem with big data as the core resource, constructing a big channel of data exchange for the new energy in作者: Myocarditis 時(shí)間: 2025-3-30 03:13
Introduction to Empirical Processesons that would improve recommendation capabilities involving deep learning, knowledge graphs, and parallel computing techniques are significantly discussed for future RS research direction. At the same time, by identifying current problems, some possible solutions will be shown in the last part.作者: 頌揚(yáng)國(guó)家 時(shí)間: 2025-3-30 06:34 作者: 泥土謙卑 時(shí)間: 2025-3-30 12:06 作者: Conserve 時(shí)間: 2025-3-30 15:59 作者: Brochure 時(shí)間: 2025-3-30 18:22 作者: Negligible 時(shí)間: 2025-3-30 23:28
Research Hotspots and Evolution Trend of Virtual Power Plant in China: An Empirical Analysis Based oots of VPP and the evolution trajectory of research hotspots, and the conclusion obtained is more reasonable and realistic significance. Through the map, the main technological research directions of VPP were controllable load, distributed energy resource, communication and energy storage. It aims t作者: Collision 時(shí)間: 2025-3-31 04:54 作者: 陶瓷 時(shí)間: 2025-3-31 05:52
Research on the Evolution of New Energy Industry Financing Ecosystem Under the Background of Big Datergy industry financing ecosystem has entered the growth stage, but it has not yet achieved efficient collaborative evolutionary development. By reshaping the new energy industry financing ecosystem with big data as the core resource, constructing a big channel of data exchange for the new energy in作者: auxiliary 時(shí)間: 2025-3-31 12:07 作者: 生氣的邊緣 時(shí)間: 2025-3-31 17:25
An Innovative AdaBoost Process Using Flexible Soft Labels on Imbalanced Big Data novel and sequential way, adding further interpretability and adaptability to the learning process. Experimental results on several well-known datasets have validated the effectiveness and novelty of FSL AdaBoost.作者: 脆弱帶來(lái) 時(shí)間: 2025-3-31 21:02
Logical Relationship Extraction of Multimodal South China Sea Big Data Using BERT and Knowledge Graplabel the logical relationship. Secondly, we used the BERT pre-training model to extract the logical relationship of evidence data. Finally, the Knowledge Graph technology is used to retrieve and visualize the logical relationship of evidence data. In this paper, we applied the BERT to extract the l作者: 豐滿有漂亮 時(shí)間: 2025-3-31 23:29 作者: Eeg332 時(shí)間: 2025-4-1 05:34
Research on Data-Driven AGC Instruction Execution Effect Recognition Methodtional thermal power units on the operation of the power grid is gradually increasing. Aiming at the problem of the deviation between the actual output of thermal power units and the AGC command of the power grid, this paper proposes a data-driven AGC command execution effect identification method.
