標題: Titlebook: Big Data in Engineering Applications; Sanjiban Sekhar Roy,Pijush Samui,Stavros Ntalampir Book 2018 Springer Nature Singapore Pte Ltd. 2018 [打印本頁] 作者: concession 時間: 2025-3-21 19:36
書目名稱Big Data in Engineering Applications影響因子(影響力)
書目名稱Big Data in Engineering Applications影響因子(影響力)學科排名
書目名稱Big Data in Engineering Applications網(wǎng)絡公開度
書目名稱Big Data in Engineering Applications網(wǎng)絡公開度學科排名
書目名稱Big Data in Engineering Applications被引頻次
書目名稱Big Data in Engineering Applications被引頻次學科排名
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書目名稱Big Data in Engineering Applications年度引用學科排名
書目名稱Big Data in Engineering Applications讀者反饋
書目名稱Big Data in Engineering Applications讀者反饋學科排名
作者: 拋媚眼 時間: 2025-3-21 21:09
Precambrian of the North American Craton,in our study area, a bottomland hardwood wetland located in the USDA Forest Service Santee Experimental Forest. Our study demonstrated the feasibility and acceleration performance of the parallel interpolation approach for tackling the big data challenge associated with the generation of very high r作者: dissent 時間: 2025-3-22 02:06 作者: 初次登臺 時間: 2025-3-22 07:59 作者: 意外的成功 時間: 2025-3-22 10:39
Genericity in Geometric Computingder level view of attack patterns to provide situational awareness of Cyber Security threats. We investigate and explore the event data generated by the Internet protocol Domain Name Systems (DNS) for the purpose of Cyber threat situational awareness. Traditional methods such as Static and Binary an作者: 使厭惡 時間: 2025-3-22 15:12 作者: heterogeneous 時間: 2025-3-22 19:39
https://doi.org/10.1007/978-1-84800-115-2ata point, and using Hashtable when checking the status of and processing the data points. Also other advanced data structures from Spark are applied to make our implementation more effective. We implement the algorithm in Java and evaluate its scalability by using different number of processing cor作者: 書法 時間: 2025-3-22 22:05 作者: Pruritus 時間: 2025-3-23 04:52
Genericity in Geometric Computingpar with that of their counterparts at the national and global level. Analysis of vast data sources generated in this connection being more often not available for analysis is a major concern. The analysis of these volumes of data plays a major role in understanding and ensuring that institutions ar作者: GRATE 時間: 2025-3-23 05:53
3D Computational Euclidean Geometry ., to record the mismatches between . and . during a search of .(.) against .. In this process, the mismatching tree can be effectively utilized to do some kind of useful mismatching information derivation based on .(.) to avoid any possible redundancy. Extensive experiments have been done to compa作者: collagenase 時間: 2025-3-23 12:33 作者: Estrogen 時間: 2025-3-23 17:04
Coordinate-Free Geometric Computingty in terms of the Maximum compressive stresses, Maximum tensile stresses, and Blow per foot. A database of more than four thousand piles is utilized for model development and comparative performance of the predictions between BPNN and MARS.作者: abreast 時間: 2025-3-23 21:39
Introduction to Geometric Computingtion models are curing time, NaOH concentration, Ca(OH). content, superplasticizer content, types of mold, types of geopolymer and H.O/Na.O molar ratio. The developed AI models were compared in terms of different statistical parameters such as average absolute error, root mean square error correlati作者: 斜谷 時間: 2025-3-23 23:37 作者: KIN 時間: 2025-3-24 03:02 作者: orthopedist 時間: 2025-3-24 06:33
Big-Data Analysis of Process Performance: A Case Study of Smart Cities,nt of the service delivery process of the Open311 smart services deployed in the city of Chicago. The outcomes of the test show the ability of the systems to generate metrics in nearly real-time for high volumes of data.作者: probate 時間: 2025-3-24 13:57
Implementing Scalable Machine Learning Algorithms for Mining Big Data: A State-of-the-Art Survey,ing Machine Learning algorithms, will be cited throughout the review. However, this review is mainly focused on the performance and implementation traits of scalable Machine Learning algorithms, rather than on framework wide-ranging choices and their trade-offs.作者: Trochlea 時間: 2025-3-24 15:33 作者: 充氣女 時間: 2025-3-24 21:16
Facing Up to Nomophobia: A Systematic Review of Mobile Phone Apps that Reduce Smartphone Usage, including smartphone apps, are being attempted for use for health behavior change. We discuss methods of sorting through “big data” generated by apps that purport to curb smartphone addiction. Finally, we propose data-driven features, such as social facilitation and gamification, that developers mi作者: mastoid-bone 時間: 2025-3-25 02:18 作者: 一個姐姐 時間: 2025-3-25 05:16
Understanding How Big Data Leads to Social Networking Vulnerability,tos, connections, statuses) could lead to an unprecedented level of intrusiveness and familiarity with sensitive personal information. Support for the view that this potential for abuse of private information is being exploited was found in research describing the rapid adaptation of malware to soci作者: 豐富 時間: 2025-3-25 08:53 作者: 獨行者 時間: 2025-3-25 13:25
BWT: An Index Structure to Speed-Up Both Exact and Inexact String Matching, ., to record the mismatches between . and . during a search of .(.) against .. In this process, the mismatching tree can be effectively utilized to do some kind of useful mismatching information derivation based on .(.) to avoid any possible redundancy. Extensive experiments have been done to compa作者: interlude 時間: 2025-3-25 18:31
Traffic Condition Monitoring Using Social Media Analytics,weets data. The preliminary results show that the proposed methodology, comparatively tested for accuracy and precision with another approach employing Latent Dirichlet Allocation is sufficient for predicting traffic flow in order to effectively improve the road traffic condition.作者: 荒唐 時間: 2025-3-25 22:25 作者: 內(nèi)疚 時間: 2025-3-26 01:00 作者: 詞匯 時間: 2025-3-26 08:19 作者: Jingoism 時間: 2025-3-26 11:23 作者: 賠償 時間: 2025-3-26 14:10
Precambrian of the North American Craton,ng the accuracy of the applications that are depending on the topographic data. The analyses of micro-level topographic surfaces are particularly important for a series of geospatially related engineering applications. However, the generation of very high resolution DEM using, for example, LiDAR dat作者: 舊病復發(fā) 時間: 2025-3-26 19:37
https://doi.org/10.1007/978-1-349-15613-9ance. This architecture comes in the form of an analytical framework that lies on big-data and cloud-computing technologies aimed to cope with the demands of the crowd-sourced data analysis in terms of latency and data volume. This framework is proposed to be applied to the Smart Cities and the Inte作者: FLACK 時間: 2025-3-26 21:28 作者: Mendicant 時間: 2025-3-27 01:37
1D Computational Spherical Geometryof the top most used and preferred open source distributed system developed by the Apache including apache zookeeper, apache Hadoop HBase provide random access for the storing and retrieving the data. In HBase we can store any type of data in any format, data can be structured and semi structured. I作者: 點燃 時間: 2025-3-27 06:50 作者: Gobble 時間: 2025-3-27 13:23
Coordinate-Free Geometric Computingistics that distinguish it as a child: Volume, speed, variety, veracity and volatility. In a concrete way, different applications based on this architecture are analyzed, from which it is possible to find health, internet of things, among other applications. A description of the data used in health 作者: EXALT 時間: 2025-3-27 15:43 作者: Junction 時間: 2025-3-27 20:11
https://doi.org/10.1007/978-1-84800-115-2llelization of DBSCAN is a challenging work because there is an inherent sequential data access order and based on MPI or OpenMP environments, there exist the issues of lack of fault-tolerance and there is no guarantee that workload is balanced. Moreover, programming with MPI requires data scientist作者: 中子 時間: 2025-3-28 01:18
Coordinate-Free Geometric Computing it is used to refer to social networking websites and the enormous quantities of personal information, posts, and networking activities contained therein. The quantity and sensitive nature of this information constitutes both a fascinating means of inferring sociological parameters and a grave risk作者: Facet-Joints 時間: 2025-3-28 03:49
Genericity in Geometric Computingnd health care are relatively new. The dynamics of higher education is passing through a phase of rapid changes. Also, the amount of data available in this field and proper analytics can reap the benefits and highlight on future techniques to be followed in handling the complex situations arisen fro作者: 敘述 時間: 2025-3-28 09:06
3D Computational Euclidean Geometrywe address two issues around this mechanism: (1) how to use BWT to improve the running time of a multiple pattern string matching process; and (2) how to integrate mismatching information into a search of BWT arrays to expedite string matching with . mismatches. For the first problem, we will first 作者: sphincter 時間: 2025-3-28 12:09
Coordinate-Free Geometric Computing condition monitoring using social media data analytics. This involves sentiment analysis and cluster classification utilizing the big data volume readily available through Twitter microblogging service. Firstly, we examine some key aspects of big data technology for traffic, transportation and info作者: QUAIL 時間: 2025-3-28 14:49
Coordinate-Free Geometric Computingpact of the piling hammer induces compression and tension stresses in the piles. Hence, an important design consideration is to check that the strength of the pile is sufficient to resist the stresses caused by the impact of the pile hammer. Due to its complexity, pile drivability lacks a precise an作者: Highbrow 時間: 2025-3-28 18:46
Introduction to Geometric Computingbtractive clustering (ANFIS-SC) and fuzzy C-Means clustering (ANFIS-FCM) for forecasting long period daily streamflow magnitudes. Long-period data (between 1936 and 2016) from two hydrometric stations in USA were used for training, evaluating and testing the approaches. Five different input combinat作者: Orchiectomy 時間: 2025-3-29 01:47
Introduction to Geometric Computing cement. The strength of the geopolymer depends upon different factors such as chemical constituents, curing temperature, curing time, super plasticizer etc. In this paper, prediction models for compressive strength of geopolymer is presented using recently developed artificial intelligence techniqu作者: AVANT 時間: 2025-3-29 03:58
Introduction to Geometric Computingbjectives of power networks. Power companies can attain high indexes of efficiency, reliability and sustainability of the smart grid by appropriate management of such data. Therefore, the smart grids can be assumed as a big data challenge, which needs advanced information techniques to meet massive 作者: Esophagus 時間: 2025-3-29 10:18 作者: Irrepressible 時間: 2025-3-29 15:23
https://doi.org/10.1007/978-981-10-8476-8Deep Learning; Machine Learning; Deep Neutral Network; Data Analytics; Predictive Modeling; Predictive An作者: Vertical 時間: 2025-3-29 17:33
978-981-13-4162-5Springer Nature Singapore Pte Ltd. 2018作者: aspersion 時間: 2025-3-29 21:41 作者: chiropractor 時間: 2025-3-30 02:33 作者: Ophthalmologist 時間: 2025-3-30 07:42
Big Data in Engineering Applications978-981-10-8476-8Series ISSN 2197-6503 Series E-ISSN 2197-6511 作者: defuse 時間: 2025-3-30 09:23 作者: Leaven 時間: 2025-3-30 15:13
2197-6503 achine learning techniques in Big Data environment.Treats bo.This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil 作者: hallow 時間: 2025-3-30 20:29 作者: 壁畫 時間: 2025-3-31 00:46
1D Computational Spherical Geometryer the requirement. This type of design provide a more powerful and scalable approach for the data handling. This chapter explains about the how efficient HBase architecture and its command, operations are different from traditional systems.作者: 蹣跚 時間: 2025-3-31 01:53
Coordinate-Free Geometric Computingh data in the health area, all of them as a basis to carry out data analysis, to support decision-making and to serve as a basis for the creation of Institutional health programs. It concludes with evidence of the significant contribution that a big data model can give to the health sector in Mexico.作者: grandiose 時間: 2025-3-31 08:05 作者: 天文臺 時間: 2025-3-31 10:16 作者: 減弱不好 時間: 2025-3-31 15:26
Applying Big Data Concepts to Improve Flat Steel Production Processes,t is operationally applicable. In the first application, we realized an instant interactive data visualisation enabling the in-coil aggregation of millions of quality and process measures within seconds. In the second application, we used the simple and fast HR data access to realize a refined cause-and-effect analysis.作者: 值得 時間: 2025-3-31 21:25 作者: 無節(jié)奏 時間: 2025-4-1 00:53
