標(biāo)題: Titlebook: Business Intelligence for Enterprise Internet of Things; Anandakumar Haldorai,Arulmurugan Ramu,Syed Abdul R Book 2020 Springer Nature Swit [打印本頁] 作者: 誓約 時間: 2025-3-21 17:59
書目名稱Business Intelligence for Enterprise Internet of Things影響因子(影響力)
書目名稱Business Intelligence for Enterprise Internet of Things影響因子(影響力)學(xué)科排名
書目名稱Business Intelligence for Enterprise Internet of Things網(wǎng)絡(luò)公開度
書目名稱Business Intelligence for Enterprise Internet of Things網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Business Intelligence for Enterprise Internet of Things被引頻次
書目名稱Business Intelligence for Enterprise Internet of Things被引頻次學(xué)科排名
書目名稱Business Intelligence for Enterprise Internet of Things年度引用
書目名稱Business Intelligence for Enterprise Internet of Things年度引用學(xué)科排名
書目名稱Business Intelligence for Enterprise Internet of Things讀者反饋
書目名稱Business Intelligence for Enterprise Internet of Things讀者反饋學(xué)科排名
作者: 手榴彈 時間: 2025-3-21 23:20
Media and Well-graded Families,es and contributions of technologies used in various levels. This research therefore proposes the IoTs Sim-Edge simulators, which are meant to permit users to analyse the edge computing cases more easily since this simulator is more customizable and configurable in the ecosystem. The model is create作者: 為敵 時間: 2025-3-22 01:35 作者: 創(chuàng)新 時間: 2025-3-22 07:11 作者: Integrate 時間: 2025-3-22 10:20 作者: Endoscope 時間: 2025-3-22 16:15
Well-Graded Families of Relations,overview of industrial IoTs. Moreover, the chapter evaluates the IoTs architecture, its services, and the relevant challenges, including the models that are vital for the deployment and selection of the various IoTs services in different industrial settings which will be analyzed in various case stu作者: Acclaim 時間: 2025-3-22 18:07 作者: 瘙癢 時間: 2025-3-22 23:40 作者: 意外的成功 時間: 2025-3-23 05:21
Johannes Bruhn,Matthias Anderer academic buildings and hostel blocks. The proposed heat map can effectively retain the temporal motion knowledge of the crowd of humans, and the proposed surface fitting can efficiently fetch the features of the heat map for activity discovery and perception. By using heat maps in targeted digital 作者: declamation 時間: 2025-3-23 07:55 作者: Conflagration 時間: 2025-3-23 11:37 作者: 蔓藤圖飾 時間: 2025-3-23 17:26
Organization Internet of Things (IoTs): Supervised, Unsupervised, and Reinforcement Learning,users have to be authenticated so as to utilize various applications and services of IoTs. Normally, IoTs services and applications are centered on information exchange over various platforms. The information obtained from IoTs devices is processed, pre-processed, and forwarded via decision-support 作者: 不能和解 時間: 2025-3-23 21:26 作者: colloquial 時間: 2025-3-24 01:16
Advanced Machine Learning for Enterprise IoT Modeling,gorithms that can be employed in a different perspective of enterprise IoT and their applications are presented here. This would be a great help for the researchers and practitioners in the field of enterprise?IoT.作者: SEMI 時間: 2025-3-24 02:42
Enterprise Architecture for IoT: Challenges and Business Trends,overview of industrial IoTs. Moreover, the chapter evaluates the IoTs architecture, its services, and the relevant challenges, including the models that are vital for the deployment and selection of the various IoTs services in different industrial settings which will be analyzed in various case stu作者: Reservation 時間: 2025-3-24 10:16
On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machined based on machine learning algorithms. Data distribution is made on the basis of publishing/subscribing method. For continuous connectivity of devices in wired and wireless links, standard communication protocols are essential to manage the high traffic in the network as well. Added to it, new sol作者: 連系 時間: 2025-3-24 13:18 作者: vanquish 時間: 2025-3-24 16:12 作者: 中世紀(jì) 時間: 2025-3-24 20:42
Emphasizing on Space Complexity in Enterprise Social Networks for the Investigation of Link Predicty show that this approach can reduce the space complexity for forecasting the links that will occur in future. The proposed approach significantly improves the performance of link prediction in social networks.作者: 輕浮思想 時間: 2025-3-24 23:25 作者: d-limonene 時間: 2025-3-25 06:26
Business Intelligence for Enterprise Internet of Things978-3-030-44407-5Series ISSN 2522-8595 Series E-ISSN 2522-8609 作者: 售穴 時間: 2025-3-25 07:45 作者: 爭吵加 時間: 2025-3-25 12:33 作者: Handedness 時間: 2025-3-25 16:31
Well-Graded Families of Relations,r several other innovations. New Industrial Internet of Things (IIoT) platforms aim to solve the most complex challenge of manufacturers: consolidating all production systems into a single data model. They are used in smart cities, security and emergencies, environmental applications, energy, health作者: Allodynia 時間: 2025-3-25 20:33
https://doi.org/10.1007/978-3-540-71697-6e generating numerous amounts of sensitive data that are being communicated over an unprotected network. The manufacturers are providing the least preferences for the device-level security due to resource-constrained properties of the IoT devices. The existing research has shown large computational 作者: SAGE 時間: 2025-3-26 01:47 作者: cunning 時間: 2025-3-26 07:47 作者: allergen 時間: 2025-3-26 08:56
https://doi.org/10.1007/978-3-540-71697-6s. Data mining and pattern extraction are challenging with such a quickly increasing amount of data, in terms of both information and time. A promising computing trend known as Big Data can help. Big Data combines large-scale computing with machine learning techniques to build predictive analytics f作者: Fibroid 時間: 2025-3-26 13:42
https://doi.org/10.1007/978-3-319-28489-7ext in developing a dynamic environment where IoT devices can connect and manage their resources on their own. New services are needed to progress the performance and service quality provided by the old services. Self-adaptation is essential for the IoT devices in a dynamic environment. These device作者: 車床 時間: 2025-3-26 18:53
https://doi.org/10.1007/978-3-319-28489-7ectivity, energy, and memory. If the virtual machine is placed nearer to the Internet of Things nodes, it increases their efficiency by manifold. Virtual machine placement optimization is a trial and error method. Many new algorithms will be proposed and their results are tested against the desired 作者: eulogize 時間: 2025-3-26 23:19 作者: 衰弱的心 時間: 2025-3-27 02:57
What’s German About German Media Theory?poses in optimization. Because of the variability in the features of various optimization issues, none of these algorithms are capable of displaying a more robust performance. The differentiating aim of every optimizing issue potentially makes it more difficult. The success of the GA is dependent on作者: chisel 時間: 2025-3-27 07:54 作者: 撕裂皮肉 時間: 2025-3-27 10:18
/,: Two Approaches to the Medialhis study, the artificial neural network is considered as the inverter control system in PV-based micro-grid, which is optimally placed in a 13-node feeder system. Artificial neural network (ANN) improves the performance and efficiency of the inverter and adjusts power quality. The proposed method i作者: Stricture 時間: 2025-3-27 13:40 作者: 熄滅 時間: 2025-3-27 18:27
A Model for Media Transformation,e solar power system can be highly regulated anywhere. The main challenge for the solar power system is the evaluation of productivity against different conditions and parameters. Consequently, some evaluation techniques are required for the purpose of assessing results. This analysis is meant to su作者: critique 時間: 2025-3-27 22:15
Johannes Bruhn,Matthias Andereroptimize the targeted digital advertising in shopping complexes. Firstly, we use the PIR (pyroelectric infrared) sensors to detect the presence of people. The projected algorithm first represents trajectories of people as sequence of “heat sources” followed by the application of a thermal diffusion 作者: crucial 時間: 2025-3-28 04:01 作者: 凝結(jié)劑 時間: 2025-3-28 07:58 作者: 制度 時間: 2025-3-28 11:31
https://doi.org/10.1007/978-3-030-44407-5Enterprise architecture for internet of things; Enterprise network for IoT modelling; Internet of thin作者: 繁榮中國 時間: 2025-3-28 16:10 作者: 紳士 時間: 2025-3-28 21:28 作者: 拋射物 時間: 2025-3-29 02:57
EAI/Springer Innovations in Communication and Computinghttp://image.papertrans.cn/b/image/192223.jpg作者: 哭得清醒了 時間: 2025-3-29 03:11 作者: 過濾 時間: 2025-3-29 10:07
Organization Internet of Things (IoTs): Supervised, Unsupervised, and Reinforcement Learning,he introduction of Internet of Things (IoTs) has initiated unique advancement probabilities to different organizations such as field service and manufacturing company. The ideology of IoTs is a fundamental segment of the upcoming generation of data. Wireless sensor networking includes self-regulatin作者: RODE 時間: 2025-3-29 14:36 作者: 向外才掩飾 時間: 2025-3-29 19:17 作者: SPASM 時間: 2025-3-29 23:35 作者: 條街道往前推 時間: 2025-3-30 00:26 作者: Lucubrate 時間: 2025-3-30 04:12
Semi-Supervised Machine Learning Algorithm for Predicting Diabetes Using Big Data Analytics,s. Data mining and pattern extraction are challenging with such a quickly increasing amount of data, in terms of both information and time. A promising computing trend known as Big Data can help. Big Data combines large-scale computing with machine learning techniques to build predictive analytics f作者: 鐵塔等 時間: 2025-3-30 09:18
On-the-Go Network Establishment of IoT Devices to Meet the Need of Processing Big Data Using Machinext in developing a dynamic environment where IoT devices can connect and manage their resources on their own. New services are needed to progress the performance and service quality provided by the old services. Self-adaptation is essential for the IoT devices in a dynamic environment. These device作者: 情感脆弱 時間: 2025-3-30 12:39 作者: 小溪 時間: 2025-3-30 18:47
Performance Evaluation of Different Neural Network Classifiers for Sanskrit Character Recognition,om a handwritten document using optical character recognition (OCR) technique. In our work, geometrical feature extraction and neural network computational algorithm are used for recognizing the offline handwritten Sanskrit characters. Initially the binarization and denoising processes are performed作者: grounded 時間: 2025-3-30 21:59
GA with Repeated Crossover for Rectifying Optimization Problems,poses in optimization. Because of the variability in the features of various optimization issues, none of these algorithms are capable of displaying a more robust performance. The differentiating aim of every optimizing issue potentially makes it more difficult. The success of the GA is dependent on作者: 和平主義 時間: 2025-3-31 03:30
An Algorithmic Approach to System Identification in the Delta Domain Using FAdFPA Algorithm, hybrid metaheuristic algorithm that integrates firefly algorithm (FA) with the dynamic flower pollination algorithm (dFPA). FA analyzes the complete search domain, whereas the dFPA is utilized in the process of refining the solutions. The two models (Wiener and Hammerstein models) are used in the p作者: 盤旋 時間: 2025-3-31 07:38
An IoT-Based Controller Realization for PV System Monitoring and Control,his study, the artificial neural network is considered as the inverter control system in PV-based micro-grid, which is optimally placed in a 13-node feeder system. Artificial neural network (ANN) improves the performance and efficiency of the inverter and adjusts power quality. The proposed method i作者: Mumble 時間: 2025-3-31 11:55
