標(biāo)題: Titlebook: Edge AI; Convergence of Edge Xiaofei Wang,Yiwen Han,Xu Chen Book 2020 The Editor(s) (if applicable) and The Author(s), under exclusive lic [打印本頁] 作者: Precise 時(shí)間: 2025-3-21 18:44
書目名稱Edge AI影響因子(影響力)
書目名稱Edge AI影響因子(影響力)學(xué)科排名
書目名稱Edge AI網(wǎng)絡(luò)公開度
書目名稱Edge AI網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Edge AI被引頻次
書目名稱Edge AI被引頻次學(xué)科排名
書目名稱Edge AI年度引用
書目名稱Edge AI年度引用學(xué)科排名
書目名稱Edge AI讀者反饋
書目名稱Edge AI讀者反饋學(xué)科排名
作者: OTTER 時(shí)間: 2025-3-21 23:08
Edge Computing for Artificial Intelligenceffloading of AI computation; (3) well-designed edge computing frameworks can better maintain AI services running on the edge; (4) fair platforms for evaluating Edge AI performance help further evolve the above implementations.作者: 顛簸下上 時(shí)間: 2025-3-22 02:03
https://doi.org/10.1007/978-0-387-79918-6ased on these information, (2) DRL can be applied to learn the long-term optimal resource management and task scheduling strategies, so as to achieve the intelligent management of the edge, viz. intelligent edge as shown in Tables 8.1, 8.2, and 8.3.作者: Respond 時(shí)間: 2025-3-22 06:10 作者: 誘拐 時(shí)間: 2025-3-22 12:33
nnections between enabling technologies for edge computing aAs an important enabler for changing people’s lives, advances in arti?cial intelligence (AI)-based applications and services are on the rise, despite being hindered by ef?ciency and latency issues. By focusing on deep learning as the most r作者: 世俗 時(shí)間: 2025-3-22 14:02
Language-Related and Learning Disordersunder the multiple constraints of networking, communication, computing power, and energy consumption, how to devise and develop edge computing architecture to achieve the best performance of AI training and inference.作者: 世俗 時(shí)間: 2025-3-22 19:54
Cementing ‘Child First’ in Practiceated technologies, and its development trend will also be the integration of other technologies. Among them, the combination of artificial intelligence technology and edge computing is an important development direction, and there is huge room for development in the future whether intelligent edge or edge intelligence.作者: OMIT 時(shí)間: 2025-3-22 21:30
Child Health in a Changing Environmentg, because cloud computing can process some computation-intensive tasks that edge devices cannot deal with, relying on its rich computing power and storage resources. Therefore, the combination of cloud computing and edge computing can satisfy the requirements of more diverse application scenarios and bring a more convenient experience to users.作者: 泥瓦匠 時(shí)間: 2025-3-23 03:01 作者: 安裝 時(shí)間: 2025-3-23 09:28 作者: Nutrient 時(shí)間: 2025-3-23 12:50
Fundamentals of Edge Computingg, because cloud computing can process some computation-intensive tasks that edge devices cannot deal with, relying on its rich computing power and storage resources. Therefore, the combination of cloud computing and edge computing can satisfy the requirements of more diverse application scenarios and bring a more convenient experience to users.作者: 尋找 時(shí)間: 2025-3-23 15:16 作者: 抱狗不敢前 時(shí)間: 2025-3-23 21:24 作者: 乳白光 時(shí)間: 2025-3-24 01:20
Conclusionsunder the multiple constraints of networking, communication, computing power, and energy consumption, how to devise and develop edge computing architecture to achieve the best performance of AI training and inference.作者: 男生戴手銬 時(shí)間: 2025-3-24 03:01
Eliana Cardoso,André Portela F. de Souzaication scenarios of AI especially with respect to the low-latency characteristic. In the following, we present edge AI applications and highlight their advantages over the comparing architectures without edge computing.作者: 就職 時(shí)間: 2025-3-24 09:36 作者: 進(jìn)步 時(shí)間: 2025-3-24 13:05 作者: GRILL 時(shí)間: 2025-3-24 17:18
Fundamentals of Edge Computingsion, improving service latency, and easing cloud computing pressure. At the same time, the emergence of edge computing has spawned a large number of new technologies and promoted the updating and application of some existing technologies, such as the improvement of end device hardware capabilities 作者: hereditary 時(shí)間: 2025-3-24 22:06 作者: 難聽的聲音 時(shí)間: 2025-3-25 01:24
Artificial Intelligence Applications on Edgex and hard to compute their inference results on the side of resource-limited devices. However, such kind of “end–cloud” architecture cannot meet the needs of real-time AI services such as real-time analytics, smart manufacturing, etc. Thus, deploying AI applications on the edge can broaden the appl作者: 賄賂 時(shí)間: 2025-3-25 03:29 作者: Champion 時(shí)間: 2025-3-25 08:15
Artificial Intelligence Training at Edgee architecture, which consists of a large number of edge nodes with modest computing resources, can cater for alleviating the pressure of networks and protecting data privacy by processing the data or training at themselves. Training at the edge or potentially among “end–edge–cloud,” treating the ed作者: canonical 時(shí)間: 2025-3-25 13:29
Edge Computing for Artificial Intelligencee level, the design, adaptation, and optimization of edge hardware and software are equally important. Specifically, (1) customized edge hardware and corresponding optimized software frameworks and libraries can help AI execution more efficiently; (2) the edge computing architecture can enable the o作者: 改變立場 時(shí)間: 2025-3-25 18:43
Artificial Intelligence for Optimizing Edgent. Computation and storage capabilities of edge nodes, along with the collaboration of the cloud, make it possible to use DL to optimize edge computing networks and systems. With regard to various edge management issues such as edge caching, offloading, communication, security protection, etc., (1)作者: glans-penis 時(shí)間: 2025-3-25 20:59 作者: mucous-membrane 時(shí)間: 2025-3-26 02:43
Conclusionsle scenarios and fundamental enabling techniques for . and .. In summary, the key issue of extending AI from the cloud to the edge of the network is: under the multiple constraints of networking, communication, computing power, and energy consumption, how to devise and develop edge computing archite作者: Goblet-Cells 時(shí)間: 2025-3-26 04:33 作者: 立即 時(shí)間: 2025-3-26 10:02 作者: GRAVE 時(shí)間: 2025-3-26 16:35
I; and e)using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving mor978-981-15-6188-7978-981-15-6186-3作者: 繁重 時(shí)間: 2025-3-26 18:29 作者: 清楚 時(shí)間: 2025-3-26 23:02
Fundamentals of Artificial Intelligenceis of the development bottlenecks of the current cloud computing model. The reader can understand that the current response time requirements of some deep learning applications are extremely demanding, and cloud computing can no longer meet the needs. Therefore, it is necessary to consider transferr作者: Pantry 時(shí)間: 2025-3-27 03:32 作者: 外向者 時(shí)間: 2025-3-27 07:22 作者: CURL 時(shí)間: 2025-3-27 10:35 作者: 動(dòng)物 時(shí)間: 2025-3-27 14:21
Xiaofei Wang,Yiwen Han,Xu ChenReviews the latest research, developments and practices concerning edge intelligence and intelligent edge.Helps readers to understand the connections between enabling technologies for edge computing a作者: Organonitrile 時(shí)間: 2025-3-27 21:46 作者: Neutropenia 時(shí)間: 2025-3-28 01:41 作者: Endemic 時(shí)間: 2025-3-28 05:21
Child Health in a Changing Environmentsion, improving service latency, and easing cloud computing pressure. At the same time, the emergence of edge computing has spawned a large number of new technologies and promoted the updating and application of some existing technologies, such as the improvement of end device hardware capabilities 作者: 個(gè)阿姨勾引你 時(shí)間: 2025-3-28 09:44 作者: 生氣地 時(shí)間: 2025-3-28 11:07
