Racket
发表于 2025-3-21 19:16:14
书目名称Intelligence of Things: Technologies and Applications影响因子(影响力)<br> http://impactfactor.cn/2024/if/?ISSN=BK0469330<br><br> <br><br>书目名称Intelligence of Things: Technologies and Applications影响因子(影响力)学科排名<br> http://impactfactor.cn/2024/ifr/?ISSN=BK0469330<br><br> <br><br>书目名称Intelligence of Things: Technologies and Applications网络公开度<br> http://impactfactor.cn/2024/at/?ISSN=BK0469330<br><br> <br><br>书目名称Intelligence of Things: Technologies and Applications网络公开度学科排名<br> http://impactfactor.cn/2024/atr/?ISSN=BK0469330<br><br> <br><br>书目名称Intelligence of Things: Technologies and Applications被引频次<br> http://impactfactor.cn/2024/tc/?ISSN=BK0469330<br><br> <br><br>书目名称Intelligence of Things: Technologies and Applications被引频次学科排名<br> http://impactfactor.cn/2024/tcr/?ISSN=BK0469330<br><br> <br><br>书目名称Intelligence of Things: Technologies and Applications年度引用<br> http://impactfactor.cn/2024/ii/?ISSN=BK0469330<br><br> <br><br>书目名称Intelligence of Things: Technologies and Applications年度引用学科排名<br> http://impactfactor.cn/2024/iir/?ISSN=BK0469330<br><br> <br><br>书目名称Intelligence of Things: Technologies and Applications读者反馈<br> http://impactfactor.cn/2024/5y/?ISSN=BK0469330<br><br> <br><br>书目名称Intelligence of Things: Technologies and Applications读者反馈学科排名<br> http://impactfactor.cn/2024/5yr/?ISSN=BK0469330<br><br> <br><br>
该得
发表于 2025-3-21 21:47:19
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寄生虫
发表于 2025-3-22 02:05:22
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apiary
发表于 2025-3-22 07:45:17
A New Intelligent Computing Method for Scheduling and Crashing Projects with Fuzzy Activity Completiues. In the era of digital economy, these time data are not always crisp, and it is necessary to develop intelligent computing methods to support the project management board when the project activity completion times assume some kinds of uncertainty, such as fuzziness or randomness. A lot of resear
背带
发表于 2025-3-22 12:11:48
A Study of Filter-Based Feature Selection in Software Fault Predictionnce on the performance of a predictive model. However, high dimensional data impacts negatively on the predictive accuracy. As a solution, feature selection provides a process of selecting the optimal features that combine with machine learning techniques to build SFP models. For feature selection,
Permanent
发表于 2025-3-22 15:59:24
Applying Lecturer Expectation and Learning Retention to an Adaptive Learning Systemthat adapt to their knowledge. However, previous studies showed a gap in considering learning retention in study programming. The new knowledge becomes familiar to the learner by learning repetitively. Additionally, it lacks the lecturer’s expectations in determining the learner’s knowledge. This st
灵敏
发表于 2025-3-22 17:40:12
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有偏见
发表于 2025-3-22 22:44:47
Edge Computing for Wireless Sensor Network system in the network, multiple conditions need to be considered. The performance, accuracy aspects are vital to a successful edge AI node in a WSN as more and more complicated tasks are being solved at the edge of the network. Energy management is also a concern as a great amount of edge devices a
陪审团
发表于 2025-3-23 03:54:20
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explicit
发表于 2025-3-23 05:38:10
A-DEM: The Adaptive Approximate Approach for the Real Scheduling Problemis developed from the Differential Evolution (DE) algorithm hybrid with the adaptive method, which dynamically changes the crossover probability parameter during the evolution process. That parameter value is calculated from the neighborhood particles. The individuals used to make dynamic crossover