Titlebook: Intelligence of Things: Technologies and Applications; The First Internatio Ngoc-Thanh Nguyen,Nhu-Ngoc Dao,Hong Anh Le Conference proceedin

Racket

書目名稱Intelligence of Things: Technologies and Applications影響因子(影響力)




書目名稱Intelligence of Things: Technologies and Applications影響因子(影響力)學(xué)科排名




書目名稱Intelligence of Things: Technologies and Applications網(wǎng)絡(luò)公開度




書目名稱Intelligence of Things: Technologies and Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Intelligence of Things: Technologies and Applications被引頻次




書目名稱Intelligence of Things: Technologies and Applications被引頻次學(xué)科排名




書目名稱Intelligence of Things: Technologies and Applications年度引用




書目名稱Intelligence of Things: Technologies and Applications年度引用學(xué)科排名




書目名稱Intelligence of Things: Technologies and Applications讀者反饋




書目名稱Intelligence of Things: Technologies and Applications讀者反饋學(xué)科排名

該得

寄生蟲

apiary

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

背帶

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

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

靈敏

有偏見

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

陪審團(tuán)

explicit

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