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Titlebook: Computer Engineering and Networking; Proceedings of the 2 W. Eric Wong,Tingshao Zhu Conference proceedings 2014 The Editor(s) (if applicabl

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樓主: Lampoon
31#
發(fā)表于 2025-3-26 23:03:07 | 只看該作者
Energy-Effective Frequency-Based Adaptive Sampling Algorithm for Clustered Wireless Sensor Networkclustered region, afterwards regulate signal sampling frequency following with minimal necessary frequency criterion; as a result, the previous desired level of accuracy is achieved, and the energy consumption is decreased. The simulation results are compared with that of fixed sampling rate approach with respect to energy conservation.
32#
發(fā)表于 2025-3-27 03:01:44 | 只看該作者
33#
發(fā)表于 2025-3-27 09:04:34 | 只看該作者
34#
發(fā)表于 2025-3-27 09:51:36 | 只看該作者
35#
發(fā)表于 2025-3-27 15:49:48 | 只看該作者
1876-1100 es.Examines innovation in the fields of computer engineeringThis book aims to examine innovation in the fields of computer engineering and networking. The book covers important emerging topics in computer engineering and networking, and it will help researchers and engineers improve their knowledge
36#
發(fā)表于 2025-3-27 18:53:38 | 只看該作者
37#
發(fā)表于 2025-3-28 00:24:34 | 只看該作者
38#
發(fā)表于 2025-3-28 05:47:19 | 只看該作者
Contributions to Management Scienceconsiders the advantages of Ellipse algorithm and Rectangle algorithm. When tested in the simulator, we find that the time-complexity of Cut-corner algorithm is reduced by 5–20 % compared with that of other conventional algorithms. Thus, it has better effect when used in navigation software of low-end mobile device.
39#
發(fā)表于 2025-3-28 08:34:21 | 只看該作者
An Improved Cluster Head Algorithm for Wireless Sensor Networkroved algorithm avoids direct communication between BS and the cluster head which has low energy and is far away from BS, which prolongs the lifetime of network and enhances the ability of data collection. The experiments show that this technique of event-driven can cut down the data transmission and further extend the lifetime of network.
40#
發(fā)表于 2025-3-28 14:09:26 | 只看該作者
The Universal Approximation Capability of Double Flexible Approximate Identity Neural Networksapproximate identity functions and flexible approximate identity functions as investigated in our previous studies. Then, we prove that any continuous function . with two variables will converge to itself if it convolves with double flexible approximate identity. Finally, we prove a main theorem by using the obtained results.
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