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Titlebook: Wireless Internet; 11th EAI Internation Jiann-Liang‘Chen,Ai-Chun Pang,Chun-Cheng Lin Conference proceedings 2019 ICST Institute for Compute

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21#
發(fā)表于 2025-3-25 07:11:03 | 只看該作者
Research and Performance Evaluation of Spatial Reuse Technology for Next Generation WLANlogy to improve the spectrum utilization, manage the multi-BSSs interferences and increase the possibility of simultaneous transmissions. This paper firstly introduces the SR technologies of IEEE 802.11ax in detail. After that, to fully verify the performance, we build a system & link level integrat
22#
發(fā)表于 2025-3-25 07:49:32 | 只看該作者
23#
發(fā)表于 2025-3-25 12:10:07 | 只看該作者
24#
發(fā)表于 2025-3-25 17:23:22 | 只看該作者
An Efficient MapReduce-Based Apriori-Like Algorithm for Mining Frequent Itemsets from Big Datatitiveness. Apriori is a classic algorithm for mining frequent itemsets. Recently, with rapid growth of the Internet as well as fast development of information and communications technology, the amount of data is augmented in an explosive fashion at a speed of tens of petabytes per day. These rapidl
25#
發(fā)表于 2025-3-25 21:52:55 | 只看該作者
Using Long-Short-Term Memory Based Convolutional Neural Networks for Network Intrusion Detectioncritical obstacles behind this massive development. Security becomes the hottest issue among the researchers. In this study, we focus on intrusion detection system (IDS) which is one of the solutions for security problems on network administration. Since intrusion detection system is a kind of class
26#
發(fā)表于 2025-3-26 02:58:45 | 只看該作者
Intrusion Detection for WiFi Network: A Deep Learning Approach intrusion activities are growing rapidly. Therefore, the continuous improvement of Intrusion Detection Systems (IDS) is necessary. In this paper, we analyse different types of network attacks in wireless networks and utilize Stacked Autoencoder (SAE) and Deep Neural Network (DNN) to perform network
27#
發(fā)表于 2025-3-26 04:57:48 | 只看該作者
Audio Event Detection Using Wireless Sensor Networks Based on Deep Learningsification system helps its users, especially elderly, on their everyday needs. In this paper, we propose using convolutional neural networks (CNN) for classifying audio streams. In contrast to AAL systems using traditional machine learning, our solution is capable of learning and inferring activiti
28#
發(fā)表于 2025-3-26 11:07:01 | 只看該作者
A Robust Remote Authentication Scheme for M-Commerce Environmentsmited devices over insecure networks has become an important issue. In this paper, we present a robust authentication scheme for the mobile device (a non-tamper-resistant device in which the secret authentication information stored in it could be retrieved) to solve the challenging lost device probl
29#
發(fā)表于 2025-3-26 13:05:11 | 只看該作者
MIH-Based eNB Selection for Untrusted Networksent which comprises networks of different technologies. Also, during a User Equipment’s (UE’s) handover, it would be better if we can choose a suitable eNB as the next eNB (NeNB) to serve this UE. Generally, this can be achieved with the help of Common Radio Resource Management (CRRM). In this study
30#
發(fā)表于 2025-3-26 17:42:05 | 只看該作者
Using Instant Messaging for Collaboration: A Study of the Relationships Among Organizational Trust, terprise’s most important assets, and it is important for administrators to grasp the psychology of their staff. Modern technology provided by mobile instant messaging (IM) has created a communication revolution, creating a culture of “texting rather than talking” through the use of smart phone mobi
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