Paper-Conference

Towards smart traffic lights based on deep learning and traffic flow information
Traffic congestion is a significant cause hindering development and adversely affecting socio-economic life; mean-while, traditional …
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Towards a high-performance threat-aware system for software-defined networks
With the rapid development of intelligent devices and high-speed networks, the popularity of Internet services and the Internet of …
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A lightweight machine-learning based wireless link estimation for iot devices
Robust wireless communication between devices is crucial to ensuring the reliability of IoT systems. However, it is strictly relied on …
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A real-time evaluation framework for machine learning-based ids
With the rapid evolution of internal and external cyber threats, building a reliable security management system has become an urgent …
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Empirical performance evaluation of machine learning based DDoS attack detections
A distributed denial-of-service attack (DDoS) is a critical attack-type that strongly damages the Quality of Service (QoE). Although …
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Towards Remote Deployment for Intrusion Detection System to IoT Edge Devices
Recently, low latency in data transmission has become one of the most critical requirements in developing the Internet of Things (IoT) …
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An ensemble feature selection algorithm for machine learning based intrusion detection system
In recent years, we have witnessed the significant growth of the Internet along with emerging security threats. A machine …
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LS-SPP: A LSTM-Based Solar Power Prediction Method from Weather Forecast Information
Solar radiation is an unlimited source of clean energy with huge exploitation potential. To effectively exploit this valuable resource, …
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Odlie: On-demand deep learning framework for edge intelligence in industrial internet of things
Recently, we have witnessed the evolution of Edge Computing (EC) and Deep Learning (DL) serving Industrial Internet of Things (IIoT) …
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Artificial cognition for early leaf disease detection using vision transformers
There are many kinds of cassava leaf diseases firmly harm cassava yield, including four main types as followings Cassava Bacterial …
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