Search Results for author: Anwar Haque

Found 11 papers, 0 papers with code

Transfer Learning Based Efficient Traffic Prediction with Limited Training Data

no code implementations9 May 2022 Sajal Saha, Anwar Haque, Greg Sidebottom

In this paper, we investigated and evaluated the performance of the deep transfer learning technique in traffic prediction with inadequate historical data leveraging the knowledge of our pre-trained model.

Decoder Management +2

Wavelet-Based Hybrid Machine Learning Model for Out-of-distribution Internet Traffic Prediction

no code implementations9 May 2022 Sajal Saha, Anwar Haque, Greg Sidebottom

However, our proposed hybrid model considerably reduces the performance gap between identical and out-of-distribution evaluation compared with the standalone model, indicating the decomposition technique's effectiveness in the case of out-of-distribution generalization.

BIG-bench Machine Learning Management +2

Deep Sequence Modeling for Anomalous ISP Traffic Prediction

no code implementations3 May 2022 Sajal Saha, Anwar Haque, Greg Sidebottom

Several deep sequences models were implemented to predict real traffic without and with outliers and show the significance of outlier detection in real-world traffic prediction.

Outlier Detection Traffic Prediction

An Empirical Study on Internet Traffic Prediction Using Statistical Rolling Model

no code implementations3 May 2022 Sajal Saha, Anwar Haque, Greg Sidebottom

Then, we performed a comparative performance analysis among AutoRegressive Integrated Moving Average (ARIMA), Seasonal ARIMA (SARIMA), SARIMA with eXogenous factors (SARIMAX), and Holt-Winter for single-step prediction.

Future prediction Traffic Prediction

Towards an Ensemble Regressor Model for Anomalous ISP Traffic Prediction

no code implementations3 May 2022 Sajal Saha, Anwar Haque, Greg Sidebottom

As a result, many different mathematical models have been studied to capture the general trend of the network traffic and predict accordingly.

Management Outlier Detection +2

Appliance Operation Modes Identification Using Cycles Clustering

no code implementations25 Jan 2021 Abdelkareem Jaradat, Hanan Lutfiyya, Anwar Haque

The emerging technologies of Internet of Things (IoT) and Machine Learning (ML) deliver techniques that have the potential to efficiently conserve energy and improve the utilization of energy consumption.

Clustering energy management +1

Machine Learning Towards Enabling Spectrum-as-a-Service Dynamic Sharing

no code implementations4 Sep 2020 Abdallah Moubayed, Tanveer Ahmed, Anwar Haque, Abdallah Shami

Adopting effective and efficient spectrum sharing mechanisms is in itself a challenging task given the multitude of levels and techniques that can be integrated to enable it.

BIG-bench Machine Learning

Demand Response For Residential Uses: A Data Analytics Approach

no code implementations7 Aug 2020 Abdelkareem Jaradat, Hanan Lutfiyya, Anwar Haque

In the Smart Grid environment, the advent of intelligent measuring devices facilitates monitoring appliance electricity consumption.

Dynamic Time Warping

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