Search Results for author: Mohammad Abu Alsheikh

Found 7 papers, 0 papers with code

Optimal Pricing of Internet of Things: A Machine Learning Approach

no code implementations14 Feb 2020 Mohammad Abu Alsheikh, Dinh Thai Hoang, Dusit Niyato, Derek Leong, Ping Wang, Zhu Han

For service bundles, the subscription fee and data sizes of the grouped IoT services are optimized to maximize the total profit of cooperative service providers.

BIG-bench Machine Learning

Through-Wall Human Pose Estimation Using Radio Signals

no code implementations CVPR 2018 Ming-Min Zhao, Tianhong Li, Mohammad Abu Alsheikh, Yonglong Tian, Hang Zhao, Antonio Torralba, Dina Katabi

Yet, unlike vision-based pose estimation, the radio-based system can estimate 2D poses through walls despite never trained on such scenarios.

RF-based Pose Estimation

Mobile Big Data Analytics Using Deep Learning and Apache Spark

no code implementations23 Feb 2016 Mohammad Abu Alsheikh, Dusit Niyato, Shaowei Lin, Hwee-Pink Tan, Zhu Han

The proliferation of mobile devices, such as smartphones and Internet of Things (IoT) gadgets, results in the recent mobile big data (MBD) era.

Activity Recognition

Deep Activity Recognition Models with Triaxial Accelerometers

no code implementations15 Nov 2015 Mohammad Abu Alsheikh, Ahmed Selim, Dusit Niyato, Linda Doyle, Shaowei Lin, Hwee-Pink Tan

Despite the widespread installation of accelerometers in almost all mobile phones and wearable devices, activity recognition using accelerometers is still immature due to the poor recognition accuracy of existing recognition methods and the scarcity of labeled training data.

Human Activity Recognition Temporal Sequences

Toward a Robust Sparse Data Representation for Wireless Sensor Networks

no code implementations2 Aug 2015 Mohammad Abu Alsheikh, Shaowei Lin, Hwee-Pink Tan, Dusit Niyato

Our contributions that address three major issues include: 1) an effective method that extracts population sparsity of the data, 2) a sparsity ratio guarantee scheme, and 3) a customized learning algorithm of the sparsifying dictionary.

Compressive Sensing

Machine Learning in Wireless Sensor Networks: Algorithms, Strategies, and Applications

no code implementations18 May 2014 Mohammad Abu Alsheikh, Shaowei Lin, Dusit Niyato, Hwee-Pink Tan

In this paper, we present an extensive literature review over the period 2002-2013 of machine learning methods that were used to address common issues in wireless sensor networks (WSNs).

BIG-bench Machine Learning

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