Email Grouping and Summarization: An Unsupervised Learning Technique. - Taiwo Ayodele; Shikun Zhou; Rinat Khusainov (CSIE (5), 2009)

Email Reply Prediction: A Machine Learning Approach. - Taiwo Ayodele; Shikun Zhou; Rinat Khusainov (HCI (9), 2009)

Email classification: Solution with back propagation technique. - Taiwo Ayodele; Shikun Zhou; Rinat Khusainov (ICITST, 2009)

Intelligent email prediction system (IEPS). - Taiwo Ayodele; Shikun Zhou; Rinat Khusainov (ICITST, 2009)

Fall Detection using Biologially Inspired Monitoring - Artificial Immune System in the Area of Assisted Living. - Sebastian D. Bersch; Djamel Azzi; Rinat Khusainov (IJCCI (ECTA-FCTA), 2011)

Activity detection using frequency analysis and off-the-shelf devices: Fall detection from accelerometer data. - Sebastian D. Bersch; Christian M. J. Chislett; Djamel Azzi; Rinat Khusainov; Jim S. Briggs (PervasiveHealth, 2011)

On time series sensor data segmentation for fall and activity classification. - Ifeyinwa E. Achumba; Sebastin Bersch; Rinat Khusainov; Djamel Azzi; Ugochukwu Kamalu (Healthcom, 2012)

Artificial Immune Systems for Anomaly Detection in Ambient Assisted Living Applications. - Sebastian D. Bersch; Djamel Azzi; Rinat Khusainov; Ifeyinwa E. Achumba (Int. J. Ambient Comput. Intell., 2013)

Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations. - Rinat Khusainov; Djamel Azzi; Ifeyinwa E. Achumba; Sebastian D. Bersch (Sensors, 2013)

Artificial Immune System - A New Approach for the Long-Term Data Monitoring in Ambient Assisted Living. - Sebastian D. Bersch; Djamel Azzi; Rinat Khusainov (S-CUBE, 2014)

A Open Hardware Wireless Sensor Monitoring System for Human Wellbeing Research in Ambient Assisted Living. - Sebastian D. Bersch; Djamel Azzi; Rinat Khusainov; Ifeyinwa E. Achumba (S-CUBE, 2014)

Sensor Data Acquisition and Processing Parameters for Human Activity Classification. - Sebastian D. Bersch; Djamel Azzi; Rinat Khusainov; Ifeyinwa E. Achumba; Jana Ries (Sensors, 2014)

Rain granularity effects on bandwidth demand for faded DVB-RCS systems. - Mohamed Al-Mosawi; Rinat Khusainov; Boris Grémont (Int. J. Satell. Commun. Netw., 2015)

Introducing dead bands within two-dimensional clusters of user data to improve data classification. - David Adrian Sanders; Jorge Bergasa-Suso; Rinat Khusainov; Alexander E. Gegov; Simon Chester; Nils Bausch (HSI, 2016)

Activity Recognition from Video Data Using Spatial and Temporal Features. - Mohamad Al-Wattar; Rinat Khusainov; Djamel Azzi; John Chiverton (Intelligent Environments, 2016)

Practical Action Recognition with Manifold Regularized Sparse Representations. - Lining Zhang; Rinat Khusainov; John Chiverton (BMVC, 2018)

Sharing Driving Between a Vehicle Driver and a Sensor System Using Trust-Factors to Set Control Gains. - David A. Sanders; Alexander E. Gegov; Giles Eric Tewkesbury; Rinat Khusainov (IntelliSys (1), 2018)

Conventional and Structure Based Sentiment Analysis: A Survey. - Omar Ali; Alexander E. Gegov; Ella Haig; Rinat Khusainov (IJCNN, 2020)

Light Syntax Parsing and Fuzzy Systems for Rhetorical Structure Theory Text Segmentation. - Omar Ali; Alexander E. Gegov; Ella Haig; Rinat Khusainov (INISTA, 2021)

A Novel Method for Embedding and Extracting Secret Messages in Textual Documents based on Paragraph Resizing. - Benjamin Aziz; Aysha Bukhelli; Rinat Khusainov; Alaa Mohasseb (SECRYPT, 2022)

Peer-to-Peer Meets Onion: The Veilid Framework. - Sven Glatzer; Stavros Shiaeles; Rinat Khusainov; Rahim Taheri (CSR, 2024)

Detecting Violent Behaviour on Edge Using Convolutional Neural Networks. - Gelayol Golcarenarenji; Rinat Khusainov; Alexander E. Gegov; Ignacio Martinez-Alpiste (IS, 2024)