Rinat Khusainov

22 papers A 1B 2C 4Misc 1Journal 4Unranked 10
YearRankTypeTitle / Venue / Authors
2024 — conf
Detecting Violent Behaviour on Edge Using Convolutional Neural Networks.
IS
Gelayol Golcarenarenji, Rinat Khusainov, Alexander E. Gegov, Ignacio Martinez-Alpiste
2024 Misc conf
Peer-to-Peer Meets Onion: The Veilid Framework.
CSR
Sven Glatzer, Stavros Shiaeles, Rinat Khusainov, Rahim Taheri
2022 C conf
A Novel Method for Embedding and Extracting Secret Messages in Textual Documents based on Paragraph Resizing.
SECRYPT
Benjamin Aziz, Aysha Bukhelli, Rinat Khusainov, Alaa Mohasseb
2021 C conf
Light Syntax Parsing and Fuzzy Systems for Rhetorical Structure Theory Text Segmentation.
INISTA
Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov
2020 B conf
Conventional and Structure Based Sentiment Analysis: A Survey.
IJCNN
Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov
2018 A conf
Practical Action Recognition with Manifold Regularized Sparse Representations.
BMVC
Lining Zhang, Rinat Khusainov, John Chiverton
2018 — conf
Sharing Driving Between a Vehicle Driver and a Sensor System Using Trust-Factors to Set Control Gains.
IntelliSys (1)
David A. Sanders, Alexander E. Gegov, Giles Eric Tewkesbury, Rinat Khusainov
2016 B conf
Activity Recognition from Video Data Using Spatial and Temporal Features.
Intelligent Environments
Mohamad Al-Wattar, Rinat Khusainov, Djamel Azzi, John Chiverton
2016 C conf
Introducing dead bands within two-dimensional clusters of user data to improve data classification.
HSI
David Adrian Sanders, Jorge Bergasa-Suso, Rinat Khusainov, Alexander E. Gegov, Simon Chester, Nils Bausch
2015 J jnl
Rain granularity effects on bandwidth demand for faded DVB-RCS systems.
Int. J. Satell. Commun. Netw.
Mohamed Al-Mosawi, Rinat Khusainov, Boris Grémont
2014 — conf
A Open Hardware Wireless Sensor Monitoring System for Human Wellbeing Research in Ambient Assisted Living.
S-CUBE
Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov, Ifeyinwa E. Achumba
2014 — conf
Artificial Immune System - A New Approach for the Long-Term Data Monitoring in Ambient Assisted Living.
S-CUBE
Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov
2014 J jnl
Sensor Data Acquisition and Processing Parameters for Human Activity Classification.
Sensors
Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov, Ifeyinwa E. Achumba, Jana Ries
2013 J jnl
Artificial Immune Systems for Anomaly Detection in Ambient Assisted Living Applications.
Int. J. Ambient Comput. Intell.
Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov, Ifeyinwa E. Achumba
2013 J jnl
Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations.
Sensors
Rinat Khusainov, Djamel Azzi, Ifeyinwa E. Achumba, Sebastian D. Bersch
2012 C conf
On time series sensor data segmentation for fall and activity classification.
Healthcom
Ifeyinwa E. Achumba, Sebastin Bersch, Rinat Khusainov, Djamel Azzi, Ugochukwu Kamalu
2011 — conf
Activity detection using frequency analysis and off-the-shelf devices: Fall detection from accelerometer data.
PervasiveHealth
Sebastian D. Bersch, Christian M. J. Chislett, Djamel Azzi, Rinat Khusainov, Jim S. Briggs
2011 — conf
Fall Detection using Biologially Inspired Monitoring - Artificial Immune System in the Area of Assisted Living.
IJCCI (ECTA-FCTA)
Sebastian D. Bersch, Djamel Azzi, Rinat Khusainov
2009 — conf
Email Grouping and Summarization: An Unsupervised Learning Technique.
CSIE (5)
Taiwo Ayodele, Shikun Zhou, Rinat Khusainov
2009 — conf
Email Reply Prediction: A Machine Learning Approach.
HCI (9)
Taiwo Ayodele, Shikun Zhou, Rinat Khusainov
2009 — conf
Email classification: Solution with back propagation technique.
ICITST
Taiwo Ayodele, Shikun Zhou, Rinat Khusainov
2009 — conf
Intelligent email prediction system (IEPS).
ICITST
Taiwo Ayodele, Shikun Zhou, Rinat Khusainov