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2020 – today
- 2024
[j6]Osama Elgarhy
, Luca Reggiani, Muhammad Mahtab Alam, Ahmed Zoha, Rizwan Ahmad, Alar Kuusik:
Energy Efficiency and Latency Optimization for IoT URLLC and mMTC Use Cases. IEEE Access 12: 23132-23148 (2024)- [c19]Jakob Rostovski, Mohammad Hasan Ahmadilivani, Andrei Krivosei, Alar Kuusik, Muhammad Mahtab Alam:
Real-Time Gait Anomaly Detection Using 1D-CNN and LSTM. NCDHWS (2) 2024: 260-278 - 2023
- [c18]Mohammad Hasan Ahmadilivani, Jaan Raik, Masoud Daneshtalab, Alar Kuusik:
Analysis and Improvement of Resilience for Long Short-Term Memory Neural Networks. DFT 2023: 1-4 - [c17]Aram Satouf, Ali Hamidoglu, Omer Melih Gul, Alar Kuusik:
Grey Wolf Optimizer-based Task Scheduling for IoT-based Applications in the Edge Computing. FMEC 2023: 52-57 - [c16]Aleksei Fjodorov, Sander Ulp, Muhammad Mahtab Alam, Alar Kuusik:
Inertial and positioning sensors fusion for indirect location tracking in warehouse inventory management. ICCAD 2023: 1-7 - [c15]Jakob Rostovski, Andrei Krivosei, Alar Kuusik, Muhammad Mahtab Alam, Ulvi Ahmadov:
Real-Time Gait Anomaly Detection Using SVM Time Series Classification. IWCMC 2023: 1389-1394 - [c14]Branislav Gerazov, Elena Hadjieva, Andrei Krivosei, Fiorella Ines Soto Sanchez, Jakob Rostovski, Alar Kuusik, Muhammad Mahtab Alam:
Matrix Profile based Anomaly Detection in Streaming Gait Data for Fall Prevention. IWSSIP 2023: 1-5 - 2021
- [j5]Sikandar M. Zulqarnain Khan, Muhammad Mahtab Alam, Yannick Le Moullec, Alar Kuusik, Sven Pärand, Christos V. Verikoukis:
An Empirical Modeling for the Baseline Energy Consumption of an NB-IoT Radio Transceiver. IEEE Internet Things J. 8(19): 14756-14772 (2021) - [c13]Jakob Rostovski, Andrei Krivosei, Alar Kuusik, Ulvi Ahmadov, Muhammad Mahtab Alam:
SVM Time Series Classification of Selected Gait Abnormalities. BODYNETS 2021: 195-209 - 2020
- [j4]Abdul Saboor, Triin Kask, Alar Kuusik, Muhammad Mahtab Alam, Yannick Le Moullec, Imran Khan Niazi, Ahmed Zoha, Rizwan Ahmad:
Latest Research Trends in Gait Analysis Using Wearable Sensors and Machine Learning: A Systematic Review. IEEE Access 8: 167830-167864 (2020) - [c12]Leonidas Tsiopoulos, Alar Kuusik, Jüri Vain, Hayretdin Bahsi:
Model-Based Analysis of Secure and Patient-Dependent Pacemaker Monitoring System. BODYNETS 2020: 77-91
2010 – 2019
- 2019
- [c11]Rida Khan, Muhammad Mahtab Alam, Alar Kuusik:
Channel Prediction based Enhanced Throughput and Channel Aware MAC in SmartBAN Standard. ISWCS 2019: 463-468 - [c10]Hassan Malik, Sikandar M. Zulqarnain Khan, Jeffrey Leonel Redondo Sarmiento, Alar Kuusik, Muhammad Mahtab Alam, Yannick Le Moullec, Sven Pärand:
NB-IoT Network Field Trial: Indoor, Outdoor and Underground Coverage Campaign. IWCMC 2019: 537-542 - 2018
- [j3]Hassan Malik, Haris Pervaiz, Muhammad Mahtab Alam, Yannick Le Moullec, Alar Kuusik, Muhammad Ali Imran:
Radio Resource Management Scheme in NB-IoT Systems. IEEE Access 6: 15051-15064 (2018) - [j2]Muhammad Mahtab Alam, Hassan Malik, Muhidul Islam Khan, Tamas Pardy, Alar Kuusik, Yannick Le Moullec:
A Survey on the Roles of Communication Technologies in IoT-Based Personalized Healthcare Applications. IEEE Access 6: 36611-36631 (2018) - [j1]Asko Ristolainen, Kaia Kalev, Jeffrey Andrew Tuhtan, Alar Kuusik, Maarja Kruusmaa:
Hydromorphological Classification Using Synchronous Pressure and Inertial Sensing. IEEE Trans. Geosci. Remote. Sens. 56(6): 3222-3232 (2018) - [c9]Hassan Malik, Muhammad Mahtab Alam, Yannick Le Moullec, Alar Kuusik:
NarrowBand-IoT Performance Analysis for Healthcare Applications. ANT/SEIT 2018: 1077-1083 - [c8]Alar Kuusik, Muhammad Mahtab Alam, Triin Kask, Katrin Gross-Paju:
Wearable m-assessment system for neurological disease patients. WF-IoT 2018: 201-206 - 2016
- [c7]Asko Ristolainen, Jeffrey Andrew Tuhtan, Alar Kuusik, Maarja Kruusmaa:
Hydromast: A Bioinspired Flow Sensor with Accelerometers. Living Machines 2016: 510-517 - 2014
- [c6]Yannick Le Moullec, Yoann Lecat, Paul Annus, Raul Land, Alar Kuusik, Marko Reidla, Thomas Hollstein, Uljana Reinsalu, Kalle Tammemäe, Priit Ruberg:
A modular 6LoWPAN-based wireless sensor body area network for health-monitoring applications. APSIPA 2014: 1-4 - 2013
- [c5]Sven Nomm, Kristina Vassiljeva, Alar Kuusik:
Human Limb Model Structure Optimization with Genetic Algorithm. EMS 2013: 132-137 - 2012
- [c4]Enar Reilent, Alar Kuusik, Madis Puju:
Real-time data streaming for functionally improved eHealth solutions. BHI 2012: 140-143 - [c3]Sven Nõmm, Alar Kuusik, Sergei Ovsjanski, Ines Malmberg, Marko Parve, L. Orunurm:
Neural Networks Based System for the Supervision of Therapeutic Exercises. ICONIP (4) 2012: 364-371
2000 – 2009
- 2008
- [c2]Tanel Tammet, Jüri Vain, Andres Puusepp, Enar Reilent, Alar Kuusik:
RFID-based Communications for a Self-Organising Robot Swarm. SASO 2008: 45-54 - 2007
- [c1]Toivo Paavle, Paul Annus, Alar Kuusik, Raul Land, Mart Min:
Bioimpedance monitoring with improved accuracy using three-level stimulus. ECCTD 2007: 412-415
Coauthor Index
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