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Mohammed S. Elmusrati
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- affiliation: University of Vaasa, Faculty of Technology, Finland
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2020 – today
- 2024
- [j19]Rasheed Omobolaji Alabi, Mohammed S. Elmusrati, Ilmo Leivo, Alhadi Almangush, Antti A. Mäkitie:
Artificial Intelligence-Driven Radiomics in Head and Neck Cancer: Current Status and Future Prospects. Int. J. Medical Informatics 188: 105464 (2024) - [c32]Mahmoud Elsanhoury, Janne Koljonen, Mohammed Elmusrati, Heidi Kuusniemi:
A Novel Beam-Based Positioning Paradigm Via Opportunistic Signal of Future Massive MIMO LEO Satellite Constellations. ICL-GNSS 2024: 1-5 - 2023
- [j18]Sayawu Yakubu Diaba
, Miadreza Shafie-Khah, Mohammed Elmusrati
Cyber Security in Power Systems Using Meta-Heuristic and Deep Learning Algorithms. IEEE Access 11: 18660-18672 (2023) - [j17]Akpojoto Siemuri
Design and implementation of a wireless CAN module for marine engines using ZigBee protocol. IET Commun. 17(13): 1541-1552 (2023) - [j16]Rasheed Omobolaji Alabi, Anni Sjöblom, Timo Carpén
Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma: A validation of ProgTOOL. Int. J. Medical Informatics 175: 105064 (2023) - [j15]Sayawu Yakubu Diaba
Proposed algorithm for smart grid DDoS detection based on deep learning. Neural Networks 159: 175-184 (2023) - [j14]Sayawu Yakubu Diaba
SCADA securing system using deep learning to prevent cyber infiltration. Neural Networks 165: 321-332 (2023) - [c31]Mahmoud Elsanhoury, Jyri Nieminen, Petri Välisuo, Akpojoto Siemuri, Janne Koljonen, Mohammed S. Elmusrati, Heidi Kuusniemi:
Precise Indoor Positioning System for Mobile Robots via Smoothed UWB/IMU Sensor Fusion. IPIN 2023: 1-6 - [c30]Talal Saleh
5G Communication Infrastructure for Smart Grids: A Protection Use Case. ISGT EUROPE 2023: 1-5 - [c29]Mahmoud Elsanhoury, Jyri Nieminen, Petri Välisuo, Akpojoto Siemuri, Janne Koljonen, Mohammed S. Elmusrati, Heidi Kuusniemi:
Indoor Asset Tracking in Dense Industrial Environments Using Low-cost Wireless Technologies. WIPHAL 2023 - [i4]Marcelo Godoy Simões
Enhancing data security against cyberattacks in artificial intelligence based smartgrid systems with crypto agility. CoRR abs/2305.11652 (2023) - 2022
- [j13]Mahmoud Elsanhoury
Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review. IEEE Access 10: 44413-44445 (2022) - [j12]Fabricio dos Santos Prol, Ruben Morales Ferre
Position, Navigation, and Timing (PNT) Through Low Earth Orbit (LEO) Satellites: A Survey on Current Status, Challenges, and Opportunities. IEEE Access 10: 83971-84002 (2022) - [j11]Rasheed Omobolaji Alabi, Alhadi Almangush, Mohammed S. Elmusrati
An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer. Int. J. Medical Informatics 168: 104896 (2022) - [j10]Sayawu Yakubu Diaba, Miadreza Shafie-khah, Mohammed Elmusrati
On the performance metrics for cyber-physical attack detection in smart grid. Soft Comput. 26(23): 13109-13118 (2022) - [j9]Akpojoto Siemuri
A Systematic Review of Machine Learning Techniques for GNSS Use Cases. IEEE Trans. Aerosp. Electron. Syst. 58(6): 5043-5077 (2022) - [j8]Omar Abu-Ella
Achievable rate approximation for massive MIMO with limited number of interfering clients. Telecommun. Syst. 79(4): 463-479 (2022) - 2021
- [j7]Rasheed Omobolaji Alabi, Omar Youssef
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future - A systematic review. Artif. Intell. Medicine 115: 102060 (2021) - [j6]Rasheed Omobolaji Alabi, Antti A. Mäkitie, Matti Pirinen
Comparison of nomogram with machine learning techniques for prediction of overall survival in patients with tongue cancer. Int. J. Medical Informatics 145: 104313 (2021) - [c28]Akpojoto Siemuri, Heidi Kuusniemi, Mohammed S. Elmusrati
Machine Learning Utilization in GNSS - Use Cases, Challenges and Future Applications. ICL-GNSS 2021: 1-6 - 2020
- [j5]Rasheed Omobolaji Alabi, Mohammed Elmusrati
Comparison of supervised machine learning classification techniques in prediction of locoregional recurrences in early oral tongue cancer. Int. J. Medical Informatics 136: 104068 (2020) - [c27]Joel Reijonen, Miljenko Opsenica, Tero Kauppinen, Miika Komu, Jimmy Kjällman, Tomas Mecklin, Eero Hiltunen, Jari Arkko, Timo Simanainen, Mohammed Elmusrati
Benchmarking Q-Learning Methods for Intelligent Network Orchestration in the Edge. 6G SUMMIT 2020: 1-5 - [c26]Wiqar Khan, Matti Keskinen, Asif Raza, Heidi Kuusniemi, Mohammed Elmusrati:
Using Machine Learning for In-Out decision accuracy for venue owner definable services. ICCSPA 2020: 1-6 - [c25]Rasheed Omobolaji Alabi, Tero Vartiainen, Mohammed Elmusrati:
Machine Learning for Prognosis of Oral Cancer: What Are the Ethical Challenges? Tethics 2020: 1-22
2010 – 2019
- 2019
- [c24]Joel Reijonen, Miljenko Opsenica, Roberto Morabito, Miika Komu, Mohammed Elmusrati
Regression Training using Model Parallelism in a Distributed Cloud. DASC/PiCom/DataCom/CyberSciTech 2019: 741-747 - 2018
- [c23]Salma Elkawafi, Abdelhamid Younis, Raed Mesleh, Abdulla Abouda, Ahmed Elbarsha, Mohammed S. Elmusrati
Spatial Modulation or Spatial Multiplexing for mmWave Communications? BROADNETS 2018: 237-246 - 2017
- [j4]Mohammed S. Elmusrati
Symbol-multicast mutual coding for massive MIMO broadcasting. IET Commun. 11(3): 437-443 (2017) - 2016
- [i3]Tobias Glocker, Timo Mantere, Mohammed S. Elmusrati:
A Protocol for a Secure Remote Keyless Entry System Applicable in Vehicles using Symmetric-Key Cryptography. CoRR abs/1612.00993 (2016) - 2015
- [c22]Ahmed Elgargouri, Reino Virrankoski, Mohammed S. Elmusrati
IEC 61850 based smart grid security. ICIT 2015: 2461-2465 - [i2]Mohammed S. Elmusrati:
Towards Green and Infinite Capacity in Wireless Communication Networks: Beyond The Shannon Theorem. CoRR abs/1507.03838 (2015) - 2014
- [c21]Mike Mekkanen, Reino Virrankoski, Mohammed S. Elmusrati
Enhancement of IEC 61850 AS using Vendor-Natural system tool. CCECE 2014: 1-4 - [c20]Mike Mekkanen, Erkki Antila, Reino Virrankoski, Mohammed S. Elmusrati
Using OPNET to Model and Evaluate the MU Performance based on IEC 61850-9-2LE. Complex Adaptive Systems 2014: 72-79 - [c19]Omar Abu-Ella
Optimal Successive Group Decoding to Mitigate Interference in Wireless Systems. DCOSS 2014: 322-326 - [c18]Ruifeng Duan, Mohammed S. Elmusrati
Performance analysis of a cognitive-shared channel with GSC diversity under primary outage probability. ICNC 2014: 83-87 - [c17]Omar Abu-Ella
Capacity Approximation of Massive MIMO with Optimal Successive Group Decoding System. NGMAST 2014: 254-259 - [c16]Omar Abu-Ella
Partial Constrained Group Decoding: A New Interference Mitigation Technique for the Next Generation Networks. NTMS 2014: 1-5 - [i1]Ruifeng Duan, Riku Jäntti, Mohammed S. Elmusrati:
Performance Analysis of Mean Value-Based Power Allocation with Primary User Interference in Spectrum Sharing Systems. CoRR abs/1410.8024 (2014) - 2013
- [c15]Phillip Babatunde Oni, Adeyemi Abel Ajibesin, Ruifeng Duan, Mohammed S. Elmusrati:
Dual Analysis of the Capacity of Spectrum Sharing Cognitive Radio with MRC under Nakagami-m Fading. EW 2013 - 2012
- [c14]Ruifeng Duan, Mohammed S. Elmusrati
Stable transmission for a cognitive-shared channel with rechargeable transmitters. ICC 2012: 4632-4636 - [c13]Mulugeta K. Fikadu
Power allocation in multi-node cooperative network in Rician fading channels. WiMob 2012: 496-501 - 2011
- [c12]Naser Tarhuni, Mohammed S. Elmusrati, Abdulla Abouda:
Two-state discretized transmit power control for ad-hoc sensor networks. ICUMT 2011: 1-6 - [c11]Ruifeng Duan, Mohammed S. Elmusrati
Multi-objective Distributed Power Control for Spectrum-sharing Cognitive Radios. IWCMC 2011: 2070-2075 - 2010
- [c10]Ruifeng Duan, Mohammed S. Elmusrati
Capacity for Spectrum Sharing Cognitive Radios with MRC Diversity at the Secondary Receiver under Asymmetric Fading. GLOBECOM 2010: 1-5 - [c9]Ruifeng Duan, Riku Jäntti
Capacity for Spectrum Sharing Cognitive Radios with MRC Diversity and Imperfect Channel Information from Primary User. GLOBECOM 2010: 1-5 - [c8]Ruifeng Duan, Mohammed S. Elmusrati
Power control for time-varying cognitive radio networks. ICT 2010: 133-137
2000 – 2009
- 2009
- [j3]Mohammed S. Elmusrati
Wireless Systems Performance analysis of random uniform power allocation for wireless networks in Rayleigh fading channels. Eur. Trans. Telecommun. 20(4): 457-462 (2009) - 2008
- [j2]Mohammed S. Elmusrati
Applications of Multi-Objective Optimization Techniques in Radio Resource Scheduling of Cellular Communication Systems. IEEE Trans. Wirel. Commun. 7(1): 343-353 (2008) - 2007
- [j1]Mohammed S. Elmusrati
Multiobjective Distributed Power Control Algorithm for CDMA Wireless Communication Systems. IEEE Trans. Veh. Technol. 56(2): 779-788 (2007) - [c7]Mohammed S. Elmusrati
Performance Analysis of Wireless Deaf CDMA Sensor Networks in Fading Channels. VTC Spring 2007: 189-192 - [c6]Mohammed S. Elmusrati
Random Switched Beamforming for Uplink Wireless Sensor Networks. VTC Spring 2007: 3150-3154 - 2006
- [c5]Naser Tarhuni
Nonlinear Power Control for Asynchronous Fiber-optic CDMA Networks. ICC 2006: 2782-2786 - 2005
- [c4]Naser Tarhuni, Mohammed S. Elmusrati, Timo Korhonen, Edward Mutafungwa:
Multi-access-interference mitigation using power control in optical-CDMA star networks. ICC 2005: 1593-1597 - [c3]Mohammed S. Elmusrati
Distributed Sensor Network Data Fusion Using Image Processing. Systems Communications 2005: 383-388 - 2004
- [c2]Mohammed S. Elmusrati, Heikki N. Koivo:
Influence of smart antenna systems on the performance of radio resource scheduling in CDMA cellular systems. ISWCS 2004: 378-382 - 2003
- [c1]Mohammed S. Elmusrati, Heikki N. Koivo:
Multi-objective distributed power and rate control for wireless communications. ICC 2003: 1838-1842
Coauthor Index
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last updated on 2024-10-07 21:20 CEST by the dblp team
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