Mohammad Shehab

Orcid: 0000-0003-0211-3503

According to our database1, Mohammad Shehab authored at least 46 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Traffic Learning and Proactive UAV Trajectory Planning for Data Uplink in Markovian IoT Models.
IEEE Internet Things J., April, 2024

Improved Black Widow Optimization: An investigation into enhancing cloud task scheduling efficiency.
Sustain. Comput. Informatics Syst., January, 2024

A Multi-Task Oriented Semantic Communication Framework for Autonomous Vehicles.
CoRR, 2024

Conservative and Risk-Aware Offline Multi-Agent Reinforcement Learning for Digital Twins.
CoRR, 2024

2023
Statistical Tools and Methodologies for Ultrareliable Low-Latency Communication - A Tutorial.
Proc. IEEE, November, 2023

Multi-UAV Path Learning for Age and Power Optimization in IoT With UAV Battery Recharge.
IEEE Trans. Veh. Technol., April, 2023

Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approach.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

Meta-Learning Based Few Pilots Demodulation and Interference Cancellation For NOMA Uplink.
Proceedings of the 2023 Joint European Conference on Networks and Communications & 6G Summit, 2023

2022
Opposition-based learning multi-verse optimizer with disruption operator for optimization problems.
Soft Comput., 2022

Improved linear density technique for segmentation in Arabic handwritten text recognition.
Multim. Tools Appl., 2022

Minimization of the Worst Case Average Energy Consumption in UAV-Assisted IoT Networks.
IEEE Internet Things J., 2022

Effective Energy Efficiency and Statistical QoS Provisioning Under Markovian Arrivals and Finite Blocklength Regime.
IEEE Internet Things J., 2022

Traffic Prediction and Fast Uplink for Hidden Markov IoT Models.
IEEE Internet Things J., 2022

A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory.
IEEE Internet Things J., 2022

Selection scheme sensitivity for a hybrid Salp Swarm Algorithm: analysis and applications.
Eng. Comput., 2022

Statistical Tools and Methodologies for URLLC - A Tutorial.
CoRR, 2022

Machine learning in medical applications: A review of state-of-the-art methods.
Comput. Biol. Medicine, 2022

Black hole algorithm: A comprehensive survey.
Appl. Intell., 2022

Improved Gradient-Based Optimizer for solving real-world engineering problems.
Proceedings of the 4th IEEE Middle East and North Africa COMMunications Conference, 2022

A Learning-Based Trajectory Planning of Multiple UAVs for AoI Minimization in IoT Networks.
Proceedings of the 2022 Joint European Conference on Networks and Communications & 6G Summit, 2022

2021
Dragonfly algorithm: a comprehensive survey of its results, variants, and applications.
Multim. Tools Appl., 2021

A parallel hybrid krill herd algorithm for feature selection.
Int. J. Mach. Learn. Cybern., 2021

Effective Energy Efficiency of Ultrareliable Low-Latency Communication.
IEEE Internet Things J., 2021

Enhanced a hybrid moth-flame optimization algorithm using new selection schemes.
Eng. Comput., 2021

Effective Energy Efficiency of Ultra-reliable Low Latency Communication.
CoRR, 2021

2020
Artificial Intelligence in Diffusion MRI - Enhanced Cuckoo Search Algorithm with Metaheuristic Components for Extracting the Maxima of the Orientation Distribution Function
Studies in Computational Intelligence 877, Springer, ISBN: 978-3-030-36082-5, 2020

Moth-flame optimization algorithm: variants and applications.
Neural Comput. Appl., 2020

Salp swarm algorithm: a comprehensive survey.
Neural Comput. Appl., 2020

(AIAM2019) Artificial Intelligence in Software Engineering and inverse: Review.
Int. J. Comput. Integr. Manuf., 2020

Ultra Reliable Communication via Optimum Power Allocation for HARQ Retransmission Schemes.
IEEE Access, 2020

Traffic Prediction Based Fast Uplink Grant for Massive IoT.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Six Key Features of Machine Type Communication in 6G.
Proceedings of the 2nd 6G Wireless Summit, 2020

2019
Effective Capacity and Power Allocation for Machine-Type Communication.
IEEE Trans. Veh. Technol., 2019

Hybridizing cuckoo search algorithm with bat algorithm for global numerical optimization.
J. Supercomput., 2019

Hybridising cuckoo search algorithm for extracting the ODF maxima in spherical harmonic representation.
Int. J. Bio Inspired Comput., 2019

Six Key Enablers for Machine Type Communication in 6G.
CoRR, 2019

Performance of Non-orthogonal Multiple Access under Finite Blocklength.
CoRR, 2019

On the performance of non-orthogonal multiple access in the finite blocklength regime.
Ad Hoc Networks, 2019

Fixed Rate Statistical QoS Provisioning for Markovian Sources in Machine Type Communication.
Proceedings of the 16th International Symposium on Wireless Communication Systems, 2019

2018
Statistical QoS provisioning for MTC networks under finite blocklength.
EURASIP J. Wirel. Commun. Netw., 2018

Ultra reliable communication via opportunistic ARQ transmission in cognitive networks.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

Optimum Transmission Rate in Fading Channels with Markovian Sources and QoS Constraints.
Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018

2017
A survey on applications and variants of the cuckoo search algorithm.
Appl. Soft Comput., 2017

On the effective energy efficiency of ultra-reliable networks in the finite blocklength regime.
Proceedings of the 2017 International Symposium on Wireless Communication Systems, 2017

On the effective capacity of MTC networks in the finite blocklength regime.
Proceedings of the 2017 European Conference on Networks and Communications, 2017

Ultra reliable communication via CC-HARQ in finite block-length.
Proceedings of the 2017 European Conference on Networks and Communications, 2017


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