Majed Alwateer

Orcid: 0000-0001-6430-9806

According to our database1, Majed Alwateer authored at least 13 papers between 2016 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Forward Hand Gesture Spotting and Prediction Using HMM-DNN Model.
Informatics, March, 2023

2022
Drones-as-a-service: a simulation-based analysis for on-drone decision-making.
Pers. Ubiquitous Comput., 2022

HANN: Hybrid Attention Neural Network for Detecting Covid-19 Related Rumors.
IEEE Access, 2022

2021
Ambient Healthcare Approach with Hybrid Whale Optimization Algorithm and Naïve Bayes Classifier.
Sensors, 2021

2020
Emerging Drone Services: Challenges and Societal Issues.
IEEE Technol. Soc. Mag., 2020

2019
Drone services: issues in drones for location-based services from human-drone interaction to information processing.
J. Locat. Based Serv., 2019

Enabling Drone Services: Drone Crowdsourcing and Drone Scripting.
IEEE Access, 2019

Decision-Making for Drone Services in Urban Environments: a Simulated Study on Clients' Satisfaction and Profit Maximisation.
Proceedings of the 2019 IEEE SmartWorld, 2019

On-Drone Decision Making for Service Delivery: Concept and Simulation.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

A Two-Layered Task Servicing Model for Drone Services: Overview and Preliminary Results.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

2018
Drone services: An investigation via prototyping and simulation.
Proceedings of the 4th IEEE World Forum on Internet of Things, 2018

2017
Drone Services for Augmenting Mobile User Devices On-Demand: Concept and Prototype.
Proceedings of the 14th EAI International Conference on Mobile and Ubiquitous Systems: Computing, 2017

2016
Virtual Space Boxes and Drone-as-Reference-Station Localisation for Drone Services: an Approach Based on Signal Strengths.
Proceedings of the 2nd Workshop on Micro Aerial Vehicle Networks, 2016


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