Theo dõi
Daniel Gutiérrez Reina
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
A survey on probabilistic broadcast schemes for wireless ad hoc networks
DG Reina, SL Toral, P Johnson, F Barrero
Ad Hoc Networks 25, 263-292, 2015
2102015
Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning
AA Nancy, D Ravindran, PMD Raj Vincent, K Srinivasan, ...
Electronics 11 (15), 2292, 2022
2022022
A distributed PSO-based exploration algorithm for a UAV network assisting a disaster scenario
J Sánchez-García, DG Reina, SL Toral
Future Generation Computer Systems 90, 129-148, 2019
1842019
A survey on multihop ad hoc networks for disaster response scenarios
DG Reina, M Askalani, SL Toral, F Barrero, E Asimakopoulou, N Bessis
International Journal of Distributed Sensor Networks 11 (10), 647037, 2015
1742015
A survey on unmanned aerial and aquatic vehicle multi-hop networks: Wireless communications, evaluation tools and applications
J Sánchez-García, JM García-Campos, M Arzamendia, DG Reina, ...
Computer Communications 119, 43-65, 2018
1412018
Covid-19: Open-data resources for monitoring, modeling, and forecasting the epidemic
T Alamo, DG Reina, M Mammarella, A Abella
Electronics 9 (5), 827, 2020
1352020
The role of ad hoc networks in the internet of things: A case scenario for smart environments
DG Reina, SL Toral, F Barrero, N Bessis, E Asimakopoulou
Internet of things and inter-cooperative computational technologies for …, 2013
1282013
Neural-blockchain-based ultrareliable caching for edge-enabled UAV networks
V Sharma, I You, DNK Jayakody, DG Reina, KKR Choo
IEEE Transactions on Industrial Informatics 15 (10), 5723-5736, 2019
1132019
Emotion AI-driven sentiment analysis: A survey, future research directions, and open issues
P Chakriswaran, DR Vincent, K Srinivasan, V Sharma, CY Chang, ...
Applied Sciences 9 (24), 5462, 2019
992019
Multi-subpopulation evolutionary algorithms for coverage deployment of UAV-networks
DG Reina, H Tawfik, SL Toral
Ad Hoc Networks 68, 16-32, 2018
882018
An evolutionary approach to constrained path planning of an autonomous surface vehicle for maximizing the covered area of Ypacarai Lake
M Arzamendia, D Gregor, DG Reina, SL Toral
Soft Computing 23, 1723-1734, 2019
832019
A multiagent deep reinforcement learning approach for path planning in autonomous surface vehicles: The Ypacaraí lake patrolling case
SY Luis, DG Reina, SLT Marín
IEEE access 9, 17084-17099, 2021
78*2021
An intelligent strategy for tactical movements of UAVs in disaster scenarios
J Sánchez-García, JM García-Campos, SL Toral, DG Reina, F Barrero
International journal of distributed sensor networks 12 (3), 8132812, 2016
692016
Evaluation of ad hoc networks in disaster scenarios
DG Reina, SL Toral, F Barrero, N Bessis, E Asimakopoulou
2011 third international conference on intelligent networking and …, 2011
682011
A comparison of local path planning techniques of autonomous surface vehicles for monitoring applications: The ypacarai lake case-study
F Peralta, M Arzamendia, D Gregor, DG Reina, S Toral
Sensors 20 (5), 1488, 2020
652020
Modelling and assessing ad hoc networks in disaster scenarios
DG Reina, SL Toral, F Barrero, N Bessis, E Asimakopoulou
Journal of Ambient Intelligence and Humanized Computing 4, 571-579, 2013
622013
Hybrid flooding scheme for mobile ad hoc networks
DG Reina, SL Toral, P Jonhson, F Barrero
IEEE Communications Letters 17 (3), 592-595, 2013
622013
An evolutionary computation approach for optimizing connectivity in disaster response scenarios
DG Reina, SLT Marin, N Bessis, F Barrero, E Asimakopoulou
Applied Soft Computing 13 (2), 833-845, 2013
612013
GreeAODV: An energy efficient routing protocol for vehicular ad hoc networks
T Baker, JM García-Campos, DG Reina, S Toral, H Tawfik, D Al-Jumeily, ...
Intelligent Computing Methodologies: 14th International Conference, ICIC …, 2018
602018
A deep reinforcement learning approach for the patrolling problem of water resources through autonomous surface vehicles: The ypacarai lake case
SY Luis, DG Reina, SLT Marín
IEEE Access 8, 204076-204093, 2020
562020
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