Miguel Ángel Luque Nieto Profesor e Investigador ETSIT Málaga

Investigación

ETSIT Málaga


Resumen

Desde que entré a trabajar en la Universidad de Málaga, he participado en diferentes labores de investigación que paso a resumir
brevemente. Siguiendo cada enlace, se amplía información de las diferentes categorías.
  • Grupos de investigación:
    Tratamiento digital de la imagen radiológica (actual), Ingeniería de Comunicaciones (hasta 2019).

  • Proyectos de investigación:
    7 nacionales y 1 autonómico, 2 como Investigador Principal y resto como Investigador.

  • Tesis doctorales:
    4 tesis dirigidas (internacionales) en 2020, 2021, 2023.

  • Publicaciones en revistas:
    17 publicaciones internacionales (Journals). Impacto (JCR):  7 en Q1, 8 en Q2, 2 en Q3.

  • Congresos:
    8 nacionales, 8 internacionales

  • Revisión de artículos:
    148 revisiones sobre 125 manuscritos (hasta 29/feb/2024). Revistas:

    MDPI: Sensors, Journal of Marine Science and Engineering, Applied Sciences, Electronics,

    Remote Sensing, Mathematics, Designs, Energies, Future Internet, Information, Machines,

    Micromachines.

    IEEE: Access, Geoscience and Remote Sensing Letters, Wireless Communications Letters,

    Networking Letters.

    Elsevier: Wireless Personal Communications.


Grupos de Investigación

  • 2019 (jul) - actualidad:
    Tratamiento digital de la imagen radiológica.

    Código: TIC 128 (PAIDI: Plan Andaluz de Investigación Desarrollo e Innovación).

    Responsable: Dr. Enrique Nava Baro (ETSIT, UMA).

    Participación: Investigador. Miembros: 12 (10 doctores, 2 titulados superiores, 1 colaborador).

  • 1998 (ene) - 2019 (jul):
    Ingeniería de Comunicaciones.

    Código: TIC 102 (PAIDI: Plan Andaluz de Investigación Desarrollo e Innovación).

    Responsable: Dr. Carlos Camacho Peñalosa (ETSIT, UMA).

    Participación: Investigador. Miembros: 85 (38 doctores, 9 máster, 32 titulados sup., 6 otros)






Resumen


Proyectos de Investigación

  • 2023 (ene) - 2025 (sep):
    Cámara avanzada 3D para captación optimizada de imágenes submarinas y recarga inalámbrica

    (CAMSUB3D).

    Financiado por Junta de Andalucía. Código: 25046. BDNS 670994: Ayudas a proyectos de I+D+i, en

    régimen de concurrencia competitiva, en el marco del Plan Complementario de Ciencias Marinas y del

    Plan de Recuperación, Transformación y Resiliencia. Convocatoria 2023.

    Investigadores Principales: Miguel Angel Luque Nieto, Alicia Triviño Cabrera
  • 2023 (ene) - 2024 (ene):
    Sistema de teledetección por satélite de ALGAs tóxicas en el litoral de ANDalucía (SALGAND).

    Financiado por CEIMAR (Campus de Excelencia Internacional del MAR). Código: CEI-JD-10.

    Investigador Principal: Miguel Angel Luque Nieto
  • 2021 (sep) - 2024 (sep):
    Enjambres de vehículos submarinos autónomos inspirados por Inteligencia Artificial:

    su momento ha llegado (NAUTILUS).

    Ámbito: Nacional (Ministerio de Ciencia e Innovación). Código: PID2020-112502RB-C42.

    Proyecto coordinado entre las universidades: Politécnica de Madrid (UPM), Málaga (UMA),

    Las Palmas de Gran Canaria (ULPGC) y la UNED.

    Investigadores Principales: UPM: Á. Gutiérrez Martín, S. Zazo Bello; UMA: P. Otero Roth,

    J.M. Vidal Pérez; ULPGC: E. Jiménez Yguácel, I.A. Pérez Álvarez;

    UNED: D. Moreno Salinas, J. Aranda Almansa.

    Participación: Investigador.
  • 2021 (oct) - 2023 (oct):
    Establecimiento de un sistema de predicción de la contaminación por residuos sólidos

    en las costas andaluzas (MEDUSA).

    Ámbito: Autonómico (Junta de Andalucía). Código: UMA20-FEDERJA-030. BDNS: 418876.

    Participación: Investigador (de 5 en total).

    Investigadores Principales: Francisco Criado Aldeanueva, Pablo Otero Roth.
  • 2011 (jul) - 2013 (jul):
    Evaluación automatizada de la calidad de experiencia en redes inalámbricas a partir de

    parámetros objetivos de calidad de servicio.

    Ámbito: Autonómico (Junta de Andalucía). Código: P10-TIC-6897.

    Participación: Investigador (de 8 en total).

    Investigador Principal: Javier Poncela González.
  • 2003 (dic) - 2006 (dic):
    Reflectómetro óptico de seis puertos.

    Ámbito: Estatal (CICYT). Ref: TIC2003-07860.

    Participación: Investigador.

    Investigador Principal: Íñigo Molina Fernández.
  • 2000 (dic) - 2003 (dic):
    Herramientas avanzadas para el diseño de dispositivos y sistemas de comunicaciones ópticas.

    Ámbito: Estatal (CICYT). Ref: TIC2000-1245.

    Participación: Investigador.

    Investigador Principal: Íñigo Molina Fernández.
  • 1996 (jul) - 1999 (jul):
    Diseño, caracterización y modelización de dispositivos microondas/ópticos mediante

    técnicas numéricas.

    Ámbito: Estatal (CICYT). Referencia: TIC96-1072-C04-04.

    Participación: Colaborador.

    Investigador Principal: Íñigo Molina Fernández.

Resumen



Tesis doctorales


4. Muhammad Imran Saleem Machine Learning for Bidirectional Translation between Different Sign and Oral Languages. Director: Miguel Ángel Luque Nieto. Universidad de Málaga, 27 de septiembre de 2023. Tesis

3. Jitander Kumar Pabani Energy-Efficient Routing Protocols for Ad Hoc Underwater Sensor Networks . Directores: Pablo Otero Roth, Miguel Ángel Luque Nieto. Universidad de Málaga, 9 de mayo de 2023. Tesis

2. Muhammad Yousuf Irfan Zia. Cost-effective and Energy-efficient Techniques for Underwater Acoustic Communication Modems. Directores: Pablo Otero Roth, Miguel Ángel Luque Nieto. Universidad de Málaga, 11 de febrero de 2021. Tesis

1. Waheeduddin Hyder. Self-organizing Fast Routing Protocols for Underwater Acoustic Communications Networks. Directores: Pablo Otero Roth, Miguel Ángel Luque Nieto. Universidad de Málaga, 11 de mayo de 2020. Tesis


Miguel Ángel Luque Nieto. Planificaciones TDMA óptimas en redes submarinas de comunicación. Directores: Pablo Otero Roth, Javier Poncela González. Universidad de Málaga, 27 de junio de 2018. Tesis





Resumen


Publicaciones en revistas

17. Abdul Moid Khan; Luque-Nieto, M.-A.; Ali Akbar Siddique. Underwater Efficient Data Routing: Clustering-Travel Salesman Protocol (CTSP). IEEE Access, vol. 12, pp. 26428-26440, 2024 (JCR: Q2). DOI: https://doi.org/10.1109/ACCESS.2024.3367012
16. Otero, P.; Hernández-Romero, A.; Luque-Nieto, M.-A.; Ariza, A. Underwater Positioning System Based on Drifting Buoys and Acoustic Modems. Journal of Marine Science and Engineering (MDPI), 2023, Vol. 11, Issue 4, 682. (JCR: Q1). DOI: https://doi.org/10.3390/jmse11040682
15. Saleem, M.I.; Siddiqui, A.; Noor, S.; Luque-Nieto, M.-A.; Nava-Baro, E. A Machine Learning Based Full Duplex System Supporting Multiple Sign Languages for the Deaf and Mute. Appl. Sci. (MDPI), 13, 3114. Año 2023 (JCR: Q2). DOI: https://doi.org/10.3390/app13053114
14. Saleem, M.I.; Siddiqui, A.; Noor, S.; Luque-Nieto, M.-A.; Otero, P. A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute. Applied Sciences (MDPI), 13, 453. Año 2023 (JCR: Q2). DOI: https://doi.org/10.3390/app13010453
13. Pabani, J.K.; Luque-Nieto, M.-Á.; Hyder, W.; Ariza, A. Energy-Efficient Routing Protocol for Selecting Relay Nodes in Underwater Sensor Networks Based on Fuzzy Analytical Hierarchy Process. Sensors (MDPI) 22, 8930. Año 2022 (JCR: Q2). DOI: https://doi.org/10.3390/s22228930
12. J.K. Pabani, M.-Á. Luque-Nieto, A.A. Laghari and P.Otero. Self-Organized Ad Hoc Mobile (SOAM) Underwater Sensor Networks". IEEE Sensors Journal, vol. 23, no. 2, pp. 1635-1644. Año 2023 (JCR:Q1). DOI: https://doi.org/10.1109/JSEN.2022.3224993
11. Khan, A.Y., Luque-Nieto, MÁ., Batool, S., Ahmed, H., Saeed, A.H., Asif, Z. SOS Application Under Android: Help Pro. Wireless Personal Communications (Elsevier). Año 2022 (JCR: Q3), pp.1-16. DOI: https://doi.org/10.1007/s11277-022-09985-4
10. Pabani, J.K.; Luque-Nieto, M.-Á.; Hyder, W.; Otero, P. Energy-Efficient Packet Forwarding Scheme Based on Fuzzy Decision-Making in Underwater Sensor Networks. Sensors (MDPI), eISSN: 1424-8220. Año 2021 (JCR: Q1). DOI: https://doi.org/10.3390/s21134368
9. Zia, M.Y.I.; Tierno, R.; Luque-Nieto, M.-Á.; Otero, P. An Energy-Efficient Integration of a Digital Modulator and a Class-D Amplifier. Electronics (MDPI), eISSN: 2079-9292. Año 2020 (JCR: Q2). DOI: http://dx.doi.org/10.3390/electronics9081319
8. Waheeduddin Hyder, Miguel-Ángel Luque-Nieto, Javier Poncela, and Pablo Otero Self-Organized Proactive Routing Protocol for Non-Uniformly Deployed Underwater Networks. Sensors (MDPI), ISSN: 1424-8220. Año 2019 (JCR: Q1). DOI: http://dx.doi.org/10.3390/s19245487
7. Sateesh Kumar Hindu, Waheeduddin Hyder, Miguel-Angel Luque-Nieto, Javier Poncela, and Pablo Otero Self-Organizing and Scalable Routing Protocol (SOSRP) for Underwater Acoustic Sensor Networks. Sensors (MDPI), ISSN: 1424-8220. Año 2019 (JCR: Q1). DOI: http://dx.doi.org/10.3390/s19143130
6. Waheeduddin Hyder, Javier Poncela, Miguel-Angel Luque and Pablo Otero. Self-Organized Fast Routing Protocol for Radial Underwater Networks. Sensors (MDPI), ISSN: 1424-8220. Año 2018 (JCR: Q1). DOI: http://dx.doi.org/10.3390/s18124178
5. Miguel-Ángel Luque-Nieto, José-Miguel Moreno-Roldán, Pablo Otero and Javier Poncela. Optimal Scheduling and Fair Service Policy for STDMA in Underwater Networks with Acoustic Communications. Sensors (MDPI), ISSN: 1424-8220. Año 2018 (JCR: Q1). DOI: http://dx.doi.org/10.3390/s18020612
4. J.M. Moreno-Roldán, M.A. Luque-Nieto, J. Poncela y P. Otero. Objective video quality assessment based on machine learning for underwater scientific applications. Sensors (MDPI), ISSN: 1424-8220. Año 2017 (JCR: Q2). DOI: http://dx.doi.org/10.3390/s17040664
3. M.A. Luque-Nieto, J.M. Moreno-Roldán, J. Poncela y P. Otero. Optimal fair scheduling in S-TDMA sensor networks for monitoring river plumes. Journal of Sensors (MDPI), ISSN: 1687-725X. Año 2016 (JCR: Q2). DOI: http://dx.doi.org/10.1155/2016/8671516
2. J.M. Moreno-Roldán, M.A. Luque-Nieto, J. Poncela, V. Díaz-del-Río y P. Otero Subjective quality assessment of underwater video for scientific applications. Sensors (MDPI), ISSN: 1424-8220. Año 2015 (JCR: Q1). DOI: http://dx.doi.org/10.3390/s151229882
1. J.G. Wangüemert-Pérez, I. Molina-Fernández, M.A. Luque-Nieto A Novel Fourier Based 3D-Full Vectorial Beam Propagation Method. Optical and Quantum Electronics (Springer), ISSN: 0306-8919. Año 2004 (JCR: Q2). DOI: http://dx.doi.org/10.1023/B:OQEL.0000015646.76059.58


Congresos

Internacionales

8. 2020-09. Muhammad Karam Shehzad; Syed Ali Hassan; Miguel-Angel Luque-Nieto; Javier Poncela; Haejoon Jung. Energy Efficient Placement of UAVs in Wireless Backhaul Networks. 2nd Workshop on Drone Assisted Wireless Communications for 5G and Beyond (DroneCom 2020), in congress ACM MobiCom 2020. Factor de Impacto:A+ (Fuente: Core Portal, “Computer Research and Education”). Organizador: ACM (Association for Computing Machinery). DOI: https://doi.org/10.1145/3414045.3415936.London (UK), 2020, September 25th.
7. 2019-10. Sateesh Kumar Hindu; Jitander Kumar Pabani; Miguel-Angel Luque-Nieto; Javier Poncela; Pablo Otero. Multihop based Scalable Routing Protocol (MSRP) for Underwater Acoustic Sensor Networks. II Congreso Internacional de Jóvenes Investigadores del Mar (JIS del Mar). Organizadores: CEIMAR (Campus de Excelencia Internacional del MAR), UMA (Universidad de Málaga). Málaga (Spain), 2019, October 1-4.
6. 2017-03. J.M. Moreno-Roldán, M.Á. Luque-Nieto, P. Otero y J. Poncela. Challenges in video quality assessment for underwater wireless sensor networks. Proc. 4th Int. Conf. on Computing for Sustainable Global Development (INDIACom), New Delhi (India). 2017, March 1-3.
5. 2015-09. J.M. Moreno-Roldán, M.Á. Luque-Nieto, P. Otero, J. Poncela, L.M. Fernández-Salas, V. Díaz-del-Río. Real-time monitoring of underwater environments (Monitorización de entornos submarinos en tiempo real). Actas del VII Simposio Margen Ibérico Atlántico MIA15, pp. 49-52. Málaga (Spain). 2015, September 21-23.
4. 2015-03. M.Á. Luque-Nieto, J.M. Moreno-Roldán, J. Poncela y P. Otero. Reliable Transmissions in Fair STDMA Underwater Sensor Networks. Proc. 2nd Int. Conf. on Computing for Sustainable Global Development (INDIACom), pp.1285-1289. New Delhi (India). 2015, March 11-13 (ISBN: 978-93-80544-14-4).
3. 2015-03. J.M. Moreno-Roldán, M.Á. Luque-Nieto, V. Díaz-del-Río, P. Otero y J. Poncela. Parametric quality assessment in underwater video. Proc. 2nd Int. Conf. on Computing for Sustainable Global Development (INDIACom),pp.1270-1274. New Delhi (India). 2015, March 11-13 (ISBN: 978-93-80544-14-4).
2. 2003-04. M.A. Luque Nieto, J.G. Wangüemert Pérez, I. Molina Fernández. A Novel Fourier Based 3D-Full Vectorial Beam Propagation Method. Proc.11th International Workshop on Optical Waveguide Theory and Numerical Modelling (OWTNM’03), pp.104. ISBN:80-01-02720-1. Prague (Czech Republic). 2003, April 2-5.
1. 2001-06. M.A. Luque Nieto, J.G. Wangüemert Pérez, I. Molina Fernández. Modal Analysis of an Asymmetric Rib Directional Coupler by an Adaptive Modified Fourier Decomposition Method. Proc. 8th International Symposium on Microwave and Optical Technology (ISMOT’2001),pp.145-148. ISBN: 2-553-00935-6. Montreal (Canada). 2001, June 19-23 (ISBN: 978-93-80544-14-4).

Nacionales

8. 2017-11. M.A. Luque-Nieto, J.M. Moreno-Roldán, J. Poncela, P. Otero. Operación Multihop eficiente en redes Acústicas Submarinas de Sensores con planificación TDMA. Actas del V Congreso Nacional de i+d en Defensa y Seguridad (DESEi+d 2017), pp.1325-1333. ISBN: 978-84-9091-357-4. Organizador: ISDEFE, Ministerio de Defensa. Toledo (Academia de Infantería). 2017, noviembre 22-24.
7. 2016-11. M.A. Luque-Nieto, J.M. Moreno-Roldán, J. Poncela, P. Otero. Análisis de Planificaciones para redes Acústicas Submarinas de Sensores con Topología Lineal. Actas del IV Congreso Nacional de i+d en Defensa y Seguridad (DESEi+d 2016). ISBN: 978-84-946021-3-9. Organizador: Centro Universitario de la Defensa de San Javier (Murcia), Ministerio de Defensa. San Javier (Murcia). 2016, noviembre 16-18.
6. 2015-11. J.M. Moreno-Roldán, M.A. Luque-Nieto, J. Poncela, P. Otero, L.M. Fernández-Salas y V. Díaz-del-Río. Calidad de transmisión de vídeo en redes de comunicaciones submarinas. Actas del III Congreso Nacional de i+d en Defensa y Seguridad (DESEi+d 2015). ISBN: 978-84-944537-0-0. Organizador: Centro Universitario de la Defensa de Marín (Pontevedra), Ministerio de Defensa. Marín (Pontevedra). 2015, noviembre 19-20.
5. 2015-11. M.A. Luque-Nieto, J.M. Moreno-Roldán, J. Poncela, P. Otero, L.M. Fernández-Salas y V. Díaz-del-Río. Planificación S-TDMA en redes submarinas de comunicaciones inalámbrica. Actas del III Congreso Nacional de i+d en Defensa y Seguridad (DESEi+d 2015). ISBN: 978-84-944537-0-0. Organizador: Centro Universitario de la Defensa de Marín (Pontevedra), Ministerio de Defensa. Marín (Pontevedra). 2015, noviembre 19-20.
4. 2005-09. Juan de Dios Santaella Zájara, M.A. Luque Nieto. AWEFESA: Aplicación Web para la Formación, Evaluación y Seguimiento del alumnado. Actas del XX Simposium Nacional de la Unión Científica Internacional de Radio (URSI’2005). ISBN: 84-9705-859-3. Organizador: Universidad Politécnica de Valencia (Campus de Gandía). Gandía (Valencia). 2005, septiembre 14-16.
3. 2003-09. J.G. Wangüemert Pérez, I. Molina Fernández, M.A. Luque Nieto. Validación en situaciones 3D/Vectoriales de una formulación PML del método de propagación del haz. Actas del XVIII Simposium Nacional de la Unión Científica Internacional de Radio (URSI’2003). ISBN: 84-9749-081-9. Organizador: Universidad de La Coruña. La Coruña. 2003, septiembre 10-12.
2. 2001-12. I. Molina Fernández, J.G. Wangüemert Pérez, J. De Oliva Rubio, A. Ortega Moñux, M.A. Luque Nieto, P. Reyes Iglesias. Análisis de estructuras dieléctricas mediante métodos de descomposición adaptativos. Actas del II Encuentro de electromagnetismo computacional. Aracena (Huelva). 2001, diciembre 17-19.
1. 1997-09. M.A. Luque Nieto, J.G. Wangüemert Pérez, I. Molina Fernández. Aplicación de métodos espectrales con transformación de variables a la caracterización de guiaondas ópticas bidimensionales. Actas del XII Simposium Nacional de la Unión Científica Internacional de Radio (URSI’1997). ISBN: 84-89654-03-4. Bilbao. 1997, septiembre 15-17.


Resumen



Revisión de artículos

97. 2023-02. Sergey Pereselkov, Venedikt Kuz’kin, et al. Use of Interference Patterns to Control Sound Field Focusing in Shallow Water. Journal of Marine Science and Engineering (MDPI).
96. 2023-02. Zhuoyi Li, Deshan Chen, Tsz Leung Yip, and Jinfen Zhang. Sparsity Regularization based Real-time Target Recognition for Side Scan Sonar with Embedded GPU. Journal of Marine Science and Engineering (MDPI).
95. 2023-01. Zhenkai Zhang, Shengkai Tian, Yi Yang. Node depth adjustment based target tracking in sparse underwater sensor networks. Journal of Marine Science and Engineering (MDPI).
94. 2023-01. Yukun Hao, Xiaojun Wu, et al. Underwater Reverberation Suppression via Attention and Cepstrum Analysis-guided Network. Journal of Marine Science and Engineering (MDPI).
93. 2023-01. Yeon-Seong Choo, Giyung Choi, et al. Ray-based analysis of subcritical scattering from buried target. Journal of Marine Science and Engineering (MDPI).
92. 2022-12. Taj Rahman, Irfan Ahmad, et al. Performance Evaluation of Routing Protocols for Underwater Wireless Sensor Networks. Journal of Marine Science and Engineering (MDPI).
91. 2022-12. Kaklamanis Eleftherios, et al. Optimal Automatic Wide-Area Discrimination of Fish Shoals from Seafloor Geology with Multi-Spectral Ocean Acoustic Waveguide Remote Sensing in the Gulf of Maine. Remote Sensing(MDPI).
90. 2022-11. Xiangrong Zhang, Yunpeng Li, et al. Multi-source Interactive Stair Attention for Remote Sensing Image Captioning. Remote Sensing (MDPI).
89. 2022-11. Yan Gao, Yue Zhou, et al. Design and Optimization of Multipoint Sampler for Seafloor Sediment Carried by a Deep-Sea Landing Vehicle. Journal of Marine Science and Engineering (MDPI).
88. 2022-11. Heng Jiang, Cuicui Zhang, et al. Recognition of Underwater Materials of Bionic and Natural Fishes based on Blue-green Light. Sensors (MDPI).
87. 2022-10. C.J. Nnonyelu, M. Jiang, J. Lundgren. A Lower Bound on the Estimation Variance of Direction-of-Arrival and Skew Angle of a Bi-axial Velocity Sensor Suffering from Stochastic Loss of Perpendicularity. Sensors (MDPI).
86. 2022-10. Lianyou Jing, Chaofan Dong, et al. Adaptive Modulation and Coding for Underwater Acoustic Communications based on Data-driven Learning Algorithm. Remote Sensing (MDPI).
85. 2022-10. Xiaoteng Zhou, Shihao Yuan, et al. A Performance Comparison of Feature Detectors on Various Layers of Underwater Acoustic Imagery. Journal of Marine Science and Engineering (MDPI).
84. 2022-09. Won-Ki Kim, Ho Seuk Bae, et al. Neural Network-Based Underwater Object Detection off the Coast of the Korean Peninsula. Journal of Marine Science and Engineering (MDPI).
83. 2022-09. Xiangyu Zheng, Wanwei Huang, Hui Li and Guangyuan Li. Research on Generalized Intelligent Routing Technology Based on Graph Neural Network. Electronics (MDPI).
82. 2022-07. Kaizhuang Yan, Yongxian Wang and Wenbin Xiao. A new compression and storage method for high-resolution sound speed profile data based-on dictionary learning. Journal of Marine Science and Engineering (MDPI).
81. 2022-07. Georgios Kallitsis, Vasileios Karyotis, and Symeon Papavassiliou. On the Potential of Enhancing Delay-tolerant Routing Protocols via Age-of-Information. Future Internet (MDPI).
80. 2022-07. Wei Xiong, Zhan Kong, et al. Ship Target Recognition based on Context-enhanced Trajectory. Int. Journal of Geo-Information (MDPI).
79. 2022-07. Wenqiang Yang, Jinzhe Su, et al. A novel hybrid whale optimization algorithm for flexible Job-shop scheduling problem. Machines (MDPI).
78. 2022-07. Yanyun P, Zheyi Hang, et al. Bionic artificial lateral line underwater localization based on neural network method. Journal of Applied Sciences (MDPI).
77. 2022-06. Mengran Liu, Junhao Hu, et al. Sound source localization based on multi-channel cross-correlation weighted beamforming. Micromachines (MDPI).
76. 2022-06. Nan Zhao, Nianmin Yao, et al. Deep Reinforcement Learning Based Time-Domain Interference Alignment Scheduling for Underwater Acoustic Networks. Journal of Marine Science and Engineering (MDPI).
75. 2022-06. Sheng Feng, Xianqian Zhu. A Transformer based Deep learning Network for Underwater Acoustic Target Recognition. IEEE Geoscience and Remote Sensing Letters.
74. 2022-05. Laurent Beaudoin, Loïca Avanthey, et al. Automatically guided selection of a set of underwater calibration images. Journal of Marine Science and Engineering (MDPI).
73. 2022-05. Xuebo Zhang and Peixuan Yang. Back Projection Algorithm for Multireceiver Synthetic Aperture Sonar Based on Two Interpolators. Journal of Marine Science and Engineering (MDPI).
72. 2022-05. Kai Yan, Lanyue Liang, et al. Medium Transmission Map Matters for Learning to Restore Real-world Underwater Images. Journal of Applied Sciences (MDPI).
71. 2022-04. Yuxin Zhao, Hengde Zhao, et al. Marine adaptive sampling scheme design for mobile platforms under different scenarios. Journal of Marine Science and Engineering (MDPI).
70. 2022-04. Iván Rodríguez-Méndez, Jonas Philipp Lüke and Fernando Rosa. MASE: An Instrument Designed to Record Underwater Soundscape. Sensors (MDPI).
69. 2022-04. Mohammad Furqan Ali, Dushantha Nalin K. Jayakody, et al. A Dual–hop Optical Underwater Wireless Relay Communications System. 2022 IEEE 95th Vehicular Technology Conference (VTC2022-Spring).
68. 2022-03. Adriano Frutuoso, Felipe O. Silva and Ettore de Barros. Influence of Integration Schemes and Maneuvers on the Initial Alignment and Calibration of AUVs: Observability and Degree of Observability Analyses. Sensors (MDPI).
67. 2022-03. Mingjie Li, Baoheng Yao, et al. Vertical motion control of an underwater glider with a command filtered adaptive algorithm. Journal of Marine Science and Engineering (MDPI).
66. 2022-03. Yidong Xu, Shengping Zhao, et al. Active Electric Anomaly Detection Method for Underwater Targets Based on Orthonormal Basis Function. Journal of Marine Science and Engineering (MDPI).
65. 2022-02. Domonkos Varga. No-reference video quality assessment using multi-pooled, saliency weighted deep features and decision fusion. Sensors (MDPI).
64. 2022-02. Yuzhi Zhang, Yue Su, Xiaohong Shen, et al. Reinforcement Learning based Relay Selection for Underwater Acoustic Cooperative Networks. Remote Sensing (MDPI).
63. 2022-02.Prakash Mohan, et al. Improved Metaheuristics based Clustering with Multihop Routing Protocol for Underwater Wireless Sensor Networks Optimal relay network for aerial remote inspections. Sensors (MDPI).
62. 2022-01. Rongyan Zhou, et al. Sensor Selection for Optimal Target localization with 3-D Angle of Arrival Estimation in Underwater Wireless Sensor Networks. Journal of Marine Science and Engineering (MDPI).
61. 2021-12. Luis Pinto, Luis Almeida. Optimal relay network for aerial remote inspections. Sensors (MDPI)
60. 2021-12. Qisong Wu, Youhai Xu. A Nonlinear Data-Driven Towed Array Shape Estimation Method Using Passive Underwater Acoustic Data. Remote Sensing (MDPI).
59. 2021-11. Shuang Zhai, Xinyu Yang, et al. Data Aggregation Algorithm Based on Clustering for Wireless Sensor Networks. Sensors (MDPI).
58. 2021-11. Murad, Mohsin; Tasadduq, Imran; Otero Roth, Pablo. Ciphered-BCH Codes for PAPR Reduction of OFDM in Underwater Acoustic Channel. IEEE Access (MDPI).
57. 2021-11. Franck Schoefs, Michael O’Byrne, et al. Fractal Dimension as an Effective Feature for Characterizing Hard Marine Growth Roughness from Underwater Image Processing in Controlled and Uncontrolled Image Environments. Journal of Marine Science and Engineering (MDPI).
56. 2021-10. Orlando Philco, et al. MiA-CODER: A Multi-Intelligent Agent-Enabled Reinforcement Learning for Accurate Coverage Hole Detection and Recovery in Unequal Cluster-Tree-Based QoSensing WSN. J. Applied Sciences (MDPI).
55. 2021-10. Yixin Chen, Carmine Clemente and John J. Soraghan. Partial Fractional Fourier Transform (PFrFT)-MIMO-OFDM for Underwater Acoustic Communication. Information (MDPI).
54. 2021-10. Zhu Fengqin, et al. Average intensity of low-frequency sound and its fluctuations in a shallow sea with a range-dependent random impedance of the liquid bottom. Journal of Applied Sciences (MDPI).
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