G. Wüst, The major deep-sea expeditions and research vessels 1873-1960: A contribution to the history of oceanography, Prog. Oceanogr, vol.2, pp.1-52, 1964.

M. Marcelli, V. Piermattei, and G. Zappalà, Advances in low cost marine technologies, WIT Trans. Mod. Sim, vol.51, pp.497-507, 2011.

R. Venkatesan, K. Ramesh, A. Kishor, N. Vedachalam, and M. A. Atmanand, Best Practices for the Ocean Moored Observatories, Front. Mar. Sci, vol.5, p.469, 2018.

A. Meindl, Guide to Moored Buoys and Other Ocean Data Acquisition Systems; WMO & IOC Data Buoy Cooperation Panel, p.25, 1996.

Y. Hello, J. Y. Royer, D. Rivet, P. Charvis, M. Yegikyan et al., New Versatile Autonomous Platforms for Long-Term Geophysical Monitoring in the Ocean, Proceedings of the OCEANS 2019, p.14, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02398790

G. K. Devi, B. Ganasri, and G. Dwarakish, Applications of Remote Sensing in Satellite Oceanography: A Review, Proceedings of the International Conference on Water Resources, Coastal and Ocean Engineering (ICWRCOE'15), pp.579-584, 2015.

W. J. Gould, From Swallow floats to Argo-the development of neutrally buoyant floats, Deep Sea Research Part II: Topical Studies in Oceanography, vol.52, p.25, 2005.

R. E. Davis, L. A. Regier, J. Dufour, and D. C. Webb, The Autonomous Lagrangian Circulation Explorer (ALACE)

, J. Atmos. Oceanic Technol, vol.9, pp.264-285, 1992.

J. Manley and S. Willcox, The Wave Glider: A New Concept for Deploying Ocean Instrumentation, IEEE Instrum. Meas. Mag, vol.13, pp.8-13, 2010.

D. Roemmich, G. Johnson, S. Riser, R. Davis, J. Gilson et al., The Argo Program Observing the Global Ocean with Profiling Floats, vol.22, pp.34-43, 2009.

H. Matsumoto, C. Jones, H. Klinck, D. K. Mellinger, R. P. Dziak et al., Tracking beaked whales with a passive acoustic profiler float, J. Acoust. Soc. Am, vol.133, pp.731-740, 2013.

S. C. Riser, J. A. Nystuen, and A. Rogers, Monsoon effects in the Bay of Bengal inferred from profiling float-based measurements of wind speed and rainfall, Limnol. Oceanogr, vol.53, pp.2080-2093, 2008.

J. Yang, S. Riser, J. Nystuen, W. Asher, and A. Jessup, Regional Rainfall Measurements Using the Passive Aquatic Listener During the SPURS Field Campaign, vol.28, pp.124-133, 2015.

A. Sukhovich, S. Bonnieux, Y. Hello, J. O. Irisson, F. J. Simons et al., Seismic monitoring in the oceans by autonomous floats, Nat. Commun, vol.6, 2015.
URL : https://hal.archives-ouvertes.fr/insu-01235776

M. Fowler, Domain Specific Languages, 2010.

S. Bonnieux, S. Mosser, M. Blay-fornarino, Y. Hello, and G. Nolet, Model driven programming of autonomous floats for multidisciplinary monitoring of the oceans, Proceedings of the OCEANS 2019, pp.1-10, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02361275

T. J. Parr and R. W. Quong, ANTLR: A Predicated-LL(k) Parser Generator, Softw. Pract. Exper, vol.25, pp.789-810, 1995.

R. Miles and K. Hamilton, Learning UML 2.0, 2006.

L. Sha, M. H. Klein, and J. B. Goodenough, Rate Monotonic Analysis for Real-Time Systems, Foundations of Real-Time Computing: Scheduling and Resource Management; van Tilborg, pp.129-155, 1991.

B. C. Pierce and D. N. Turner, Local Type Inference. ACM Trans. Program. Lang. Syst, vol.22, pp.1-44, 2000.

C. L. Liu and J. W. Layland, Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment, J. ACM, vol.20, pp.46-61, 1973.

G. Nolet, Y. Hello, S. Van-der-lee, S. Bonnieux, M. J. Ruiz et al., Imaging the Galápagos mantle plume with an unconventional application of floating seismometers, Sci. Rep, 2019.

, Brown Partworks Ltd. Endangered Wildlife and Plants of the World

J. Roman and M. J. , The whale pump: Marine mammals enhance primary productivity in a coastal basin, PLoS ONE, vol.5, 2010.

T. A. Marques, L. Thomas, J. Ward, N. Dimarzio, and P. L. Tyack, Estimating cetacean population density using fixed passive acoustic sensors: An example with Blainville's beaked whales, J. Acoust. Soc. Am, vol.125, 1982.

M. Mcdonald, J. Hildebrand, and S. Mesnick, Biogeographic characterisation of blue whale song worldwide: Using song to identify populations, J. Cetacean Res. Manag, vol.8, pp.55-65, 2006.

P. Nguyen-hong-duc, M. Torteroto, and C. Dorian, Assessing Inter-Annotator Agreement from Collaborative Annotation Campaigns in Marine Bioacoustics, p.25, 2020.

A. Mesaros, T. Heittola, and T. Virtanen, Metrics for Polyphonic Sound Event Detection. Appl. Sci, vol.6, 2016.

T. N. Sainath and C. Parada, Convolutional neural networks for small-footprint keyword spotting, p.25, 2015.

E. Cakir, S. Adavanne, G. Parascandolo, K. Drossos, and T. Virtanen, Convolutional recurrent neural networks for bird audio detection, Proceedings of the 2017 25th European Signal Processing Conference (EUSIPCO), pp.1744-1748, 2017.

O. Mac-aodha, R. Gibb, K. E. Barlow, E. Browning, M. Firman et al., Bat detective-Deep learning tools for bat acoustic signal detection, PLoS Comput. Biol, vol.14, pp.1-19, 2018.

Y. Shiu, K. Palmer, M. Roch, E. Fleishman, X. Liu et al., Deep neural networks for automated detection of marine mammal species, Sci. Rep, vol.10, p.607, 2020.

D. Wang, L. Zhang, Z. Lu, and K. Xu, Large-Scale Whale Call Classification Using Deep Convolutional Neural Network Architectures, Proceedings of the 2018 IEEE International Conference on Signal Processing, pp.1-5, 2018.

S. Liu, M. Liu, M. Wang, T. Ma, and X. Qing, Classification of Cetacean Whistles Based on Convolutional Neural Network, Proceedings of the 2018 10th International Conference on Wireless Communications and Signal Processing, pp.1-5, 2018.

W. Luo, W. Yang, and Y. Zhang, Convolutional neural network for detecting odontocete echolocation clicks, J. Acoust. Soc. Am, vol.145, pp.7-12, 2019.

N. Schaetti, Character-based convolutional neural network and resnet18 for twitter authorprofiling, Proceedings of the Ninth International Conference of the CLEF Association (CLEF 2018), pp.10-14, 2018.

J. Volkmann, S. Stevens, and E. Newman, A Scale for the Measurement of the Psychological Magnitude Pitch, J. Acoust. Soc. Am, 0208.

G. Mussbacher, D. Amyot, R. Breu, J. M. Bruel, B. H. Cheng et al., The Relevance of Model-Driven Engineering Thirty Years from Now, Lecture Notes in Computer Science; MODELS, vol.2014, pp.183-200, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01081848

D. C. Schmidt and . Guest, Editor's Introduction: Model-Driven Engineering, Computer, vol.39, pp.25-31, 2006.

S. Kent, Model Driven Engineering, Proceedings of the IFM '02 Third International Conference on Integrated Formal Methods, pp.286-298, 2002.

N. Navet and L. Fejoz, CPAL: High-level abstractions for safe embedded systems, Proceedings of the International Workshop on Domain-Specific Modeling, 2016.

N. Gobillot, C. Lesire, and D. Doose, A Design and Analysis Methodology for Component-Based Real-Time Architectures of Autonomous Systems, J. Intell. Rob. Syst, pp.1-16, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02467969

M. Voelter, D. Ratiu, B. Schaetz, and B. Kolb, Mbeddr: An Extensible C-Based Programming Language and IDE for Embedded Systems, Proceedings of the SPLASH '12 3rd Annual Conference on Systems, Programming, and Applications: Software for Humanity, pp.121-140, 2012.

A. P. Hill, P. Prince, J. L. Snaddon, C. P. Doncaster, and A. Rogers, AudioMoth: A low-cost acoustic device for monitoring biodiversity and the environment, HardwareX, vol.6, 2019.

A. P. Hill, P. Prince, E. Piña-covarrubias, C. P. Doncaster, J. L. Snaddon et al., Evaluation of a smart open acoustic device for monitoring biodiversity and the environment, Methods Ecol. Evol, vol.9, pp.1199-1211, 2018.

P. Prince, A. Hill, E. Piña-covarrubias, C. Doncaster, J. Snaddon et al., Deploying Acoustic Detection Algorithms on Low-Cost, Open-Source Acoustic Sensors for Environmental Monitoring, Sensors, vol.19, 2019.

M. Kocakulak and I. Butun, An overview of Wireless Sensor Networks towards internet of things, Proceedings of the 2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), pp.1-6, 2017.

L. Atzori, A. Iera, and G. Morabito, The Internet of Things: A survey, Comput. Netw, vol.54, pp.2787-2805, 2010.

C. R. Prause, M. Bibus, C. Dietrich, and W. Jobi, Software product assurance at the German space agency, J. Softw. Evol. Process, vol.28, pp.744-761, 2016.

. Publisher's-note, This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution, MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. c 2020 by the authors. Licensee MDPI