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Pathological findings in a rare mass stranding of Melon-Headed Whales (Peponocephala electra) in Florida
Title
Pathological findings in a rare mass stranding of Melon-Headed Whales (Peponocephala electra) in Florida.
Creator
Bossart, Gregory D., Hansen, Larry J., Goldstein, Juli D., Kilpatrick, David, Bechdel, Sarah E., Howells, Elisabeth M., Kroell, Kenny, de Sieyes, Malcolm, Stolen, Megan K., Durden, Wendy N., Reif, John S., Defran, R. H., McCulloch, Stephen D., Harbor Branch Oceanographic Institute
Date Issued
2007
PURL
http://purl.flvc.org/FCLA/DT/1925747
Subject Headings
Whales --Stranding, Peponocephala electra, Whales--Florida, Pathology
Format
Document (PDF)
Cardiomyopathy and myocardial degeneration in stranded Pygmy (Kogia breviceps) and Dwarf (Kogia sima) Sperm Whales
Title
Cardiomyopathy and myocardial degeneration in stranded Pygmy (Kogia breviceps) and Dwarf (Kogia sima) Sperm Whales.
Creator
Bossart, Gregory D., Hensley, George, Goldstein, Juli D., Kroell, Kenny, Manire, Charles A., Defran, R. H., Reif, John S., Harbor Branch Oceanographic Institute
Date Issued
2007
PURL
http://purl.flvc.org/FCLA/DT/1925740
Subject Headings
Cardiomyopathy, Myocardium--Diseases, Pygmy sperm whale, Dwarf sperm whale
Format
Document (PDF)
Cross-reactivity between immunoglobulin G antibodies of whales and dolphins correlates with evolutionary distance
Title
Cross-reactivity between immunoglobulin G antibodies of whales and dolphins correlates with evolutionary distance.
Creator
Nollens, H. H., Ruiz, C., Walsh, M. T., Gulland, F. M. D., Bossart, Gregory D., Jensen, Eric D., McBain, J. F., Wellehan, J. F. X., Harbor Branch Oceanographic Institute
Date Issued
2008
PURL
http://purl.flvc.org/fau/fd/FA00007248
Subject Headings
Whales, Dolphins, Immunoglobulin G, Antibodies, Cetacea
Format
Document (PDF)
A note on the possibility of identifying Leydig and Sertoli cells byimmunohistochemistry in bowhead whales (Balaena mysticetus)
Title
A note on the possibility of identifying Leydig and Sertoli cells byimmunohistochemistry in bowhead whales (Balaena mysticetus).
Creator
Miller, Debra L., Bossart, Gregory D., Nadji, Mehrdad, Tarpley, Raymond, Roberts, Brenda, O'Hara, Todd M., Harbor Branch Oceanographic Institute
Date Issued
2002
PURL
http://purl.flvc.org/fau/fd/FA00007279
Subject Headings
Leydig cells, Sertoli cells, Balaena mysticetus, Bowhead whale, Immunohistochemistry
Format
Document (PDF)
Cytopathology ofcutaneous viral papillomatosis in the killer whale Orcinus orca
Title
Cytopathology ofcutaneous viral papillomatosis in the killer whale Orcinus orca.
Creator
Bossart, Gregory D., Decker, Susan J., Ewing, Ruth Y., Harbor Branch Oceanographic Institute
Date Issued
2002
PURL
http://purl.flvc.org/fau/fd/FA00007318
Subject Headings
Killer whale, Orcinus orca, Papillomaviruses, Pathology, Cellular, Papilloma
Format
Document (PDF)
Kogia heart dissection manual
Title
Kogia heart dissection manual.
Creator
Hensley, George, Bossart, Gregory D., Ewing, Ruth Y., Varela, Rene A., Murdoch, M. Elizabeth, Heym, Kathy, Kroell, Kenny, Howells, Elisabeth M., Hensley, Linda, McCulloch, Stephen D.
Date Issued
2005-10
PURL
http://purl.flvc.org/fcla/dt/3359272
Subject Headings
Dissection--Methods--Laboratory manuals, Kogia, Pygmy sperm whale, Heart--Dissection
Format
Document (PDF)
Beaked whale auditory evoked potential hearing measurements
Title
Beaked whale auditory evoked potential hearing measurements.
Creator
Cook, Mandy L. H., Varela, Rene A., Goldstein, Juli D., McCulloch, Stephen D., Bossart, Gregory D., Finneran, James J., Houser, Dorian, Mann, David A., Harbor Branch Oceanographic Institute
Date Issued
2006
PURL
http://purl.flvc.org/FCLA/DT/2796070
Subject Headings
Beaked whales, Sonar, Auditory Perception --physiology, Marine animals --Vocalization, Echolocation (Physiology)
Format
Document (PDF)
Population genetic structure and evolutionary history of North Atlantic beluga whales (Delphinapterus leucas) from West Greenland, Svalbard and the White Sea
Title
Population genetic structure and evolutionary history of North Atlantic beluga whales (Delphinapterus leucas) from West Greenland, Svalbard and the White Sea.
Creator
O'Corry-Crowe, Gregory, Lydersen, C., Heide-Jørgensen, M. P., Hansen, Lauren, Mukhametov, L. M., Dove, O., Kovacs, K. M., Harbor Branch Oceanographic Institute
Date Issued
2010
PURL
http://purl.flvc.org/FCLA/DT/3166887
Subject Headings
Beluga, White whale --Baffin Bay (North Atlantic Ocean), Microsatellites (Genetics), Nucleotide sequence, Bayesian statistical decision theory
Format
Document (PDF)
MULTI-MODEL DEEP LEARNING FOR GROUPER SOUND CLASSIFICATION AND SEIZURE PREDICTION
Title
MULTI-MODEL DEEP LEARNING FOR GROUPER SOUND CLASSIFICATION AND SEIZURE PREDICTION.
Creator
Ibrahim, Ali K., Zhuang, Hanqi, Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, College of Engineering and Computer Science
Abstract/Description
Deep learning models have been successfully applied to a variety of machine learning tasks, including image identification, image segmentation, object detection, speaker recognition, natural language processing, bioinformatics and drug discovery, among other things. This dissertation introduces Multi-Model Deep Learning (MMDL), a new ensemble deep learning approach for signal classification and event forecasting. The ultimate goal of the MMDL method is to improve classification and...
Show moreDeep learning models have been successfully applied to a variety of machine learning tasks, including image identification, image segmentation, object detection, speaker recognition, natural language processing, bioinformatics and drug discovery, among other things. This dissertation introduces Multi-Model Deep Learning (MMDL), a new ensemble deep learning approach for signal classification and event forecasting. The ultimate goal of the MMDL method is to improve classification and forecasting performances of individual classifiers by fusing results of participating deep learning models. The performance of such an ensemble model, however, depends heavily on the following two design features. Firstly, the diversity of the participating (or base) deep learning models is crucial. If all base deep learning models produce similar classification results, then combining these results will not provide much improvement. Thus, diversity is considered to be a key design feature of any successful MMDL system. Secondly, the selection of a fusion function, namely, a suitable function to integrate the results of all the base models, is important. In short, building an effective MMDL system is a complex and challenging process which requires deep knowledge of the problem context and a well-defined prediction process. The proposed MMDL method utilizes a bank of Convolutional Neural Networks (CNNs) and Stacked AutoEncoders (SAEs). To reduce the design complexity, a randomized generation process is applied to assign values to hyperparameters of base models. To speed up the training process, new feature extraction procedures which captures time-spatial characteristics of input signals are also explored. The effectiveness of the MMDL method is validated in this dissertation study with three real-world case studies. In the first case study, the MMDL model is applied to classify call types of groupers, an important fishery resource in the Caribbean that produces sounds associated with reproductive behaviors during yearly spawning aggregations. In the second case study, the MMDL model is applied to detect upcalls of North Atlantic Right Whales (NARWs), a type of endangered whales. NARWs use upcalls to communicate among themselves. In the third case study, the MMDL model is modified to predict seizure episodes. In all these cases, the proposed MMDL model outperforms existing state-of-the-art methods.
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Date Issued
2019
PURL
http://purl.flvc.org/fau/fd/FA00013382
Subject Headings
Deep Learning, Machine Learning, Neural networks (Computer science), Groupers, Whales, Vocalization, Animal, Seizures
Format
Document (PDF)