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Soil Classification Based on Deep Learning Algorithm and Visible Near-Infrared Spectroscopy
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Modeling the advective supply of Calanus finmarchicus to Stellwagen Bank as an indicator of sand lance foraging habitat, and the climate vulnerability of a National Marine Sanctuar...
Published 2025-01-01“…Climate change poses a significant threat to this dynamic, as C. finmarchicus populations are at the southern edge of their subarctic distribution and are vulnerable to warming waters and changing oceanographic conditions. Declines in the advective supply of C. finmarchicus to Stellwagen Bank could adversely affect sand lance populations and, consequently, the ecological and economic resources that depend on them. …”
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Impacts of Water Consumption in the Haihe Plain on the Climate of the Taihang Mountains, North China
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Impact of tropical Cyclone Marcus on ocean subsurface and surface layers
Published 2022-07-01“…The present study investigates the influence of Cyclone Marcus on oceanographic processes in the subsurface and surface layers and its impact on temperature and Chlorophyll-a in the Southeastern Indian Ocean. …”
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Experimental determination of limiting range of vision for underwater laser system
Published 2020-06-01“…The proposed laser systems can find practical application in the fields of oceanographic scientific research, underwater search, and in the equipment of deep-sea vehicles. …”
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HOTSSea v1: a NEMO-based physical Hindcast of the Salish Sea (1980–2018) supporting ecosystem model development
Published 2025-01-01“…<p>Decadal-scale oceanographic, environmental, and ecological changes have been reported in the Salish Sea, an ecologically productive inland sea in the northeast Pacific that supports the economies and cultures of millions of people. …”
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A Novel Mesoscale Eddy Identification Method Using Enhanced Interpolation and A Posteriori Guidance
Published 2025-01-01“…Mesoscale eddies are pivotal oceanographic phenomena affecting marine environments. …”
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An advection-diffusion-reaction size-structured fish population dynamics model combined with a statistical parameter estimation procedure: Application to the Indian Ocean skipjack...
Published 2005-09-01“…The model is fully spatialized, andmovements are parameterized with oceanographical and biologicaldata; thus it naturally reacts to environment changes.We first formulate an initial-boundary valueproblem and prove existence of a unique positive solution. …”
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Delayed onset of ocean acidification in the Gulf of Maine
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Phthalates esters disrupt demersal fish behavior: Unveiling the brain-gut axis impact
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Complex multivariate model predictions for coral diversity with climatic change
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Biogeographic Insights Into the Late Miocene Diversification of the Giant Deep‐Ocean Amphipod Eurythenes
Published 2025-01-01“…The late Miocene to the Pliocene (~23–2.58 Ma) is a period that was marked by significant geological, climatic, and oceanographic changes. This transitional period spurred widespread species diversification, particularly among widely distributed benthic scavengers, such as amphipods. …”
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Novel analytical superposed nonlinear wave structures for the eighth-order (3+1)-dimensional Kac-Wakimoto equation using improved modified extended tanh function method
Published 2024-11-01“…This phenomenon is observed in oceanographic research involving sea surface and internal waves, where intricate multi-dimensional interactions play a crucial role. …”
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Teach Aquaculture Curriculum: Spawning and Rearing Bivalve Molluscs—Spawning
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Teach Aquaculture Curriculum: Spawning and Rearing Bivalve Molluscs—Spawning
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Deep Convolutional Network Based Machine Intelligence Model for Satellite Cloud Image Classification
Published 2023-03-01“…The satellite images are taken from the Meteorological & Oceanographic Satellite Data Archival Centre, the organization is responsible for availing satellite cloud images of India and its subcontinent. …”
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Physics Informed Neural Networks for Modeling Large-Scale Wind Driven Ocean Circulation
Published 2025-01-01“…This approach highlights the potential of the physics informed neural network to address more complex oceanographic models, where conventional numerical methods may be constrained by data availability and computational cost.…”
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