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Systems and methods for obstacle detection using a neural network model, depth maps, and segmentation maps

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Configurable Neural Network Model Depth In Neural Network-Based Video Coding

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SYSTEMS AND METHODS FOR OBSTACLE DETECTION USING A NEURAL NETWORK MODEL, DEPTH MAPS, AND SEGMENTATION MAPS

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How Many Layers and Why? An Analysis of the Model Depth in Transformers

• Authors : Simoulin, Antoine; Crabbé, Benoît;

Subjects: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]Bangkok; Thailand

• Source: Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: ;

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Deep learning-based Alzheimer's disease detection: reproducibility and the effect of modeling choices

• Authors : Rosanna Turrisi; Alessandro Verri; Annalisa Barla

Subjects: deep learning; Alzheimer's disease; data augmentation

• Source: Frontiers in Computational Neuroscience, Vol 18 (2024)

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Production process for diesel fuel components poly(oxymethylene) dimethyl ethers from methane-based products by hierarchical optimization with varying model depth.

• Authors : Burger, Jakob¹ ; Störfer, Eckhard²; Hasse, Hans¹

• Source: Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers Part A. Dec2013, Vol. 91 Issue 12, p2648-2662. 15p.

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Exploration of Stream Habitat Spatial Modeling; Using Geographically Weighted Regression, Ordinary Least Squares Regression, and Natural Neighbor Interpolation to Model Depth, Flow, and Benthic Substrate in Streams

• Authors : Kenneth R. Sheehan

Subjects: Hydrology; Geography; Habitat

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Underestimated Land Heat Uptake Alters the Global Energy Distribution in CMIP6 Climate Models

• Authors : Norman Julius Steinert; Francisco José Cuesta‐Valero; Félix García‐Pereira

Subjects: global heat inventory; land heat uptake; climate change

• Source: Geophysical Research Letters, Vol 51, Iss 10, Pp n/a-n/a (2024)

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A computationally efficient technique to model depth, orientation and alignment via ray tracing in acoustic power transfer systems

• Authors : Christensen, David B; Basaeri, Hamid; Roundy, Shad ...

• Source: Smart Materials and Structures ; volume 26, issue 12, page 125020 ; ISSN 0964-1726 1361-665X

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Model formulas, using pseudo-R code, for E . pacifica , T . spinifera and euphausiid larvae, including null model, depth- only model and full covariate model after covariate selection.

• Authors : Rhian Evans (10803641); Philina A. English (10803644); Sean C. Anderson (8200143)

Subjects: Cell Biology; Ecology; Inorganic Chemistry

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