Search Results - "MATSUBARA, Takashi"
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The Symplectic Adjoint Method: Memory-Efficient Backpropagation of Neural-Network-Based Differential Equations
Published in IEEE transaction on neural networks and learning systems (01-08-2024)“…The combination of neural networks and numerical integration can provide highly accurate models of continuous-time dynamical systems and probabilistic…”
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An Asynchronous Recurrent Network of Cellular Automaton-Based Neurons and Its Reproduction of Spiking Neural Network Activities
Published in IEEE transaction on neural networks and learning systems (01-04-2016)“…Modeling and implementation approaches for the reproduction of input-output relationships in biological nervous tissues contribute to the development of…”
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Topology-Aware Flow-Based Point Cloud Generation
Published in IEEE transactions on circuits and systems for video technology (01-11-2022)“…Point clouds have attracted attention as a representation of an object's surface. Deep generative models have typically used a continuous map from a dense set…”
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Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery
Published in Remote sensing (Basel, Switzerland) (06-12-2019)“…The traditional method of measuring nitrogen content in plants is a time-consuming and labor-intensive task. Spectral vegetation indices extracted from…”
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5
GNAS and KRAS mutations are common in intraductal papillary neoplasms of the bile duct
Published in PloS one (02-12-2013)“…Intraductal papillary neoplasms of the bile duct (IPNB) shows favorable prognosis and is regarded as a biliary counterpart of intraductal papillary mucinous…”
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6
Direct fabrication of SnO2- and MoO3-modified nanoporous TiO2–TiO–TiN composite films by hybrid anodization for high-safety lithium-ion battery anodes
Published in Electrochimica acta (10-08-2021)“…•Nanoporous TiO2-based composite films are fabricated via hybrid anodization.•Films form by concurrent Ti anodization and electrophoretic SnO2/MoO3…”
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7
Conduction Delay Learning Model for Unsupervised and Supervised Classification of Spatio-Temporal Spike Patterns
Published in Frontiers in computational neuroscience (21-11-2017)“…Precise spike timing is considered to play a fundamental role in communications and signal processing in biological neural networks. Understanding the…”
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Preparation of Calcium Phosphate-Biodegradable Polymer Composites with Ion-Releasing Ability for Enhancing Bone Formation
Published in MATERIALS TRANSACTIONS (01-01-2021)“…An inorganic-organic composite material, consisting of bioresorbable β-tricalcium phosphate (β-TCP) and a biodegradable polymer, is one of the most important…”
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9
Generative adversarial network based on chaotic time series
Published in Scientific reports (10-09-2019)“…Generative adversarial networks (GANs) are becoming increasingly important in the artificial construction of natural images and related functionalities,…”
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An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization
Published in IEEE access (2021)“…Code-level optimizations, which are low-level optimization techniques used in the implementation of algorithms, have generally been considered as tangential…”
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Shape-controlled synthesis of Pt–Pd core–shell nanoparticles exhibiting polyhedral morphologies by modified polyol method
Published in Acta materialia (01-04-2011)“…Pt–Pd core–shell nanoparticles were synthesized by a simple synthetic method. First, Pt nanoparticles were synthesized in a controlled manner via the reduction…”
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A review on deep learning in UAV remote sensing
Published in International journal of applied earth observation and geoinformation (01-10-2021)“…•Combining deep learning and UAV-based data is an emerging trend in remote sensing.•Most articles published rely on CNN-based methods.•Future perspectives in…”
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13
A case of eosinophilic polyangiitis with granulomatosis that evolved to cardiac arrest due to advanced atrioventricular block
Published in Nagoya journal of medical science (01-02-2023)“…Cardiac manifestations are the major cause of mortality in patients with eosinophilic granulomatosis with polyangiitis (EGPA). Among these manifestations in…”
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Early detection of intrahepatic cholangiocarcinoma
Published in Japanese journal of radiology (01-10-2019)“…Cholangiocarcinoma (CC) is a malignant tumor which arises from the biliary epithelium and most cases represent adenocarcinoma. CC can be classified into…”
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15
CT imaging comparison between intraductal papillary neoplasms of the bile duct and papillary cholangiocarcinomas
Published in European radiology (01-06-2019)“…Objectives To identify imaging features that assist in discriminating intraductal papillary neoplasms of the bile duct (IPNBs) from papillary…”
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Homeostatic Plasticity Achieved by Incorporation of Random Fluctuations and Soft-Bounded Hebbian Plasticity in Excitatory Synapses
Published in Frontiers in neural circuits (01-06-2016)“…Homeostatic plasticity is considered to maintain activity in neuronal circuits within a functional range. In the absence of homeostatic plasticity neuronal…”
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Peribiliary glands: development, dysfunction, related conditions and imaging findings
Published in Abdominal radiology (New York) (01-02-2020)“…Peribiliary glands are minute structures that are distributed along the intrahepatic large bile ducts, extrahepatic bile duct, and cystic duct. These glands…”
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Assessment of CNN-Based Methods for Individual Tree Detection on Images Captured by RGB Cameras Attached to UAVs
Published in Sensors (Basel, Switzerland) (18-08-2019)“…Detection and classification of tree species from remote sensing data were performed using mainly multispectral and hyperspectral images and Light Detection…”
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Radiation dose considerations in digital radiography with an anti‐scatter grid: A study using adult and pediatric phantoms
Published in Journal of applied clinical medical physics (01-09-2023)“…Background When using an anti‐scatter grid, a decrease in receptor dose caused by its X‐ray absorption seems to lead to the misperception that radiation dose…”
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A convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery
Published in ISPRS journal of photogrammetry and remote sensing (01-02-2020)“…Visual inspection has been a common practice to determine the number of plants in orchards, which is a labor-intensive and time-consuming task. Deep learning…”
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