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Found 10 papers, 0 papers with code
Quantitative analysis of collagen remodeling in pancreatic lesions using computationally translated collagen images derived from brightfield microscopy images
However, a technical approach that can perform a quantitative analysis of fibrillar collagen directly on standard slides stained with H&E can (i) discard the need for specialized and costly equipment or labels, (ii) further supplement the conventional histopathological insights and, (iii) potentially be integrated within the framework of standard histopathology workflow.
Conservation Tools: The Next Generation of Engineering--Biology Collaborations
The recent increase in public and academic interest in preserving biodiversity has led to the growth of the field of conservation technology.
Few-bit Quantization of Neural Networks for Nonlinearity Mitigation in a Fiber Transmission Experiment
A neural network is quantized for the mitigation of nonlinear and components distortions in a 16-QAM 9x50km dual-polarization fiber transmission experiment.
Dynamic Human-Robot Role Allocation based on Human Ergonomics Risk Prediction and Robot Actions Adaptation
Despite cobots have high potential in bringing several benefits in the manufacturing and logistic processes, but their rapid (re-)deployment in changing environments is still limited.
Verification of an agent-based disease model of human mycobacterium tuberculosis infection
Agent-Based Models are a powerful class of computational models widely used to simulate complex phenomena in many different application areas.
Sparsification via Compressed Sensing for Automatic Speech Recognition
In the literature, such methods are referred to as sparse pruning.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors
From disinfection and remote triage, to logistics and delivery, countries around the world are making use of robots to address the unique challenges presented by the COVID-19 pandemic.
Computers and Society Robotics
3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties
Since embeddings are accepted as an input, there is no need to train classifiers for the different properties and available data can be used more efficiently.
A deep convolutional neural network model for rapid prediction of fluvial flood inundation
Most of the two-dimensional (2D) hydraulic/hydrodynamic models are still computationally too demanding for real-time applications.
VINE -- A numerical code for simulating astrophysical systems using particles II: Implementation and performance characteristics
We continue with a detailed description of a number of optimizations made to the layout of the particle data in memory and to our implementation of a binary tree used to access that data for use in gravitational force calculations and searches for SPH neighbor particles.
