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Found 12 papers, 4 papers with code
ElasticHash: Semantic Image Similarity Search by Deep Hashing with Elasticsearch
It is based on a deep hashing model to learn hash codes for fine-grained image similarity search in natural images and a two-stage method for efficiently searching binary hash codes using Elasticsearch (ES).
Leveraging Statistical Shape Priors in GAN-based ECG Synthesis
Electrocardiogram (ECG) data collection during emergency situations is challenging, making ECG data generation an efficient solution for dealing with highly imbalanced ECG training datasets.
Efficient Complex Event Processing in Information-centric Networking at the Edge
Information-centric Networking (ICN) is an emerging Internet architecture that offers promising features, such as in-network caching and named data addressing, to support the edge computing paradigm, in particular Internet-of-Things (IoT) applications.
Edge-computing
Distributed, Parallel, and Cluster Computing
Networking and Internet Architecture
Smart Street Lights and Mobile Citizen Apps for Resilient Communication in a Digital City
In future smart cities, a more resilient urban infrastructure is imperative to handle the increasing number of hazardous situations.
Human-Computer Interaction Computers and Society
DTN7: An Open-Source Disruption-tolerant Networking Implementation of Bundle Protocol 7
In disruption-tolerant networking (DTN), data is transmitted in a store-carry-forward fashion from network node to network node.
Networking and Internet Architecture
Investigating Correlations of Inter-coder Agreement and Machine Annotation Performance for Historical Video Data
Video indexing approaches such as visual concept classification and person recognition are essential to enable fine-grained semantic search in large-scale video archives such as the historical video collection of former German Democratic Republic (GDR) maintained by the German Broadcasting Archive (DRA).
Learning Wi-Fi Connection Loss Predictions for Seamless Vertical Handovers Using Multipath TCP
The experiments show that our approach provides seamless wireless connectivity, improves quality of experience of DASH video streaming, and requires less cellular data compared to handover approaches without Wi-Fi connection loss predictions.
Detection and Visualization of Endoleaks in CT Data for Monitoring of Thoracic and Abdominal Aortic Aneurysm Stents
The aneurysm segmentation includes two steps: first, the inner boundary is segmented based on a grey level model with two thresholds; then, an adapted active contour model approach is applied to the more complicated outer boundary segmentation, with its initialization based on the available inner boundary segmentation.
Preoperative Volume Determination for Pituitary Adenoma
The most common sellar lesion is the pituitary adenoma, and sellar tumors are approximately 10-15% of all intracranial neoplasms.
Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences
The Cube-Cut algorithm generates a directed graph with two terminal nodes (s-t-network), where the nodes of the graph correspond to a cubic-shaped subset of the image's voxels.
A Ray-based Approach for Boundary Estimation of Fiber Bundles Derived from Diffusion Tensor Imaging
Using DTI data, fiber bundles can be determined, to gain information about eloquent brain structures.
Determination, Calculation and Representation of the Upper and Lower Sealing Zones During Virtual Stenting of Aneurysms
In this contribution, a novel method for stent simulation in preoperative computed tomography angiography (CTA) acquisitions of patients is presented where the sealing zones are automatically calculated and visualized.
