AIMC Topic: Semantic Web
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PoachNet: Predicting Poaching Using an Ontology-Based Knowledge Graph.
Sensors (Basel, Switzerland)
Dec 20, 2024
Poaching poses a significant threat to wildlife and their habitats, necessitating advanced tools for its prediction and prevention. Existing tools for poaching prediction face challenges such as inconsistent poaching data, spatiotemporal complexity, ...
Voxel representation of brain images inpainting via Regional Pixel Semantic Network and pyramidal attention AE - Quantile differential mechanism model.
Computers in biology and medicine
Nov 28, 2023
Medical image inpainting holds significant importance in enhancing the quality of medical images by restoring missing areas, thereby rendering them suitable for diagnostic purposes. While several techniques have been previously proposed for medical i...
Automatic transparency evaluation for open knowledge extraction systems.
Journal of biomedical semantics
Aug 31, 2023
BACKGROUND: This paper proposes Cyrus, a new transparency evaluation framework, for Open Knowledge Extraction (OKE) systems. Cyrus is based on the state-of-the-art transparency models and linked data quality assessment dimensions. It brings together ...
Artificially-generated consolidations and balanced augmentation increase performance of U-net for lung parenchyma segmentation on MR images.
PloS one
May 9, 2023
PURPOSE: To improve automated lung segmentation on 2D lung MR images using balanced augmentation and artificially-generated consolidations for training of a convolutional neural network (CNN).
Multidimensional Latent Semantic Networks for Text Humor Recognition.
Sensors (Basel, Switzerland)
Jul 23, 2022
Humor is a special human expression style, an important "lubricant" for daily communication for people; people can convey emotional messages that are not easily expressed through humor. At present, artificial intelligence is one of the popular resear...
Structure-based knowledge acquisition from electronic lab notebooks for research data provenance documentation.
Journal of biomedical semantics
Jan 31, 2022
BACKGROUND: Electronic Laboratory Notebooks (ELNs) are used to document experiments and investigations in the wet-lab. Protocols in ELNs contain a detailed description of the conducted steps including the necessary information to understand the proce...
Cross-modal distribution alignment embedding network for generalized zero-shot learning.
Neural networks : the official journal of the International Neural Network Society
Jan 29, 2022
Many approaches in generalized zero-shot learning (GZSL) rely on cross-modal mapping between the image feature space and the class embedding space, which achieves knowledge transfer from seen to unseen classes. However, these two spaces are completel...
Data-Driven Construction Safety Information Sharing System Based on Linked Data, Ontologies, and Knowledge Graph Technologies.
International journal of environmental research and public health
Jan 11, 2022
Accident, injury, and fatality rates remain disproportionately high in the construction industry. Information from past mishaps provides an opportunity to acquire insights, gather lessons learned, and systematically improve safety outcomes. Advances ...
End-to-End provenance representation for the understandability and reproducibility of scientific experiments using a semantic approach.
Journal of biomedical semantics
Jan 6, 2022
BACKGROUND: The advancement of science and technologies play an immense role in the way scientific experiments are being conducted. Understanding how experiments are performed and how results are derived has become significantly more complex with the...
LIO-CSI: LiDAR inertial odometry with loop closure combined with semantic information.
PloS one
Dec 8, 2021
Accurate and reliable state estimation and mapping are the foundation of most autonomous driving systems. In recent years, researchers have focused on pose estimation through geometric feature matching. However, most of the works in the literature as...
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