AIMC Topic: Semantics

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Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation.

IEEE transactions on neural networks and learning systems Nov 30, 2022
Personalized news recommendation aims to recommend news articles to customers, by exploiting the personal preferences and short-term reading interest of users. A practical challenge in personalized news recommendations is the lack of logged user inte...
Neural Networks, Computer Semantics
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Visual SLAM: What Are the Current Trends and What to Expect?

Sensors (Basel, Switzerland) Nov 29, 2022
In recent years, Simultaneous Localization and Mapping (SLAM) systems have shown significant performance, accuracy, and efficiency gain. In this regard, Visual Simultaneous Localization and Mapping (VSLAM) methods refer to the SLAM approaches that em...
Algorithms Robotics Semantics Costs and Cost Analysis
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Applying Ternion Stream DCNN for Real-Time Vehicle Re-Identification and Tracking across Multiple Non-Overlapping Cameras.

Sensors (Basel, Switzerland) Nov 28, 2022
The increase in security threats and a huge demand for smart transportation applications for vehicle identification and tracking with multiple non-overlapping cameras have gained a lot of attention. Moreover, extracting meaningful and semantic vehicl...
Neural Networks, Computer Algorithms Semantics
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Diagnosis of Metastatic Lymph Nodes in Patients With Papillary Thyroid Cancer: A Comparative Multi-Center Study of Semantic Features and Deep Learning-Based Models.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine Nov 27, 2022
OBJECTIVES: Deep learning algorithms have shown potential in streamlining difficult clinical decisions. In the present study, we report the diagnostic profile of a deep learning model in differentiating malignant and benign lymph nodes in patients wi...
Humans Retrospective Studies Sensitivity and Specificity Deep Learning Thyroid Neoplasms Lymph Nodes Semantics Thyroid Cancer, Papillary
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Deep Temporal Model-Based Identity-Aware Hand Detection for Space Human-Robot Interaction.

IEEE transactions on cybernetics Nov 18, 2022
Hand detection is a crucial technology for space human-robot interaction (SHRI), and the awareness of hand identities is particularly critical. However, most advanced works have three limitations: 1) the low detection accuracy of small-size objects; ...
Humans Neural Networks, Computer Robotics Attention Semantics
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Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation.

Scientific reports Nov 18, 2022
Leading a sedentary lifestyle may cause numerous health problems. Therefore, passive lifestyle changes should be given priority to avoid severe long-term damage. Automatic health coaching system may help people manage a healthy lifestyle with continu...
Humans Machine Learning Algorithms Exercise Semantics Sedentary Behavior
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Efficient Object Detection Based on Masking Semantic Segmentation Region for Lightweight Embedded Processors.

Sensors (Basel, Switzerland) Nov 17, 2022
Because of the development of image processing using cameras and the subsequent development of artificial intelligence technology, various fields have begun to develop. However, it is difficult to implement an image processing algorithm that requires...
Neural Networks, Computer Artificial Intelligence Algorithms Image Processing, Computer-Assisted Semantics
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Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image.

PloS one Nov 16, 2022
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus disease 2019 (COVID-19). Imaging tests such as chest X-ray (CXR) and computed tomography (CT) can provide useful information to clinical staff for facilitating a diagnosi...
Humans Artificial Intelligence COVID-19 SARS-CoV-2 Deep Learning Semantics X-Rays
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Semantic segmentation method for myocardial contrast echocardiogram based on DeepLabV3+ deep learning architecture.

Mathematical biosciences and engineering : MBE Nov 14, 2022
Myocardial contrast echocardiography (MCE) has been proposed as a method to assess myocardial perfusion for the detection of coronary artery diseases in a non-invasive way. As a critical step of automatic MCE perfusion quantification, myocardium segm...
Humans Echocardiography Deep Learning Image Processing, Computer-Assisted Myocardium Semantics
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Attention-enabled gated spiking neural P model for aspect-level sentiment classification.

Neural networks : the official journal of the International Neural Network Society Nov 10, 2022
Gated spiking neural P (GSNP) model is a recently developed recurrent-like network, which is abstracted by nonlinear spiking mechanism of nonlinear spiking neural P systems. In this study, a modification of GSNP is combined with attention mechanism t...
Semantics Sentiment Analysis
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