AIMC Topic: Semantics

Clear Filters Showing 321 to 330 of 1420 articles

Deep-learning-based semantic segmentation of autonomic nerves from laparoscopic images of colorectal surgery: an experimental pilot study.

International journal of surgery (London, England) Apr 1, 2023
BACKGROUND: The preservation of autonomic nerves is the most important factor in maintaining genitourinary function in colorectal surgery; however, these nerves are not clearly recognisable, and their identification is strongly affected by the surgic...
Deep Learning Pilot Projects Humans Colorectal Surgery Autonomic Pathways Semantics Laparoscopy
View on PubMed DOI

Overlap in meaning is a stronger predictor of semantic activation in GPT-3 than in humans.

Scientific reports Mar 28, 2023
Modern large language models generate texts that are virtually indistinguishable from those written by humans and achieve near-human performance in comprehension and reasoning tests. Yet, their complexity makes it difficult to explain and predict the...
Comprehension Word Association Tests Natural Language Processing Semantics Humans
View on PubMed DOI

Developing a Knowledge Graph for Pharmacokinetic Natural Product-Drug Interactions.

Journal of biomedical informatics Mar 17, 2023
BACKGROUND: Pharmacokinetic natural product-drug interactions (NPDIs) occur when botanical or other natural products are co-consumed with pharmaceutical drugs. With the growing use of natural products, the risk for potential NPDIs and consequent adve...
Drug Interactions Semantics Pharmaceutical Preparations Pattern Recognition, Automated Biological Ontologies Biological Products
View on PubMed DOI

Optimization Algorithm of Moving Object Detection Using Multiscale Pyramid Convolutional Neural Networks.

Computational intelligence and neuroscience Mar 10, 2023
Object detection and recognition is a very important topic with significant research value. This research develops an optimised model of moving target identification based on CNN to address the issues of insufficient positioning information and low t...
Semantics Algorithms Recognition, Psychology Neural Networks, Computer Learning
View on PubMed DOI

EG-TransUNet: a transformer-based U-Net with enhanced and guided models for biomedical image segmentation.

BMC bioinformatics Mar 7, 2023
Although various methods based on convolutional neural networks have improved the performance of biomedical image segmentation to meet the precision requirements of medical imaging segmentation task, medical image segmentation methods based on deep l...
Neural Networks, Computer Semantics Electric Power Supplies
View on PubMed DOI

Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts.

Scientific reports Mar 4, 2023
How do we make sense of the input from our sensory organs, and put the perceived information into context of our past experiences? The hippocampal-entorhinal complex plays a major role in the organization of memory and thought. The formation of and n...
Cognition Animals Semantics Mammals Neural Networks, Computer Artificial Intelligence
View on PubMed DOI

Marine ship instance segmentation by deep neural networks using a global and local attention (GALA) mechanism.

PloS one Feb 24, 2023
Marine ships are the transport vehicle in the ocean and instance segmentation of marine ships is an accurate and efficient analysis approach to achieve a quantitative understanding of marine ships, for example, their relative locations to other ships...
Image Processing, Computer-Assisted Neural Networks, Computer Semantics Algorithms Ships
View on PubMed DOI

Lifelong Text-Audio Sentiment Analysis learning.

Neural networks : the official journal of the International Neural Network Society Feb 17, 2023
Sentiment analysis refers to the mining of textual context, which is conducted with the aim of identifying and extracting subjective opinions in textual materials. However, most existing methods neglect other important modalities, e.g., the audio mod...
Sentiment Analysis Knowledge Learning Semantics Machine Learning
View on PubMed DOI

A Deep Learning-Based Semantic Segmentation Model Using MCNN and Attention Layer for Human Activity Recognition.

Sensors (Basel, Switzerland) Feb 17, 2023
With the development of wearable devices such as smartwatches, several studies have been conducted on the recognition of various human activities. Various types of data are used, e.g., acceleration data collected using an inertial measurement unit se...
Acceleration Attention Human Activities Semantics Humans Deep Learning
View on PubMed DOI

Deep learning based classification of multi-label chest X-ray images via dual-weighted metric loss.

Computers in biology and medicine Feb 15, 2023
-Thoracic disease, like many other diseases, can lead to complications. Existing multi-label medical image learning problems typically include rich pathological information, such as images, attributes, and labels, which are crucial for supplementary ...
Image Processing, Computer-Assisted Thorax Semantics Deep Learning X-Rays
View on PubMed DOI
Popular Topics
Recent Journals