AIMC Topic: Neural Networks, Computer

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The application of suitable sports games for junior high school students based on deep learning and artificial intelligence.

Scientific reports
In the contemporary educational environment, junior high school students' physical education is facing the challenge of improving teaching quality, strengthening students' physique, and cultivating lifelong physical habits. Traditional physical educa...

Geospatial artificial intelligence for detection and mapping of small water bodies in satellite imagery.

Environmental monitoring and assessment
Remote sensing (RS) data is extensively used in the observation and management of surface water and the detection of water bodies for studying ecological and hydrological processes. Small waterbodies are often neglected because of their tiny presence...

Deep Learning-Based Classification of CRISPR Loci Using Repeat Sequences.

ACS synthetic biology
With the widespread application of the CRISPR-Cas system in gene editing and related fields, along with the increasing availability of metagenomic data, the demand for detecting and classifying CRISPR-Cas systems in metagenomic data sets has grown si...

GCN-Transformer: Graph Convolutional Network and Transformer for Multi-Person Pose Forecasting Using Sensor-Based Motion Data.

Sensors (Basel, Switzerland)
Multi-person pose forecasting involves predicting the future body poses of multiple individuals over time, involving complex movement dynamics and interaction dependencies. Its relevance spans various fields, including computer vision, robotics, huma...

Assessment of Elapsed Time Between Dental Radiographs Using Siamese Network.

Studies in health technology and informatics
Recently, machine learning methods have emerged to predict dental disease progression, often relying on costly annotated datasets and frequently exhibiting low generalization performance. This study evaluates the application of Siamese networks for d...

Novel Tinnitus Diagnosis: Biology and Technology for Public Health Management.

Studies in health technology and informatics
Tinnitus, characterized by the perception of ringing or buzzing in the ears, significantly affects millions globally and negatively impacts their quality of life. Current management strategies vary in effectiveness, underscoring the need for precise,...

Leveraging Vision Transformers in Multimodal Models for Retinal OCT Analysis.

Studies in health technology and informatics
Optical Coherence Tomography (OCT) has become an indispensable imaging modality in ophthalmology, providing high-resolution cross-sectional images of the retina. Accurate classification of OCT images is crucial for diagnosing retinal diseases such as...

Long Short-Term Memory Network for Accelerometer-Based Hypertension Classification.

Studies in health technology and informatics
This study investigates the application of a Long Short-Term Memory (LSTM) architecture for classifying hypertension using accelerometer data, specifically focusing on physical activity and sleep from the publicly available NHANES 2011-2012 dataset. ...

Using Machine Learning for the Fusion of Tumor Records on a Real-World Dataset.

Studies in health technology and informatics
Cancer registries collect multiple reports describing the same tumor, potentially leading to duplicate or conflicting values across different records. This complicates further use of cancer data. Data fusion addresses this issue by consolidating mult...

RepSE-CBAMNet: A Hybrid Attention-Enhanced CNN for Brain Tumor Detection.

Studies in health technology and informatics
The effective detection of brain tumors is closely linked to their timely diagnosis and treatment which can help in the prevention of deaths and in improving the quality of life. The objective of this paper is to present an enhanced YOLO (You Look On...