AIMC Journal:
Scientific reports

Showing 301 to 310 of 5092 articles

Domain knowledge-infused pre-trained deep learning models for efficient white blood cell classification.

Scientific reports
White blood cell (WBC) classification is a crucial step in assessing a patient's health and validating medical treatment in the medical domain. Hence, efficient computer vision solutions to the classification of WBC will be an effective aid to medica...

Prediction of high-risk pregnancy based on machine learning algorithms.

Scientific reports
This study explores the application of machine learning algorithms in predicting high-risk pregnancy among expectant mothers, aiming to construct an efficient predictive model to improve maternal health management. The study is based on the maternal ...

Transfer learning from inorganic materials to ivory detection.

Scientific reports
This paper describes the automatic identification of ivory using Raman spectroscopy data and deep neural network (DNN) models pre-trained on open-source data from inorganic minerals. The proposed approach uses transfer learning (TL) from foundation m...

A dense multi-pooling convolutional network for driving fatigue detection.

Scientific reports
Driver fatigue is one of the major causes of traffic accidents, particularly for drivers of large vehicles, who are more susceptible to fatigue due to prolonged driving hours and monotonous conditions during their journeys. Existing vision-based driv...

AI designed, mutation resistant broad neutralizing antibodies against multiple SARS-CoV-2 strains.

Scientific reports
In this study, we developed a digital twin for SARS-CoV-2 by integrating diverse data and metadata with multiple data types and processing strategies, including machine learning, natural language processing, protein structural modeling, and protein s...

Bio-inspired motion detection models for improved UAV and bird differentiation: a novel deep learning framework.

Scientific reports
The rapid increase in Unmanned Aerial Vehicle (UAV) deployments has led to growing concerns about their detection and differentiation from birds, particularly in sensitive areas like airports. Existing detection systems often struggle to distinguish ...

Exploring the differences in atmospheric mesoscale kinetic energy spectra between AI based and physics based models.

Scientific reports
It is an urgent need to understand the ability of current artificial intelligence (AI) models in simulating atmospheric mesoscale aspects. This paper compares mesoscale kinetic energy spectra from an 11-day experiment simulated by a novel AI-based mo...

The construction of student-centered artificial intelligence online music learning platform based on deep learning.

Scientific reports
Aiming at the student-centered online music learning platform, this study proposes a Course Recommendation Model for Student Learning Interest Evolution (CRM-SLIE) to improve the accuracy and adaptability of the platform's course recommendation. This...

A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health.

Scientific reports
Pesticides and other synthetic agrochemicals play a critical role in emerging agricultural practices by enhancing crop productivity and protecting against pests and diseases. However, their widespread application has raised significant concerns about...

Optimal active unsupervised fault detection in cascaded h-bridge inverters based on machine learning.

Scientific reports
Multi-Level Inverters (MLIs) are commonly used in high-voltage, high-power industrial applications. In this regard, their reliability, and health optimal performance are in the first priority. However, as the number of switches in a multilevel invert...