AIMC Topic: Algorithms

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Use of artificial intelligence in emergency radiology: An overview of current applications, challenges, and opportunities.

Clinical imaging
The value of artificial intelligence (AI) in healthcare has become evident, especially in the field of medical imaging. The accelerated pace and acuity of care in the Emergency Department (ED) has made it a popular target for artificial intelligence-...

HGSORF: Henry Gas Solubility Optimization-based Random Forest for C-Section prediction and XAI-based cause analysis.

Computers in biology and medicine
A stable predictive model is essential for forecasting the chances of cesarean or C-section (CS) delivery, as unnecessary CS delivery can adversely affect neonatal, maternal, and pediatric morbidity and mortality, and can incur significant financial ...

Predicting clinical trial outcomes using drug bioactivities through graph database integration and machine learning.

Chemical biology & drug design
The ability to estimate the probability of a drug to receive approval in clinical trials provides natural advantages to optimizing pharmaceutical research workflows. Success rates of clinical trials have deep implications for costs, duration of devel...

Semi-Supervised Learning for Forklift Activity Recognition from Controller Area Network (CAN) Signals.

Sensors (Basel, Switzerland)
Machine Activity Recognition (MAR) can be used to monitor manufacturing processes and find bottlenecks and potential for improvement in production. Several interesting results on MAR techniques have been produced in the last decade, but mostly on con...

A Novel Forward-Propagation Workflow Assessment Method for Malicious Packet Detection.

Sensors (Basel, Switzerland)
In recent times, there has been a huge upsurge in malicious attacks despite sophisticated technologies in digital network data transmission. This research proposes an innovative method that utilizes the forward-propagation workflow of the convolution...

Model Predictive Control of a Novel Wheeled-Legged Planetary Rover for Trajectory Tracking.

Sensors (Basel, Switzerland)
Amid increasing demands for planetary exploration, wide-range autonomous exploration is still a great challenge for existing planetary rovers, which calls for new planetary rovers with novel locomotive mechanisms and corresponding control strategies....

Transfer Learning for Sentiment Analysis Using BERT Based Supervised Fine-Tuning.

Sensors (Basel, Switzerland)
The growth of the Internet has expanded the amount of data expressed by users across multiple platforms. The availability of these different worldviews and individuals' emotions empowers sentiment analysis. However, sentiment analysis becomes even mo...

Integration of Digital Twin, Machine-Learning and Industry 4.0 Tools for Anomaly Detection: An Application to a Food Plant.

Sensors (Basel, Switzerland)
This work describes a structured solution that integrates digital twin models, machine-learning algorithms, and Industry 4.0 technologies (Internet of Things in particular) with the ultimate aim of detecting the presence of anomalies in the functioni...

Chord: an ensemble machine learning algorithm to identify doublets in single-cell RNA sequencing data.

Communications biology
High-throughput single-cell RNA sequencing (scRNA-seq) is a popular method, but it is accompanied by doublet rate problems that disturb the downstream analysis. Several computational approaches have been developed to detect doublets. However, most of...

Hybrid HCNN-KNN Model Enhances Age Estimation Accuracy in Orthopantomography.

Frontiers in public health
Age estimation in dental radiographs Orthopantomography (OPG) is a medical imaging technique that physicians and pathologists utilize for disease identification and legal matters. For example, for estimating post-mortem interval, detecting child abus...