Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 501 to 510 of 6,647 articles

Analysis of baseball behavior recognition model based on Dual-GCN improved by motion weights.

Scientific reports
This research aims to address the poor performance in baseball behavior recognition, insufficient connection between characters, and low accuracy in baseball behavior recognition. A motion weight improvement model based on dual-graph convolutional ne... read more 

Domain-incremental white blood cell classification with privacy-aware continual learning.

Scientific reports
White blood cell (WBC) classification plays a vital role in hematology for diagnosing various medical conditions. However, it faces significant challenges due to domain shifts caused by variations in sample sources (e.g., blood or bone marrow) and di... read more 

Advancing crop recommendation system with supervised machine learning and explainable artificial intelligence.

Scientific reports
Agriculture is one of the most important sectors, as many countries' economies depend on it. At the same time, meeting the food requirements of the increasing population is also challenging, as the land for agriculture is curtailed everywhere. Thus, ... read more 

Machine and deep learning models for predicting high pressure density of heterocyclic thiophenic compounds based on critical properties.

Scientific reports
The multifaceted effects of the presence of thiophenic compounds on the environment are significant and cannot be overlooked. As heterocyclic compounds, thiophene and its derivatives play a significant role in materials science, particularly in the d... read more 

Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method.

Scientific reports
Artificial intelligence (AI) is transforming educational technology by enabling personalized, adaptive, and data-driven learning experiences. Machine learning algorithms analyze student performance to tailor content delivery, while natural language p... read more 

A comparative study and simple baseline for travel time prediction.

Scientific reports
Accurate travel time prediction (TTP) is essential to freeway users, including drivers, administrators, and freight-related companies, for enabling them to plan trips effectively and mitigate traffic congestion. However, TTP is a complex challenge ev... read more 

Predicting the interfacial tension of CO and NaCl aqueous solution with machine learning.

Scientific reports
Achieving carbon neutrality requires effective strategies to reduce CO emissions, and geological sequestration of CO is considered among the most promising and economically viable options. The interfacial tension (IFT) between the CO and the surround... read more 

A hybrid fog-edge computing architecture for real-time health monitoring in IoMT systems with optimized latency and threat resilience.

Scientific reports
The advancement of the Internet of Medical Things (IoMT) has transformed healthcare delivery by enabling real-time health monitoring. However, it introduces critical challenges related to latency and, more importantly, the secure handling of sensitiv... read more 

Advanced finite segmentation model with hybrid classifier learning for high-precision brain tumor delineation in PET imaging.

Scientific reports
Brain tumor segmentation plays a crucial role in clinical diagnostics and treatment planning, yet accurate and efficient segmentation remains a significant challenge due to complex tumor structures and variations in imaging modalities. Multi-feature ... read more 

Machine learning approaches for forecasting compressive strength of high-strength concrete.

Scientific reports
Identifying the mechanical properties of High Strength Concrete (HSC), particularly compressive strength, is critical for safety purposes. Concrete compressive strength is determined by using laboratory experiments, which are costly and time-consumin... read more