Artificial Intelligence Medical Compendium

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

Showing 141 to 150 of 6,526 articles

Cognitive link adaptation via modulation scheme classification in narrowband networks under AWGN and SUI channel conditions.

Scientific reports Jul 29, 2025
The demand for faster data transfer rates rises along with the number of mobile devices, such as smartphones and IoT gadgets, which makes the radio spectrum more crowded. The forthcoming 5G wireless communication technology seeks to significantly enh... read more 

Sustainable RCCI engine operation with an ANN based novel tri-fuel approach.

Scientific reports Jul 29, 2025
This research delves into a novel tri-fuel RCCI engine strategy that uses diesel as the base fuel, biodiesel from Andropogon narudus, and hydrogen as a reactivity promoter to enhance combustion efficiency and enhance environmental sustainability. The... read more 

Evaluating crop yield prediction models in illinois using aquacrop, semi-physical model and artificial neural networks.

Scientific reports Jul 28, 2025
Crop yield is important for agricultural productivity and the country's economy. While crop yield estimation is an essential aspect of modern agriculture, it continues to be one of the most challenging tasks to manage effectively. Corn and soybean ar... read more 
Neural Networks, Computer Agriculture Models, Theoretical Zea mays Crops, Agricultural Glycine max Illinois

Machine learning based shear strength prediction in reinforced concrete beams using Levy flight enhanced decision trees.

Scientific reports Jul 28, 2025
Reinforced concrete (RC) T-beams are widely used in structural systems due to their efficient geometry and load-carrying capacity. However, accurately predicting their shear strength remains a challenge, particularly under complex loading scenarios. ... read more 

Consistent vehicle trajectory extraction from aerial recordings using oriented object detection.

Scientific reports Jul 28, 2025
Vehicle trajectories offer valuable insights for a wide range of road transportation applications. Due to the rise of drone technology, a growing branch of literature explores optical vehicle trajectory extraction from aerial videos, where object det... read more 

Infant rat ultrasonic vocalizations in the neurodevelopmental model of schizophrenia.

Scientific reports Jul 28, 2025
Schizophrenia is characterized by early brain developmental abnormalities resulting in, among others, compromised communication. Rodent models, such as prenatal exposure to methylazoxymethanol acetate (MAM), help investigate schizophrenia-related def... read more 
Pregnancy Female Animals Male Rats Disease Models, Animal Schizophrenia Animals, Newborn Prenatal Exposure Delayed Effects Vocalization, Animal Methylazoxymethanol Acetate

Adaptive sliding mode fault-tolerant control of UAV systems based on radial basis function neural networks.

Scientific reports Jul 28, 2025
This paper investigates the performance decline in complex systems, such as Unmanned Aerial Vehicles (UAVs), caused by unanticipated faults and external perturbations. To improve system resilience and achieve swift recovery without depending on fault... read more 

AI-based prediction of traffic crash severity for improving road safety and transportation efficiency.

Scientific reports Jul 28, 2025
Ensuring safe transportation requires a comprehensive understanding of driving behaviors and road safety to mitigate traffic crashes, reduce risks and enhance mobility. This study introduces an AI-driven machine learning (ML) framework for traffic cr... read more 

HAVIT: research on vision-language gesture interaction mechanism for smart furniture.

Scientific reports Jul 28, 2025
With the rapid development of smart furniture, gesture recognition has gained increasing attention as a natural and intuitive interaction method. However, in practical applications, issues such as limited data resources and insufficient semantic unde... read more 

Creating interpretable deep learning models to identify species using environmental DNA sequences.

Scientific reports Jul 28, 2025
Monitoring species' presence in an ecosystem is crucial for conservation and understanding habitat diversity, but can be expensive and time consuming. As a result, ecologists have begun using the DNA that animals naturally leave behind in water or so... read more 
Neural Networks, Computer Animals Ecosystem Deep Learning Sequence Analysis, DNA DNA, Environmental
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