Artificial Intelligence Medical Compendium

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

Showing 13,321 to 13,330 of 211,153 articles

Research on optimization of power grid load forecasting models based on deep learning.

Scientific reports May 21, 2026
Precise forecasting of power grid load is essential for maintaining the stability and efficiency of contemporary energy systems. Traditional statistical and machine learning methods often struggle to capture the nonlinear temporal dependencies and dy... read more 

Cross Disease Similarity Awareness Learning (CDSAL) with DenseNet-EfficientNet embedding fusion for high-precision tomato leaf pathology classification with Grad-CAM explainability.

Scientific reports May 21, 2026
The research proposes Cross Disease Similarity Awareness Learning (CDSAL), a robust multiclass tomato leaf disease detection framework based on high-quality and explainable deep learning. The approach solves the problem of superimposed patterns of di... read more 

A deterministic method for quantifying spindle-shaped cells in noisy bright-field microscopy.

Scientific reports May 21, 2026
Accurate quantification of spindle-shaped cells in bright-field microscopy remains challenging due to low contrast, noise, and highly variable cell morphology. Conventional approaches often rely on fluorescent staining or deep learning models, which ... read more 

AI-optimized BPNN model for port safety risk prediction and management.

Scientific reports May 21, 2026
In the field of international port safety management, the traditional Backpropagation Neural Network (BPNN) model is confronted with bottlenecks including limited data processing capability and low optimization efficiency. This study proposes an inte... read more 

A properties prediction strategy of aluminum anode foils through machine learning based on feature selection and stacking learning models.

Scientific reports May 21, 2026
With the rapid development of new energy vehicles, the global demand for aluminum anode foils (AAF) increases continuously. In order to improve the stability and accuracy of properties prediction for AAF, a machine learning-based property prediction ... read more 

Detection and mitigation of abusive web traffic using convolutional neural networks.

Scientific reports May 21, 2026
Illicit websites depend upon abusive Traffic Distribution Systems (TDSs) to generate user traffic for malicious. Traffic Distribution Systems are the intermediate websites that redirect the HTTP traffic from online advertisements. However, such syste... read more 

Objective-function-guided automated VMAT planning reduces OAR dose, low-dose exposure, and inter-planner variability in breast radiotherapy.

Scientific reports May 21, 2026
This study presents and evaluates an automated volumetric modulated arc therapy (VMAT) planning framework for breast cancer based on objective function value (OFV)-guided optimization. The primary objective is to systematically improve organ-at-risk ... read more 

A digital twin-driven computation and analysis framework for low-altitude airspace.

Scientific reports May 21, 2026
This study aims to address critical challenges in low-altitude airspace management, including high dynamic complexity, substantial safety hazards, and information fragmentation, and proposes a digital twin-enabled computation and analysis framework. ... read more 

Maximizing pancreatic carcinoma classification performance using parrot optimized vision transformer.

Scientific reports May 21, 2026
Pancreatic cancer is a rare kind of cancer that is detected during the final stages. This is because the symptoms are very common and also do not show up in the starting phase. Hence an automated system for identification and classification of pancre... read more 

Early fusion of laser and acoustic features for human orientation detection in non-line-of-sight environments.

Scientific reports May 21, 2026
For search and rescue, security, and autonomous systems, determining the orientation of a human presence outside the line of sight is as crucial as detecting them. Knowing the human's orientation plays a crucial role in determining the intervention s... read more 
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