Artificial Intelligence Medical Compendium

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

Showing 16,861 to 16,870 of 213,633 articles

A hybrid PCA-ICA and multi-level feature scaling framework with bidirectional LSTM-GRU architecture improves multivariate time series forecasting accuracy.

Scientific reports May 18, 2026
Precise multivariate time series (MTS) forecasting, particularly in atmospheric applications like air quality monitoring, is still a challenging task because of high dimensionality, temporal correlations, and non-stationary interactions between featu... read more 

PGCFuse: a U-Net-based progressive gated convmixer network with global context aggregation for infrared-visible image fusion.

Scientific reports May 18, 2026
Infrared (IR) and visible (VI) image fusion aims to integrate complementary information from heterogeneous modalities to enhance visual perception in a wide range of applications such as remote sensing, military surveillance, and autonomous driving. ... read more 

Characterization and machine learning based optimization of banana and paddy straw fiber reinforced epoxy hybrid composites.

Scientific reports May 18, 2026
This paper investigates a novel hybrid epoxy composite reinforced with cellulose-rich banana and paddy straw fibers, focusing on its fabrication and machining characteristics. While natural fibers have been widely studied, hybrid epoxy composites rei... read more 

Identification of diagnostic and therapeutic roles of programmed cell death-related proteins in dilated cardiomyopathy: a multi-omics and experimental validation study.

Scientific reports May 18, 2026
Dilated cardiomyopathy (DCM) is a clinically heterogeneous cardiac disorder characterized by ventricular dilation and systolic dysfunction, with limited options for mechanism-based diagnosis and targeted therapy. Programmed cell death (PCD), encompas... read more 

A decompose-reshape-ensemble deep learning framework for multi-scale short-term photovoltaic power forecasting.

Scientific reports May 18, 2026
Accurate short-term photovoltaic (PV) power forecasting is critical for maintaining grid stability and enabling efficient dispatch in modern sustainable power systems, yet the inherent volatility and multi-scale temporal dynamics of PV output remain ... read more 

Resource-efficient federated machine unlearning via evolutionary synaptic pruning for cloud-based distributed learning systems.

Scientific reports May 18, 2026
With an increasing emphasis on user data control and privacy regulations, such as the General Data Protection Regulation (GDPR), machine unlearning (MU) has emerged as a crucial mechanism for managing data in AI systems. MU enables models to remove t... read more 

An innovative hybrid ANN inception model for detecting and preventing man-in-the-middle attacks in smart networks for shielding sensitive data.

Scientific reports May 18, 2026
Man-in-the-Middle (MitM) attacks represent a significant cybersecurity challenge, particularly within the rapidly growing domain of smart networks and Internet of Things (IoT) environments. These attacks involve an adversary intercepting and potentia... read more 

Quantitative measurement of stag beetle behaviors in low light and complex background conditions using DAMM (detect any mouse model).

Scientific reports May 18, 2026
Aggressive behavior in insects plays a crucial role in various ecological and evolutionary processes, influencing resource acquisition, mate competition, and social organization. Stag beetles (Lucanidae) represent a compelling model system for studyi... read more 

Machine learning approach for mechanical property assessment of industrial waste-filled epoxy-jute composites.

Scientific reports May 18, 2026
The growing demand for sustainable materials has stimulated the development of bio-based composites, yet the combination of natural fibers and industrial waste fillers in polymer matrices has not been exploited synergistically. In line with Sustainab... read more 

A multi-source heterogeneous massive operation and maintenance data collection method for substations based on cloud-edge collaboration and artificial intelligence.

Scientific reports May 18, 2026
Real-time collection of operation and maintenance data enables timely identification and resolution of potential faults, thereby ensuring the safe and stable operation of power grids. However, achieving both real-time and secure data acquisition rema... read more 
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