AI Medical Compendium

Data-driven optimization of mechanical performance and durability of cementitious composites in acidic environments.

Scientific reports May 28, 2026

The durability of cementitious materials in aggressive acidic environments remains a critical challenge for infrastructure systems, primarily due to the complex and nonlinear interactions between mixture design parameters and degradation mechanisms. ... read more

White-box modeling of asphaltene precipitation during natural depletion of oil reservoirs.

Scientific reports May 28, 2026

Asphaltene precipitation and deposition pose significant challenges in the oil industry, leading to well blockage, formation damage, impairment of process equipment, and reduced reservoir permeability, which ultimately affect oil production and econo... read more

Optimization of water-saving irrigation decision using dynamic spatiotemporal graph neural networks.

Scientific reports May 28, 2026

Water-saving irrigation is critical for improving water use efficiency and ensuring sustainable food production. However, accurate prediction of farmland water demand remains difficult because soil, crop, and meteorological processes interact across ... read more

Deep learning approach for art style recognition and colour restoration in visual art images.

Scientific reports May 28, 2026

Color, as a core element in artistic images, not only contributes to visual aesthetics but also plays a crucial role in expressing emotions, constructing thematic narratives, and conveying semantic information. While existing deep learning approaches... read more

A fully-CMOS spiking LIF neuron implementation for optimized STDP learning on memristor.

Scientific reports May 28, 2026

The growing demand for fast and energy-efficient computing has motivated the development of neuromorphic hardware inspired by biological neural systems. Spiking neural networks (SNNs), as the third generation of neural networks, offer an event-driven... read more

Biosurveillance and early outbreak detection of rabies in settings with limited laboratory capacity using spatiotemporal clustering and a machine learning framework.

Scientific reports May 28, 2026

Rabies is an important but often neglected zoonotic disease with significant public health, veterinary, and economic impacts. Inadequate surveillance and diagnostic resources in low- and middle-income countries impede its effective public health resp... read more

Novel hybrid machine learning-based prediction of building space heating load: a comprehensive study.

Scientific reports May 28, 2026

Space heating load is the main energy consumption agent for residential buildings. Its prediction is crucial for the efficient and cost-effective management of energy suppliers. In this study, nine machine learning methods, including a novel hybrid n... read more

Dual-attention residual U-Net with Huber loss for robust and efficient porosity prediction from well logs.

Scientific reports May 28, 2026

Accurate porosity prediction from well logs is critical for reservoir characterization, yet existing deep learning approaches face notable limitations. Sequential LSTM-based architectures suffer from computational bottlenecks due to their recurrent p... read more

Unveiling population heterogeneity in health risks posed by environmental hazards using regression-guided neural network.

Scientific reports May 28, 2026

As environmental hazards become more frequent, it is critically important to understand their health impacts and identify individuals at disproportionately higher risk. Moderated Multiple Regression (MMR) provides a straightforward approach for inves... read more

Physics-informed neural network with adaptive loss balancing for real-time radiotherapy dose prediction and verification.

Scientific reports May 28, 2026

Accurate and efficient dose computation lies at the heart of modern radiotherapy planning, yet practitioners are still pulled in two opposing directions: high-fidelity solvers - Monte Carlo simulation and deterministic linear Boltzmann transport equa... read more

Artificial Intelligence Medical Compendium

Data-driven optimization of mechanical performance and durability of cementitious composites in acidic environments.

White-box modeling of asphaltene precipitation during natural depletion of oil reservoirs.

Optimization of water-saving irrigation decision using dynamic spatiotemporal graph neural networks.

Deep learning approach for art style recognition and colour restoration in visual art images.

A fully-CMOS spiking LIF neuron implementation for optimized STDP learning on memristor.

Biosurveillance and early outbreak detection of rabies in settings with limited laboratory capacity using spatiotemporal clustering and a machine learning framework.

Novel hybrid machine learning-based prediction of building space heating load: a comprehensive study.

Dual-attention residual U-Net with Huber loss for robust and efficient porosity prediction from well logs.

Unveiling population heterogeneity in health risks posed by environmental hazards using regression-guided neural network.

Physics-informed neural network with adaptive loss balancing for real-time radiotherapy dose prediction and verification.

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Artificial Intelligence Medical Compendium

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