AI Medical Compendium

Lightweight scalable deep learning framework for real time detection of potato leaf diseases.

Scientific reports Feb 13, 2026

Multi-class eye disease classification using deep learning EfficientNetB0 fusion techniques.

Scientific reports Feb 13, 2026

Design and predictive modeling of a veterinary drug detection sensor in paddy field water based on artificial neural networks.

Scientific reports Feb 13, 2026

For rapid real-time detection of veterinary drug residues in paddy field water, we developed a novel sensor system using interdigitated electrodes as detection probes and the STM32F405RGT6 microcontroller as the core processing unit. The hardware arc... read more

Harvesting insights: interpretable machine learning to understand environmental drivers of U.S. maize and soybean yield.

Scientific reports Feb 13, 2026

Study on pore features in sintered die-attach microstructures based on machine learning.

Scientific reports Feb 13, 2026

Low-temperature sintering of nano-sized metal particles is a promising approach for die-attach bonding, where the porous microstructure plays a critical role in determining bonding performance. However, the internal relationships among various micros... read more

Disease-specific crosstalk of Alistipes with lipoprotein profiles in overweight individuals at high cardiometabolic risk.

Scientific reports Feb 13, 2026

Metabolic syndrome (MS) and systemic lupus erythematosus (SLE) represent two pathophysiologically distinct chronic conditions associated with elevated cardiovascular risk. Emerging evidence links gut microbiota to host lipid metabolism and lipoprotei... read more

Machine learning for predicting CKD stages in patients with autosomal dominant polycystic kidney disease: a nationwide cohort study in Japan.

Scientific reports Feb 13, 2026

Enhancing digital mapping of soil organic carbon through spatial modeling and validation.

Scientific reports Feb 13, 2026

Temporal influence maximization via continuous-time graph neural networks and deep reinforcement learning.

Scientific reports Feb 13, 2026

Influence maximization (IM) seeks to identify a subset of key nodes that maximize the spread of information or behavior through a network. While traditional IM approaches rely on static topologies or coarse-grained temporal snapshots, real-world soci... read more

Multi-scale fusion transformer for EV charging station load prediction.

Scientific reports Feb 13, 2026

Electric vehicle (EV) charging station load prediction is crucial for ensuring the stable operation of power grids and optimizing charging infrastructure. However, the stochastic nature of charging behaviors and the complex influence of external fact... read more

Artificial Intelligence Medical Compendium

Lightweight scalable deep learning framework for real time detection of potato leaf diseases.

Multi-class eye disease classification using deep learning EfficientNetB0 fusion techniques.

Design and predictive modeling of a veterinary drug detection sensor in paddy field water based on artificial neural networks.

Harvesting insights: interpretable machine learning to understand environmental drivers of U.S. maize and soybean yield.

Study on pore features in sintered die-attach microstructures based on machine learning.

Disease-specific crosstalk of Alistipes with lipoprotein profiles in overweight individuals at high cardiometabolic risk.

Machine learning for predicting CKD stages in patients with autosomal dominant polycystic kidney disease: a nationwide cohort study in Japan.

Enhancing digital mapping of soil organic carbon through spatial modeling and validation.

Temporal influence maximization via continuous-time graph neural networks and deep reinforcement learning.

Multi-scale fusion transformer for EV charging station load prediction.

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Artificial Intelligence Medical Compendium

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