AI Medical Compendium

Importance of balanced datasets with feature selection and ensemble methods on heart disease classification using distinctive machine learning techniques: a comparative analysis.

Scientific reports Apr 7, 2026

Research on lung nodule detection in X-ray plain films based on improved YOLOv12 model.

Scientific reports Apr 7, 2026

To improve automatic lung nodule detection in chest X-ray images, this study proposes an improved YOLOv12-based detection framework by integrating space-to-depth convolution (SPDConv), a dynamic upsampling module (DySample), and a lightweight feature... read more

Mitigating label noise in network intrusion detection via graph-based sample selection and purification.

Scientific reports Apr 7, 2026

Machine learning has achieved notable progress in malicious traffic detection, yet its effectiveness highly depends on data that are sufficiently large and reliably labeled. In practice, many datasets are produced by automated labeling pipelines, whi... read more

Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings.

Scientific reports Apr 7, 2026

Optical gas sensors based on photonic structures offer label-free, real-time detection with high sensitivity, but their design optimization remains computationally expensive. We present a hybrid machine learning framework that automates the inverse d... read more

An explainable GeoAI framework for spatial assessment of wildfire susceptibility in the Upper Ravi sub-basin, Indian Himalaya.

Scientific reports Apr 7, 2026

Visually meaningful image encryption using convolution neural networks.

Scientific reports Apr 7, 2026

MRR-YOLO: an instance segmentation technique for ground-based cloud images.

Scientific reports Apr 7, 2026

Clouds significantly affects the power output of solar energy systems, and it also decrease the life of modules in photovoltaic system and receivers in the concentrating solar power system, resulting in costs of operation and maintenance. In the pres... read more

Machine and Deep Learning Reveal Sequence Determinants Encoding Bivalent Histone Modifications.

Communications biology Apr 7, 2026

Bivalent histone modifications, marked by the coexistence of activating and repressive histone marks, define a distinctive chromatin state with key roles in developmental gene regulation. However, the specific sequence features that distinguish bival... read more

Signal extraction in SWAXS data for the compact X-ray light sources: a machine learning approach.

Scientific reports Apr 7, 2026

The development of X-ray free electron lasers has driven significant progress in X-ray science. Given the broad range of their applications, implementing a new generation of this technology at the laboratory scale has been under consideration for sev... read more

Retraction Note: Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite.

Scientific reports Apr 7, 2026

Artificial Intelligence Medical Compendium

Importance of balanced datasets with feature selection and ensemble methods on heart disease classification using distinctive machine learning techniques: a comparative analysis.

Research on lung nodule detection in X-ray plain films based on improved YOLOv12 model.

Mitigating label noise in network intrusion detection via graph-based sample selection and purification.

Accelerating photonic gas sensor design: machine learning-driven inverse optimization of silicon photonics Bragg gratings.

An explainable GeoAI framework for spatial assessment of wildfire susceptibility in the Upper Ravi sub-basin, Indian Himalaya.

Visually meaningful image encryption using convolution neural networks.

MRR-YOLO: an instance segmentation technique for ground-based cloud images.

Machine and Deep Learning Reveal Sequence Determinants Encoding Bivalent Histone Modifications.

Signal extraction in SWAXS data for the compact X-ray light sources: a machine learning approach.

Retraction Note: Machine learning framework for oxytetracycline removal using nanostructured cupric oxide supported on magnetic chitosan alginate biocomposite.

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