AI Medical Compendium

A framework for a national cancer imaging repository in Nigeria.

Scientific reports Apr 3, 2026

Developing a custom loss function for regulating underestimation and overestimation of concrete mechanical properties predictions in neural network models.

Scientific reports Apr 3, 2026

Single-channel EEG-based seizure prediction using deep learning.

Scientific reports Apr 3, 2026

Reliable seizure prediction can improve patient safety by enabling timely protective actions, yet most high-performing approaches depend on multichannel EEG, limiting feasibility in wearable and low-power environments. This study developed an ultrali... read more

Correlation analysis between the collapsibility of loess and physicomechanical indices in Longdong region and prediction of the collapsibility coefficient based on machine learning.

Scientific reports Apr 3, 2026

Against the backdrop of booming engineering construction in loess areas, achieving rapid and accurate prediction of the loess collapsibility coefficient is of great significance. This study takes the loess in the Longdong area as the research object.... read more

Data-driven prediction of microhardness and tensile strength in microwave-sintered ZrC reinforced AA7075/SiC hybrid composites using machine learning.

Scientific reports Apr 3, 2026

A novel intelligent framework for harnessing underground thermal energy through the optimization of grout and backfill thermophysical properties.

Scientific reports Apr 3, 2026

Borehole heat exchanger-assisted underground thermal energy storage systems are increasingly employed to enhance the reliability of renewable and geothermal energy supply, yet their operational effectiveness is constrained by complex and nonlinear in... read more

MRI-based brain tumor prediction using convolutional neural network framework.

Scientific reports Apr 3, 2026

MoSA-Det: motion state adaptive object detection for sports videos.

Scientific reports Apr 3, 2026

Object detection in sports videos serves as a fundamental task for applications such as intelligent broadcasting, tactical analysis, and athlete tracking. Existing methods face two critical challenges when processing sports scenarios: (1) Motion blur... read more

Predicting repurchase behavior and optimizing marketing for e-commerce users with genetic algorithms and deep learning.

Scientific reports Apr 3, 2026

The quick expansions of e-commerce have increased competition, made client retention and repurchased predictions vital for sustainable corporate success. Traditional Deep Learning (DL) algorithms frequently fall short of collecting complex behavioral... read more

A deep learning approach to assess transendothelial cell trafficking performance.

Scientific reports Apr 3, 2026

Transendothelial migration (TEM), is a complex, multistep process impacted by diseases like autoimmune disorders and cancer. Deciphering aspects of the process enhances our understanding and possibilities for disease treatments. The extent to which t... read more

Artificial Intelligence Medical Compendium

A framework for a national cancer imaging repository in Nigeria.

Developing a custom loss function for regulating underestimation and overestimation of concrete mechanical properties predictions in neural network models.

Single-channel EEG-based seizure prediction using deep learning.

Correlation analysis between the collapsibility of loess and physicomechanical indices in Longdong region and prediction of the collapsibility coefficient based on machine learning.

Data-driven prediction of microhardness and tensile strength in microwave-sintered ZrC reinforced AA7075/SiC hybrid composites using machine learning.

A novel intelligent framework for harnessing underground thermal energy through the optimization of grout and backfill thermophysical properties.

MRI-based brain tumor prediction using convolutional neural network framework.

MoSA-Det: motion state adaptive object detection for sports videos.

Predicting repurchase behavior and optimizing marketing for e-commerce users with genetic algorithms and deep learning.

A deep learning approach to assess transendothelial cell trafficking performance.

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Artificial Intelligence Medical Compendium

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