AI Medical Compendium

Emotion-driven front-end design of NEVs using an improved LSTM with LDA-based emotion mining.

Scientific reports Apr 2, 2026

Due to the inherent subjectivity of Kansei perception, aligning the front-end styling of new energy vehicles (NEVs) with users' emotional preferences remains a complex challenge. This study proposes a data-driven framework integrating semantic mining... read more

Comparative performance of recent and prior large language models and pediatric residents on pediatric in-training examination questions.

Scientific reports Apr 2, 2026

Pareto-optimized stacked ensemble machine learning framework for predicting bearing capacity of driven piles from static load test data.

Scientific reports Apr 2, 2026

Since traditional empirical methods frequently fail to capture complex soil-pile interactions, accurately evaluating the bearing capacity of driven piles remains a critical yet difficult task in geotechnical engineering. In this regard, this study pr... read more

Mixed order single variable intuitionistic fuzzy time series forecasting method based on a new artificial neural network and grey wolf optimization algorithm.

Scientific reports Apr 2, 2026

HEAL: health-enhanced adaptive LoRaWAN for AI-based real-time soldier monitoring and status prediction.

Scientific reports Apr 2, 2026

Continuous and reliable monitoring of soldiers' health in remote and resource-constrained environments is essential for operational readiness and timely emergency interventions. Long Range Wide Area Network (LoRaWAN) provides an energy-efficient, lon... read more

A machine learning model for post-operative sepsis prediction in acute surgical patients: a multi-centre, prospective study.

Scientific reports Apr 2, 2026

Enhancing lung diseases recognition through CNN-RNN methodologies.

Scientific reports Apr 2, 2026

Diagnostics of respiratory disorders greatly benefit from medical imaging, especially X-ray imaging, which offers important information about the anatomical anomalies of the lungs. As we delve deeper into the field of lung illness recognition, it bec... read more

An effective AI infused demand forecasting application for automotive spare parts industry: a real case from Turkey.

Scientific reports Apr 2, 2026

Deep learning detection of ectopic canines and molars in mixed dentition.

Scientific reports Apr 2, 2026

Enhancing COVID-19 forecasts with a lightweight multi-head depthwise separable convolution network.

Scientific reports Apr 2, 2026

To address the challenge of forecasting COVID-19 with limited data, this paper presents CDSCnet (Chunking Depthwise Separable Convolution network). It is a lightweight model designed for small datasets, employing three fixed convolution heads to capt... read more

Artificial Intelligence Medical Compendium

Emotion-driven front-end design of NEVs using an improved LSTM with LDA-based emotion mining.

Comparative performance of recent and prior large language models and pediatric residents on pediatric in-training examination questions.

Pareto-optimized stacked ensemble machine learning framework for predicting bearing capacity of driven piles from static load test data.

Mixed order single variable intuitionistic fuzzy time series forecasting method based on a new artificial neural network and grey wolf optimization algorithm.

HEAL: health-enhanced adaptive LoRaWAN for AI-based real-time soldier monitoring and status prediction.

A machine learning model for post-operative sepsis prediction in acute surgical patients: a multi-centre, prospective study.

Enhancing lung diseases recognition through CNN-RNN methodologies.

An effective AI infused demand forecasting application for automotive spare parts industry: a real case from Turkey.

Deep learning detection of ectopic canines and molars in mixed dentition.

Enhancing COVID-19 forecasts with a lightweight multi-head depthwise separable convolution network.

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