Indicators for Gleevec nonadherence were cognitive functioning, global health status score, social support, gender and others ...

This blog explores the benefits of applying Large Language Models to extract information from pathology reports, allowing us to curate bespoke ...

Delirium Prediction, ICU Monitoring, Deep Learning, Attention Mechanism, LSTM Model, Time-Series Analysis, Risk Stratification Share and Cite: de Filippis, R. and Foysal, A.Al (2025) Enhanced ...

From karting circuits in Singapore to the grand racing tracks of Europe, Dion Gowda is speeding toward a dream fueled by ...

Malicious URLs are among the most common vectors for cyberattacks, enabling phishing, malware distribution, and data theft.

At first glance, machine learning might seem mysterious, but it’s built on a logical foundation. Let’s explore how each step ...

The model’s effectiveness is evaluated using five key performance metrics: accuracy, precision, recall, F1 score, and the AUC-ROC curve. Additionally, the study investigates the impact of various ...

Model performance was evaluated using metrics such as accuracy, precision, recall, and F1 score, alongside loss graphs and confusion matrices. The highest accuracy at 99% was attained by the LSTM ...

Will basically enable to have a soft start. Dataset 1 baseline score: precision recall f1-score support Benign 0.95715 0.93922 0.99792 480 Malware 0.99799 0.94129 0.96881 528 accuracy 0.96825 1008 ...

Fine-tunes the last layers, applies image augmentation, and evaluates with Precision, Recall, AUC, F1 score, and early stopping for improved performance.