A complete AI & Machine Learning Mini Project in Python designed to analyze student academic performance and behavioral patterns. The project utilizes supervised learning to predict placement outcomes ...

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EMBED <iframe src="https://archive.org/embed/sgng.17491-predictive-analysis-of-placement-of-mca-students-using-machine-le" width="560" height="384" frameborder="0 ...

Abstract: A novel framework is proposed for the trajectory design of multiple unmanned aerial vehicles (UAVs) based on the prediction of users' mobility information. The problem ofjoint trajectory ...

All analyses were performed using IBM SPSS 23.0 and Python 3.12.13. Machine learning models Five algorithms were used: logistic regression, elastic net regression, random forest, gradient boosting ...

Association of inpatient outcomes with cannabis use disorder in head and neck cancer. The performance analysis of PINN-based PEG feeding tube prediction models.

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Self-Organization of Complex Physiological Networks: Synergetic Principles and Applications — In Memory of Hermann Haken ...

Abstract: Modern data-intensive applications demand efficient orchestration across heterogeneous storage tiers, ranging from high-performance DRAM to cost-effective cloud storage. Existing tiered ...

For years, the advertising model was contextual. If an insurance provider wanted to sell its product, it would prioritize advertising on insurance-related sites. The thinking was that you had to go ...

Chronic wounds remain a major health care challenge, especially for people with diabetes, who often experience delayed ...

Every trader searches for an edge. Some look for better indicators. Others rely on artificial intelligence, advanced charting ...