Abstract: Conventional machine learning approaches in precision agriculture improve soil prediction but fail to account for feature congruence between samples and prediction environments, resulting in ...

Abstract: With the wide application of convolutional neural network in the field of computer vision, its security problem has attracted increasing attention. The threat of confronting samples for ...

qiskit-getting-started/ ├── 📂 src/ # Core quantum modules │ ├── 📂 basic_circuits/ # Fundamental quantum circuits │ ├── 📂 algorithms/ # Quantum algorithms implementation │ └── 📂 utils/ # Simulation ...

Using longitudinal data on more than 370 000 older Japanese adults, we found that living in constituencies represented by pro-tobacco legislators was associated with higher smoking prevalence. The ...

As dementia cases continue to rise in the United States, new research from the University of Michigan School of Public Health ...

object-tracking-opencv/ │ ├── assets/ │ ├── banner.png │ └── sample_output.png │ ├── main/ # Initial Demo & Tracker Comparison │ ├── intro_demo.py │ └── comparison.py │ ├── trackers/ # Different types ...

Objectives Anti-neutrophil cytoplasmic antibody-associated vasculitis (AAV) is a systemic autoimmune disease where infections ...

Hypertension is the leading risk factor for cardiovascular disease, the most common cause of death worldwide. Less than half the people with high blood pressure are aware of their diagnosis, and only ...

Introduction Atrial fibrillation (AF), with a prevalence of 1–2%, is the most common cardiac arrhythmia. AF is associated with a fivefold increased risk of cardioembolic events; approximately 20% of ...

Background Coronary microvascular dysfunction (CMD) is associated with a poor prognosis but is difficult to diagnose non-invasively. In a recent paper, ST-segment depression on exercise-ECG was found ...