Abstract: Accurate medical image segmentation is crucial for clinical diagnosis and treatment planning. However, class imbalance and vagueness of boundary in medical images make it challenging to ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
The U.S. healthcare system generates massive volumes of data spanning patients, treatments, and billing but real datasets are often inaccessible due to privacy laws like HIPAA. This project was ...
ABSTRACT: Mathematical optimization is a fundamental aspect of machine learning (ML). An ML task can be conceptualized as optimizing a specific objective using the training dataset to discern patterns ...
In this tutorial, we delve into the creation of an intelligent Python-to-R code converter that integrates Google’s free Gemini API for validation and improvement suggestions. We start by defining the ...
Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...
#!/usr/bin/python import os from langfuse import Langfuse from urllib.parse import quote # zouding-org os.environ["LANGFUSE_PUBLIC_KEY"] = "pk-xxx" os.environ ...
Abstract: The What's Cracking app can predict how changes in crystalline silicon photovoltaic (PV) module materials, design, and mounting affect its susceptibility for cell fracture under uniform ...
Cybersecurity researchers have uncovered malicious libraries in the Python Package Index (PyPI) repository that are designed to steal sensitive information and test stolen credit card data. "The ...
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