This system provides an automated solution for blood cell detection and analysis using computer vision and machine learning techniques. The application features a web-based interface built with ...

Quantum machine learning is a hybrid approach that combines classical data with quantum computing methods. In classical computing, data is stored in bits encoded as a 0 or 1. Quantum computers use ...

A dual-approach Breast Cancer Prediction system using Machine Learning and Deep Learning. Includes EDA, model comparison (KNN, RF, Logistic), ANN with Keras, and hyperparameter tuning using ...

1 School of Mechanical Engineering, Universidad Industrial de Santander, Bucaramanga, Colombia 2 Industrial Multiphase Flow Laboratory (LEMI), Mechanical Engineering Department, São Carlos School of ...

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...

A mobile ultrasonic stratified flow velocity measurement device, which utilizes a pair of ultrasonic transducers, was characterized by its low power consumption and the ability to measure multi-layer ...

Abstract: Optimization of deep learning models for embedded CPUs presents numerous challenges stemming from limited computational resources, memory constraints, thread synchronization overhead, and ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Genome editing has advanced at a rapid pace with promising results for treating genetic conditions -- but there is always room for improvement. A new paper showcases the power of scalable protein ...