Mr.Chongwei Shi Enhances Genomic Analysis Through Signal Processing and Machine Learning Integration for Gene Identification

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral ...
How-To Geek on MSN

Stop crashing your Python scripts: How to handle massive datasets on any laptop

How chunked arrays turned a frozen machine into a finished climate model ...
IEEE

A Machine Learning Approach to Predict and Analyze Student Academic Performance Using Random Forest and SVM with SMOTE for Imbalanced Data Handling

Abstract: Education plays a crucial role in shaping the quality of human resources. One of the indicators of the effectiveness of the learning process is the academic achievement of students.
Hacker

Future Directions in Hyperbolic SVM and Geometric Machine Learning

Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane majestic. Amplifying words and ideas to separate the ordinary from the extraordinary, making the mundane ...
Frontiers

Early detection of soybean mosaic virus using portable Raman spectroscopy coupled with machine learning

Introduction: Soybean mosaic virus (SMV) is one of the major pathogens affecting global soybean yield and quality, and its early and accurate detection is essential for disease warning and precision ...
IEEE

Imbalanced Data Problem in Machine Learning: A Review

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...