Researchers from Nanjing University have published a research article in ExRNA, presenting a novel approach for detecting ...

The integration of ML-driven cybersecurity frameworks into financial institutions is an ongoing process, requiring continuous ...

Feature selection is a critical process in ML that helps eliminate irrelevant or redundant variables, leading to better ...

Sandeep Batchu's research underscores the transformative potential of AI-human collaboration in cloud infrastructure ...

Computer scientists have developed a powerful machine learning model that can detect toxic social media comments with ...

Accurate estimation of the State of Charge (SoC) in lithium-ion batteries is a pivotal factor for optimizing the performance, ...

The study presents a useful computational analysis of how the ratio between excitatory and inhibitory neural numbers affects coding capacity. The authors show that increasing the proportion of ...

This project implements an image classification model to distinguish between cats and dogs using Support Vector Machines (SVM) and Histogram of Oriented Gradients (HOG) features. The model processes ...

A new machine-learning model developed by a team of researchers from Australia and Bangladesh is making waves in the fight ...

along with a machine learning model (support vector machine or SVM) to identify tweets containing the word "hot" in Japanese. The team successfully collected about 27,040 tweets over a five-year ...