Machine learning model improves accuracy of liquid biopsy results

A machine learning model developed by researchers at the Johns Hopkins Kimmel Cancer Center filters out the biological noise ...
Tech Xplore

AI worldview convergence claim weakens as high-dimensional math skews similarity scores

Two years ago, researchers at MIT proposed a provocative idea: As AI models become more powerful, they begin to see the world ...
SciELO

LEAF NITROGEN CLASSIFICATION OF COMMON BEAN (PHASEOLUS VULGARIS L.) USING DEEP LEARNING MODELS AND IMAGES

Beans are a legume that is widely grown and consumed globally, being the staple food for humans in developing countries. Nitrogen (N) is the most limiting nutrient for yield and foliar analysis is ...
Wilson Center

Positive Use Cases of “Deepfakes”

As artificial intelligence (AI) models are increasingly capable of producing more life-like content, there has been an understandable hesitancy regarding “deepfakes” and their potential negative ...
Europe PMC

Probabilistic assessment of wind power plant energy potential through a copula-deep learning approach in decision trees.

In this study, we introduce a framework based on Copula-Deep Learning within the context of decision trees. The main objective is to enhance the assessment of the wind power potential of a site by ...
scienceopen.com

Fraud Detection using Machine Learning

Keywords: Fraud detection, Machine learning, Feature engineering, Random Forest, Gradient Boosting, Logistic Regression, Deep learning. The winding path of this research into fraud detection using ...
Scientific Research Publishing

Modelling Dependence of Cryptocurrencies Using Copula Garch ()

1 Department of Mathematics, Pan African University, Nairobi, Kenya. 2 Department of Mathematics, Statistics and Actuarial Sciences, Dedan Kimathi University of Science and Technology, Nyeri, Kenya. 3 ...
IEEE

Modeling and Forecasting Short-Term Power Load With Copula Model and Deep Belief Network

Abstract: Load forecasting is critical for effective scheduling and operation of power systems, which are becoming increasingly complex and uncertain, especially with the penetration of distributed ...