Finnish birdwatchers' app data fuel world's most accurate model for predicting bird occurrence

New cutting-edge research, led by Academy Professor Otso Ovaskainen of the University of Jyväskylä and David Dunson at Duke ...
Frontiers

Machine Learning for Hydrological Modeling in Water Resource Management in Data-Scarce Regions

Data is fundamental to hydrological modeling and water resource management; however, it remains a major challenge in many ...
IEEE

Classification of Automatic Modulations using Deep Learning and Machine Learning

Abstract: In wireless communication systems, automatic modulation classification is crucial. In communication applications such as intelligent demodulators, interference detection, and monitoring, ...
Frontiers

Development of a machine learning-based risk prediction model for early-stage pneumoconiosis: a retrospective study

Background: The diagnosis of occupational pneumoconiosis requires more accurate predictive models. The purpose of this study is to screen blood markers associated with early pneumoconiosis development ...
IEEE

Deep Flower: A Deep Learning Approach for Accurate Flower Classification

Abstract: Flower classification is a challenging task in computer vision, requiring models to discern subtle visual differences among a vast array of floral species. In this project, we propose a ...
Hosted on MSN

Learning colors through flower painting

Learning Colors through Flower Painting!! Farmer who beheaded girl in Bukidnon surrenders to tribal leaders Dennis Trillo breaks silence amid blind item speculations, defends marriage to Jennylyn ...