Reliable and scalable water level prediction is crucial in hydrology for effective water resources management, especially ...

Overview Neural networks courses in 2026 focus heavily on practical deep learning frameworks such as TensorFlow, PyTorch, and Keras.Growing demand for AI profes ...

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...

Flash floods are among the deadliest weather events in the world, killing more than 5,000 people each year. They’re also among the most difficult to predict. But Google thinks it has cracked that ...

Abstract: Differentiating myocardial scar tissue from healthy myocardium and imaging artifacts is essential in clinical practice. This study investigates the feasibility of using radiomics and deep ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...

When Covid-19 struck in 2020, Sashikumaar Ganeshan at the Indian Institute of Science, Bangalore built a model to predict the spread of the contagion, marking his deep immersion into AI technologies.

Abstract: This research addresses the challenge of camera calibration and distortion parameter prediction from a single image using deep learning models. The main contributions of this work are: (1) ...

Bitcoin’s Lightning Network topped $1.17 billion in November monthly volume across 5.22 million transactions, according to River Financial, which says the milestone reflects growing adoption despite ...