The knowledge of hydraulic parameters in water distribution networks can indicate problems in real time, such as pipe bursts, small leakages, increase in pipe roughness and illegal connections.

How can a machine learning model be trained to classify flowers? The fundamental question behind this is how a machine learning model categorizes data like the flower pictures. Adaline (Adaptive ...

ABSTRACT: The diversity of snail intermediate hosts of schistosomes and infection rates are influenced by environmental determinants. Knowledge of these local environmental determinants is an ...

Journal Editorial Report: The Fed Chief signals rate cuts are coming. As we saw during the Covid pandemic, lab-created experiments can wreak havoc when they escape their confines. Once released, they ...

Department of Mechanical Systems Engineering, Shinshu University, Nagano, Japan. A sharp turn channel is a U-shaped two-way channel with a rectangular cross section that features a 180-degree turn.

Abstract: In this article, we propose a distributional policy-gradient method based on distributional reinforcement learning (RL) and policy gradient. Conventional RL algorithms typically estimate the ...

Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States Introduction: Computational models play an increasingly important role in describing variation in ...

Find out why backpropagation and gradient descent are key to prediction in machine learning, then get started with training a simple neural network using gradient descent and Java code. Most ...

Modeled on the human brain, neural networks are one of the most common styles of machine learning. Get started with the basic design and concepts of artificial neural networks. Artificial intelligence ...