Abstract: This paper proposes a stacked ensemble of deep neural networks designed to predict true path loss values that are unobservable beyond the censoring threshold, which is determined by the ...

Abstract: The multistep-ahead prediction is one of the most challenging problems in the field of soft sensing. Traditional time-series prediction methods for soft-sensing applications cannot fully ...

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...

Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory, forward propagation, backpropagation, and coding step by step for a hands ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Electroencephalography (EEG) and functional Magnetic Resonance Imaging (fMRI) are two widely used neuroimaging techniques, with complementary strengths and weaknesses. Predicting fMRI activity from ...

State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China ...

Introduction: Most farmers in Nigeria lack knowledge of their farmland’s nutrient content, often relying on intuition for crop cultivation. Even when aware, they struggle to interpret soil information ...

The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jcim.5c01525. Efficiency analysis of different normalization strategies ...

ABSTRACT: Intelligent vehicles require strong cybersecurity. The 2021 UNECE WP.29 regulation mandates OEMs to establish Vehicle Security Operation Centers (VSOC), where Intrusion Detection Systems ...