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In this study, a novel Quantum Self-Attention Neural Network for Multi-Model Aerial Image Classification (QSANN-MAIC) is proposed. The objective of this paper is to develop a high-performance learning framework capable o...

Abstract The Broad Learning System (BLS) provides an effective framework for nonlinear mapping, offering advantages over traditional deep neural networks through its expanded input node architecture. While BLS has demons...

Power electronic devices are used to integrate clean energy systems (CES) like wind, solar, and other energy sources into the grid to meet the load demand. The parallel operated-inverters (POI) can improve the power capa...

The growth of variable renewable energy sources has increased the occurrence of curtailment in power systems, particularly in regions affected by transmission constraints and limited operational flexibility. Reliable for...

Electroencephalography (EEG) is a crucial technique for interpreting neurocognitive functions and the underlying neural information. Despite its advantages, such as high portability, cost-effectiveness and exceptional te...

Forest growth and yield projection is essential for sustainable forest management planning. In Brazil, the Clutter model is widely applied for yield forecasting and commonly achieves prediction errors below 10%. However,...

Goal: To enable comfortable and non-invasive heart rhythm monitoring, this work aims to reconstruct electrocardiogram (ECG) signals from photoplethysmogram (PPG) signals, eliminating the need for multiple electrode attac...

In this article, a dual band annular ring patch antenna is theoretically investigated using the equivalent circuit concept.Two symmetrical rectangular notches are etched in radiating ring patch with respect to feed point...

Ethylene is an important raw material, and ethylene cracking furnaces (ECFs) are the core equipment sources of ethylene plants. The quality of the operation of the ECF directly affects the overall economic benefits of th...

Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of gr...

We present the automated techniques we have developed for new software that optimally detects, deblends, measures and classifies sources from astronomical images: SExtractor (Source Extractor ). We show that a very relia...

We derive a new self-organizing learning algorithm that maximizes the information transferred in a network of nonlinear units. The algorithm does not assume any knowledge of the input distributions, and is defined here f...

Materias / palabras clave: Computer science; Feed forward; Feedforward neural network; Artificial intelligence; Artificial neural network; Control theory (sociology); Control engineering; Control (management); Engineering

Materias / palabras clave: bioengineering, biomedical engineering, human performance measurement, rehabilitation engineering; Medicine: Medicine (General): Medical technology; Medicine: Therapeutics. Pharmacology

Materias / palabras clave: tissue engineering, cellular engineering, neural engineering, biomechanics, biomaterials, biomedical imaging and devices; Medicine: Medicine (General): Medical technology

Materias / palabras clave: particle swarm optimization, artificial neural networks, neuro-fuzzy systems, machine learning, data mining, genetic programming; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Compute...

Materias / palabras clave: machine learning, artificial intelligence, computational physics, reinforcement learning, neural networks, applied algorithms; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer e...

Materias / palabras clave: physical layer techniques, network management, network signal processing, neural networks and machine learning, bayesian networks and statistical inference, tensor networks; Technology: Electrical engineering. Electronic...