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THE CURRENT STATE OF ARTIFICIAL INTELLIGENCE IN RADIOLOGY – A REVIEW OF THE BASIC CONCEPTS, APPLICATIONS, AND CHALLENGES
Published 2025-03-01“…Deep learning, especially deep convolutional neural networks (CNNs), has become a prominent approach, mimicking brain functions to process images through multiple layers. …”
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Deep Neural Networks for Accurate Depth Estimation with Latent Space Features
Published 2024-12-01Get full text
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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks
Published 2024-11-01Get full text
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Spatiotemporal forecasting of the edge localized modes in tokamak plasmas using neural networks
Published 2025-01-01“…Recent research has demonstrated the power of neural networks in approximating continuous functions. …”
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Numerical Assessment of Automotive Mufflers Using FEM, Neural Networks, and a Genetic Algorithm
Published 2018-07-01“…Here, the objective function can be established by using Artificial Neural Networks (ANNs) in conjunction with the muffler’s design parameters and related TLs (simulated by FEM). …”
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Noise Elimination of Reciprocating Compressors Using FEM, Neural Networks Method, and the GA Method
Published 2017-04-01“…Additionally, to facilitate the shape optimization of the muffler, a polynomial neural network model is adopted to serve as an objective function; also, a Genetic Algorithm (GA) is linked to the OBJ function. …”
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Integrated neural network framework for multi-object detection and recognition using UAV imagery
Published 2025-07-01Get full text
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Neural network models for diagnosing recurrent aphthous ulcerations from clinical oral images
Published 2025-08-01“…Our research focuses on the advanced classification of oral ulcer stages using a convolutional neural network (CNN). To evaluate performance comprehensively, we developed and tested three custom models, comparing their effectiveness in distinguishing between different stages of oral ulcers. …”
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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network
Published 2024-09-01Get full text
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Learning Dendritic-Neuron-Based Motion Detection for RGB Images: A Biomimetic Approach
Published 2024-12-01Get full text
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A facile photonics reconfigurable memristor with dynamically allocated neurons and synapses functions
Published 2025-08-01Get full text
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Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach
Published 2017-10-01“…The paper presents a low complexity recurrent Functional Link Artificial Neural Network for predicting the financial time series data like the stock market indices over a time frame varying from 1 day ahead to 1 month ahead. …”
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