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Neural Network Technologies for Detection and Classification of Objects
AbstractWe present a review of the basic ideas used in solving the problems of detecting and classifying objects by their images using neural network...
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Quantum mesh neural network model in precise image diagnosing
This study introduces QMNN, a quantum mesh neural network model incorporating a Quantum Neural Network Expectation (QNNE) circuit, and evaluates its...
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Multiplexed orbital angular momentum beams demultiplexing using hybrid optical-electronic convolutional neural network
Advancements in optical communications have increasingly focused on leveraging spatial-structured beams such as orbital angular momentum (OAM) beams...
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Efficient and economical smart healthcare application based on quantum optical neural network
In recent years, AI and quantum technologies have received a great deal of interest from a wide range of fields. This research introduces a novel...
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Predictions of nuclear charge radii based on the convolutional neural network
In this study, we developed a neural network that incorporates a fully connected layer with a convolutional layer to predict the nuclear charge radii...
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Dynamic research of hidden attractors in discrete memristive neural network with trigonometric functions and FPGA implementation
Compared with the traditional chaotic discrete neural network model with monotonic input–output function, the discrete neural network model with...
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Determination of the Parameters of Controlled Laser Thermal Cleavage of Crystalline Silicon Using Regression and Neural Network Models
AbstractRegression and neural network models of controlled laser thermal cleavage of crystalline silicon have been built on the basis of the results...
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Group Lasso based redundancy-controlled feature selection for fuzzy neural network
If there are a lot of inputs, the readability of the “If-then” fuzzy rule is reduced, and the complexity of the fuzzy neural network structure will...
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Smart explainable artificial intelligence for sustainable secure healthcare application based on quantum optical neural network
Managing expanding urbanisation, energy use, environmental preservation, citizen economic and living standards, and people's ability to effectively...
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Elman neural network for predicting aero optical imaging deviation based on improved slime mould algorithm
This research suggests a methodology to optimize Elman neural network based on improved slime mould algorithm (ISMA) to anticipate the aero optical...
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Simulation of information transmission of IoT communication nodes based on fuzzy hierarchical optical neural network
As a large and complex network with uneven spatial distribution, IoT is widely used in many optical network service industries. However, in the...
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Application of optical imaging equipment based on deep neural network in basketball training game simulation
There are some limitations in traditional basketball training simulation methods, such as space limitation and manpower scheduling. Therefore, this...
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Impact of Neural Network on Malware Detection
Attacks by malware have significantly increased during the last several years, endangering the security of computer systems and networks. The...
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Autonomous Traffic Sign Detection for Self-Driving Car System Using Convolutional Neural Network Algorithm
The accurate detection of traffic signs is a critical component of self-driving systems, enabling safe and efficient navigation. In the literature,...
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Research on the quantum photonic convolutional neural network for artificial intelligence-based healthcare system security
Artificial intelligence (AI) has quickly integrated into contemporary healthcare organizations, providing a variety of purposes, including...
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Evaluating Different Malware Detection Neural Network Architectures
In today’s digital world, cutting-edge technologies in machine learning, cybersecurity, data science, and blockchain are emerging rapidly. Every day...
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Enhanced network lifespan in future wireless communication using machine learning based convolution neural networks
A collection of sensor nodes called a wireless sensor network is used to track and document the physical parameters of the surrounding area. The...
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Introducing a novel deep convolutional neural network to detect skin cancer in thermographic images
Skin cancer is a challenging disease to treat, and early detection is crucial for successful intervention. Various noninvasive diagnostic methods...
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Numerical simulations on optoelectronic deep neural network hardware based on self-referential holography
We propose a novel optoelectronic deep neural network (OE-DNN) hardware called the self-referential holographic deep neural network (SR-HDNN). The...
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Disturbance rejection in pattern recognition: a realization of quantum neural network
In the field of artificial intelligence, pattern recognition is widely used to extract the abstract information in those high dimensional inputs of...
