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A Neural Network Based Expert System for the Diagnosis of Diabetes Mellitus

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تومان
Diabetes is a disease in which the blood glucose, or blood sugar levels in the body are too high. The damage caused by diabetes can be very severe and even more pronounced in pregnant women due to the tendency of transmitting the hereditary...

Deep Artificial Neural Networks as a Tool for the Analysis of Seismic Data

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تومان
The number of seismological studies based on artificial neural networks has been increasing. However, neural networks with one hidden layer have almost reached the limit of their capabilities. In the last few years, there has been a new boom in neuroinformatics...

Do personality characteristics explain the associations between self-esteem and online social networking behaviour?

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تومان
The relationships between online social networking (OSN) behaviour and users’ selfesteem are as important as well as ambiguous: Both positive and negative self-esteem can encourage users to engage in OSNs. This work examined whether personality traits and attitudes toward traits...

EMD2FNN: A strategy combining empirical mode decomposition and factorization machine based neural network for stock market trend prediction

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تومان
Stock market forecasting is a vital component of financial systems. However, the stock prices are highly noisy and non-stationary due to the fact that stock markets are affected by a variety of factors. Predicting stock market trend is usually subject to big...

Impact of random weights on nonlinear system identification using convolutional neural networks

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Randomized algorithms have been successfully applied in modelling dynamic system. How do random weights affect system identification and why do they sometimes work well? In this paper, we use the convolutional neural network (CNN) as an identification model to answer these...

IoT security: Review, blockchain solutions, and open challenges

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تومان
With the advent of smart homes, smart cities, and smart everything, the Internet of Things (IoT) has emerged as an area of incredible impact, potential, and growth, with Cisco Inc. predicting to have 50 billion connected devices by 2020. However,...

Optimization on TEEN routing protocol in cognitive wireless sensor network

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n order to improve the energy efficiency of cognitive wireless sensor network, this paper introduces threshold-sensitive energy efficient sensor network (TEEN) routing protocol into cognitive wireless sensor network. To make routing and spectrum more stable, this paper presents advanced threshold- sensitive energy...

Rumor Source Identification in Social Networks with Time-varying Topology

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Identifying rumor sources in social networks plays a critical role in limiting the damage caused by them through the timely quarantine of the sources. However, the temporal variation in the topology of social networks and the ongoing dynamic processes challenge our traditional...

Security using Image Processing and Deep Convolutional Neural Networks

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تومان
Safety has, for a long time, been one big thing everyone is concerned about. Security breach of private locations has become a threat that everyone intends to eliminate. The traditional security systems trigger alarms when they detect a security breach. However, the usage of...
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