45 Result(s)
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Chapter and Conference Paper
BiLSTM Deep Learning Model for Heart Problems Detection
Deep learning architectures find applications where analysis of complex data inputs is demanding and regular neural networks may have problems. There are many types of deep learning models, however the most im...
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Chapter and Conference Paper
Algorithm for Solving Optimal Placement of Routers in Mines
In this paper we present a model of optimization in a form of an algorithm which solves optimal placement of routers in N chambers with ...
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Chapter and Conference Paper
Semantic Segmentation Neural Network in Automatic Weapon Detection
The goal of this paper is to introduce a semantic segmentation neural network designed for the detection of firearms. The proposed network applies a fully convolutional architecture, incorporating features suc...
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Chapter and Conference Paper
Architecture Monitoring and Reliability Estimation Based on DIP Technology
All civil infrastructure units demand regular inspection to avoid functional and structural damages. Periodic examinations are in accordance with classification society’s standards which contain both non-destr...
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Chapter and Conference Paper
Multimodal Image Fusion Method Based on Multiscale Image Matting
Multimodal image fusion combines the complementary information of multimodality images into a single image that preserves the information of all the source images. This paper proposes a multimodal image fusion...
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Chapter and Conference Paper
Federated Learning Model with Augmentation and Samples Exchange Mechanism
The use of intelligent solutions often comes down to the use of already trained classifiers, which is caused by one of their biggest drawbacks. It is the accuracy or effectiveness of artificial intelligence me...
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Chapter and Conference Paper
Encoder-Decoder Based CNN Structure for Microscopic Image Identification
The significant development of classifiers has made object detection and classification by using neural networks more effective and more straightforward. Unfortunately, there are images where these operations ...
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Chapter and Conference Paper
SURF Algorithm with Convolutional Neural Network as Face Recognition Technique
Recent developments in technology need the methods to become more efficient in various conditions. We can see this situation is much visible in multimedia and verification, where biometrics are used to recogni...
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Chapter and Conference Paper
Data Augmentation Using Principal Component Resampling for Image Recognition by Deep Learning
Image recognition by deep learning usually requires many sample images to train. In case of a small number of images available for training, data augmentation techniques should be applied. Here we propose a no...
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Chapter and Conference Paper
Multi-agent Architecture for Internet of Medical Things
The technological advancements in recent years has enabled the creation of the Internet of Medical Things, i.e. solutions where medical devices can communicate with each other and exchange data. The guiding id...
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Chapter and Conference Paper
Iterative Design and Implementation of Rapid Gradient Descent Method
Solvers of nonlinear systems of equations are important in software engineering. There are various methods which use gradient approach to find the solution in accordance to gradient descent. This paper presen...
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Chapter and Conference Paper
Gamification of Eye Exercises for Evaluating Eye Fatigue
Extensive use of computer and mobile devices places large burden on our eyes. To tackle the symptoms of digital eye strain and improve eyesight, the use of eye exercises are suggested. However, few people do e...
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Chapter and Conference Paper
Block Matching Based Obstacle Avoidance for Unmanned Aerial Vehicle
Unmanned aerial vehicles (UAVs) are becoming very popular now. They have a variety of applications: search and rescue missions, crop inspection, 3D map**, surveillance and military applications. However, man...
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Chapter and Conference Paper
Exploiting OSC Models by Using Neural Networks with an Innovative Pruning Algorithm
In this paper we have investigated the relationship between the current and the active layer thickness of an organic solar cell (OSC) in order to improve its efficiency by means of a back propagation neural ne...
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Chapter and Conference Paper
The Impact of the Cost Function on the Operation of the Intelligent Agent in 2D Games
A large part of the technology development depends on the needs of users. Apart from the hardware requirements for programs used by large companies or smaller groups, the wide applications and hardware load ar...
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Chapter and Conference Paper
Performance Evaluation of DBN Learning on Intel Multi- and Manycore Architectures
In our previous papers [12, 13], we proposed the parallel realization of the Deep Belief Network (DBN). This research confirmed the potential usefulness of the first generation of the Intel MIC architecture for i...
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Chapter and Conference Paper
Sentiment Analysis of Lithuanian Texts Using Deep Learning Methods
We describe experiments in sentiment analysis of the Lithuanian texts using the deep learning methods: Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN). Methods used with pre-trained Lithua...
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Chapter and Conference Paper
Nonnegative Matrix Factorization Based Decomposition for Time Series Modelling
We propose a novel method of time series decomposition based on the non-negative factorization of the Hankel matrix of time series and apply this method for time series modelling and prediction. An interim (su...
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Chapter and Conference Paper
Combining SVD and Co-occurrence Matrix Information to Recognize Organic Solar Cells Defects with a Elliptical Basis Function Network Classifier
This paper presents a new methodology based on elliptical basis function (EBF) networks and an innovative feature extraction technique which makes use of the co-occurrence matrices and the SVD decomposition in...
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Chapter and Conference Paper
A Neural Network Pattern Recognition Approach to Automatic Rainfall Classification by Using Signal Strength in LTE/4G Networks
Accurate and real time rainfall levels estimations are very useful in various applications of hydraulic structure design, agriculture, weather forecasting, climate modeling, etc. An accurate measurement of rai...
