16 Result(s)
within
Conference Paper
Marcin Wozniak
Algorithm Analysis and Problem Complexity
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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
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
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
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
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
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
Photo-Electro Characterization and Modeling of Organic Light-Emitting Diodes by Using a Radial Basis Neural Network
In this paper we present a new RBFNNs neural networks based model to relate the overall OLEDs electroluminescent density as a function of the voltage and current at different wavelengths. The polymer-based OLE...
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Chapter and Conference Paper
State Flip** Based Hyper-Heuristic for Hybridization of Nature Inspired Algorithms
The paper presents a novel hyper-heuristic strategy for hybridization of nature inspired algorithms. The strategy is based on switching the state of agents using a logistic probability function, which depends ...
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Chapter and Conference Paper
Efficient Execution of Erasure Codes on AMD APU Architecture
Erasure codes such as Reed-Solomon codes can improve the availability of distributed storage in comparison with replication systems. In previous studies we investigated implementation of these codes on multi/m...
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Chapter and Conference Paper
Creating Learning Sets for Control Systems Using an Evolutionary Method
The acquisition of the knowledge which is useful for develo** of artificial intelligence systems is still a problem. We usually ask experts, apply historical data or reap the results of mensuration from a re...
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Chapter and Conference Paper
Towards Efficient Execution of Erasure Codes on Multicore Architectures
Erasure codes can improve the availability of distributed storage in comparison with replication systems. In this paper, we focus on investigating how to map systematically the Reed-Solomon and Cauchy Reed-Sol...
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Chapter and Conference Paper
Parallel Implementation of Conjugate Gradient Method on Graphics Processors
Nowadays GPUs become extremely promising multi/many-core architectures for a wide range of demanding applications. Basic features of these architectures include utilization of a large number of relatively simp...
