25 Result(s)
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Article
Blockchain-based federated learning with checksums to increase security in Internet of Things solutions
Federated learning is becoming a practical solution for machine learning (ML) in industry. This is due to the possibility of implementing artificial intelligence (AI) systems and training its models on private...
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Chapter and Conference Paper
Human-AI Collaboration to Increase the Perception of VR
Virtual reality (VR) is gaining popularity very fast due to newer solutions that increase user perception. Glasses, sensors, and treadmills are the basic functionality for immersing yourself in a virtual envir...
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Chapter and Conference Paper
Decentralized Federated Learning Loop with Constrained Trust Mechanism
Federated learning has made it possible to introduce parallel training of deep neural networks by multiple users. The use of model aggregation contributes to the generalization of it, although there is a possi...
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Article
Open AccessA heuristic approach to the hyperparameters in training spiking neural networks using spike-timing-dependent plasticity
The third type of neural network called spiking is developed due to a more accurate representation of neuronal activity in living organisms. Spiking neural networks have many different parameters that can be d...
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Article
Neural image reconstruction using a heuristic validation mechanism
Image reconstruction is a mathematical process, where the image is compressed into a small representation and derived from this form. The general use of the reconstruction technique finds a place in noise remo...
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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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Article
Open AccessIntelligent automation of dental material analysis using robotic arm with Jerk optimized trajectory
Many types of biomaterial analysis require numerous repetition of the same operations. We suggest applying the principles of Total Laboratory Automation (TLA) for analysis of dental tissues in in-vitro conditi...
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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
Empirical Mode Decomposition Based Data Augmentation for Time Series Prediction Using NARX Network
Neural networks (NNs) have recently achieved significant performance gains for time series forecasting. However, they require large amounts of data to train. Data augmentation techniques have been suggested to...
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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
Parallel Processing of Computed Tomography Images
Medical research is not only expensive but also time-consuming, what can be seen in the queues, and then after the waiting time for the analysis of the effects obtained from tests. In the case of computed tomo...
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Chapter and Conference Paper
Accident Prevention System During Immersion in Virtual Reality
More and more development under the sign of reality modification brought glasses that do not require connection to the phone, and all calculations can be performed on a connected computer. An additional advant...
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Chapter and Conference Paper
Environment Scene Classification Based on Images Using Bag-of-Words
We analyse the environment scene classification methods based on the Bag of Words (BoW) model. The BoW model encodes images by a bag of visual features, which is a sparse histogram over a dictionary of visual ...
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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
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...
