Browsing Universiteto leidyba / University's Publishing by Publisher "IEEE"
Dabar rodomi įrašai 1-20 iš 283
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Acceleration of HOG based pedestrian detection in FIR camera video stream
(2018 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 26, 2018, Vilnius, Lithuania, 2018)Pedestrian detection is one the main problem for the automotive applications which is a challenging task to do. In recent years, the number of approaches was developed to speed up the detection rate and accuracy. However, ... -
Adaptability of majority carrier concentration permanence assumption in modelling of the p-n junction-based semiconductor devices
(2015 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 21, 2015, Vilnius, Lithuania, 2015)The equations, which relate the boundary concentrations of majority carriers with the voltage drop across the p-n junction, have been derived. The derivation is carried out on the basis of the Boltzmann relations and charge ... -
Adaptation of Convolution and Batch Normalization Layer for CNN Implementation on FPGA
(2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania, 2019)The article presents integration process of convolution and batch normalization layer for further implementation on FPGA. The convolution kernel is binarized and merged with batch normalization into a core and implemented ... -
Adaptive joint tracking of nonstationary system unknown parameters including the time delay
(2017 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2017, Vilnius, Lithuania, 2017)The problem of joint parameters and time delay estimation or their tracking by processing of input-output observations arises, when LTI dynamical system has an unknown time delay. It is known that a mean-square error ... -
Adaptive Methods for Kernel Initialization of Convolutional Neural Network Model Applied to Plant Disease Classification
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Convolutional Neural Networks are instrumental in artificial intelligence, especially in image processing, where their ability to autonomously learn hierarchical features has led to significant breakthroughs. However, the ... -
Adaptive smoothing and filtering in transducers
(2016 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 19, 2016, Vilnius, Lithuania, 2016)The article discusses adaptive filtering in the measurement signals with complex dynamics. Smoothing is pro- posed to change depending on the dynamics. Dynamics is estimated by approximating the current values of linear, ... -
The adaptive temporal NMR flowmeter
(2016 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 19, 2016, Vilnius, Lithuania, 2016)This article describes a method for flow measurement of liquids containing protons. Measurements are made using by method of interaction with the test medium in a non contact manner using fields that penetrate through the ... -
Advanced Battery Management for Electric Vehicles: A Deep Dive into Estimation Techniques Based on Deep Learning for the State of Health and State of Charge of Lithium-Ion Batteries
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)The precision of state of charge (SoC) prediction prediction of the SoC is necessary to avoid deep discharging and remains an important challenge in the field of electric vehicles and overcharging, which can damage batteries ... -
Advanced Deep Learning Approaches for Automated Diagnosis of Cardiac Arrhythmia in Multi-lead ECG Signals
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Atrial fibrillation (AF) is a widespread and life-threatening heart arrhythmia disorder that affects over a million persons worldwide, predominantly older adults. The exact detection of AF is important, but the complication ... -
AI Models of Pulmonary Sarcoidosis Detection
(2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2024, Vilnius, Lithuania, 2024)Sarcoidosis, a multifaceted inflammatory disorder, often involves the ′ lungs, presenting challenges in diagnosis and management. Computed tomography (CT) imaging is pivotal in assessing pulmonary sarcoidosis, yet ... -
AI-Based Advancements for Comprehensive Mangrove Analysis Suitability Mapping
(2025 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 24, 2025, Vilnius, Lithuania, 2025)Habitat loss remains a critical global issue linked to climate change. The Philippines, recognized as a global hotspot for marine biodiversity, is home to extensive mangrove forests. Despite their ecological significance, ... -
Algorithm for real-time detection of heart rate from noisy ECG signals supported by continuous blood pressure analysis
(2015 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 21, 2015, Vilnius, Lithuania, 2015)The algorithm proposed in this paper is designed for robust identification of the heart beat annotations in multimodal data, consisting of ECG signal and one or several continuous arterial blood pressure signals. In case ... -
Analysis and Method for Reducing the Noise of a Vertical Channel of the Sampling Oscilloscope
(2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania, 2019)The approach to reduce the noise of a vertical channel of the sampling oscilloscope is presented in this paper. In general, the vertical channel of the sampling oscilloscope consists of a high-frequency sampling circuit ... -
Analysis of data pre-processing influence on intrusion detection using NSL-KDD dataset
(2017 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 27, 2017, Vilnius, Lithuania, 2017)Data pre-processing for machine learning methods is key step for knowledge discovery process. Depending on nature of the data, pre-processing might take the majority time of data analysis. Correctly prepared data for ... -
Analysis of Deep Neural Network Architectures and Similarity Metrics for Low-Dose CT Reconstruction
(2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)Computed tomography (CT) is a widely used imaging technique in the medical field. During CT procedures patients are exposed to high amounts of radiation, posing a tangible threat to their health. Developed low-dose procedures ... -
Analysis of Information Compression of Medical Images for Survival Models
(2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuania, 2021)In this paper, we investigate the methods for extraction of significant information from medical breast cancer images for survival analysis. In breast cancer diagnostics as well as in the analysis of other medical images ... -
Analysis of Nonlinear PID Controllers in Cascade Control Systems
(2020 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 30, 2020, Vilnius, Lithuania, 2020)This article discusses the controller synthesis and stability analysis problems for nonlinear systems. Six combinations of cascade control systems using different linear and nonlinear controllers for internal and external ... -
An ANFIS-based Model to Predict the Oil Spill Consequences on the Ground
(2021 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream), April 22, 2021, Vilnius, Lithuania, 2021)Considering the randomness and complexity of oil spill accidents on the ground, the oil spill volume, the spilled oil density, the spreading coefficient of oil product on the surface layer and ground thickness, were taken ... -
Application of dynamic neural network for prediction of advertisement clicks
(2016 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 19, 2016, Vilnius, Lithuania, 2016)Paper focuses on the optimization of the advertising and other additional costs for the small business ecommerce web sites. The aim of this paper was to propose a dynamic neural network based algorithm to predict number ... -
Application of Fuzzy Set Theory to Suppress the Effects of Interference
(2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania, 2019)This article proposes the use of the theory of fuzzy sets to suppress the influence of interference on the automatic control system of an unmanned aerial vehicle while stabilizing roll and pitch. The control system was ...