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Search results for: PLS REGRESSION
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PLOS ONE
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Determination Of Gas Mixture Components Using Fluctuation Enhanced Sensing And The LS-SVM Regression Algorithm
PublicationThis paper analyses the effectiveness of determining gas concentrations by using a prototype WO3 resistive gas sensor together with fluctuation enhanced sensing. We have earlier demonstrated that this method can determine the composition of a gas mixture by using only a single sensor. In the present study, we apply Least-Squares Support-Vector-Machine-based (LS-SVM-based) nonlinear regression to determine the gas concentration...
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ARTIFICIAL MODEL IN THE ASSESSMENT OF THE ALGORITHM OF OBJECTS RECORDED BY LASER SCANNING SHAPE DETECTION (ALS/TLS)
PublicationBrief description of the study and used methods. Brief description of the study and used As part of the preparatory work aimed to create the application solution allowing for the automation of searching objects in data, obtained in the scanning process using ALS (Airborne Laser Scanning) or TLS (Terrestrial Laser Scanning), the authors prepared a artificial (synthetic, theoretical) model of space, used for the verification of operation...
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Application of Generalized Regression Neural Network and Gaussian Process Regression for Modelling Hybrid Micro-Electric Discharge Machining: A Comparative Study
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DEPRESSION AND ANXIETY
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The Modifiable Areal Unit Problem – Analysis of Correlation and Regression
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Determination of benzo(a)pyrene content in PM10 using regression methods
PublicationThe paper presents an attempt of application of multidimensional linear regression to estimation of an empirical model describing the factors influencing on B(a)P content in suspended dust PM10 in Olsztyn and Elbląg city regions between 2010 and 2013. During this period annual average concentration of B(a)P in PM10 exceeded the admissible level 1.5-3 times. Conducted investigations confirm that the reasons of B(a)P concentration...
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Depression and anxiety in cardiovascular disease
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Aerodynamic Shape Optimization for Delaying Dynamic Stall of Airfoils by Regression Kriging
PublicationThe phenomenon of dynamic stall produce adverse aerodynamic loading which can adversely affect the structural strength and life of aerodynamic systems. Aerodynamic shape optimization (ASO) provides an effective approach for delaying and mitigating dynamic stall characteristics without the addition of auxiliary system. ASO, however, requires multiple evaluations time-consuming computational fluid dynamics models. Metamodel-based...
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AGGRESSION AND VIOLENT BEHAVIOR
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Journal of Sexual Aggression
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Depression Research and Treatment
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MODELOWANIE PROPAGACJI HAŁASU I JEGO WPŁYWU NA SŁUCH Z WYKORZYSTANIEM PLATFORMY OBLICZENIOWEJ PL GRID PLUS
PublicationW referacie przedstawiono usługi dostępne w gridzie dziedzinowym Akustyka, opracowane w ramach projektu PL Grid Plus. Przygotowane usługi umożliwiają modelowanie propagacji hałasu w środowisku aglomeracji miejskiej pochodzącego ze źródeł liniowych (drogi), punktowych lub powierzchniowych (hałas przemysłowy, imprezy plenerowe) z wykorzystaniem klastrów oblicze-niowych. Na podstawie uzyskanych wyników rozkładu poziomu hałasu możliwe...
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Impact of air pollution on depression and suicide
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Decisional DNA with embedded Relief-F linear regression for knowledge and experience management
PublicationOmowiono zastowania Decyzyjnego DNA, regresji liniowej oraz funkcji RELIEF-F w procesach formalnego modelowania i wspomagania zarzadzania wiedza oraz zarzadzania doswiadczeniem.
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Iterative‐recursive estimation of parameters of regression models with resistance to outliers on practical examples
PublicationHere, identification of processes and systems in the sense of the least sum of absolute values is taken into consideration. The respective absolute value estimators are recognised as exceptionally insensitive to large measurement faults or other defects in the processed data, whereas the classical least squares procedure appears to be completely impractical for processing the data contaminated with such parasitic distortions. Since...
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Reducing Monitoring Costs in Industrially Contaminated Rivers: Cluster and Regression Analysis Approach
PublicationMonitoring contamination in river water is an expensive procedure, particularly for developing countries where pollution is a significant problem. This study was conducted to provide a pollution monitoring strategy that reduces the cost of laboratory analysis. The new monitoring strategy was designed as a result of cluster and regression analysis on field data collected from an industrially influenced river. Pollution sources in...
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Application of Regression Line to Obtain Specified Number of Points in Reduced Large Datasets
PublicationModern measurement techniques like scanning technology or sonar measurements, provide large datasets, which are a reliable source of information about measured object, however such datasets are sometimes difficult to develop. Therefore, the algorithms for reducing the number of such sets are incorporated into their processing. In the reduction algorithms based on the...
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Alarmsubstanzen als angstindikatoren
PublicationSubstancje emitowane przez zwierzęta nazywane feromonami, odgrywają ważną rolę informacyjną w ich społecznym bytowaniu. Pełnią one funkcje związane z obroną terytorium, z życiem płciowym, mają istotne znaczenie w relacjach potomstwo-matka, w zachowaniach agresywnych. Badania przeprowadzono na modelu zwierzęcym i ludzkim. W dotychczasowych badaniach wyodrębniono liczne substancje węglowodorowe. Chromatogramy tych substancji wykazywały...
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Fuzzy regresion approach to road safety analysis at regional level
PublicationRoad safety modelling on regional level of NUTS 2 in the EU is the complex issue and authors of this article indicate this in previous publications. NUTS 2 are basic regions for the application of regional policies (0.8-3 m inhabitants). During multivariate models development they discovered that it is difficult to make regression model well described all regions, even if they are from one country. In the first step Poisson model...
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PLS-Based and Regularization-Based Methods for the Selection of Relevant Variables in Non-targeted Metabolomics Data
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Prediction of Peptide Retention at Different HPLC Conditions from Multiple Linear Regression Models
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Tolerance-Aware Multi-Objective Optimization of Antennas by Means of Feature-Based Regression Surrogates
PublicationAssessing the immunity of antenna design to fabrication tolerances is an important consideration, especially when the manufacturing process has not been predetermined. At the same time, the antenna parameter tuning should be oriented toward improving the performance figures pertinent to both electrical (e.g., input matching) and field properties (e.g., axial ratio bandwidth) as much as possible. Identification of available trade-offs...
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Buried Object Characterization by Data-Driven Surrogates and Regression-Enabled Hyperbolic Signature Extraction
PublicationThis work addresses artificial-intelligence-based buried object characterization using FDTD-based electromagnetic simulation toolbox of a Ground Penetrating Radar (GPR) to generate B-scan data. In data collection, FDTD-based simulation tool, gprMax is used. The task is to estimate geophysical parameters of a cylindrical shape object of various radii, buried at different positions in the dry soil medium simultaneously and independently...
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Regression points in non-intrusive polynomial chaos expansion method and D-optimal design
PublicationThe paper addresses selected issues of uncertainty quantification in the modelling of a system containing surgical mesh used in ventral hernia repair. Uncertainties in the models occur e.g. due to variability of abdominal wall properties among others. In order to include them, a non-intrusive regression-based polynomial chaos expansion method is employed. Its accuracy depends on the choice of regression points. In the study a relation...
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Improved Modeling of Microwave Structures Using Performance-Driven Fully-Connected Regression Surrogate
PublicationFast replacement models (or surrogates) have been widely applied in the recent years to accelerate simulation-driven design procedures in microwave engineering. The fundamental reason is a considerable—and often prohibitive—CPU cost of massive full-wave electromagnetic (EM) analyses related to solving common tasks such as parametric optimization or uncertainty quantification. The most popular class of surrogates are data-driven...
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Anxiety and depression in patients infected with Borrelia burgdorferi
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Depression as a civilization-deformed adaptation and defence mechanism
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Regulated Assembly of LPS, Its Structural Alterations and Cellular Response to LPS Defects
PublicationDistinguishing feature of the outer membrane (OM) of Gram-negative bacteria is its asymmetry due to the presence of lipopolysaccharide (LPS) in the outer leaflet of the OM and phospholipids in the inner leaflet. Recent studies have revealed the existence of regulatory controls that ensure a balanced biosynthesis of LPS and phospholipids, both of which are essential for bacterial viability. LPS provides the essential permeability...
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PLoS Computational Biology
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Regulation of LPS assembly via controlled proteolysis and sensing of LPS stress in Escherichia coli
PublicationLipopolysaccharide (LPS) is a complex glycolipid, essential for the bacterial viability and along with phospholipids, it constitutes the major amphiphilic component of outer membrane (OM) in most of the Gram-negative bacteria, including Escherichia coli. LPS molecules confer an effective permeability barrier to the OM and play a crucial role in bacteria-environment and -host interactions. The synthesis and accumulation of this...
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Deep-Learning-Based Precise Characterization of Microwave Transistors Using Fully-Automated Regression Surrogates
PublicationAccurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging endeavor due to complex relationships between transistor characteristics and its designable parameters, biasing conditions, and frequency. Artificial neural network (ANN)-based methods, including deep learning...
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Optimization-Based Robustness Enhancement of Compact Microwave Component Designs with Response Feature Regression Surrogates
PublicationThe ability to evaluate the effects of fabrication tolerances and other types of uncertainties is a critical part of microwave design process. Improving the immunity of the device to parameter deviations is equally important, especially when the performance specifications are stringent and can barely be met even assuming a perfect manufacturing process. In the case of modern miniaturized microwave components of complex topologies,...
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Assessment of wastewater quality indicators for wastewater treatment influent using an advanced logistic regression model
PublicationInfluent quality indicators play a significant role in wastewater treatment plant performance due to their correlation with reactor operations and effluent quality. However, selecting a specific/best parameter indicator for predicting influent wastewater quality is one of the challenges in wastewa- ter treatment. This study, therefore, focused on determining suitable variables as influent quality indicators. For this purpose, a...
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Jak chronić Pas Nadmorski?
PublicationArtykuł ma na celu spopularyzowanie wykonanej na zamówienie Polskiego Klubu Ekologicznego Społecznej Koncecpji Zagospodarowania Pasa Nadmorskiego. W artykule omówiono założenia, jakimi kierowano się przy tworzeniu ''Społecznej Koncepcji Zagospodarowania Pasa Nadmorskiego w Gdańsku'' przygotowywanej przez Polski Klub Ekologiczny oraz przedstawiono sam projekt.
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PLE in the analysis of plant compounds
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PLE in the analysis of plant compounds
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Innowacyjne technologie CAx / PLM
PublicationWyzwania stawiane przed firmami projektowymi, produkcyjnymi, usługowymi to m.in. rosnące wymagania innowacyjności produktów. Zauważalna jest silna potrzeba wprowadzania nowych produktów wysokiej jakości, w krótkim czasie i konkurencyjnych cenach. Zauważalny jest również aspekt konieczności minimalizowania ryzyka związanego z wprowadzaniem nowych rozwiązań na rynek. W odpowiedzi na te wyzwania wprowadzono nowe technologie wspomagające...
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Effectiveness of the robust PSS design
PublicationThe paper discusses optimal PSS of synchronous generator synthesis. The optimal controller is an Hinf controller, what means that minimises Hinf norm of transfer function between the exogenous signals such as reference inputs and disturbances, and the error signals which are to be minimised to meet the control objective. The dynamic properties of the plant are shaped by choosing appropriate weighting function applied to the plant...
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Günter Grass - kolekcja plus
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Finite-window RLS algorithms
PublicationTwo recursive least-squares (RLS) adaptive filtering algorithms are most often used in practice, the exponential and sliding (rectangular) window RLS algorithms. This popularity is mainly due to existence of low-complexity versions of these algorithms. However, these two windows are not always the best choice for identification of fast time-varying systems, when the identification performance is most important. In this paper, we...
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Symulacja pracy sieci MPLS.
PublicationPrzewiduje się, że technika MPLS będzie przyszłą platformą dla sieci szkieletowych z gwarancją jakości usług. Wymaga to opracowania szeregu metod umożliwiających efektywne zarządzanie zasobami sieci. Należy do nich kierowanie ruchem (ruting), który odpowiada za gospodarkę pasmem. W pracy przedstawiono założenia w oparciu o które wykonano program symulacyjny. Omówiono implementację pod kątem zastosowania w sieci MPLS i opisano...
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Selected problems of the relation between pain-immunity and depression
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Kinship, Acceptance, and Rejection Model of Altruism and Aggression (KARMAA)
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Depression and anxiety in coronary artery bypass grafting patients
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Journal of Aggression Maltreatment & Trauma
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Journal of Language Aggression and Conflict
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Fabrication of ILs-Assisted AgTaO3 Nanoparticles for the Water Splitting Reaction: The Effect of ILs on Morphology and Photoactivity
PublicationThe design of an active, stable and ecient photocatalyst that is able to be used for hydrogen production is of great interest nowadays. Therefore, four methods of AgTaO3 perovskite synthesis, such as hydrothermal, solvothermal, sol-gel and solid state reactions, were proposed in this study to identify the one with the highest hydrogen generation eciency by the water splitting reaction. The comprehensive results clearly show that...
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PLOS MEDICINE
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PLOS Genetics
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