displaying 1000 best results Help
Search results for: DEEP EUTECTIC SOLVENT
-
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS
Journals -
Reliable computationally-efficient behavioral modeling of microwave passives using deep learning surrogates in confined domains
PublicationThe importance of surrogate modeling techniques has been steadily growing over the recent years in high-frequency electronics, including microwave engineering. Fast metamodels are employed to speedup design processes, especially those conducted at the level of full-wave electromagnetic (EM) simulations. The surrogates enable massive system evaluations at nearly EM accuracy and negligible costs, which is invaluable in parameter...
-
GPU Power Capping for Energy-Performance Trade-Offs in Training of Deep Convolutional Neural Networks for Image Recognition
PublicationIn the paper we present performance-energy trade-off investigation of training Deep Convolutional Neural Networks for image recognition. Several representative and widely adopted network models, such as Alexnet, VGG-19, Inception V3, Inception V4, Resnet50 and Resnet152 were tested using systems with Nvidia Quadro RTX 6000 as well as Nvidia V100 GPUs. Using GPU power capping we found other than default configurations minimizing...
-
Understanding ion–ion and ion–solvent interactions in aqueous solutions of morpholinium ionic liquids with N-acetyl-L-alaninate anion through partial molar properties and molecular dynamics simulations
PublicationAmino acid ionic liquids (AAILs) provide a low toxicity, biodegradable alternative to conventional ionic liquids, while also maintaining solubility in water. Densities and sound velocities of aqueous solutions of four amino acid ionic liquids (AAILs), based on the N-alkyl-N-methylmorpholinium ([Mor1,R], R = 2, 3, 6, 8) cation and N-acetyl-L-alaninate ([N-Ac-L-Ala]) anion were measured at T = (293.15–313.15) K and at atmospheric...
-
Efficiency of deep bed filtration in treatment of swimming pool water
PublicationPrzebadano efektywność filtracji wody w filtrach ze złożem żwirowo-piaskowym w instalacji basenu rehabilitacyjnego. Obok analizy instrumentalnej wody, w badaniach uwzględniono rozkład wielkości cząstek i analizę termiczną osadu zgromadzonego w złożu piaskowym filtrów wgłębnych i usuwanego podczas płukania.
-
DentalSegmentator: robust deep learning-based CBCT image segmentation
Publication -
Deep learning-based waste detection in natural and urban environments
Publication -
Generation of microbial colonies dataset with deep learning style transfer
Publication -
Deep brain stimulation: new possibilities for the treatment of mental disorders
Publication -
The Impact of Dredging Deep Pits on Organic Matter Decomposition in Sediments
Publication -
Problem of selection of reference plane with deep and wide valleys analysis
Publication -
Solvent effects on fluorescence properties of protochlorophyll and its derivatives with various porphyrin side chains
Publication -
Diffusive properties of solvent molecules in the neighborhood of a polymer chain as seen by Monte-Carlo simulations
Publication -
Solvent-Free Synthesis of Phosphonic Graphene Derivative and Its Application in Mercury Ions Adsorption
PublicationFunctionalized graphene was efficiently prepared through ball-milling of graphite in the presence of dry ice. In this way, oxygen functional groups were introduced into material. The material was further chemically functionalized to produce graphene derivative with phosphonic groups. The obtained materials were characterized by spectroscopic and microscopic methods, along with thermogravimetric analysis. The newly developed material...
-
Real-Time Facial Features Detection from Low Resolution Thermal Images with Deep Classification Models
PublicationDeep networks have already shown a spectacular success for object classification and detection for various applications from everyday use cases to advanced medical problems. The main advantage of the classification models over the detection models is less time and effort needed for dataset preparation, because classification networks do not require bounding box annotations, but labels at the image level only. Yet, after passing...
-
Release Kinetics Studies of Early-Stage Volatile Secondary Oxidation Products of Rapeseed Oil Emitted during the Deep-Frying Process
PublicationThe research concerns the use of proton transfer reaction mass spectrometer to track real-time emissions of volatile secondary oxidation products released from rapeseed oil as a result of deep-frying of potato cubes. Therefore, it was possible to observe a sudden increase of volatile organic compound (VOC) emissions caused by immersion of the food, accompanied by a sudden release of steam from a potato cube and a decrease of the...
-
Improvement of speech intelligibility in the presence of noise interference using the Lombard effect and an automatic noise interference profiling based on deep learning
PublicationThe Lombard effect is a phenomenon that results in speech intelligibility improvement when applied to noise. There are many distinctive features of Lombard speech that were recalled in this dissertation. This work proposes the creation of a system capable of improving speech quality and intelligibility in real-time measured by objective metrics and subjective tests. This system consists of three main components: speech type detection,...
-
A comparison of three solvent-free techniques coupled with gas chromatography for determining trihalomethanes in urine samples
PublicationDążenie do oznaczania lotnych analitów organicznych w próbkach płynów biologicznych charakteryzujących się złożonym, a często zmiennym składem matrycy, stanowi siłę napędową do działań analityków w zakresie poszukiwania nowych rozwiązań metodycznych i aparaturowych. Publikacja ta przedstawia porównanie trzech technik zastosowanych do tych celów: technikę analizy fazy nadpowierzchniowej z generacją strumienia ciekłego sorbentu...
-
Modulating D-amino acid oxidase (DAAO) substrate specificity through facilitated solvent access
Publication -
Radiative lifetime of a BODIPY dye as calculated by TDDFT and EOM-CCSD methods: solvent and vibronic effects
Publication -
Geochemical markers and polycyclic aromatic hydrocarbons in solvent extracts from diesel engine particulate matter
Publication -
A Unique and Stable Polyproline I Helix Sorted out from Conformational Equilibrium by Solvent Polarity
Publication -
The Copper(II) Ions Solvent Extraction with a New Compound: 2,6-Bis(4-Methoxybenzoyl)-Diaminopyridine
Publication -
FeCl3-Modified Carbonaceous Catalysts from Orange Peel for Solvent-Free Alpha-Pinene Oxidation
Publication -
Effect of some organic solvent - water mixtures composion on precipitated calcium carbonate in carbonation process
PublicationPrecipitated calcium carbonate particles were obtained during carbonation of calcium hydroxide slurry with carbon dioxide. Aqueous solutions of isopropyl alcohol, n-butanol and glycerol were used as solvents. Concentration of organic additives in the reactive mixture was from 0 to 20 % (vol.). Precipitation process were performed in a stirred tank reactor equipped with gas distributor. Multimodal courses of particles size distribution...
-
Helium-assisted, solvent-free electro-activation of 3D printed conductive carbon-polylactide electrodes
PublicationFused filament fabrication is one of the most rapidly developing 3D printing techniques, with numerous applications, including in the field of applied electrochemistry. Here, the utilisation of conductive carbon black polylactic acid (CB-PLA) for 3D printouts is the most promising. To use CB-PLA as an electrode material, an activation process must be performed, removing the polymer matrix and uncovering the electrically conductive...
-
Deep sea habitats in the chemical warfare dumping areas of the Baltic Sea
Publication -
Deep Data Analysis of a Large Microarray Collection for Leukemia Biomarker Identification
Publication -
Deep learning approach for delamination identification using animation of Lamb waves
Publication -
Deep learning super-resolution for the reconstruction of full wavefield of Lamb waves
Publication -
OmicSelector: automatic feature selection and deep learning modeling for omic experiments
Publication -
Simulation of backup rolls quenching with experimental study of deep cryogenic treatment
Publication -
Influence of parameters of deep grinding on nanohardness and surface roughness of C45 steel
PublicationPrzedstawiono wyniki badań wpływu głębokości współbieżnego szlifowania powierzchni płaskich na chropowatość i nanotwardość warstwy wierzchniej stali C45 o strukturze ferrytyczno-perlitycznej i średniej wielkości ziarna 20 μm. Dla wszystkich wartości głębokości szlifowania uzyskano znaczny wzrost twardości warstwy wierzchniej przedmiotu obrabianego.
-
Deep Features Class Activation Map for Thermal Face Detection and Tracking
PublicationRecently, capabilities of many computer vision tasks have significantly improved due to advances in Convolutional Neural Networks. In our research, we demonstrate that it can be also used for face detection from low resolution thermal images, acquired with a portable camera. The physical size of the camera used in our research allows for embedding it in a wearable device or indoor remote monitoring solution for elderly and disabled...
-
Autonomous pick-and-place system based on multiple 3Dsensors and deep learning
PublicationGrasping objects and manipulating them is the main way the robot interacts with its environment. However, for robots to operate in a dynamic environment, a system for determining the gripping position for objects in the scene is also required. For this purpose, neural networks segmenting the point cloud are usually applied. However, training such networks is very complex and their results are unsatisfactory. Therefore, we propose...
-
Deep learning approach on surface EEG based Brain Computer Interface
PublicationIn this work we analysed the application of con-volutional neural networks in motor imagery classification for the Brain Computer Interface (BCI) purposes. To increase the accuracy of classification we proposed the solution that combines the Common Spatial Pattern (CSP) with convolutional network (ConvNet). The electroencephalography (EEG) is one of the modalities we try to use for controlling the prosthetic arm. Therefor in this...
-
DEEP LEARNING BASED ON X-RAY IMAGING IMPROVES COXARTHROSIS DETECTION
PublicationObjective: The purpose of the study was to create an Artificial Neural Network (ANN) based on X-ray images of the pelvis, as an additional tool to automate and improve the diagnosis of coxarthrosis. The research is focused on joint space narrowing, which is a radiological symptom showing the thinning of the articular cartilage layer, which is translucent to X-rays. It is the first and the most important of the radiological signs...
-
Using deep learning to increase accuracy of gaze controlled prosthetic arm
PublicationThis paper presents how neural networks can be utilized to improve the accuracy of reach and grab functionality of hybrid prosthetic arm with eye tracing interface. The LSTM based Autoencoder was introduced to overcome the problem of lack of accuracy of the gaze tracking modality in this hybrid interface. The gaze based interaction strongly depends on the eye tracking hardware. In this paper it was presented how the overall the...
-
Development of an orbital shaker-assisted fatty acid-based switchable solvent microextraction procedure for rapid and green extraction of amoxicillin from complex matrices: Central composite design
PublicationIn this study, a cheap, fast and simple orbital shaker-assisted fatty acid-based switchable solvent microextraction (OS-FASS-ME) procedure was developed for the extraction of amoxicillin (AMOX) in dairy products, pharmaceutical samples and wastewater prior to its spectrophotometric analysis. Fatty acid-based switchable solvents were investigated for extracting AMOX. The key factors of the OS-FASS-ME procedure were optimized using...
-
Low-Cost and Highly-Accurate Behavioral Modeling of Antenna Structures by Means of Knowledge-Based Domain-Constrained Deep Learning Surrogates
PublicationThe awareness and practical benefits of behavioral modeling methods have been steadily growing in the antenna engineering community over the last decade or so. Undoubtedly, the most important advantage thereof is a possibility of a dramatic reduction of computational expenses associated with computer-aided design procedures, especially those relying on full-wave electromagnetic (EM) simulations. In particular, the employment of...
-
Vibrational spectroscopic studies of N,N'-dimethylpropyleneurea-water system: Affected solvent spectra and factor analysis
PublicationZmierzono widma FT-IR układu N,N'-dimetylopropylenomocznik (DMPU) - woda w całym zakresie składów w zakresie 4000-500 cm-1 przy użyciu techniki całkowitego wewnętrznego odbicia (ATR). Hydratacja DMPU została dodatkowo zbadana przy pomocy transmisyjnej spektroskopii FT-IR izotopowo rozcieńczonej HDO w H2O. Widma zanalizowano przy użyciu ilościowej wersji metody widm różnicowych, prowadzącej do wyizolowania widma rozpuszczalnika...
-
The application of single drop extraction technique for chromatographic determination of solvent residues in edible oils and pharmaceutical products
PublicationW pracy przedstawiono zalety i wady techniki ekstrakcji do pojedynczej kropli, będącą prostą i tanią alternatywą dla mikroekstrakcji do fazy stacjonarnej. Ponadto opisano dwie analityczne procedury do chromatograficznego oznaczania wybranych rozpuszczalników organicznych (heksanu, benzenu, toluenu oraz trichlorometanu, 1,1,1-trichloroetanu, tetrachlorometanu, trichloroetylenu, tetrachloroetenu)w olejach jadalnych i próbkach farmaceutycznych....
-
Validation of SPME-GC and HS-GC procedures for the determination of selected solvent residues in edible oil matrices
PublicationW pracy przedstawiono przebieg procesu walidacji, przeprowadzonej zgodnie ze wskazaniami ICH (International Conference on Harmonization), procedur wykorzystywanych do oznaczania pozostałości wybranych rozpuszczalników w olejach jadalnych i preparatach farmaceutycznych. W celu izolacji i wzbogacania analitów wykorzystano dwie bezrozpuszczalnikowe techniki ekstrakcyjne: ekstrakcję do fazy nadpowierzchniowej (HS) i mikroekstrakcję...
-
GC-FID determination of C2-C4 aliphatic monocarboxylic acids in aqueous samples preceded by solvent extraction
PublicationEkstrakcja za pomocą eteru metylo-tert-butylowego (MTBE) została wykorzystana do izolacji krótkołańcuchowych alkanowych kwasów monokarboksylowych (2-4 atomy węgla w cząsteczce) z próbek o matrycy wodnej. Całkowita wydajność dwukrotnej ekstrakcji z próbek wodnych kwasów: octowego, propionowego i masłowego wynosiła odpowiednio ok. 55% , ok. 90% i ponad 90%. Wydajności ekstrakcji są porównywalne z wartościami uzyskiwanymi w przypadku...
-
Antioxidant potential of various solvent extract from Morus alba fruits and its major polyphenols composition
Publication -
Multivariable optimization of ultrasound-assisted solvent extraction of bee pollen prior to its element analysis by FAAS
Publication -
A concerted evolution of supramolecular interactions in a {cation; metal complex; π-acid; solvent} anion-π system
Publication -
Base-Catalyzed, Solvent-Free Synthesis of Rigid V-Shaped Epoxydibenzo[b,f][1,5]diazocines
Publication -
Sulfuric acid modified clinoptilolite as a solid green catalyst for solvent-free α-pinene isomerization process
Publication -
Emissions and toxic units of solvent, monomer and additive residues released to gaseous phase from latex balloons
PublicationThis study describes the VOCs emissions from commercially available latex balloons. Nine compounds are determined to be emitted from 13 types of balloons of different colors and imprints in 30 and 60°C. The average values of total volatile organic compounds (TVOCs) emitted from studied samples ranged from 0.054 up to 7.18 μg∙g-1 and from 0.27 up to 36.13 μg∙g-1 for 30oC and 60oC, respectively. The dataset is treated with principal...