Filters
total: 3855
-
Catalog
- Publications 3065 available results
- Journals 242 available results
- Conferences 33 available results
- People 63 available results
- Inventions 2 available results
- Projects 7 available results
- Research Teams 3 available results
- e-Learning Courses 61 available results
- Events 6 available results
- Open Research Data 373 available results
displaying 1000 best results Help
Search results for: NATURAL REFRIGERANTS
-
The Changing Nature of In‐Between Spaces in the Transformation Process of Cities
PublicationIn the in‐between spaces of cities, there are many problems of various nature and scale: functional, spatial, economic, environmental, visual, and social. There are also some hidden potentials that can be activated. The aim of the article is to explore the possibilities of solving existing problems and to show the possibilities of using the potentials of in‐between spaces with regard to the changing nature of a city. The article,...
-
Neural network training with limited precision and asymmetric exponent
PublicationAlong with an extremely increasing number of mobile devices, sensors and other smart utilities, an unprecedented growth of data can be observed in today’s world. In order to address multiple challenges facing the big data domain, machine learning techniques are often leveraged for data analysis, filtering and classification. Wide usage of artificial intelligence with large amounts of data creates growing demand not only for storage...
-
Artificial Neural Networks in Microwave Components and Circuits Modeling
PublicationArtykuł dotyczy wykorzystania sztucznych sieci neuronowych (SNN) w projektowaniu i optymalizacji układów mikrofalowych.Zaprezentowano podstawowe zasady i założenia modelowania z użyciem SNN. Możliwości opisywanej metody opisano wykorzystując przykładowyprojekt anteny łatowej. Przedstawiono różne strategie modelowania układów, które wykorzystują możliwości opisywanej metody w połączeniu zwiedzą mikrofalową. Porównano również dokładność...
-
Diagnosis of damages in family buildings using neural networks
PublicationThe article concerns a problem of damages in family buildings, which result from traffic-induced vibrations. These vibrations arise from various causes and their size is influenced by many factors. The most important is the type of a road, type and weight of vehicles that run on the road, type and condition of the road surface, the distance from the house to the source of vibrations and many others which should be taken into account....
-
THE ROLE OF NATURE IN PLACEMAKING WITHIN THE LIMITS OF HISTORIC CITIES
PublicationThis paper focuses on the role of nature in placemaking within historic cities. There are two different approaches to placemaking – The first is a more traditional approach, i.e. complete building process which entails significant investments. The second is “Lighter, Quicker, Cheaper” approach proposed by the Project for Public Spaces organization. This article discusses the role, importance and place of nature in both approaches....
-
Clothes Detection and Classification Using Convolutional Neural Networks
PublicationIn this paper we describe development of a computer vision system for accurate detection and classification of clothes for e-commerce images. We present a set of experiments on well established architectures of convolutional neural networks, including Residual networks, SqueezeNet and Single Shot MultiBox Detector (SSD). The clothes detection network was trained and tested on DeepFashion dataset, which contains box annotations...
-
“Green” nature of the process of derivatization in analytical sample preparation
PublicationNowadays, the idea of Green Analytical Chemistry (GAC) is of high importance what impacts on the rapid growth in the sample preparation area with special emphasis on sample preparation simplification, miniaturization, and automation. Because the derivatization process is often an essential element of the analytical procedure, it should be important to focus on this issue from GAC perspective and conduct a series of experiments...
-
A Comparison of Ammonia Emission Factors from Light-Duty Vehicles Operating on Gasoline, Liquefied Petroleum Gas (LPG) and Compressed Natural Gas (CNG)
Publication -
The combined effect of moderate pressure and chitosan on Escherichia coli and Staphylococcus aureus cells suspended in a buffer and on natural microflora of apple juice and minced pork
PublicationW pracy określono przeżywalność bakterii Escherichia coli i Staphylococcus aureus oraz naturalnej mikroflory soku jabłkowego i rozdrobnionego mięsa świńskiego po działaniu ciśnienia 193 MPa w temp. -20 C w obecności chitozanu. Stwierdzono, że traktowanie mikroorganizmów ciśnieniem w obecności chitozanu pozwala na przedłużenie trwałości badanych produktów przechowywanych w temperaturze chłodniczej o około 8-10 dni.
-
Determination of non-steroidal anti-inflammatory drugs in natural waters using off-line and on-line SPE followed by LC coupled with DAD-MS
PublicationOpisano dwie metody pozwalające na jednoczesne oznaczanie zawartości niesterydowych leków przeciwzapalnych (difluisal, diklofenak, naproksen, tolmetin, fenoprofen, ibuprofen) w próbkach wodnych. Próbki przygotowywano do analizy z użyciem techniki ekstrakcji do fazy stałej (off-line i on-line). Natomiast oznaczeń końcowych dokonano z użyciem LC-DAD-MS. Sprawdzono kilka różnych kolumienek ekstrakcyjnych i wybrano RP-18 jako najlepsze...
-
Annales, Series Historia Naturalis
Journals -
Optimized Stress and Geometry Control of Spherical structures under Lateral Loadings
PublicationIn this paper, a numerical model of a double-layer spherical structure has been examined under lateral loadings. When the structure has been distorted due to loadings, the dislocated joints have been moved to their original positions utilizing the adjustment techniques based on the force method. Meanwhile, the members’ internal forces were kept in the desired domain. Optimization techniques were also implemented in order to minimalize...
-
Historia divina i historia naturalis w myśli Judy Loewa
Publication -
Non-ionic and zwitterionic forms of neutral arginine – an ab initio study
Publication -
Wpływ pracy doświadczalnego reaktora jądrowego na krajowe środowisko naturalne
PublicationW artykule przedstawiono wpływ pracy doświadczalnego reaktora jądrowego na krajowe środowisko naturalne w oparciu o raporty stanu oceny radiologicznej eksploatowanych źródeł technologii jądrowych. Na podstawie analizy wyników pomiarów z ostatnich piętnastu lat przedstawiono trendy zmian w wybranych elementach środowiska naturalnego na terenie i w otoczeniu ośrodka Świerk. Ponadto zaprezentowano wpływ wyników badań z piętnastoletniego...
-
Tests on lateral resistance in railway track during operation of tamping machine
PublicationArtykuł prezentuje koncepcję prowadzenia badań oporów poprzecznych w trakcie procesu regulacji geometrycznej toru kolejowego za pomocą podbijarki. Jest to zatem kontynuacja badań nad zastosowaniem podbijarki torowej w diagnostyce toru bezstykowego; wcześniej zajmowano się kwestią określania sił podłużnych w szynach. Przedstawiono sposób wyznaczania oporów poprzecznych polegający na ciągłej rejestracji przemieszczenia oraz siły...
-
Existence and uniqueness for neutral equations with delay dependant on a solution and its derivative
PublicationDla wykazania istnienia i jednoznaczności w pracy została zaprezentowana metoda porównawcza.
-
Characterization of Arctic Driftwood as Naturally Modified Material. Part 1: Machinability
PublicationArctic driftwood has reached the coast of Iceland for centuries. This material was used by the inhabitants of the island as a building material for houses, boats, churches and pasture fences. Nowadays, the driftwood is used in the furniture industry, for the finishing of internal and external walls of buildings and also by artists. The properties of driftwood differ to that of original resource due the long-term effects of exposure...
-
Lateral forces determine dimensional accuracy of the narrow‑kerf sawing of wood
PublicationThe shrinking global forest area limits the supply of industrially usable raw resources. This, in combination with the ever‑increasing consumption of timber due to population growth can lead to the lack of a positive balance between the annual volumetric growth and consumption of wood. An important innovation toward increasing environmental and economic sustainability of timber production is to reduce the volume of wood residues...
-
Naturally-derived hydrogels for 3D pancreatic tumor models: A short review
PublicationStatistics suggest a high proportion of mortality rate by pancreatic cancer, which is a solid tumor characterized by high heterogeneity and the presence of a complex extracellular matrix. The very low effectiveness of pancreatic cancer treatment roots in the high metastatic potential and drug resistance of this tumor. Therefore, the quest for efficient cellular models enabling precise mimicking in vivo conditions, and anticancer...
-
Wpływ pracy doświadczalnego reaktora jądrowego na krajowe środowisko naturalne
PublicationW artykule, na podstawie raportów oceny stanu ochrony radiologicznej eksploatowanych źródeł technologii jądrowych, przedstawiono wpływ pracy doświadczalnego reaktora jądrowego na krajowe środowisko naturalne. Korzystając z analiz wyników pomiarów przeprowadzonych w ostatnich 15 latach, przedstawiono trendy zmian w wybranych elementach środowiska naturalnego na terenie i w otoczeniu ośrodka Świerk. Ponadto zaprezentowano wpływ...
-
Monografies del Museu de Ciencies Naturals
Journals -
Annales Universitatis Paedagogicae Cracoviensis Studia Naturae
Journals -
RENDICONTI LINCEI-SCIENZE FISICHE E NATURALI
Journals -
Journal of Natural Gas Science and Engineering
Journals -
Assessing agri-environmental schemes for semi-natural grasslands during a 5-year period: can we see positive effects for vascular plants and pollinators?
Publication -
<p>Virucidal Action Against Avian Influenza H5N1 Virus and Immunomodulatory Effects of Nanoformulations Consisting of Mesoporous Silica Nanoparticles Loaded with Natural Prodrugs</p>
Publication -
Natural deep eutectic solvent based ultrasound assisted liquid-liquid micro-extraction method for methyl violet dye determination in contaminated river water
PublicationSimple and green natural deep eutectic solvent (NADES) based ultrasound assisted liquid-liquid micro-extraction (UA-LLME) method was developed for extraction and determination of methyl violet dye in contaminated river water samples using UV/Vis spectrophotometry. Choline chloride - decanoic acid based natural deep eutectic solvent was used for extraction. Important analytical parameters like pH, deep eutectic solvent volume/phase...
-
Journal of Beijing Institute of Clothing Technology (Natural Science Edition)
Journals -
Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences
Journals -
Deep neural network architecture search using network morphism
PublicationThe paper presents the results of the research on neural architecture search (NAS) algorithm. We utilized the hill climbing algorithm to search for well-performing structures of deep convolutional neural network. Moreover, we used the function preserving transformations which enabled the effective operation of the algorithm in a short period of time. The network obtained with the advantage of NAS was validated on skin lesion classification...
-
OBTAINING FLUID FLOW PATTERN FOR TURBINE STAGE WITH NEURAL MODEL.
PublicationIn the paper possibility of applying neural model to obtaining patterns of proper operation for fluid flow in turbine stage for fluid-flow diagnostics is discussed. Main differences between Computational Fluid Dynamics (CFD) solvers and neural model is given, also limitations and advantages of both are considered. Time of calculations of both methods was given, also possibilities of shortening that time with preserving the accuracy...
-
Matura 2010 – kilka faktów o matematyce dla wszystkich
PublicationW roku 2010 zmieniła się struktura matury – po dwudziestu pięciu latach matematyka ponownie jest obowiązkowym przedmiotem na egzaminie. Aby uzyskać świadectwo dojrzałości, maturzyści musieli zdać (czyli otrzymać co najmniej 30% maksymalnej liczby punktów). Średni wynik egzaminu z matematyki na poziomie podstawowym wynosi 58,5%, a na poziomie rozszerzonym 49,3%. Sprawdzający egzamin („Matematyka” 8/2010) skarżyli się na...
-
The impact of the AC922 Architecture on Performance of Deep Neural Network Training
PublicationPractical deep learning applications require more and more computing power. New computing architectures emerge, specifically designed for the artificial intelligence applications, including the IBM Power System AC922. In this paper we confront an AC922 (8335-GTG) server equipped with 4 NVIDIA Volta V100 GPUs with selected deep neural network training applications, including four convolutional and one recurrent model. We report...
-
Electromagnetic Modeling of Microstrip Elements Aided with Artificial Neural Network
PublicationThe electromagnetic modeling principle aided withartificial neural network to designing the microwave widebandelements/networks prepared in microstrip technology is proposedin the paper. It is assumed that the complete information is knownfor the prototype design which is prepared on certain substratewith certain thickness and electric permittivity. The longitudinaland transversal dimensions of new design...
-
Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks
PublicationDeep Neural Networks (DNN) are state of the art algorithms for image classification. Although significant achievements and perspectives, deep neural networks and accompanying learning algorithms have some important challenges to tackle. However, it appears that it is relatively easy to attack and fool with well-designed input samples called adversarial examples. Adversarial perturba-tions are unnoticeable for humans. Such attacks...
-
Optimization of multiple model neural tracking filter for marine targets
Publication -
Contribution to the bryoflora of the „Boczki” nature reserve (Puszcza Romnicka forest)
Publication -
On Kinetic Nature of Hysteresis Phenomena in Stress-Induced Phase Transformations
PublicationA simplest model is developed which demonstrates that hysteresis phenomena in stress-induced phase transformations may have a kinetic nature and follow from the discrepancy between strain rate and characteristic rate of the new phase growth.
-
Global Surrogate Modeling by Neural Network-Based Model Uncertainty
PublicationThis work proposes a novel adaptive global surrogate modeling algorithm which uses two neural networks, one for prediction and the other for the model uncertainty. Specifically, the algorithm proceeds in cycles and adaptively enhances the neural network-based surrogate model by selecting the next sampling points guided by an auxiliary neural network approximation of the spatial error. The proposed algorithm is tested numerically...
-
Neural Network-Based Sequential Global Sensitivity Analysis Algorithm
PublicationPerforming global sensitivity analysis (GSA) can be challenging due to the combined effect of the high computational cost, but it is also essential for engineering decision making. To reduce this cost, surrogate modeling such as neural networks (NNs) are used to replace the expensive simulation model in the GSA process, which introduces the additional challenge of finding the minimum number of training data samples required to...
-
Gesture Recognition With the Linear Optical Sensor and Recurrent Neural Networks
PublicationIn this paper, the optical linear sensor, a representative of low-resolution sensors, was investigated in the multiclass recognition of near-field hand gestures. The recurrent neural network (RNN) with a gated recurrent unit (GRU) memory cell was utilized as a gestures classifier. A set of 27 gestures was collected from a group of volunteers. The 27 000 sequences obtained were divided into training, validation, and test subsets....
-
Deep convolutional neural network for predicting kidney tumour malignancy
PublicationPurpose: According to the statistics, up to 15-20% of removed solid kidney tumors turn out to be benign in postoperative histopathological examination, despite having been identified as malignant by a radiologist. The aim of the research was to limit the number of unnecessary nephrectomies of benign tumors. Methods or Background: We propose a machine-aided diagnostic system for kidney...
-
NIRCa: An artificial neural network-based insulin resistance calculator
Publication -
Energy-Efficient Neural Network Inference with Microcavity Exciton Polaritons
Publication -
Neural network approach to 2D Kalman filtering in image processing
Publication -
Neural networks based NARX models in nonlinear adaptive control
Publication -
Towards an understanding of the nature of superhalogen anions: anab initiostudy of the system
Publication -
Prediction of antimicrobial activity of imidazole derivatives by artificial neural networks
Publication -
The Not So Subtle and Status Quo Maintaining Nature of Everyday Sexism
Publication