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Categorization of emotions in dog behavior based on the deep neural network
PublicationThe aim of this article is to present a neural system based on stock architecture for recognizing emotional behavior in dogs. Our considerations are inspired by the original work of Franzoni et al. on recognizing dog emotions. An appropriate set of photographic data has been compiled taking into account five classes of emotional behavior in dogs of one breed, including joy, anger, licking, yawning, and sleeping. Focusing on a particular...
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An automated, low-latency environment for studying the neural basis of behavior in freely moving rats
PublicationBackground Behavior consists of the interaction between an organism and its environment, and is controlled by the brain. Brain activity varies at sub-second time scales, but behavioral measures are usually coarse (often consisting of only binary trial outcomes). Results To overcome this mismatch, we developed the Rat Interactive Foraging Facility (RIFF): a programmable interactive arena for freely moving rats with multiple feeding...
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Multimodal human-computer interfaces based on advanced video and audio analysis
PublicationMultimodal interfaces development history is reviewed briefly in the introduction. Some applications of multimodal interfaces to education software for disabled people are presented. One of them, the LipMouse is a novel, vision-based human-computer interface that tracks user’s lip movements and detect lips gestures. A new approach to diagnosing Parkinson’s disease is also shown. The progression of the disease can be measured employing...
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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...
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Preferred Benchmarking Criteria for Systematic Taxonomy of Embedded Platforms (STEP) in Human System Interaction Systems
PublicationThe rate of progress in the field of Artificial Intelligence (AI) and Machine Learning (ML) has significantly increased over the past ten years and continues to accelerate. Since then, AI has made the leap from research case studies to real production ready applications. The significance of this growth cannot be undermined as it catalyzed the very nature of computing. Conventional platforms struggle to achieve greater performance...
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A note on the applications of artificial intelligence in the hospitality industry: preliminary results of a survey
PublicationIntelligent technologies are widely implemented in different areas of modern society but specific approaches should be applied in services. Basic relationships refer to supporting customers and people responsible for services offering for these customers. The aim of the paper is to analyze and evaluate the state-of-the art of artificial intelligence (AI) applications in the hospitality industry. Our findings show that the major...
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Buzz-based honeybee colony fingerprint
PublicationNon-intrusive remote monitoring has its applications in a variety of areas. For industrial surveillance case, devices are capable of detecting anomalies that may threaten machine operation. Similarly, agricultural monitoring devices are used to supervise livestock or provide higher yields. Modern IoT devices are often coupled with Machine Learning models, which provide valuable insights into device operation. However, the data...
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Application of autoencoder to traffic noise analysis
PublicationThe aim of an autoencoder neural network is to transform the input data into a lower-dimensional code and then to reconstruct the output from this code representation. Applications of autoencoders to classifying sound events in the road traffic have not been found in the literature. The presented research aims to determine whether such an unsupervised learning method may be used for deploying classification algorithms applied to...
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Improving Accuracy of Contactless Respiratory Rate Estimation by Enhancing Thermal Sequences with Deep Neural Networks
PublicationEstimation of vital signs using image processing techniques have already been proved to have a potential for supporting remote medical diagnostics and replacing traditional measurements that usually require special hardware and electrodes placed on a body. In this paper, we further extend studies on contactless Respiratory Rate (RR) estimation from extremely low resolution thermal imagery by enhancing acquired sequences using Deep...
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Review of Segmentation Methods for Coastline Detection in SAR Images
PublicationSynthetic aperture radar (SAR) images acquired by airborne sensors or remote sensing satellites contain the necessary information that can be used to investigate various objects of interest on the surface of the Earth, including coastlines. The coastal zone is of great economic importance and is also very densely populated. The intensive and increasing use of coasts and changes of coastlines motivate researchers to try to assess...
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Olgun Aydin dr
PeopleOlgun Aydin finished his PhD by publishing a thesis about Deep Neural Networks. He works as a Principal Machine Learning Engineer in Nike, and works as Assistant Professor in Gdansk University of Technology in Poland. Dr. Aydin is part of editorial board of "Journal of Artificial Intelligence and Data Science" Dr. Aydin served as Vice-Chairman of Why R? Foundation and is member of Polish Artificial Intelligence Society. Olgun is...
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LONG RANGE PLANNING
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The phenomenon of HbA1c stability and the risk of hypoglycemia in long-standing type 1 diabetes
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Local and long range potentials for heparin‐protein systems for coarse‐grained simulations
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3D Form analysis of rope deformation with long towed underwater hydroacoustic antenna
PublicationArtykuł opisuje rozwiązanie zagadnienia brzegowego dla zestawu długiej liny holującej i podwodnej anteny hydroakustycznej o gęstości, tej ostatniej, nieznacznie większej od gęstości wody i małej sztywności. Znane jest tylko położenie punktu zamocowania liny do okrętu (p-kt początkowy holowanego zestawu) oraz głębokość, na której znajduje się koniec anteny. Przedstawiono analizę sił działających na holowany zestaw, ich równania...
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The detection of capsaicin and dihydrocapsaicin in horse serum following long-term local administration
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Pharmacokinetics of sufentanil during long-term infusion in critically ill pediatric patients
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Nonradiative long range energy transfer in donor-acceptor systems with excluded volume
PublicationW pracy analizowano bezpromienisty długozasięgowy transfer energii w układach donor-akceptor z uwzględnieniem objętości wyłączonej. Stwierdzono, że zanik fluorescencji pierwotnie wzbudzonych donorów jest wolniejszy, jeżeli uwzględnia się objętość wyłączoną. Ten efekt jest znacznie wzmocniony, gdy akceptory znajdują się w pewnej objętości niedostępnej dla donorów. Analizę numeryczną przeprowadzono stosując metodę symulacji Monte...
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The influence of G2 arrest abrogation on the long-term cytotoxicity of different genotoxic lesions
PublicationJak się uważa, zdolność komórek nowotworowych z uszkodzeniami DNA do zatrzymywania progresji w cyklu komórkowym w fazie G2 wydłuża czas na reperację tych uszkodzeń i zwiększa zdolność do przeżycia tych komórek. W pracy badaliśmy wpływ skrócenia bloku w fazie G2 w komórkach dwóch typów białaczek, poddanych działaniu związków przeciwnowotworowych indukujących różne typy uszkodzeń DNA, na efekt cytotoksyczny tych związków. Zwiększenie...
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Effect of Long-Term Potato Starch Retention with Citric Acid on Its Properties
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Long chain polyunsaturated fatty acids in smoked Atlantic mackerel and Baltic sprats
PublicationWyniki pracy wykazały, że zmienność w składzie kwasów tłuszczowych w surowcu, (makrela, szprot), pochodzącym z różnych dostaw, była większa niż zmiany wywołane wędzeniem i przechowywaniem wędzonego produktu.
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Durability of snow cover and its long-term variability in the Western Sudetes Mountains
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Long-term air temperature variation in the Karkonosze mountains according to atmospheric circulation
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Long-Term Outcomes of Laparoscopic Sleeve Gastrectomy—a Single-Center, Retrospective Study
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The calculation long-term physical field created by water flow around the ship
PublicationThe paper presents a description of the problems with fluid flow around a ship. Using the described solution of the problem were performed numerical calculations using the boundary element method. Were also presented preliminary results of the calculation of pressure fields at the bottom of the ship, taking into account the impact of the bottom.
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Long-term researches of stress corrosion cracking of Al-Zn-Mg alloys
PublicationPraca przedstawia wyniki odporności na korozję naprężeniową stopów Al-Zn-Mg uzyskane w warunkach stacjonarnych. Dodatkowo określono wpływ składu chemicznego oraz obróbki cieplnej na odporność korozyjną tych stopów. Badania prowadzono w 3% NaCl w warunkach stałego obciążenia σ = 0.8R0.2 przez 1500 godzin. Stwierdzono, iż zawartość Zn i Mg oraz szybkość chłodzenia to główne czynniki wpływające na podatność tych stopów na korozje...
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Long-term simulation of the activated sludge process at the Hanover-Gümmerwald pilot WWTP
PublicationCelem badań było uzyskanie zweryfikowanego modelu ASM3P, który mógłby być wykorzystany jako narzędzie decyzyjne do wyznaczania maksymalnych przepływów w oczyszczalniach ścieków. Symulacje przeprowadzono w oparciu o wyniki badań obciążeń hydraulicznych w pilotowej oczyszczalni ścieków Hanower-Gummerwald. Wyniki symulacji zostały porównane z wynikami pomiarów on-line w komorach osadu czynnego (N-NH4, N-NO3) oraz w odpływie z osadnika...
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Microstructure and properties of the cobalt base clad layers after long time service
PublicationBadaniu poddano napawane laserowo warstwy ze stopu na bazie kobaltu. Warstwy wykonane na przylgni grzybka zaworu wylotowego silnika diesla badano po dwóch latach eksploatacji w dwóch silnikach laboratoryjnych. Badania mikrostruktury nie wykazały znaczących zmian. Przeprowadzono również badania chemiczne oraz pomiary twardości warstw po eksploatacji. Badany typ napoin nie wykazał znaczących uszkodzeń po długim czasie eksploatacji.
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The role of purpose in life and social support in reducing the risk of workaholism among women in Poland
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The role of purpose in life and social support in reducing the risk of workaholism among women in Poland
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Effects of traumatic life events, cognitive biases and variation in dopaminergic genes on psychosis proneness
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Physical activity, life satisfaction and adjustment to illness in women after treatment of breast cancer
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Tool Life and Process Dynamics in High Speed Ball End Milling of Hardened Steel
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Multiaxial fatigue life assessment in notched components based on the effective strain energy density
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Dietary Habits Among Young Triathlonists as a Result of Proecological Style of Life - Preliminary Study
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Mutual Relationship Between Sleep Disorders, Quality of Life and Psychosocial Aspects in Patients With Psoriasis
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Brain Fog and Quality of Life at Work in Non-Hospitalized Patients after COVID-19
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Economic Aspects of Algae Biomass Harvesting for Industrial Purposes. The Life-Cycle Assessment of the Product
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Blood plasma protein and lipid profile changes in calves during the first week of life
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Aquaporin 2: Identification and analysis of expression in calves’ urine during their first month of life
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Fatigue ''safe-life'' criterion for metal elements under multiaxial constant and periodic loads.
PublicationRozpatrywane jest okresowe naprężenie którego kartezjańskie składowe są zadane w postaci szeregów Fouriera. Dla uwzględnienia naprężenia średniego wykorzystano uogólnioną formułę Soderberga dla materiałów ciągliwych. Zdefiniowano naprężenie równoważne o synchronicznych składowych i sformułowano kryterium zmęczenia, które obejmuje warunki zarówno wytrzymałości statycznej jak i bezpieczeństwa zmęczeniowego. Kryterium to zawiera stałe...
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Prediction of corrosion fatigue crack propagation life for welded joints under cathodic potentials
PublicationPrzy ochronie katodowej poniżej potencjału optymalnego obserwuje się przyspieszenie propagacji pęknięcia korozyjno-zmęczeniowego w porównaniu do konstrukcji nie chronionej. Zaproponowano własną formułę empiryczną na wpływ potencjału ochronnego na prędkość propagacji pęknięcia oraz własny wzór na [delta]K w złączu pachwinowym. Wyprowadzono wzór na krzywą ''S-Np'' (naprężenie - długość okresu propagacji pęknięcia). Zaprezentowana...
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Fracture surface topography investigation and fatigue life assessment of notched austenitic steel specimens
PublicationThe objectives of this study were to investigate the fracture surface topography of X8CrNiS18-9 austenitic stainless-steel specimens for different loadings and notch radii and to supplement the knowledge about the fracture mechanisms for fatigue performance. Cases with three different values of the notch radius ρ and the stress amplitude σa were analysed. The fracture topographies were quantified by the areas over their entire...
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Anita Maria Dąbrowicz-Tlałka dr
PeopleAnita Dąbrowicz-Tlałka graduated from the Faculty of Mathematics and Physics at the University of Gdańsk with an outstanding grade, having written her thesis in the field of geometric topology. She concurrently obtained a diploma in Postgraduate Studies in the Basics of Computer Science at the University of Gdańsk. In 2001 she received a Ph.D. degree in mathematical studies at the Poznań University of Technology after defending...
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Becoming a Learning Organization Through Dynamic Business Process Management
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Deep learning-based waste detection in natural and urban environments
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The detection of Alternaria solani infection on tomatoes using ensemble learning
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Scheduling Repetitive Construction Processes Using the Learning-Forgetting Theory
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Generation of microbial colonies dataset with deep learning style transfer
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Meta-Design and the Triple Learning Organization in Architectural Design Process
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