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Search results for: deep neural network
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Development and Validation of a Deep Learning Model for Histopathological Slide Analysis in Lung Cancer Diagnosis
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Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)
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Evaluation of new natural deep eutectic solvents for the extraction of isoflavones from soy products
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Monitoring of deep foundation deflection in model experiments by means of a magnetic method: theoretical study.
PublicationZaproponowano oryginalną nieinwazyjną metodę pomiaru ugięcia pali bocznie obciążonych niespoistymi i małospoistymi gruntami suchymi lub wilgotnymi. Metoda ma zastosowanie do pomiaru ugięcia pali i ścian szczelnych oraz określania położenia innych fundamentów lub elementów zagłębionych w gruncie.
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IEEE NETWORK
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Spectrophotometric determination of chlorpyrifos in foodstuffs after vortex-assisted surfactant-enhanced emulsification microextraction using magnetic deep eutectic solvents: Analytical greenness profile
PublicationIn this work a novel and green vortex-assisted surfactant-enhanced emulsification microextraction (VA-SEEME) based on magnetic deep eutectic solvents (MDESs) was developed for the determination of chlorpyrifos in foodstuffs by UV-Vis spectrophotometric analysis. MDES (trihexyltetradecylphosphonium chloride: MnCl2: octanoic acid) was used as the extractant, non-ionic surfactant Tween-80 was used as an extraction medium, and ethanol...
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settingsOrder Article Reprints This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle Investigation of the Frying Fume Composition During Deep Frying of Tempeh Using GC-MS and PTR-MS
PublicationThis study employed proton transfer reaction mass spectrometry (PTR-MS) and gas chromatography–mass spectrometry (GC-MS) to identify and monitor volatile organic compounds (VOCs) in frying fumes generated during the deep frying of tempeh. The research aimed to assess the impact of frying conditions, including frying temperature, oil type, and repeated use cycles, on the formation of thermal decomposition products. A total of 78...
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The European Training Network ETUDE (Encompassing Training in fUnctional Disorders across Europe): a new research and training program of the EURONET-SOMA network recruiting 15 early stage researchers
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Dynamic Route Discovery Using Modified Grasshopper Optimization Algorithm in Wireless Ad-Hoc Visible Light Communication Network
PublicationIn recent times, visible light communication is an emerging technology that supports high speed data communication for wireless communication systems. However, the performance of the visible light communication system is impaired by inter symbol interference, the time dispersive nature of the channel, and nonlinear features of the light emitting diode that significantly reduces the bit error rate performance. To address these problems,...
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Tuning Ferulic Acid Solubility in Choline-Chloride- and Betaine-Based Deep Eutectic Solvents: Experimental Determination and Machine Learning Modeling
PublicationDeep eutectic solvents (DES) represent a promising class of green solvents, offering particular utility in the extraction and development of new formulations of natural compounds such as ferulic acid (FA). The experimental phase of the study undertook a systematic investigation of the solubility of FA in DES, comprising choline chloride or betaine as hydrogen bond acceptors and six different polyols as hydrogen bond donors....
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Development of thin film SPME sorbents based on deep eutectic solvents and their application for isolation and preconcentration of endocrine-disrupting compounds leaching from diapers to urine
PublicationIn this study, the thin film solid phase microextraction (TF-SPME) based on a novel sorbent composed of deep eutectic solvent (DES) is proposed. Among several synthesized sorbents the most efficient was DES containing trihexyl(tetradecyl)phosphonium chloride and docosanol mixed with polydimethylsiloxane (PDMS) in a molar ratio 1:3:0.25 to achieve a more stable structure. The proposed sorbent was applied on a fiberglass mesh and...
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Investigation of vortex assisted magnetic deep eutectic solvent based dispersive liquid–liquid microextraction for separation and determination of vanadium from water and food matrices: Multivariate analysis
PublicationA new and simple vortex assisted magnetic deep eutectic solvent dispersive liquid–liquid microextraction procedure (VA-MDES-DLLME) was developed for the determination of vanadium (V) in food and water samples by flame atomic absorption spectrometry (FAAS). In the extraction medium, a bis(acetylpivalylmethane) ethylenediimine (H2APM2en) was used for the complexation of V(V) in sample solution at pH 6. The VA-MDES-DLLME was optimized...
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LEARN Journal: Language Education and Acquisition Research Network
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Sensitive method for determination of benzoic acid in beverages and food samples using air–assisted hydrophobic deep eutectic solvent-based dispersive liquid-liquid microextraction
PublicationA simple, reliable and rapid air–assisted hydrophobic deep eutectic solvent-based dispersive liquid–liquid microextraction (AA-HDES-DLLME) was developed for analysis of benzoic acid in various beverages and food samples. The final determination stage was performed via UV–visible spectrophotometry. The key parameters (extraction time, HDES type and volume, dispersant volume, pH and sample volume) of the AA-HDES-DLLME method were...
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JOURNAL OF COMPARATIVE PHYSIOLOGY A-NEUROETHOLOGY SENSORY NEURAL AND BEHAVIORAL PHYSIOLOGY
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Redefining brain tumor segmentation: a cutting-edge convolutional neural networks-transfer learning approach
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Jacek Rak dr hab. inż.
PeopleJacek Rak uzyskał stopień doktora habilitowanego nauk technicznych w dyscyplinie telekomunikacji (specjalność: teleinformatyka) w 2016 r., a stopień doktora nauk technicznych w dyscyplinie informatyka w 2009 r. Obecnie jest pracownikiem naukowo-dydaktycznym Katedry Teleinformatyki Wydziału Elektroniki, Telekomunikacji i Informatyki Politechniki Gdańskiej. Jego działalność naukowa koncentruje się w obszarze doboru tras, projektowania...
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Fault loop impedance measurement in low voltage network with residual current devices
PublicationW sieciach i instalacjach niskiego napięcia z wyłącznikami różnicowoprądowymi pomiar impedancji pętli zwarciowej jest kłopotliwy. Prąd pomiarowy powoduje ich zbędne zadziałanie, co uniemożliwia prawidłowe wykonanie pomiaru. W artykule omówiono przyczyny zbędnego zadziałania wyłączników różnicowoprądowych podczas pomiaru impedancji pętli zwarciowej oraz warunki, w jakich ten pomiar można wykonać poprawnie.
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Step-Up DC/DC Converters With Cascaded Quasi-Z-Source Network
PublicationW artykule zaprezentowano nowe rozwiązania dotyczące przekształtników energoelektronicznych DC-DC podwyższających napięcie z ogniw paliwowych. Istota rozwiązania zawiera się w zastosowaniu kaskadowo połączonych wejściowych obwodów pasywnych typu Quasi-Z, umozliwiających znaczne podwyższanie napięcia z wykorzystaniem stanu parcy zwarć gałęzi tranzystorowych przekształtnika.
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Measurement of the earth fault loop impedance in a low voltage network with operating loads
PublicationW artykule przedstawiono problematykę dokładności pomiaru impedancji pętli zwarciowej w sieciach z obciążeniami roboczymi. Klasyczne metody pomiarowe i mierniki mogą powodować błędy pomiaru przekraczające dopuszczalną wartość. Z tego powodu może wystąpić ryzyko porażenia prądem elektrycznym, ponieważ przy doziemieniu nie będzie spełniony warunek samoczynnego wyłączenia zasilania. Błędy pomiaru w sieci z obciążeniami roboczymi można...
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The measurement of input power of power supply in network disturbed by low frequency distortions
PublicationIn the paper authors present results of observation of input power changes versus harmonics amplitude in supply voltage of low-power power supply device. In the study, the electrical measurements supported with thermal imaging were used. The input circuit elements of studied device responsible for input power increase are pointed
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Softly Switched Robustly Feasible Model Predictive Control for Nonlinear Network Systems
PublicationIt is common that an efficient constrained plant operation under full range of disturbance inputs require meeting different sets of control objectives. This calls for application of model predictive controllers each of them being best fit into specific operating conditions. It further requires that not only designing robustly feasible model predictive controllers is needed to satisfy the real plant state/output constraints, but...
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Mapowanie sieci międzyorganizacyjnych w wymiarze sprawiedliwości metodami social network analysis
PublicationMimo specyfiki wymiaru sprawiedliwości, przejawiającej się w wysokim sformalizowaniu stosunków z otoczeniem oraz wysokim sformalizowaniem struktur organizacyjnych, istnieje duży potencjał do wykorzystania mechanizmów sieciowej współpracy w celu usprawnienia funkcjonowania sądów. Jedną z możliwości jest tworzenie sieci międzyorganizacyjnych między sądami z różnych szczebli hierarchii, które będą nastawione na dzielenie się wiedzą...
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Selected problems of determining the course of railway routes by use of GPS network solution
PublicationW 2009 roku Politechnika Gdańska rozpoczęła prace nad wykorzystaniem ciągłych pomiarów pozycji systemów geodezji satelitarnej dla wyznaczania przebiegu trasy kolejowej z wykorzystaniem fazowych metod GPS opartych o serwis NAVGEO polskiej Aktywnej Sieci Geodezyjnej ASG-EUPOS. W celu eliminacji błędów przypadkowych wpływających na dokładność wyznaczenia trasy kolejowej w następnym roku zespół przeprowadził dwie kampanie pomiarowe...
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Reliability of the intermodal transport network under disrupted conditions in the rail freight transport
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"All together to protect you" – ATLAS Network, European Special Intervention Units
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Step-Up DC/DC Converters With Cascaded Quasi-Z-Source Network
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Integration of multi-interface conversion channel using FPGA for modular photonic network
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Kernel-Based Fuzzy C-Means Clustering Algorithm for RBF Network Initialization
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Multimodal Network Based Graphs of Primitives Storage Concept for Web Mining CBIR
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Medical Digital Library Services as an Improvement of the Teleconsultation System in the Regional Health Network
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Optimal programming of critical sections in modern network processors under performance requirements.
PublicationPrzegląd konstrukcji i zastosowań metod programowania sekcji krytycznych w nowoczesnych procesorach sieciowych rodziny Intel IXP. Porównanie wydajnościowe w formie tabeli.
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Proposal of a System Loss Model for Body Area Network in Passenger Ferry Environment
PublicationIn the paper, proposal of an empirical off-body system loss model for Body Area Networks working in a passenger ferry environment at 2.45 GHz has been presented. The measurements were carried out for dynamic scenarios in the discotheque passenger ferry environment. The general model formula consists of three components: mean system loss, attenuation resulting from the variable antenna position on the human body, and attenuation...
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A repeated game formulation of network embedded coding for multicast resilience in extreme conditions
PublicationComputer networks and data sharing applications are vital for our current society and fundamental for any available ICT solution, so that networking is considered as one of the key critical infrastructures and its correct behavior should be always enforced, even in case of disasters or severe execution conditions. Resilience is a strongly demanding nonfunctional requirement for current computer networks, and one of the key factors...
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Assessment and Optimization of Air Monitoring Network for Smart Cities with Multicriteria Decision Analysis
PublicationEnvironmental monitoring networks need to be designed in efficient way, to minimize costs and maximize the information granted by their operation. Gathering data from monitoring stations is also the essence of Smart Cities. Agency of Regional Air Quality Monitoring in the Gdańsk Metropolitan Area (pol. ARMAAG) was assessed in terms of its efficiency to obtain variety of information. The results on one-month average concentrations...
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Wireless Local Area Network Technologies as Communication Solutions for Unmanned Surface Vehicles
PublicationAs the number of research activities and practical deployments of unmanned vehicles has shown a rapid growth, topics related to their communication with operator and external infrastructure became of high importance. As a result a trend of employing IP communication for this purpose is emerging and can be expected to bring significant advantages. However, its employment can be expected to be most effective using broadband communication...
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5G Millimeter Wave Network Optimization: Dual Connectivity and Power Allocation Strategy
PublicationThe fifth generation (5G) of mobile networks utilizing millimeter Wave (mmWave) bands can be considered the leading player in meeting the continuously increasing hunger of the end user demands in the near future. However, 5G networks are characterized by high power consumption, which poses a significant challenge to the efficient management of base stations (BSs) and user association. Implementing new power consumption and user...
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Neural oscillations induced by IAPS pictures (session 14)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 13)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 16)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 19)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 17)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 22)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 15)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 21)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 20)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 12)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 18)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 10)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...
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Neural oscillations induced by IAPS pictures (session 1)
Open Research DataThe data were collected to perform research on the possibility of controlling the content displayed on the monitor screen using human emotional states extracted from EEG signals. The dataset contains recordings of 14-channel EEG signals gathered from seven persons aged 23 - 35 within 26 sessions, during which 45 different random photos, taken from the...