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Wyniki wyszukiwania dla: Automated Parcel Lockers
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Efficient implementation of the Cauchy method for automated CAD-model construction.
PublikacjaW artykule przedstawiona została efektywna metoda konstrukcji wieloparametrycznych modeli układów mikrofalowych na podstawie wyników symulacji pełnofalowej. Algorytm wykorzystuje metodę najmniejszych kwadratów (TLS) do rozwiązania problemu interpolacyjnego i automatycznie dobiera rząd modelu.Przydatność i dokładność metody jest pokazana na przykładzie projektowania filtru z wykorzystaniem modeli trzech i pięciu zmiennych.
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Connected & Automated Urban Mobility, Zombie Cars and Kitchen Knives: Will Autonomous Automobiles, Self-Driving Car-Sharing and Ride-Hailing, and Driverless Shuttles Harm Cities?
PublikacjaThere is a deficiency of supportive evidence to verify thesis that cities are prepared for mobility revolution which already begun and will advance exponentially. Furthermore, present revisions mostly emphasize how emerging mobility solutions will alter transport efficiency or affect mass transit usage, rather than on urban morphology, metropolitan society, nor local communities. Author is thoroughly concerned that municipalities...
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SAE International Journal of Connected and Automated Vehicles
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JOURNAL OF AUTOMATED METHODS & MANAGEMENT IN CHEMISTRY
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Automated measurement method for assessing thermal-dependent electronic characteristics of thin boron-doped diamond-graphene nanowall structures
PublikacjaThis paper investigates the electrical properties of boron-doped diamond-graphene (B:DG) nanostructures, focusing on their semiconductor characteristics. These nanostructures are synthesized on fused silica glass and Si wafer substrates to compare their behaviour on different surfaces. A specialized measurement system, incorporating Python-automated code, was developed for an in-depth analysis of electronic properties under various...
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Towards Computer-Based Automated Screening of Dementia Through Spontaneous Speech
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?? of the Sky? - automated search for fast optical transients over the whole sky
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An automated microwave planar filter design based on space mapping optimization
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Automated Generation of Modular Assurance Cases with the System Assurance Reference Model
PublikacjaAssurance cases are structured arguments used to demonstrate specific system properties such as safety or security. They are used in many industrial sectors including automotive, aviation and medical devices. Assurance cases are usually divided into modules which address goals allocated to specific system properties, components, functions, modes of operation or environmental conditions. Depending on the system and assurance process...
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Low-cost multiband compact branch-line coupler design using response features and automated EM model fidelity adjustment
PublikacjaDesign closure of compact microwave components is a challenging problem because of significant electromagnetic (EM) cross-couplings in densely arranged layouts. A separate issue is a large number of designable parameters resulting from replacement of conventional transmission line sections by compact microstrip resonant cells. This increases complexity of the design optimization problem and requires employment of expensive high-fidelity...
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An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublikacjaSentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...
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Automated speech-based screening of depression using deep convolutional neural networks
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Modified U-Net with attention gate for enhanced automated brain tumor segmentation
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Electro-optical system for the automated selection of dental implants according to their colour matching
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Sea Captains’ Views on Automated Ship Route Optimization in Ice-covered Waters
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Automated hearing loss type classification based on pure tone audiometry data
PublikacjaHearing problems are commonly diagnosed with the use of tonal audiometry, which measures a patient’s hearing threshold in both air and bone conduction at various frequencies. Results of audiometry tests, usually represented graphically in the form of an audiogram, need to be interpreted by a professional audiologist in order to determine the exact type of hearing loss and administer proper treatment. However, the small number of...
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Rapid Antenna Optimization with Restricted Sensitivity Updates by Automated Dominant Direction Identification
PublikacjaMeticulous tuning of geometry parameters turns pivotal in improving performance of antenna systems. It is more and more often realized using formal optimization methods, which is demonstrably the most efficient way of handling multiple design variables, objectives, and constraints. Although in some cases a need for launching global search arises, a typical design scenario only requires local optimization, especially when a decent...
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Automated Detection of Sleep Apnea and Hypopnea Events Based on Robust Airflow Envelope Tracking in the Presence of Breathing Artifacts. - [IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS]
PublikacjaThe paper presents a new approach to detection of apnea/hypopnea events, in the presence of artifacts and breathing irregularities, from a single channel airflow record. The proposed algorithm, based on a robust envelope detector , identifies segments of signal affected by a high amplitude mo d- ulation corresponding to apnea/hypopnea events. It is show n that a robust airflow envelope - free of breathing artifacts - improves effectiveness...
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MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps.
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Deep learning model for automated assessment of lexical stress of non-native english speakers
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Automated detection of sleep apnea and hypopnea events based on robust airflow envelope tracking
PublikacjaThe paper presents a new approach to detection of apnea/hypopnea events, in the presence of artifacts and breathing irregularities, from a single-channel airflow record. The proposed algorithm identifies segments of signal affected by a high amplitude modulation corresponding to apnea/hypopnea events. It is shown that a robust airflow envelope—free of breathing artifacts—improves effectiveness of the diagnostic process and allows...
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An Automated Design of Substrate Integrated Waveguide Filters Based on Implicit Space Mapping Optimization
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Perspectives on developing an automated monitoring system for the EBPR process - experiences from a pilot WWTP.
PublikacjaZaburzenia procesu biologicznego usuwania fosforu (BUF) są często spowodowane rozcieńczeniem ścieków w wyniku dopływu wód opadowych. Podobne efekty zaobserwowano w trakcie serii badań przeprowadzonych w pilotowej oczyszczalni ścieków Hanower-Gummerwald. Celem tych badań było określenie maksymalnej przepustowości hydraulicznej obiektu. Wyniki badań zostały wykorzystane do opracowania systemu automatycznego monitoringu procesu BUF...
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An automated, low-latency environment for studying the neural basis of behavior in freely moving rats
PublikacjaBackground 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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Automated detection of pronunciation errors in non-native English speech employing deep learning
PublikacjaDespite significant advances in recent years, the existing Computer-Assisted Pronunciation Training (CAPT) methods detect pronunciation errors with a relatively low accuracy (precision of 60% at 40%-80% recall). This Ph.D. work proposes novel deep learning methods for detecting pronunciation errors in non-native (L2) English speech, outperforming the state-of-the-art method in AUC metric (Area under the Curve) by 41%, i.e., from...
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Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model with Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization
PublikacjaSurrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, they entail considerable computational expenditures. Replacing EM analysis by fast surrogates provides a way to accelerate the design procedures. Unfortunately, modeling of microwave passives is a challenging...
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Application Of Generative Adversarial Network for Data Augmentation and Multiplication to Automated Cell Segmentation of the Corneal Endothelium
PublikacjaConsidering the automatic segmentation of the endothelial layer, the available data of the corneal endothelium is still limited to a few datasets, typically containing an average of only about 30 images. To fill this gap, this paper introduces the use of Generative Adversarial Networks (GANs) to augment and multiply data. By using the ``Alizarine'' dataset, we train a model to generate a new synthetic dataset with over 513k images....
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Deep-Learning-Based Precise Characterization of Microwave Transistors Using Fully-Automated Regression Surrogates
PublikacjaAccurate 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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What are the true volumes of SEGA tumors? Reliability of planimetric and popular semi-automated image segmentation methods
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The Effectiveness of Semi-Automated and Fully Automatic Segmentation for Inferior Alveolar Canal Localization on CBCT Scans: A Systematic Review
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Automated high-capacity sorption probe for extraction of organic compounds in aqueous samples followed by gas chromatographic analysis.
PublikacjaOpracowano zautomatyzowany zestaw wyposażony w próbnik o dużej pojemności sorpcyjnej do oznaczania związków śladowych z zastosowaniem chromatografii gazowej. Zestaw łączy prostotę SPME z wysoką wydajnością techniki ekstrakcji z zastosowaniem ruchomego elementu sorpcyjnego (SBSE). Procedura pobierania próbek była przeprowadzana z zastosowaniem podajnika automatycznego. Ze względu na pełną automatyzację zestawu, możliwa jest bezobsługowa...
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Rafał Leszczyna dr hab. inż.
OsobyDr hab. inż. Rafał Leszczyna jest profesorem uczelni na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. W lipcu 2020 r., na podstawie osiągnięcia naukowego w obszarze zarządzania cyberbezpieczeństwem infrastruktur krytycznych w sektorze elektroenergetycznym, uzyskał stopień doktora habilitowanego w dziedzinie nauk inżynieryjno-technicznych, dyscyplina informatyka techniczna i telekomunikacja. W latach 2004–2008 pracował...
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Automated Text Annotation Using Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech Detection
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Automated Text Annotation Using a Semi-Supervised Approach with Meta Vectorizer and Machine Learning Algorithms for Hate Speech Detection
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Cost-Efficient Surrogate Modeling of High-Frequency Structures Using Nested Kriging with Automated Adjustment of Model Domain Lateral Dimensions
PublikacjaSurrogate models are becoming popular tools of choice in mitigating issues related to the excessive cost of electromagnetic (EM)-driven design of high-frequency structures. Among available techniques, approximation modeling is by far the most popular due to its versatility. In particular, the surrogates are exclusively based on the sampled simulation data with no need to involve engineering insight or problem-specific knowledge....
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Możliwości zwiększenia jakości części maszyn w elastycznie zautomatyzowanej produkcji.Abilities of quality improvement of machine's parts in flexible automated manufacturing.
PublikacjaWzrastające wymagania dotyczące obniżania kosztów oraz coraz to wyższe wymagania stawiane wyrobom pod względem jakościowym powodują, że działania związane z zapewnieniem jakości stają się decydującym czynnikiem konkurencyjności. Integracja tych działań w systemach sterowania elastycznych urządzeń wytwórczych jest konieczna w celu zapewnienia ekonomicznie efektywnej produkcji realizowanej pod nadzorem takich systemów.Elastyczny...
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A Novel Divisive iK-Means Algorithm with Region-Driven Feature Selection as a Tool for Automated Detection of Tumour Heterogeneity in MALDI IMS Experiments
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Grzebowiska dla zwierząt w Polsce
PublikacjaW niniejszym artykule podjęto tematykę miejsc pochówku zwierząt. Problem został omówiony w odniesieniu do terenu Polski na tle przykładów z zagranicy. Współczesne grzebowiska dla zwierząt powstają w naszym kraju od niedawna i mimo że cmentarze dla zwierząt są u nas stosunkowo nowym zjawiskiem, to już teraz można dostrzec ich typowe cechy przestrzenne. Autorka, na co dzień zajmująca się zagadnieniami z dziedziny architektury, starała...
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Automated Analysis of Images from Confocal Laser Scanning Microscopy Applied to Observation of Calcium Channel Subunits in Nerve Cell Model Line Subjected Electroporation and Calcium
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Marek Moszyński dr hab. inż.
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Automated Software Engineering Conference
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Logic Programming and Automated Reasoning
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International Conference on Automated Deduction
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Practice and Theory of Automated Timetabling
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Respiratory Rythm Phases Classifiction Dataset
Dane BadawczeThe dataset includes recordings of various breath patterns captured using accelerometer and tensometer sensors. The data is labeled into four classes corresponding to different respiratory phases: inhalation, retention, exhalation, and post-breath apnea.
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International Joint Conference on Automated Reasoning
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International Conference on Automated Planning and Scheduling
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International Symposium on Automated Technology for Verification and Analysis
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Karol Zdzisław Zalewski mgr inż.
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A Numerical Model Study on Ice Boom in a Coastal Lake
PublikacjaA numerical study on the effectiveness of the proposed ice boom to be installed near the entrance of Lake Notoro, Hokkaido, Japan to prevent sea ice moving into the lake is presented. A two-dimensional hydro–ice dynamics model was modified to allow for the treatment of ice-boom interaction with the effect of tidal current. The numerical model is a coupled hydrodynamic and ice dynamic model. The ice dynamic component uses a Lagrangian...