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The Role of Daylight in Forming the Traditional Space: Classification of Traditional Iranian Daylighting Elements
PublicationDaylight character in a space can be defined as the manner in which daylight permeates and is dispersed in that space. The architectural elements related to daylighting under investigation in this study were rooted in Iranian-Isfahani heritage, considered traditional Iranian architecture (from the 16th to early 20th century). The establishment of a classification system for daylighting systems holds significant utility. This...
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Musical Instrument Classification and Duet Analysis Employing Music Information Retrieval Techniques.
PublicationArtykuł przedstawia w sposób przeglądowy prace Katedry Systemów Multimedialnych Politechniki Gdańskiej związane z wyszukiwaniem informacji muzycznej, a w szczególności z klasyfikacją dźwięków instrumentów muzycznych. W opisywanych eksperymentach wykorzystano sztuczne sieci neuronowe.
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Segmentation-Based BI-RADS ensemble classification of breast tumours in ultrasound images
PublicationBackground: The development of computer-aided diagnosis systems in breast cancer imaging is exponential. Since 2016, 81 papers have described the automated segmentation of breast lesions in ultrasound images using arti- ficial intelligence. However, only two papers have dealt with complex BI-RADS classifications. Purpose: This study addresses the automatic classification of breast lesions into binary classes (benign vs. ma- lignant)...
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Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data
PublicationThe field of cancer diagnostics has been revolutionized by liquid biopsies, which offer a bridge between laboratory research and clinical settings. These tests are less invasive than traditional biopsies and more convenient than routine imaging methods. Liquid biopsies allow studying of tumor-derived markers in bodily fluids, enabling the development of more precise cancer diagnostic tests for screening, disease monitoring, and...
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Detecting type of hearing loss with different AI classification methods: a performance review
PublicationHearing is one of the most crucial senses for all humans. It allows people to hear and connect with the environment, the people they can meet and the knowledge they need to live their lives to the fullest. Hearing loss can have a detrimental impact on a person's quality of life in a variety of ways, ranging from fewer educational and job opportunities due to impaired communication to social withdrawal in severe situations. Early...
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Rough Set-Based Classification of EEG Signals Related to Real and Imagery Motion
PublicationA rough set-based approach to classification of EEG signals registered while subjects were performing real and imagery motions is presented in the paper. The appropriate subset of EEG channels is selected, the recordings are segmented, and features are extracted, based on time-frequency decomposition of the signal. Rough set classifier is trained in several scenarios, comparing accuracy of classification for real and imagery motion....
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Pursuing the Deep-Learning-Based Classification of Exposed and Imagined Colors from EEG
PublicationEEG-based brain-computer interfaces are systems aiming to integrate disabled people into their environments. Nevertheless, their control could not be intuitive or depend on an active external stimulator to generate the responses for interacting with it. Targeting the second issue, a novel paradigm is explored in this paper, which depends on a passive stimulus by measuring the EEG responses of a subject to the primary colors (red,...
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Multiplicative Long Short-Term Memory with Improved Mayfly Optimization for LULC Classification
PublicationLand Use and Land Cover (LULC) monitoring is crucial for global transformation, sustainable land control, urban planning, urban growth prediction, and the establishment of climate regulations for long-term development. Remote sensing images have become increasingly important in many environmental planning and land use surveys in recent times. LULC is evaluated in this research using the Sat 4, Sat 6, and Eurosat datasets. Various...
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Minichannel and minigap classification criteria based on the aspect ratio of the minigeometry: A numerical study
PublicationA detailed numerical investigation has been carried out to analyze the diabatic flow distribution and velocity profile in 18 minigeometries with various aspect ratios for V-type and I-type flow configurations (for 36 cases) assuming ethanol as a working fluid. The aim of the study is to distinguish the value of the aspect ratio for which the flow in minigeometry starts to be two-dimensional (minigap). Cases with a constant Reynolds...
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Classification of Urban Regeneration Participants as a Basis for Identification of Construction Investment's Risk Sources
PublicationOn the basis of the conducted research it can be concluded that the majority of the existing urban regeneration problems are revealed by the lack of an in-depth analysis of sources and risk factors. For the above reasons, the subject of this study is classification of urban regeneration's participants as a basis for identification of construction investment's risk sources. The research methodology is based on an in-depth analysis...
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Compensation Topologies in IPT Systems: Standards, Requirements, Classification, Analysis, Comparison and Application
PublicationWireless power transfer devices are becoming more relevant and widespread. Therefore, an article is devoted to a review, analysis and comparison of compensation topologies for an inductive power transfer. A new classification of topologies is developed. A lot of attention is paid to the problems of the physical fundamentals of compensation work, standards, safety, and five main topology requirements. It is determined, that topologies...
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UAV Survey Images - 3D Model - Jastrzebia Gora Cliff 07.2017- MP1
Open Research DataDataset description: Raw images from photogrammetric survey. Object: Cliff in Jastrzebioa GoraLocation: Jastrzebia Gora, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid/Free FlightTarget Product: 3D ModelDate: 06.07.2017Direct georeferencing: yesMetadata data: yes/GPSGCP: NOGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage...
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UAV Survey Images - 3D Model - Jastrzebia Gora Cliff 11.2017- MP1
Open Research DataDataset description: Raw images from photogrammetric survey. Object: Cliff in Jastrzebioa GoraLocation: Jastrzebia Gora, Pomerania, PolandDrone type: DJI Mavic Pro 1Flight plan: Single Grid/Free FlightTarget Product: 3D ModelDate: 05.11.2017Direct georeferencing: yesMetadata data: yes/GPSGCP: NOGCP Quality: N/ACamera Name: DJI FC220Model type: PerspectiveImage...
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Lack of control over work and organizational citizenship behavior: overwork climate as a suppressor variable
Open Research DataThis study investigates a suppressor effect in the relationship between lack of control over work and organizational citizenship behavior (OCB). Suppressor effects operate when the addition of a predictor (in our study it is an overwork climate) increases the predictive power of another variable (lack of control over work) in predicting an outcome variable...
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Self-Censorship in a Workplace: The Role of Gender, Management Position, Procedural Justice and Organizational Climate
Open Research DataData consist of three studies. In study 1 (N = 948) we test whether women manifest more self-censorship than men and we verify whether this effect is maintained when women and men hold managerial position. Then, we analyse the effects of procedural justice (study 2, N = 98) and communal organizational climate (study 3, N = 567) on women’s and men’s...
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International Journal of Climate Change Strategies and Management
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International Journal of Climate Change: Impacts and Responses
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A 0.5-V bulk-driven voltage follower / DC level shifter and its application in class AB output stage
PublicationA simple realization of a 0.5-V bulk-driven voltage follower/DC level shifter, designed in a 0.18um CMOS technology is presented in the paper. The circuit is characterized by large input and output voltage swings, and a DC voltage gain close to unity. The DC voltage shift between input and output terminals can be regulated in a certain interval around zero, by means of biasing current sinks. An application of the proposed voltage...
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Anthra[1,2-d][1,2,3]triazine-4,7,12(3H)-triones as a New Class of Antistaphylococcal Agents: Synthesis and Biological Evaluation
PublicationThe development and spread of resistance of human pathogenic bacteria to the action of commonly used antibacterial drugs is one of the key problems in modern medicine. One of the especially dangerous and easily developing antibiotic resistant bacterial species is Staphylococcus aureus. Anthra[1,2-d][1,2,3]triazine-4,7,12(3H)-triones 22–38 have been developed as novel effective antistaphylococcal agents. These compounds have been...
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MAYO CLINIC PROCEEDINGS
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Reduced attention toward faces, intentionality and blame ascription in violent offenders and community‐based adults: Evidence from an eye‐tracking study
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Attributional and attentional patterns in the perception of ambiguous harmful encounters involving peer and authority figures
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Revista de Psicopatologia y Psicologia Clinica
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Archivos de Alergia e Inmunologia Clinica
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Revista Clinica de Ortodontia Dental Press
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EMERGENCY MEDICINE CLINICS OF NORTH AMERICA
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ENDOCRINOLOGY AND METABOLISM CLINICS OF NORTH AMERICA
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Gastrointestinal Endoscopy Clinics of North America
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IMMUNOLOGY AND ALLERGY CLINICS OF NORTH AMERICA
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HEMATOLOGY-ONCOLOGY CLINICS OF NORTH AMERICA
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INFECTIOUS DISEASE CLINICS OF NORTH AMERICA
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OBSTETRICS AND GYNECOLOGY CLINICS OF NORTH AMERICA
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RHEUMATIC DISEASE CLINICS OF NORTH AMERICA
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Surgical Oncology Clinics of North America
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Problem of soil science based classification of land in the context of updating land and building records
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Clinical characteristics of children with MIS-C fulfilling classification criteria for macrophage activation syndrome
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The Effectiveness of Using a Pretrained Deep Learning Neural Networks for Object Classification in Underwater Video
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Surface water quality assessment by the use of combination of multivariate statistical classification and expert information
PublicationThe present study deals with the assessment of surface water quality from an industrial-urban region located in northern Poland near to the city of Gdansk. Concentrations of thirteen chemicals includingtotal polycyclic aromatic hydrocarbons (PAHs), halogenated volatile organic compounds (HVOCs) and major ions in the samples collected at five sampling points during six campaigns were used as variablesthroughout the study. The originality...
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Bimodal classification of English allophones employing acoustic speech signal and facial motion capture
PublicationA method for automatic transcription of English speech into International Phonetic Alphabet (IPA) system is developed and studied. The principal objective of the study is to evaluate to what extent the visual data related to lip reading can enhance recognition accuracy of the transcription of English consonantal and vocalic allophones. To this end, motion capture markers were placed on the faces of seven speakers to obtain lip...
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Systematic approach to binary classification of images in video streams using shifting time windows
Publicationin the paper, after pointing out of realistic recordings and classifications of their frames, we propose a new shifting time window approach for improving binary classifications. We consider image classification in tewo steps. in the first one the well known binary classification algorithms are used for each image separately. In the second step the results of the previous step mare analysed in relatively short sequences of consecutive...
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MPEG-7-based low level descriptor effectiveness in the automatic musical sound classification.
PublicationCelem referatu jest określenie, które z parametrów opisowych MPEG-7 są najbardziej przydatne w klasyfikacji dźwięków instrumentów muzycznych. Określana jest wysokość dźwięku a następnie wyznaczane są wartości parametrów zawartych w standardzie MPEG-7. Otrzymany wektor parametrów poddawany jest analizie statystycznej w celu wyeliminowania danych nadmiarowych. Do celów automatycznej klasyfikacji i testów zaprojektowano dwa systemy...
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The present state of requirements of international association of classification societies (IACS) for wrought aluminium alloys
PublicationW referacie przedstawiono aktualną sytuację w zakresie stopów aluminium z serii 5xxx i 6xxx do przeróbki plastycznej, ze szczególnym uwzględnieniem zmian w tym zakresie zapoczątkowanych przez unifikację wymagań w dokumentach nr 25 i 26 opublikowanychostatnio przez International Association of Classification Societies (IACS). Jednym z najważniejszych punktów w tych dokumentach jest wymaganie odnośnie przeprowadzania próby odporności...
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A Study on Influence of Normalization Methods on Music Genre Classification Results Employing kNN Algorithms
PublicationThis paper presents a comparison of different normalization methods applied to the set of feature vectors of music pieces. Test results show the influence of min-nlax and Zero-Mean normalization methods, employing different distance functions (Euclidean, Manhattan, Chebyshev, Minkowski) as a pre-processing for genre classification, on k-Nearest Neighbor (kNN) algorithm classification results.
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Selection of an artificial pre-training neural network for the classification of inland vessels based on their images
PublicationArtificial neural networks (ANN) are the most commonly used algorithms for image classification problems. An image classifier takes an image or video as input and classifies it into one of the possible categories that it was trained to identify. They are applied in various areas such as security, defense, healthcare, biology, forensics, communication, etc. There is no need to create one’s own ANN because there are several pre-trained...
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Market Structure and Market Power in Selected Sectors of The Polish Economy Based on COICOP Classification
PublicationThis paper present new and simple measures of market structure and market power. Based on the classical models of market structures, where a given structure is determined by the number of enterprises, indexes of degree of monopoly have been estimated, representing an average number of entities per branch. Additionally, market power indexes have been determined as an average revenue per an enterprise in a given branch. This approach...
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Brief Literature Review and Classification System of Reliability Methods for Evaluating the Stability of Earth Slopes
PublicationThe issue of slope stability is one of the most important and yet most difficult geotechnical problems. Assessing slope stability is particularly difficult because of the many uncertainties involved in the process. To take these uncertainties into account, probabilistic methods are used, and the reliability approach is adopted. There are many methods for reliability assessment of earth slope stability. However, there is no system...
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Analyzing the Impact of Simulated Multispectral Images on Water Classification Accuracy by Means of Spectral Characteristics
PublicationRemote sensing is widely applied in examining the parameters of the state and quality of water. Spectral characteristics of water are strictly connected with the dispersion of electromagnetic radiation by suspended matter and the absorp-tion of radiation by water and chlorophyll a and b.Multispectral sensor ALI has bands within the ranges of electromagnetic radia-tion: blue and infrared, absent in sensors such as Landsat, SPOT,...
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Rivista di filologia e di istruzione classica
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A New Adaptive Method for the Extraction of Steel Design Structures from an Integrated Point Cloud
Open Research DataA new automatic and adaptive algorithm for edge extraction from a random point cloud was developed and presented herein. The proposed algorithm was tested using real measurement data. The developed algorithm is able to realistically reduce the amount of redundant data and correctly extract stable edges representing the geometric structures of a studied...
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Design of three-phase three-level CIC T-source inverter with maximum boost control
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