Wyniki wyszukiwania dla: RDF DATASET PROFILING
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Kinetics of hexane and cyclohexane biodegradation using Candida subhashii in mineral salt medium in the presence of DES solution
Dane BadawczeDataset presents results of investigations on kinetics of biodegradation of hexane and cyclohexane in Candida subhashii.
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Measurement spectrum obtained with the use of ZnO coated microsphere-based fiber-optic sensor - microsphere inspection s.5
Dane BadawczeApplication of a microsphere-based fiber-optic sensor with 200 nm zinc oxide (ZnO) coating, deposited by Atomic Layer Deposition (ALD) method, for temperature measurements between 100°C and 300°C, is presented. The main advantage of integrating a fiber-optic microsphere with a sensing device is the possibility of monitoring the integrity of the sensor...
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Testing of DES toxicity towards Candida subhashii
Dane BadawczeDataset presents results of testing toxicity of selected DES solutions in mineral salt medium towards Candida subhashii.
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Time frequency representation of Doppler boold flow recordings
Dane BadawczeVital signals registration plays a grate role in biomedical engineering and education process. Well acquired data allow future engineers to observe certain physical phenomenons as well learn how to correctly process and interpret the data. This data set was designed for students to learn about Doppler phenomena and to demonstrate correctly and incorrectly...
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Calibration images under different lighting conditions vol. 1
Dane BadawczeDataset description: Calibration images under different lighting conditions vol. 1
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Deflection measurement of field section with pavement with base course made of Cement Bitumen Treated Material Mixture C3E4 (28, 180, 270, 365 days after compaction)
Dane BadawczeDataset presents data of deflections determined for pavement with base course made of cold recycled mixture – cement bitumen treated material mixture with following binding agents: 3% cement, 4% emulsion (C3E4). Mixture was designed according to Polish requirements for the base course of pavement. Mixture was mixed in stationary plant and compacted...
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Tool Wear Monitoring Using Improved Dragonfly Optimization Algorithm and Deep Belief Network
PublikacjaIn recent decades, tool wear monitoring has played a crucial role in the improvement of industrial production quality and efficiency. In the machining process, it is important to predict both tool cost and life, and to reduce the equipment downtime. The conventional methods need enormous quantities of human resources and expert skills to achieve precise tool wear information. To automatically identify the tool wear types, deep...
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Spatiotemporal Assessment of Satellite Image Time Series for Land Cover Classification Using Deep Learning Techniques: A Case Study of Reunion Island, France
PublikacjaCurrent Earth observation systems generate massive amounts of satellite image time series to keep track of geographical areas over time to monitor and identify environmental and climate change. Efficiently analyzing such data remains an unresolved issue in remote sensing. In classifying land cover, utilizing SITS rather than one image might benefit differentiating across classes because of their varied temporal patterns. The aim...
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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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Metoda OptD do redukcji danych w opracowaniu wyników pomiarów linii elektroenergetycznych
PublikacjaSkaning laserowy to technologia dostarczająca we względnie krótkim czasie dużą ilość danych pomiarowych. Jest to zarazem pozytywna jak i negatywna cecha tej technologii. Z jednej strony w wyniku skaningu otrzymuje się dane, które szczegółowo odzwierciedlają pomierzony obiekt. Z drugiej strony trudność sprawia przetwarzanie takiej ilości danych i nie zawsze wszystkie dane ze skaningu są niezbędne do realizacji wybranego zadania....
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Reducing Monitoring Costs in Industrially Contaminated Rivers: Cluster and Regression Analysis Approach
PublikacjaMonitoring contamination in river water is an expensive procedure, particularly for developing countries where pollution is a significant problem. This study was conducted to provide a pollution monitoring strategy that reduces the cost of laboratory analysis. The new monitoring strategy was designed as a result of cluster and regression analysis on field data collected from an industrially influenced river. Pollution sources in...
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Attention-Based Deep Learning System for Classification of Breast Lesions—Multimodal, Weakly Supervised Approach
PublikacjaBreast cancer is the most frequent female cancer, with a considerable disease burden and high mortality. Early diagnosis with screening mammography might be facilitated by automated systems supported by deep learning artificial intelligence. We propose a model based on a weakly supervised Clustering-constrained Attention Multiple Instance Learning (CLAM) classifier able to train under data scarcity effectively. We used a private...
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Comparative study on total nitrogen prediction in wastewater treatment 1 plant and effect of various feature selection methods on machine learning algorithms performance
PublikacjaWastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods are used in the pre-processing section for enhancing the model performance. This study aims to evaluate the effect of seven different FS methods (filter, wrapper, and embedded methods) on enhancing the prediction accuracy for total nitrogen (TN) in the WWTP...
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Towards Scalable Simulation of Federated Learning
PublikacjaFederated learning (FL) allows to train models on decentralized data while maintaining data privacy, which unlocks the availability of large and diverse datasets for many practical applications. The ongoing development of aggregation algorithms, distribution architectures and software implementations aims for enabling federated setups employing thousands of distributed devices, selected from millions. Since the availability of...
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How do responsible universities perceive their social engagement? In search of signs of Creating Shared Value by the University
PublikacjaObjectives: University social responsibility still lacks legitimisation and is perceived as a burden that hinders academics from doing research and teaching. Creating Shared Value by the University may serve as a tool to motivate universities to engage in initiatives for society, as this is beneficial for both parties. Yet, some researchers perceive the creation of economic value as inappropriate for academia. Thus, it was interesting...
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Detecting Apples in the Wild: Potential for Harvest Quantity Estimation
PublikacjaKnowing the exact number of fruits and trees helps farmers to make better decisions in their orchard production management. The current practice of crop estimation practice often involves manual counting of fruits (before harvesting), which is an extremely time-consuming and costly process. Additionally, this is not practicable for large orchards. Thanks to the changes that have taken place in recent years in the field of image...
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Enhancing Renal Tumor Detection: Leveraging Artificial Neural Networks in Computed Tomography Analysis
PublikacjaRenal cell carcinoma is one of the most common cancers in Europe, with a total incidence rate of 18.4 cases per 100 000 population. There is currently significant overdiagnosis (11% to 30.9%) at times of planned surgery based on radiological studies. The purpose of this study was to create an artificial neural network (ANN) solution based on computed tomography (CT) images as an additional tool to improve the differentiation of...
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Introduction of SAF-T in selected European countries together with applicable national names
Dane BadawczeAmong the methods used by individual countries in norder to seal the tax collection the introduction of the Standard Audit File for Tax is one of the most important ones.
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Opposite pressure impact on electron-phonon coupling in Eu2+ and Ce3+ doped AlN
Dane BadawczeThis data analyzes the influence of pressure on electron–lattice interactions in the 5d excited states of Ce3+ and Eu2+ in the AlN host based on pressure-dependent photoluminescence and photoluminescence excitation spectra. High-pressure measurements on AlN samples doped with Eu2+ and Ce3+ ions reveal that the Stokes shift increases with pressure for...
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The assessment of microbiological antimicrobial properties of PE film loaded with nanozinc filler
Dane BadawczeThe dataset contains the results of a single series of determinations of the antimicrobial properties against E. coli and S. aureus of polyethylene films containing the nanozinc filler.
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Tagged images with LEGO bricks
Dane BadawczeThe data set conatins tagged images conatining LEGO bricks used for traning LEGO bricks detecting network. The dataset contains two types of images:
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Terrestrial Survey Images - Multispectral Exterior Model - Gdansk Church Pw. Św. Wojciecha - Micasense Dual
Dane BadawczeDataset description: Raw images from photogrammetric survey. Object: Kościół Rzymskokatolicki Pw. Św. WojciechaLocation: Gdansk, Pomerania, PolandDrone type: N/A (terrestrial images)Flight plan: Free - walk around the object with camera. 3 images taken at the point.Target Product: 3D Model - Multispectral ModelDate: 24.04.2022Direct georeferencing:...
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Tensile strength test of PE foils modified with zinc oxide and zinc salts
Dane BadawczeThis dataset contains the results of PE foils mechanical tests, in which the material was evaluated for strength and extensibility at the moment of breaking and based on the same tests preceded by material fatigue in 50 stretching cycles. The principle of the method is to stretch the test sample placed in the clamps of the stretching apparatus at a...
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Effects of liquid phase modification on the values of surface tension of trickling liquid
Dane BadawczeDataset presents the values of surface tension of trickling liquid sampled from three running biotrickling filters.
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Database of the minimal sets of Lefschetz periods for Morse-Smale diffeomorphisms of a connected sum of g real projective planes.
Dane BadawczeMorse–Smale diffeomorphisms, structurally stable and having relatively simple dynamics, constitute an important subclass of diffeomorphisms that were carefully studied during past decades. For a given Morse–Smale diffeomorphism one can consider “Minimal set of Lefschetz periods”, which provides the information about the set of periodic points of considered...
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The database of odd algebraic periods for quasi-unipotent self-maps of a space having the same homology group as the connected sum of g tori
Dane BadawczeThe dataset consists of 20 files indexed by numbers g=1,...,20. Each file provides sets of odd algebraic periods for all quasi-unipotent self-maps of a space having the same homology groups as the connected sum of g tori. Let us remark that each data set covers all algebraical restrictions that come from zeta functions for the sets of minimal Lefschetz...
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Conley-Morse graphs for a two-dimensional discrete neuron model (low resolution)
Dane BadawczeThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Conley-Morse graphs for a two-dimensional discrete neuron model (limited range)
Dane BadawczeThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Conley-Morse graphs for a two-dimensional discrete neuron model (full range)
Dane BadawczeThis dataset contains selected results of rigorous numerical computations conducted in the framework of the research described in the paper “Topological-numerical analysis of a two-dimensional discrete neuron model” by Paweł Pilarczyk, Justyna Signerska-Rynkowska and Grzegorz Graff. A preprint of this paper is available at https://doi.org/10.48550/arXiv.2209.03443.
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Adiabatic potential energy curves of the singlet Pi and Delta gerade states of the Lithium dimer
Dane BadawczeAdiabatic potential energy curves of the singlet Pi and Delta gerade states have been calculated for the Lithium dimer. The results of the three excited states of the symmetries singlet Pi and Delta gerade have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials describing the interaction...
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Adiabatic potential energy curves of the triplet Sigma ungerade plus states of the Lithium dimer
Dane BadawczeAdiabatic potential energy curves of the triplet Sigma ungerade plus states have been calculated for the Lithium dimer. The results of the five excited states of the symmetry triplet Sigma ungerade plus have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials describing the interaction...
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Adiabatic potential energy curves of the triplet Pi gerade states of the Lithium dimer
Dane BadawczeAdiabatic potential energy curves of the triplet Pi gerade states have been calculated for the Lithium dimer. The results of the two excited states of the symmetry triplet Pi gerade have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials describing the interaction of valence electrons...
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Adiabatic potential energy curves of the singlet Sigma gerade plus states of the Lithium dimer
Dane BadawczeAdiabatic potential energy curves of the singlet Sigma gerade plus states have been calculated for the Lithium dimer. The results of the ground state and three excited states of the symmetry singlet Sigma gerade plus have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials describing...
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Adiabatic potential energy curves of the singlet Sigma ungerade plus states of the Lithium dimer
Dane BadawczeAdiabatic potential energy curves of the singlet Sigma ungerade plus states have been calculated for the Lithium dimer. The results of the three excited states of the symmetry singlet Sigma ungerade plus have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials describing the interaction...
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Adiabatic potential energy curves of the triplet Sigma gerade plus states of the Lithium dimer
Dane BadawczeAdiabatic potential energy curves of the triplet Sigma gerade plus states have been calculated for the Lithium dimer. The results of the three excited states of the symmetry triplet Sigma gerade plus have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials describing the interaction...
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Adiabatic potential energy curves of the triplet Pi and Delta ungerade states of the Lithium dimer
Dane BadawczeAdiabatic potential energy curves of the triplet Pi and Delta ungerade states have been calculated for the Lithium dimer. The results of the three excited states of the symmetries triplet Pi and Delta ungerade have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials describing the interaction...
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The luminescence study of LiGa5(1−x)O8:5xCr3+ coumpounds
Dane BadawczeInfrared luminescent materials have evoked much attention from chemists and material scientists. Although substantial progress is made in materials design, the luminescent mechanism remains ambiguous in the complex structures, presenting major barriers to developing novel infrared luminescent materials. Herein, this study aims to deliberate a complete...
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Adiabatic potential energy curves of the singlet Pi ungerade states of the Lithium dimer
Dane BadawczeAdiabatic potential energy curves of the singlet Pi ungerade states have been calculated for the Lithium dimer. The results of the two excited states of the symmetry singlet Pi ungerade have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials describing the interaction of valence electrons...
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Application of COSMO-RS-DARE as a Tool for Testing Consistency of Solubility Data: Case of Coumarin in Neat Alcohols
PublikacjaCoumarin is a naturally occurring lactone-type benzopyrone with various applications in the pharmaceutical, food, perfume, and cosmetics industries. This hydrophobic compound is poorly soluble in water but dissolves well in protic organic solvents such as alcohols. Despite the extensive use of coumarin, there are only a few reports documenting its solubility in organic solvents, and some reported data are incongruent, which...
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On the Role of Polarimetric Decomposition and Speckle Filtering Methods for C-Band SAR Wetland Classification Purposes
PublikacjaPrevious wetlands studies have thoroughly verified the usefulness of data from synthetic aperture radar (SAR) sensors in various acquisition modes. However, the effect of the processing parameters in wetland classification remains poorly explored. In this study, we investigated the influence of speckle filters and decomposition methods with different combinations of filter and decomposition windows sizes on classification accuracy....
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Predicting seismic response of SMRFs founded on different soil types using machine learning techniques
PublikacjaPredicting the Maximum Interstory Drift Ratio (M-IDR) of Steel Moment-Resisting Frames (SMRFs) is a useful tool for designers to approximately evaluate the vulnerability of SMRFs. This study aims to explore supervised Machine Learning (ML) algorithms to build a surrogate prediction model for SMRFs to reduce the need for complex modeling. For this purpose, twenty well-known ML algorithms implemented in Python software are trained...
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Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
PublikacjaThis study assessed the usefulness of algorithms in estimating energy consumption and carbon dioxide emissions in Viet- nam, in which the training dataset was used to train the models linear regression, random forest, XGBoost, and AdaBoost, allowing them to comprehend the patterns and relationships between population, GDP, and carbon dioxide emissions, energy consumption. The results revealed that random forest, XGBoost, and AdaBoost...
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OOA-modified Bi-LSTM network: An effective intrusion detection framework for IoT systems
PublikacjaCurrently, the Internet of Things (IoT) generates a huge amount of traffic data in communication and information technology. The diversification and integration of IoT applications and terminals make IoT vulnerable to intrusion attacks. Therefore, it is necessary to develop an efficient Intrusion Detection System (IDS) that guarantees the reliability, integrity, and security of IoT systems. The detection of intrusion is considered...
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Machine learning-based seismic response and performance assessment of reinforced concrete buildings
PublikacjaComplexity and unpredictability nature of earthquakes makes them unique external loads that there is no unique formula used for the prediction of seismic responses. Hence, this research aims to implement the most well-known Machine Learning (ML) methods in Python software to propose a prediction model for seismic response and performance assessment of Reinforced Concrete Moment-Resisting Frames (RC MRFs). To prepare 92,400 data...
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Concurrent Video Denoising and Deblurring for Dynamic Scenes
PublikacjaDynamic scene video deblurring is a challenging task due to the spatially variant blur inflicted by independently moving objects and camera shakes. Recent deep learning works bypass the ill-posedness of explicitly deriving the blur kernel by learning pixel-to-pixel mappings, which is commonly enhanced by larger region awareness. This is a difficult yet simplified scenario because noise is neglected when it is omnipresent in a wide...
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The statistic properties of rms voltage and frequency in the ship's electrical power system
Dane BadawczeThe dataset is a part of the research results on the quality of supply voltage on bus bars of the main switchboard of the ship's electrical power system in different states of ship exploitation. The attached dataset contains the results of a statistical analysis of rms voltage and frequency in the ship's electrical power system. The following statistical...
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Detection of cellulose production capacity of recombinant Escherichia coli strains BL21(DE3) and AAEC191A
Dane BadawczeBacteria that form biofilms generate an extracellular matrix (ECM), where cellulose stands out as a key constituent. An approach for assessing microorganisms' cellulose production involves using calcofluor white staining on colonies. In this method, a fluorescent dye (calcofluor-white) is introduced to a stable YESCA substrate composed of casamino acids,...
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The luminescence study of Ga1.98–xAlxO3:0.02Cr3+ coumpounds.
Dane BadawczeA chemical and mechanical pressure-induced photoluminescence tuning method was developed through structural evolution and hydrostatic pressure involving phase transition. A series of Ga1.98−xAlxO3:0.02Cr3+ phosphors were synthesized by collaborators from National Taiwan University. Structural evolution reveals a crystal phase change with the incorporation...
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Potential energy curves of the doublet Sigma gerade plus states of the Lithium dimer cation
Dane BadawczeAdiabatic potential energy curves of the doublet Sigma gerade plus (dSg+) states have been calculated for the Lithium dimer cation (Li2+). The results of the ground state and four excited states of the symmetry doublet Sigma gerade plus have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials...
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Potential energy curves of the doublet Sigma ungerade plus states of the Lithium dimer cation
Dane BadawczeAdiabatic potential energy curves of the doublet Sigma ungerade plus (dSu+) states have been calculated for the Lithium dimer cation (Li2+). The results of the five excited states of the symmetry doublet Sigma ungerade plus have been obtained by the nonrelativistic multireference configuration interaction (MRCI) method used with pseudopotentials describing...