Wyszukiwarka
Filtry
wszystkich: 7366
-
Katalog
- Publikacje 5202 wyników po odfiltrowaniu
- Czasopisma 97 wyników po odfiltrowaniu
- Osoby 142 wyników po odfiltrowaniu
- Wynalazki 7 wyników po odfiltrowaniu
- Projekty 10 wyników po odfiltrowaniu
- Laboratoria 1 wyników po odfiltrowaniu
- Zespoły Badawcze 1 wyników po odfiltrowaniu
- Aparatura Badawcza 2 wyników po odfiltrowaniu
- Kursy Online 425 wyników po odfiltrowaniu
- Wydarzenia 27 wyników po odfiltrowaniu
- Dane Badawcze 1452 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: EMI PREDICTION
-
ESci Journal of Crop production
Czasopisma -
Journal for Manufacturing Science and Production
Czasopisma -
Advances in Production Engineering & Management
Czasopisma -
Production Engineering-Research and Development
Czasopisma -
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Czasopisma -
Food Production Processing and Nutrition
Czasopisma -
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Czasopisma -
JOURNAL OF SWINE HEALTH AND PRODUCTION
Czasopisma -
International Journal of Plant Production
Czasopisma -
Journal of Animal Health and Production
Czasopisma -
TROPICAL ANIMAL HEALTH AND PRODUCTION
Czasopisma -
Towards trustworthy multi‐modal motion prediction: Holistic evaluation and interpretability of outputs
Publikacja -
The Round Robin approach applied to nanoinformatics: consensus prediction of nanomaterials zeta potential
Publikacja -
Artificial intelligence models in prediction of response to cardiac resynchronization therapy: a systematic review
PublikacjaThe aim of the presented review is to summarize the literature data on the accuracy and clinical applicability of artificial intelligence (AI) models as a valuable alternative to the current guidelines in predicting cardiac resynchronization therapy (CRT) response and phenotyping of patients eligible for CRT implantation. This systematic review was performed...
-
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
PublikacjaThe construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole.The existing research on construction accidents heavily relies on expert evaluations,which often suffer from issues such as low efficiency, insufficient intelligence, and subjectivity.However, expert opinions provided in construction...
-
Autocovariance based weighting strategy for time series prediction with weighted LS-SVM
PublikacjaPrzedstawiono metodę konstrukcji algorytmów z funkcją jądra, a także dwa algorytmy uzyskane poprzez użycie różnych funkcji straty. Zaproponowano kowariacyjną strategię ważenia algorytmów z kwadratową funkcją straty do problemu predykcji chaotycznych przebiegów czasowych.
-
Self-Concept Clarity and Religious Orientations: Prediction of Purpose in Life and Self-Esteem
Publikacja -
Prediction of Protein Structure by Template-Based Modeling Combined with the UNRES Force Field
Publikacja -
Recent improvements in prediction of protein structure by global optimization of a potential energy function
Publikacja -
Tree-based homogeneous ensemble model with feature selection for diabetic retinopathy prediction
Publikacja -
Risk factors assessment and risk prediction models in lung cancer screening candidates
Publikacja -
Hybrid Numerical-Analytical Approach for Force Prediction in End Milling of 42CrMo4 Steel
Publikacja -
The Influence of Input Data Standardization Method on Prediction Accuracy of Artificial Neural Networks
Publikacja -
Prediction based on integration of Decisional DNA and a feature selection algorithm Relief-F
PublikacjaThe paper presents prediction model based on Decisional DNA and Set of experienced integrated with Relief_F algorithm for feature selection
-
Category-Based Workload Modeling for Hardware Load Prediction in Heterogeneous IaaS Cloud
PublikacjaThe paper presents a method of hardware load prediction using workload models based on application categories and high-level characteristics. Application of the method to the problem of optimization of virtual machine scheduling in a heterogeneous Infrastructure as a Service (IaaS) computing cloud is described.
-
Prediction of flow boiling heat transfer data for R134a, R600a and R290 in minichannels
PublikacjaIn the paper presented is the analysis of the results of calculations using a model to predict flow boiling of refrigerants such as R134a, R600a and R290. The latter two fluids were not used in development of model semiempirical correction. For that reason the model was verified with present experimental data. The experimental research was conducted for a full range of quality variation and a relatively wide range of mass velocity....
-
Empirical verification in industrial conditions of fracture mechanics models of cutting power prediction
PublikacjaA comparison of experimental results obtained in the industrial conditions at a sawmill located in the Baltic Natural Forest Region (PL) and theoretical cutting power consumption forecasted with the models which include work of separation (fracture toughness) in addition to plasticity and friction has been described. In computations of cutting power consumption during rip sawing of Scots pine wood (Pinus sylvestris L.) values of...
-
Failure mode prediction for composite structural insulated panels with MgO board facings
PublikacjaSandwich panels are readily used in civil engineering due to their high strength to weight ratio and the ease and speed of assembly. The idea of a sandwich section is to combine thin and durable facings with a light-weight core and the choice of materials used allows obtaining the desired behaviour. Panels in consideration consist of MgO (magnesium oxide) board facings and expanded polystyrene core and are characterized by immunity...
-
METHOD FOR SHIP'S ROLLING PERIOD PREDICTION WITH REGARD TO NON-LINEARITY OF GZ CURVE
PublikacjaThe paper deals with the problem of prediction of the rolling period. A special emphasis is put on the practical application of the new method for rolling period prediction with regard to non-linearity of the GZ curve. The one degree-of-freedom rolling equation is applied with using the non-linear stiffness moment and linear damping moment formulas. A number of ships are considered to research the discrepancies between the pending...
-
Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries
PublikacjaIn developed countries, the first studies on forecasting bankruptcy date to the early 20th century. In Central and Eastern Europe, due to, among other factors, the geopolitical situation and the introduced economic system, this issue became the subject of researcher interest only in the 1990s. Therefore, it is worthwhile to analyze whether these countries conduct bankruptcy risk assessments and what their level of advancement is....
-
Balanced Spider Monkey Optimization with Bi-LSTM for Sustainable Air Quality Prediction
PublikacjaA reliable air quality prediction model is required for pollution control, human health monitoring, and sustainability. The existing air quality prediction models lack efficiency due to overfitting in prediction model and local optima trap in feature selection. This study proposes the Balanced Spider Monkey Optimization (BSMO) technique for effective feature selection to overcome the local optima trap and overfitting problems....
-
Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublikacjaThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...
-
Modern Arrangement for Reduction of Voltage Perturbations
PublikacjaThe contents of this chapter encompass general problems and the most important issues of power-supply-quality improvement in AC systems. In the context of the above, consideration is given to evaluation of bilateral interactions of receivers with an electrical power-distribution system and methods of their reduction. Also are discussed the basis of operation of the most important compensation-filtration devices and their applications...
-
The reduction of vibrations in circular sawing machines
PublikacjaThe presented in this paper the main objectives of the research were to explore vibrations signals of the main spindle system, the machine tool body and a circular saw to extract informative features for assessment of the designs of the panel saw Fx3 and its follower Fx550.Even though the main spindle of the new table sliding saw Fx550 has its rotational speeds larger about 20% in comparison to the Fx3, peak values of the vibrational...
-
Digital Government and Administrative Burden Reduction
PublikacjaAdministrative burden represents the costs to businesses, citizens and the administration itself of complying with government regulations and procedures. The burden tends to increase with new forms of public governance that rely less on direct decisions and actions undertaken by traditional government bureaucracies, and more on government creating and regulating the environment for other, non-state actors to jointly address public...
-
Taylor type predictor for pressure changes
PublikacjaCelem pracy jest ocena predykcji ciśnienia za pomocą rozwinięcia funkcji w szereg Taylora. Przewidywana wartość ciśnienia jest obliczana jako iloczyn wcześniejszych wartości mnożonych przez współczynniki wagowe wyznaczone w oparciu o szereg Taylora. Zaletą takiego podejścia jest możliwość analizy danych próbkowanych nierównomiernie. Podstawową wadą jest założenie, że ciśnienie jest dobrze aproksymowane przez wielomian niskiego...
-
Modal Reduction and Analysis of Gyroscopic Systems
PublikacjaThe paper introduces the method of the modal reduction of systems that experience the Coriolis acceleration or gyroscopic effect component. In such cases corresponding system equations are non-self-adjoined. To solve the problem modal reduced model is built up for the system without Coriolis acceleration or gyroscopic effect terms. These phenomena are included by application of any lumping technique. Hence, the final reduced model...
-
Semi-Markov model of diesel engines' operating process.
PublikacjaNajistotniejszym problemem eksploatacji silników o zapłonie samoczynnym jest problem racjonalnego (a zwłaszcza optymalnego) sterowania procesem eksploatacji tych silników. Sterowanie takie może ułatwić zastosowanie iteracyjnego algorytmu wyznaczania optymalnych strategii opracowanego przez R.A. Howarda. Wykorzystanie jednak tego algorytmu do sterowania procesem eksploatacji silników wymaga między innymi opracowania modelu procesu...
-
Incremental and Semi-Incremental Construction of Pseudo-Minimal Automata
PublikacjaPrzedstawione zostają modyfikacje trzech algorytmów przyrostowego i półprzyrostowego tworzenia automatów minimalnych w taki sposób, aby tworzyły automaty pseudominimalne. Istniejący od dawna algorytm Revuza tworzy takie automaty szybciej i zużywając mniej pamięci, ale wymaga kłopotliwego sortowania. Nie nadaje się też do dodawania nowych słów do automatu - ważnej czynności w realizacji dynamicznej doskonałej funkcji mieszającej....
-
Semi-incremental addition of strings to a cyclic finite automaton
PublikacjaMaszyny o skończonej liczbie stanów są szeroko stosowane jako słowniki w przetwarzaniu języka naturalnego. Odznaczają się szybkim czasem przetwarzania i małymi wymaganiami pamięciowymi. Przedstawiamy nowy algorytm dodawania nowych słów do języka cyklicznego automatu skończonego. Algorytm jest rozszerzeniem na automaty cykliczne półprzyrostowego algorytmu Watsona dla automatów acyklicznych. Przekształcenie jest dokonane w duchu...
-
The role of EMG module in hybrid interface of prosthetic arm
PublikacjaNearly 10% of all upper limb amputations concern the whole arm. It affects the mobility and reduces the productivity of such a person. These two factors can be restored by using prosthetics. However, the complexity of human arm makes restoring its basic functions quite difficult. When the osseointegration and/or targeted muscle reinnervation (TMR) are not possible, different modalities can be used to control the prosthesis. In...
-
Entropy analysis of surface EMG for classification of face movements
Publikacja -
Relationship between semi- and fully-device-independent protocols
PublikacjaWe study the relation between semi and fully device independent protocols. As a tool, we use the correspondence between Bell inequalities and dimension witnesses. We present a method for converting the former into the latter and vice versa. This relation provides us with interesting results for both scenarios. First, we find new random number generation protocols with higher bit rates for both the semi and fully device independent...
-
Semi-adaptive feedback active control of MRI noise
PublikacjaA feedback controller is proposed for cancellation of magnetic resonance imaging (MRI) noise. The design of the controller takes into account specific features of the MRI noise signal. Simulation results show that a considerable rejection rate of the MRI noise can be obtained.
-
Semi complex navigation with an active optical gesture sensor
PublikacjaThis paper presents the methods of diversified touchless interactions between a user and a mobile platform utilizing the optical gesture sensor. The sensor uses 8 photodiodes to measure the reflected light in the active mode (using embedded LEDs) or it measures shadows caused by fingers in the passive mode. Several algorithms were implemented: automatic mode switching, adaptive illumination level compensation, resolution improvements...
-
Applications of semi-definite optimization in quantum information protocols
PublikacjaThis work is concerned with the issue of applications of the semi-definite programming (SDP) in the field of quantum information sci- ence. Our results of the analysis of certain quantum information protocols using this optimization technique are presented, and an implementation of a relevant numerical tool is introduced. The key method used is NPA discovered by Navascues et al. [Phys. Rev. Lett. 98, 010401 (2007)]. In chapter...
-
Bio-based semi-aromatic polyesters for coating applications
PublikacjaLinear and branched bio-based semi-aromatic (co)polyesters were evaluated as resins for solvent-basedand powder coatings. Dimethyl-2,5-furandicarboxylate (DMF), 2,3-butanediol and various multifunc-tional comonomers were used to synthesize amorphous hydroxyl-end-capped (co)polyesters. The resinswere cross-linked using the -caprolactam blocked trimer of isophorone diisocyanate. Both the solvent-based and powder coatings proved to...
-
In silico epitope prediction of Borrelia burgdorferi sensu lato antigens for the detection of specific antibodies
PublikacjaDespite many years of research, serodiagnosis of Lyme disease still faces many obstacles. Difficulties arise mainly due to the low degree of amino acid sequence conservation of the most immunogenic antigens among B. burgdorferi s.l. genospecies, as well as differences in protein production depending on the environment in which the spirochete is located. Mapping B-cell epitopes located on antigens allows for a better understanding...
-
Vessel Energy Requirement Prediction from Acceleration Stage Towing Tests on Scale Models
PublikacjaOne of the most crucial tasks for naval architects is computing the energy required to meet the ship’s operational needs. When predicting a ship’s energy requirements, a series of hull resistance tests on a scale model vessel is carried out in constant speed stages, while the acceleration stage measurements are ignored. Another important factor in seakeeping analysis is the ship’s hydrodynamic added mass. The second law of dynamics...
-
An Intelligent Approach to Short-Term Wind Power Prediction Using Deep Neural Networks
PublikacjaIn this paper, an intelligent approach to the Short-Term Wind Power Prediction (STWPP) problem is considered, with the use of various types of Deep Neural Networks (DNNs). The impact of the prediction time horizon length on accuracy, and the influence of temperature on prediction effectiveness have been analyzed. Three types of DNNs have been implemented and tested, including: CNN (Convolutional Neural Networks), GRU (Gated Recurrent...