Filtry
wszystkich: 7516
-
Katalog
- Publikacje 4520 wyników po odfiltrowaniu
- Czasopisma 91 wyników po odfiltrowaniu
- Konferencje 80 wyników po odfiltrowaniu
- Osoby 108 wyników po odfiltrowaniu
- Wynalazki 1 wyników po odfiltrowaniu
- Projekty 6 wyników po odfiltrowaniu
- Laboratoria 1 wyników po odfiltrowaniu
- Kursy Online 130 wyników po odfiltrowaniu
- Wydarzenia 21 wyników po odfiltrowaniu
- Dane Badawcze 2558 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: DATA-DRIVEN SURROGATES
-
Fuel cell noise data
Dane BadawczeMeasurement data of Hydrogen PEM fuel cels. The voltage fluctuations were measured over single cels of stack of 10 cels.
-
Olsztyn 2019- video traffic data
Dane BadawczeOlsztyn 2019- video data
-
Pruszcz Gdański 2019- video data
Dane BadawczePruszcz Gdański 2019- video data
-
Multiple output differential OTA with linearizing bulk-driven active-error feedback loop for continuous-time filter applications
PublikacjaA CMOS circuit realization of a highly linear multiple-output differential operational transconductance amplifier (OTA) has been proposed. The presented approach exploits a differential pair as an input stage with both the gate and the bulk terminals as signal ports. For the proposed OTA, improved linearity is obtained by means of the active-error feedback loop operating at the bulk terminals of the input stage. SPICE simulations...
-
New model simulations of the global atmospheric electric circuit driven by thunderstorms and electrified shower clouds: The roles of lightning and sprites
Publikacja -
Specificity of automatic control of micro-turbines (steam or gas -driven and expanders) in dispersed generation system of heat and electric power
PublikacjaThis paper presents specific problems of automatic control of steam micro-turbines and expanders intended for the dispersed, combined generating of heat and electric power. The investigations concern ensurance of certainty of energy supply and its required quality.
-
Failure analysis of a high-speed induction machine driven by a SiC-inverter and operating on a common shaft with a high-speed generator
PublikacjaDue to ongoing research work, a prototype test rig for testing high-speed motors/generators has been developed. Its design is quite unique as the two high- speed machines share a single shaft with no support bearings between them. A very high maximum operating speed, up to 80,000 rpm, was required. Because of the need to minimise vibration during operation at very high rotational speeds, rolling bearings were used. To eliminate...
-
TRANSPORT POSSIBILITY FOR MPEG-4/AVC- AND MPEG-2-ENCODED VIDEO DATA IN IPTV: A COMPARISON STUDY
PublikacjaIPTV (Television over IP) is a modern service with a great potential to expand. It uses the IP transport platform, that is already in worldwide operation. At the time of writing, two techniques are used to transport the video and audio data of IPTV: MPEG-2 TS and Native RTP. The two techniques quite definitely have an influence on both quality of service (QoS) and quality of experience (QoE). This paper sets out to demonstrate...
-
ACM Transactions on Knowledge Discovery from Data
Czasopisma -
International Journal of Business Data Communications and Networking
Czasopisma -
International Journal of Multimedia Data Engineering & Management
Czasopisma -
International Journal of Spatial Data Infrastructures Research
Czasopisma -
International Journal of Data Mining Modelling and Management
Czasopisma -
Journal of Direct, Data and Digital Marketing Practice
Czasopisma -
International Journal of Business Intelligence and Data Mining
Czasopisma -
International Journal of Data Analysis Techniques and Strategies
Czasopisma -
International Journal of Information Management Data Insights
Czasopisma -
Sampling Theory, Signal Processing, and Data Analysis
Czasopisma -
Research Data Journal for the Humanities and Social Sciences
Czasopisma -
Correlation between in vitro and in vivo data on food digestion. What can we predict with static in vitro digestion models?
PublikacjaDuring the last decade, there has been a growing interest in understanding food's digestive fate in order to strengthen the possible effects of food on human health. Ideally, food digestion should be studied in vivo on humans but this is not always ethically and financially possible. Therefore, simple in vitro digestion models mimicking the gastrointestinal tract have been proposed as alternatives to in vivo experiments. Thus,...
-
Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublikacjaControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
-
Gdańsk Abrahama 2017 - video data
Dane BadawczeGdańsk Abrahama 2017 - video data
-
Statistical Data Pre-Processing and Time Series Incorporation for High-Efficacy Calibration of Low-Cost NO2 Sensor Using Machine Learning
PublikacjaAir pollution stands as a significant modern-day challenge impacting life quality, the environment, and the economy. It comprises various pollutants like gases, particulate matter, biological molecules, and more, stemming from sources such as vehicle emissions, industrial operations, agriculture, and natural events. Nitrogen dioxide (NO2), among these harmful gases, is notably prevalent in densely populated urban regions. Given...
-
NUMERICAL MODEL QUALITY ASSESSMENT OF OFFSHORE WIND TURBINE SUPPORTING STRUCTURE BASED ON EXPERIMENTAL DATA
PublikacjaAs a structure degrades some changes in its dynamical behavior can be observed, and inversely, observation and evaluation of these dynamical changes of the structure can provide information of structural state of the object. Testing of the real structure, besides of being costly, can cover only limited working states. It is particularly considerable in case of hardly accessible, and randomly/severely dynamically loaded offshore...
-
Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging
PublikacjaIn the paper we investigate the performance of parallel deep neural network training with parameter averaging for acoustic modeling in Kaldi, a popular automatic speech recognition toolkit. We describe experiments based on training a recurrent neural network with 4 layers of 800 LSTM hidden states on a 100-hour corpora of annotated Polish speech data. We propose a MPI-based modification of the training program which minimizes the...
-
Data on solutions of Hes1 system
Dane BadawczeHes1 protein (hairy and enhancer of split 1) belongs to the helix-loop-helix (bHLH) family of transcription proteins, i.e. DNA-binding proteins in the promoter region or in another region where regulation of transcription processes occurs. The database collects data on solutions of the Hes1 systems with multiple binding sites and the dimer formation...
-
Video data recorded on S7 road
Dane BadawczeThe set consists of video data recorded employing camera LevelOne FCS-5102. The purpose of the experiment was to gather vehicle traffic recordings in real conditions – on the S7 motorway, near Dworek village (54°14'40.0"N 18°59'59.0"E).
-
Method for determining of shallow water depths based on data recorded by UAV/USV vehicles and processed using the SVR algorithm
PublikacjaBathymetric measurements in waters shallower than 1 m are necessary to monitor seafloor relief changes in the coastal zone. This is especially important for ensuring the safety of navigation, navigation efficiency, as well as during the design and monitoring of hydrotechnical structures. Therefore, the aim of this article is to present a method for determining of shallow water depths based on data recorded by Unmanned Aerial Vehicle...
-
Straszyn 2018 - video data
Dane BadawczeStraszyn 2018 - video data
-
Identification of the Vistula Mounting tower model using measured modal data
PublikacjaW pracy przedstawiono problem identyfikacji pięcioparametrowego modelu zabytkowej wieży twierdzy Wisłoujście. Poszukiwane parametry wyznaczono jako rozwiązanie problemu minimalizacji błędu średniokwadratowego pomierzonych dwóch pierwszych częstości i pierwszej postaci drgań własnych. Do tego celu wykorzystano hierarchiczną procedurę minimalizacji przy zastosowaniu analizy wrażliwości. Analiza numeryczna potwierdziła efektywność...
-
Workstation for training asw helicopter navigators and analysis real flight data
PublikacjaW artykule opisane zostało stanowisko szkoleniowo-diagnostyczne i analizy danych skonstruowane z przeznaczeniem dla nawigatorów śmigłowców ASW eksploatowanych w polskiej Marynarce Wojennej i zainstalowane w bazie śmigłowców. Umożliwia ono prowadzanie szkoleń i treningów w zakresie eksploatacji oraz wykonywanie analiz informacji zebranych przez nawigatorów podczas lotów z pokładowego sonaru ASW, odbiornika sygnałów z sonoboi i...
-
CMS data processing workflows during an extended cosmic ray run
Publikacja -
<title>Data acquisition module implemented on PCI mezzanine card</title>
Publikacja -
Selection of SOM parameters for the needs of clusterization of data obtained by interferometric methods
Publikacja -
A probabilistic model of ship performance in ice based on full-scale data
Publikacja -
Processing of acoustical data in a multimodal bank operating room surveillance system
PublikacjaAn automatic surveillance system capable of detecting, classifying and localizing acoustic events in a bank operating room is presented. Algorithms for detection and classification of abnormal acoustic events, such as screams or gunshots are introduced. Two types of detectors are employed to detect impulsive sounds and vocal activity. A Support Vector Machine (SVM) classifier is used to discern between the different classes of...
-
Disk space allocation schemes for real-time data gathering applications
Publikacja -
Low-Level Aerial Photogrammetry as a Source of Supplementary Data for ALS Measurements
Publikacja -
A Comparison Study of Strategies for Combining Classifiers from Distributed Data Sources
Publikacja -
Stacking and rotation-based technique for machine learning classification with data reduction
Publikacja -
Daily Radiation Budget of the Baltic Sea Surface from Satellite Data
Publikacja -
Use of Satellite Data in Monitoring of Hydrophysical Parameters of the Baltic Sea Environment
Publikacja -
Comparison of Selected Reduction Methods of Bathymetric Data Obtained by Multibeam Echosounder
Publikacja -
Deep Data Analysis of a Large Microarray Collection for Leukemia Biomarker Identification
Publikacja -
Optimization of river network representation data models for web-based systems
Publikacja -
Missing Verification of Source Data in Hypertension Research: The HYGIA PROJECT in Perspective
Publikacja -
New data on antihypertensive drugs and risk of cancer: should we worry?
Publikacja -
Sympathetic nervous system and arterial hypertension: new perspectives, new data
Publikacja -
Machine-to-Machine communication and data processing approach in Future Internet applications
Publikacja -
An Approach to Imbalanced Data Classification Based on Instance Selection and Over-Sampling
Publikacja