Filtry
wszystkich: 974
-
Katalog
- Publikacje 777 wyników po odfiltrowaniu
- Czasopisma 4 wyników po odfiltrowaniu
- Osoby 43 wyników po odfiltrowaniu
- Projekty 3 wyników po odfiltrowaniu
- Zespoły Badawcze 1 wyników po odfiltrowaniu
- Aparatura Badawcza 4 wyników po odfiltrowaniu
- Kursy Online 15 wyników po odfiltrowaniu
- Wydarzenia 2 wyników po odfiltrowaniu
- Dane Badawcze 125 wyników po odfiltrowaniu
Wyniki wyszukiwania dla: KNN CLASSIFIER
-
Diagnostyka analogowych filtrów wielosekcyjnych oparta na klasyfikato-rach neuronowych z dwucentrowymi funkcjami bazowymi
PublikacjaPrzedmiotem artykułu jest zastosowanie klasyfikatora z dwucentrowymi funkcjami bazowymi do lokalizacji uszkodzeń w wielosekcyjnych torach analogowych elektronicznych systemów wbudowanych sterowanych mikrokontrolerem. Przedstawiono szczegóły procedury pomiarowej oraz metody detekcji i lokalizacji uszkodzeń toru analogowego z wykorzysta-niem klasyfikatora DB zaimplementowanego w postaci algorytmicznej w kodzie programu mikrokontrolera....
-
Evaluation of aspiration problems in L2 English pronunciation employing machine learning
PublikacjaThe approach proposed in this study includes methods specifically dedicated to the detection of allophonic variation in English. This study aims to find an efficient method for automatic evaluation of aspiration in the case of Polish second-language (L2) English speakers’ pronunciation when whole words are analyzed instead of particular allophones extracted from words. Sample words including aspirated and unaspirated allophones...
-
Music Genre Recognition in the Rough Set-Based Environment
PublikacjaThe aim of this paper is to investigate music genre recognition in the rough set-based environment. Experiments involve a parameterized music data-base containing 1100 music excerpts. The database is divided into 11 classes cor-responding to music genres. Tests are conducted using the Rough Set Exploration System (RSES), a toolset for analyzing data with the use of methods based on the rough set theory. Classification effectiveness...
-
Computer Networks EN 2022
Kursy OnlineThe student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.
-
Computer Networks EN 2023
Kursy OnlineThe student becomes familiar with the network layered logical architectures, classifies the basic problems of network communication and identifies and analyzes selected protocols and mechanisms of LAN and WAN (IP) networks.
-
Viral agents as the cause of diseases classified to other chapters - Female, 29 - Tissue image [9220729551203171]
Dane BadawczeThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Viral agents as the cause of diseases classified to other chapters - Female, 29 - Tissue image [9220729551203921]
Dane BadawczeThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Foreign body granuloma of soft tissue, not elsewhere classified - Male, 55 - Tissue image [6130730026849561]
Dane BadawczeThis is the histopathological image of OTHER AND UNSPECIFIED PARTS OF MOUTH tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Vulvovaginal ulceration and inflammation in other diseases classified elsewhere - Female, 28 - Cell image [4110730008007941]
Dane BadawczeThis is the histopathological image of CERVIX UTERI cell sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Vulvovaginal ulceration and inflammation in other diseases classified elsewhere - Female, 42 - Cell image [6280730027966421]
Dane BadawczeThis is the histopathological image of CERVIX UTERI cell sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Viral agents as the cause of diseases classified to other chapters - Female, 29 - Tissue image [9220729551207901]
Dane BadawczeThis is the histopathological image of CERVIX UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Jolanta Kowal dr hab.
OsobyJolanta Kowal has a Post-doctoral Degree in Social Sciences (dr hab., DSc) in the field of economics and finance, an assistant professor, researcher, and lecturer in the Institute of Psychology of Wroclaw University, and a professor of the Gdańsk University of Technology, Poland, a Jungian analyst. Jolanta from 2014 held functions in the Board of the Polish Chapter of the Association for Information Systems (PLAIS) (President 2015-2018,...
-
Ranking Speech Features for Their Usage in Singing Emotion Classification
PublikacjaThis paper aims to retrieve speech descriptors that may be useful for the classification of emotions in singing. For this purpose, Mel Frequency Cepstral Coefficients (MFCC) and selected Low-Level MPEG 7 descriptors were calculated based on the RAVDESS dataset. The database contains recordings of emotional speech and singing of professional actors presenting six different emotions. Employing the algorithm of Feature Selection based...
-
Neural networks and deep learning
PublikacjaIn this chapter we will provide the general and fundamental background related to Neural Networks and Deep Learning techniques. Specifically, we divide the fundamentals of deep learning in three parts, the first one introduces Deep Feed Forward Networks and the main training algorithms in the context of optimization. The second part covers Convolutional Neural Networks (CNN) and discusses their main advantages and shortcomings...
-
Dipole-bound anions supported by charge-transfer interaction: Anionic states of HnF3?nN ? BH3 and H3N ? BHnF3?n (n = 0, 1, 2, 3)
Publikacja -
A Data Driven Model for Predicting RNA-Protein Interactions based on Gradient Boosting Machine
PublikacjaRNA protein interactions (RPI) play a pivotal role in the regulation of various biological processes. Experimental validation of RPI has been time-consuming, paving the way for computational prediction methods. The major limiting factor of these methods has been the accuracy and confidence of the predictions, and our in-house experiments show that they fail to accurately predict RPI involving short RNA sequences such as TERRA RNA....
-
Sampling-based novel heterogeneous multi-layer stacking ensemble method for telecom customer churn prediction
PublikacjaIn recent times, customer churn has become one of the most significant issues in business-oriented sectors with telecommunication being no exception. Maintaining current customers is particularly valuable due to the high degree of rivalry among telecommunication companies and the costs of acquiring new ones. The early prediction of churned customers may help telecommunication companies to identify the causes of churn and design...
-
New Two-center Ellipsoidal Basis Function Neural Network for Fault Diagnosis of Analog Electronic Circuits
PublikacjaIn the paper a new fault diagnosis-oriented neural network and a diagnostic method for localization of parametric faults in Analog Electronic Circuits (AECs) with tolerances is presented. The method belongs to the class of dictionary Simulation Before Test (SBT) methods. It utilizes dictionary fault signatures as a family of identification curves dispersed around nominal positions by component tolerances of the Circuit Under Test...
-
Selected Technical Issues of Deep Neural Networks for Image Classification Purposes
PublikacjaIn recent years, deep learning and especially Deep Neural Networks (DNN) have obtained amazing performance on a variety of problems, in particular in classification or pattern recognition. Among many kinds of DNNs, the Convolutional Neural Networks (CNN) are most commonly used. However, due to their complexity, there are many problems related but not limited to optimizing network parameters, avoiding overfitting and ensuring good...
-
Renal tubulo-interstitial disorders in other diseases classified elsewhere - Male, 67 - Tissue image [1206063001762681]
Dane BadawczeThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Renal tubulo-interstitial disorders in other diseases classified elsewhere - Male, 67 - Tissue image [12060630017628641]
Dane BadawczeThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Vaginitis, vulvitis and vulvovaginitis in infectious and parasitic diseases classified elsewhere - Female, 64 - Cell image [4110730007991341]
Dane BadawczeThis is the histopathological image of CERVIX UTERI cell sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.
-
Mine counter vehicles for Baltic navy. W: [CD-ROM] Conference proceedings. UDT EUROPE 2002. Undersea Defence Technology Conference and Exhibition. La Spezia, Italy, 18-20 June 2002. Classified Conference, La Spezia, Italy, 21 June 2002 [B.m.w.]**2002 [6 s. 3 rys.]. Pojazdy przeciwminowe dla marynarki dzialającej na Bałtyku.
PublikacjaW opracowaniu omówiono przeciwminowe systemy opracowane przez PolitechnikęGdańską dla potrzeb Marynarki Wojennej RP. Przedstawiono podstawowe wymaga-nia rozwiązań konstrukcyjnych i zasady użycia.
-
Pose classification in the gesture recognition using the linear optical sensor
PublikacjaGesture sensors for mobile devices, which have a capability of distinguishing hand poses, require efficient and accurate classifiers in order to recognize gestures based on the sequences of primitives. Two methods of poses recognition for the optical linear sensor were proposed and validated. The Gaussian distribution fitting and Artificial Neural Network based methods represent two kinds of classification approaches. Three types...
-
Modelowanie elektrowni wiatrowych. Elektrownie i sieci- zagadnienia wybrane: generacja rozproszona i odnawialne źródła energii,urządzenia i sieci nN - SN, problemy wybrane.
PublikacjaPrzedstawiono typy komercyjnych elektrowni wiatrowych oraz sposoby ich modelowania pod kątem analizy ich pracy w systemie elektroenergetycznym. Zaprezentowano model matematyczny elektrowni wiatrowej. przedstawiono wyniki symulacji stanów pracy wybranego typu elektrowni wiatrowej.
-
Detection of anomalies in bee colony using transitioning state and contrastive autoencoders
PublikacjaHoneybees plays vital role for the environmental sustainability and overall agricultural economy. Assisting bee colonies within their proper functioning brings the attention of researchers around the world. Electronics systems and machine learning algorithms are being developed for classifying specific undesirable bee behaviors in order to alert about upcoming substantial losses. However, classifiers could be impaired when used...
-
Verification of the Parameterization Methods in the Context of Automatic Recognition of Sounds Related to Danger
PublikacjaW artykule opisano aplikację, która automatycznie wykrywa zdarzenia dźwiękowe takie jak: rozbita szyba, wystrzał, wybuch i krzyk. Opisany system składa się z bloku parametryzacji i klasyfikatora. W artykule dokonano porównania parametrów dedykowanych dla tego zastosowania oraz standardowych deskryptorów MPEG-7. Porównano też dwa klasyfikatory: Jeden oparty o Percetron (sieci neuronowe) i drugi oparty o Maszynę wektorów wspierających....
-
Paweł Wierzba dr hab. inż.
OsobyDr inż. Paweł Wierzba mgr inż. Elektroniki WETI PG 1994 dr inż. specjalności optoelektronika (z wyróżnieniem) WETI PG 2001 Staże badawcze w VTT Technical Research Centre of Finland w latach 1997-2000 Stypendium Akademii Fińskiej w VTT Technical Research Centre of Finland (12 miesięcy) 2002-3 Obszar zainteresowań naukowych obejmuje optyczne i światłowodowe metody pomiarowe oraz technologię wybranych ceramik i materiałów...
-
Agnieszka Maczyszyn dr inż.
Osoby -
Seminaria KNE
Kursy Online -
Janusz Datta prof. dr hab. inż.
OsobyJanusz Datta w roku 1988 ukończył studia na Wydziale Chemicznym Politechniki Gdańskiej. Po ich zakończeniu został zatrudniony na Wydziale Chemicznym w Zakładzie, a potem po reorganizacji, w Katedrze Technologii Polimerów, gdzie przez sześć lat pracował na stanowisku naukowo-technicznym. W tym okresie zdobywał doświadczenie uczestnicząc w licznych wyjazdach do Zakładów Chemicznych „Zachem” Bydgoszcz, gdzie brał udział w pracach...
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007859341]
Dane BadawczeThis is the histopathological image of SMALL INTESTINE tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007855321]
Dane BadawczeThis is the histopathological image of STOMACH tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007857351]
Dane BadawczeThis is the histopathological image of HEART, MEDIASTINUM, AND PLEURA tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007851791]
Dane BadawczeThis is the histopathological image of BRONCHUS AND LUNG tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007856731]
Dane BadawczeThis is the histopathological image of BRONCHUS AND LUNG tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007859871]
Dane BadawczeThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007851041]
Dane BadawczeThis is the histopathological image of THYMUS tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007852681]
Dane BadawczeThis is the histopathological image of HEMATOPOIETIC AND RETICULOENDOTHELIAL SYSTEMS tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007852471]
Dane BadawczeThis is the histopathological image of ADRENAL GLAND tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [623073000785881]
Dane BadawczeThis is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007859901]
Dane BadawczeThis is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007852731]
Dane BadawczeThis is the histopathological image of BRONCHUS AND LUNG tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007854311]
Dane BadawczeThis is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007854321]
Dane BadawczeThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007856961]
Dane BadawczeThis is the histopathological image of KIDNEY tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007853251]
Dane BadawczeThis is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007858461]
Dane BadawczeThis is the histopathological image of BRAIN tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Disorders related to short gestation and low birth weight, not elsewhere classified - Male, 0 - Tissue image [6230730007853541]
Dane BadawczeThis is the histopathological image of HEART, MEDIASTINUM, AND PLEURA tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: VS200 Olympus slide scanner (20x magnification) and saved to DICOM format.
-
Other specified bacterial agents as the cause of diseases classified to other chapters - Female, 55 - Tissue image [5050730010502011]
Dane BadawczeThis is the histopathological image of STOMACH tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.