Wyniki wyszukiwania dla: DEEP-LEVEL MINING

• Charge-based deep level transient spectroscopy of B-doped and undoped polycrystalline diamond films

  Publikacja

  • K. Paprocki
  • K. Fabisiak
  • R. Bogdanowicz
  • Ł. Gołuński
  • E. Staryga
  • M. Szybowicz
  • M. Kowalska
  • A. Banaszak-Piechowska

  - JOURNAL OF MATERIALS SCIENCE - Rok 2017

  The undoped and B-doped polycrystalline diamond thin film was synthesized by hot filament chemical vapor deposition and microwave plasma, respectively. The structural characterization was performed by scanning electron microscopy, X-ray diffraction and Raman spectroscopy. The electrical properties of synthesized diamond layer were characterized by dc-conductivity method and charge deep level transient spectroscopy. The B-doped...

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• Association of LBX1 Gene Methylation Level with Disease Severity in Patients with Idiopathic Scoliosis: Study on Deep Paravertebral Muscles

  Publikacja

  • P. Janusz
  • M. Tokłowicz
  • M. Andrusiewicz
  • M. Kotwicka
  • T. Kotwicki

  - Genes - Rok 2022

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• Paweł Rościszewski dr inż.

  Osoby

  Paweł Rościszewski received his PhD in Computer Science at Gdańsk University of Technology in 2018 based on PhD thesis entitled: "Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption". Currently, he is an Assistant Professor at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland....

• Text Mining Algorithms for Extracting Brand Knowledge; The fashion Industry Case

  Publikacja

  • N. Rizun
  • W. Kucharska

  - Rok 2018

  Brand knowledge is determined by customer knowledge. The opportunity to develop brands based on customer knowledge management has never been greater. Social media as a set of leading communication platforms enable peer to peer interplays between customers and brands. A large stream of such interactions is a great source of information which, when thoroughly analyzed, can become a source of innovation and lead to competitive advantage....

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• Karolina Sobieraj mgr inż.

  Osoby

  Mgr inż. Karolina Sobieraj w 2018 r. ukończyła dwustopniowe studia na kierunku Odnawialne Źródła Energii i Gospodarka Odpadami w specjalności Gospodarka Odpadami, z wyróżnieniem w postaci stypendium Ministra Nauki i Szkolnictwa Wyższego dla studentów za wybitne osiągnięcia naukowe w roku akademickim 2017/2018. Od października 2019 r. podjęła studia w Szkole Doktorskiej UPWr w dyscyplinie inżynieria środowiska, górnictwo i energetyka....

• Experimental and Theoretical Insights into the Intermolecular Interactions in Saturated Systems of Dapsone in Conventional and Deep Eutectic Solvents

  Publikacja

  • P. Cysewski
  • T. Jeliński
  • M. Przybyłek

  - MOLECULES - Rok 2024

  Solubility is not only a crucial physicochemical property for laboratory practice but also provides valuable insight into the mechanism of saturated system organization, as a measure of the interplay between various intermolecular interactions. The importance of these data cannot be overstated, particularly when dealing with active pharmaceutical ingredients (APIs), such as dapsone. It is a commonly used anti-inflammatory and...

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• Review of the Complexity of Managing Big Data of the Internet of Things

  Publikacja

  • D. Gil
  • M. Johnsson
  • H. Mora
  • J. Szymański

  - COMPLEXITY - Rok 2019

  Tere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...

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• Decision making process using deep learning

  Publikacja

  • O. Aydin

  - Rok 2019

  Endüstri 4.0, dördüncü endüstri devrimi veya Endüstriyel Nesnelerin İnterneti (IIoT) olarak adlandırılan sanayi akımı, işletmelere, daha verimli, daha büyük bir esneklikle, daha güvenli ve daha çevre dostu bir şekilde üretim yapma imkanı sunmaktadır. Nesnelerin İnterneti ile bağlantılı yeni teknoloji ve hizmetler birçok endüstriyel uygulamada devrim niteliği taşımaktadır. Fabrikalardaki otomasyon, tahminleyici bakım (PdM – Predictive...

• Laboratory test rig for examining aggregate mining from seabed using the AIRLIFT method

  Publikacja

  • C. Dymarski
  • T. Pająk

  - Polish Maritime Research - Rok 2018

  The use of the Airlift method for transporting the mined aggregate from the seabed to the deck of the mining ship is an alternative for presently used solutions, such as suction pumps or scoop transport for instance. Building the laboratory test rig was preceded by tests in natural conditions. The rig was designed in such a way as to model these conditions as close as possible, and to have potential for further development

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• Text-mining Similarity Approximation Operators for Opinion Mining in BI tools

  Publikacja

  • N. Rizun
  • P. Kapłański
  • Y. Taranenko
  • S. Alessandro

  - Rok 2016

  The concept of the Text-mining Similarity Approximation Operators for Opinion Mining as extensions to Natural Language Interface Database is defined. The new operators: “keywords of” dimension; subsetting operator “about C is q”; aggregation operator “by similar C” are proposed. These operators are based on the Latent Semantic Analysis and Social Network Analysis

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