Search results for: salt leaching

• Searching for innovation knowledge: insight into KIBS companies

  Publication

  • M. Zięba
  • E. Bolisani
  • M. Paiola
  • E. Scarso

  - Knowledge Management Research & Practice - Year 2017

  The paper analyses the activity of research for “innovation knowledge”—here defined as knowledge that can lead to the introduction of service innovations—by Knowledge-Intensive Business Services (KIBS) companies. It proposes a classification of the possible search approaches adopted by those companies based on two dimensions: the pro-activity of search efforts and the source primarily used. Such classification is then discussed...

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• Searching for smart solutions:Comparative study of Gdansk and Glasgow

  Publication

  • J. Bach-Głowińska

  - Year 2015

  This chapter is the executive summary of undertaken comparative study between Gdansk and Glasgow.

• Machine Learning Techniques in Concrete Mix Design

  Publication

  • P. Ziółkowski
  • M. Niedostatkiewicz

  - Materials - Year 2019

  Concrete mix design is a complex and multistage process in which we try to find the best composition of ingredients to create good performing concrete. In contemporary literature, as well as in state-of-the-art corporate practice, there are some methods of concrete mix design, from which the most popular are methods derived from The Three Equation Method. One of the most important features of concrete is compressive strength, which...

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• Application of genetic algorithms in graph searching problem

  Publication

  • Ł. Wrona
  • B. Jaworski

  - Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne - Year 2010

  Graph searching is a common approach to solving a problem of capturing a hostile intruder by a group of mobile agents. We assume that this task is performed in environment which we are able to model as a graph G. The question asked is how many agents are needed to capture an arbitrary fast, invisible and smart intruder. This number is called the (edge) search number of G. The strategy which must be performed by agents is called...

• Blended-learning w nauczaniu przedmiotów nieinformatycznych

  Publication

  • J. Buriak

  - Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej - Year 2014

  Blended-learning jest coraz powszechniej wykorzystywany w nauczaniu przedmiotów informatycznych lub innych przedmiotów, w których ćwiczenia realizowane są w laboratoriach komputerowych. W przypadku przedmiotów bez dostępu do sal komputerowych, blended-learning wspomaga prowadzenie wykładów i ćwiczeń poprzez np. lekcje interaktywne. Artykuł opisuje zastosowanie form blended-learning w realizacji laboratoriów z przedmiotu Bezpieczeństwo...

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• A Mammography Data Management Application for Federated Learning

  Publication

  • D. Tkachenko
  • M. Mazur-Milecka

  - Year 2024

  This study aimed to develop and assess an application designed to enhance the management of a local client database consisting of mammographic images with a focus on ensuring that images are suitably and uniformly prepared for federated learning applications. The application supports a comprehensive approach, starting with a versatile image-loading function that supports DICOM files from various medical imaging devices and settings....

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• English Language Learning Employing Developments in Multimedia IS

  Publication

  • P. Odya
  • A. Kurowski
  • A. Czyżewski

  - Year 2024

  In the realm of the development of information systems related to education, integrating multimedia technologies offers novel ways to enhance foreign language learning. This study investigates audio-video processing methods that leverage real-time speech rate adjustment and dynamic captioning to support English language acquisition. Through a mixed-methods analysis involving participants from a language school, we explore the impact...

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• Evaluation of ChatGPT Applicability to Learning Quantum Physics

  Publication

  • A. Stefańska
  • T. Stefański
  • M. Czubenko

  - Year 2023

  ChatGPT is an application that uses a large language model. Its purpose is to generate answers to various questions as well as provide information, help solve problems and participate in conversations on a wide range of topics. This application is also widely used by students for the purposes of learning or cheating (e.g., writing essays or programming codes). Therefore, in this contribution, we evaluate the ability of ChatGPT...

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• Affective Learning Manifesto – 10 Years Later

  Publication

  • A. Landowska

  - Year 2014

  In 2004 a group of affective computing researchers proclaimed a manifesto of affective learning that outlined the prospects and white spots of research at that time. Ten years passed by and affective computing developed many methods and tools for tracking human emotional states as well as models for affective systems construction. There are multiple examples of affective methods applications in Intelligent Tutoring Systems (ITS)....

• Learning design of a blended course in technical writing

  Publication

  • I. Mokwa-Tarnowska

  - Beyond Philology: An International Journal of Linguistics, Literary Studies and English Language Teaching - Year 2013

  Blending face-to-face classes with e-learning components can lead to a very successful outcome if the blend of approaches, methods, content, space, time, media and activities is carefully structured and approached from both the student’s and the tutor’s perspective. In order to blend synchronous and asynchronous e-learning activities with traditional ones, educators should make them inter-dependent and develop them according to...

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• Concrete mix design using machine learning

  Publication

  • P. Ziółkowski
  • M. Niedostatkiewicz

  - Year 2019

  Designing a concrete mix is a process of synthesizing many components, it is not a simple process and requires extensive technical knowledge. The design process itself focuses on obtaining the required strength of concrete. Very often designing a concrete mix takes into account the need to maintain the proper water-demand and frost-resistance features. The parameters that influence the concrete class most significantly are the...

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• Multi-agent graph searching and exploration algorithms

  Publication

  • D. Osula

  - Year 2020

  A team of mobile entities, which we refer to as agents or searchers interchangeably, starting from homebases needs to complete a given task in a graph.The goal is to build a strategy, which allows agents to accomplish their task. We analyze strategies for their effectiveness (e.g., the number of used agents, the total number of performed moves by the agents or the completion time).Currently, the fields of on-line (i.e., agents...

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• Machine Learning and Electronic Noses for Medical Diagnostics

  Publication

  • W. Wojnowski
  • K. Kalinowska

  - Year 2021

  The need for noninvasive, easy-to-use, and inexpensive methods for point-of-care diagnostics of a variety of ailments motivates researchers to develop methods for analyzing complex biological samples, in particular human breath, that could aid in screening and early diagnosis. There are hopes that electronic noses, that is, devices based on arrays of semiselective or nonselective chemical sensors, can fill this niche. Electronic...

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• Enterprise Gamification - Learning as a Side Effect of Competition

  Publication

  • C. Graul
  • J. Wachowicz
  • R. Bielski
  • K. Kufel
  • M. Żółtowski

  - Year 2017

  Gmification in companies can be used for driving desired employees behaviour that are advantageous to their development and performance improvement. This paper presents tools acquired from online social networking services and game mechanisms to encourage managers to compete by providing extended statistics and user profiles features in e-learning system.

• Deep learning for recommending subscription-limited documents

  Publication

  • G. Chłodziński
  • K. Woźniak

  - Year 2020

  Documents recommendation for a commercial, subscription-based online platform is important due to the difficulty in navigation through a large volume and diversity of content available to clients. However, this is also a challenging task due to the number of new documents added every day and decreasing relevance of older contents. To solve this problem, we propose deep neural network architecture that combines autoencoder with...

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• Introduction to the special issue on machine learning in acoustics

  Publication

  • Z. Michalopoulou
  • P. Gerstoft
  • B. Kostek
  • M. A. Roch

  - Journal of the Acoustical Society of America - Year 2021

  When we started our Call for Papers for a Special Issue on “Machine Learning in Acoustics” in the Journal of the Acoustical Society of America, our ambition was to invite papers in which machine learning was applied to all acoustics areas. They were listed, but not limited to, as follows: • Music and synthesis analysis • Music sentiment analysis • Music perception • Intelligent music recognition • Musical source separation • Singing...

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• COLLABORATIVE LEARNING ENVIRONMENT FOR ENGINEERING EDUCATION (COLED)

  Publication

  • A. Grabowska
  • A. Czaja
  • E. Kozłowska
  • J. Zieliński

  - Year 2020

  Collaborative Learning Environment for Engineering Education is a European project implemented under the Erasmus + program, The main goal of 5 partners from 4 different European countries – Bulgaria, Poland, Portugal and Romania is to develop an innovative collaborative training approach, encompassing curricula related to the introduction of enterprise automation. Project activities are carried out in the period from Dctober 2018...

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• Decision making process using deep learning

  Publication

  • O. Aydin

  - Year 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...

• Noisy (Binary) Searching: Simple, Fast and Correct

  Publication

  • D. Dereniowski
  • A. Łukasiewicz
  • P. Uznański

  - Year 2025

  This work considers the problem of the noisy binary search in a sorted array. The noise is modeled by a parameter p that dictates that a comparison can be incorrect with probability p, independently of other queries. We state two types of upper bounds on the number of queries: the worst-case and expected query complexity scenarios. The bounds improve the ones known to date, i.e., our algorithms require fewer queries. Additionally,...

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• Learning Communities-International Journal of Learning in Social Contexts

  Journals

  ISSN: 1329-1440

• Aktywny wykład i small teaching – szkolenie certyfikowane

  Events

  14-02-2024 09:00 - 14-02-2024 12:00

  Szkolenie trwa 4 godziny dydaktyczne i odbywa się w sali szkoleniowej 205 w gmachu głównym.

• Mathematical Thinking and Learning

  Journals

  ISSN: 1098-6065 , eISSN: 1532-7833

• Animal Learning and Behavior

  Journals

  ISSN: 0090-4996

• Learning Environments Research

  Journals

  ISSN: 1387-1579 , eISSN: 1573-1855

• Development and Learning in Organizations

  Journals

  ISSN: 1477-7282

• Journal of Workplace Learning

  Journals

  ISSN: 1366-5626 , eISSN: 1758-7859

• Information and Learning Science

  Journals

  ISSN: 2398-5348

• Learning Media and Technology

  Journals

  ISSN: 1743-9884 , eISSN: 1743-9892

• Journal of Learning Styles

  Journals

  ISSN: 2332-8533

• Journal of Learning Design

  Journals

  ISSN: 1832-8342

• Journal of Peer Learning

  Journals

  ISSN: 2200-2359

• International Journal of Learning

  Journals

  ISSN: 1447-9494

• Sports Coaching Review

  Journals

  ISSN: 2164-0629 , eISSN: 2164-0637

• Technology Knowledge and Learning

  Journals

  ISSN: 2211-1662 , eISSN: 2211-1670

• Online Learning Journal

  Journals

  ISSN: 2472-5730

• Interactive Learning Environments

  Journals

  ISSN: 1049-4820 , eISSN: 1744-5191

• Research in Learning Technology

  Journals

  ISSN: 2156-7069 , eISSN: 2156-7077

• Language Learning and Development

  Journals

  ISSN: 1547-5441 , eISSN: 1547-3341

• Learning Health Systems

  Journals

  ISSN: 2379-6146

• npj Science of Learning

  Journals

  eISSN: 2056-7936

• Journal of the Learning Sciences

  Journals

  ISSN: 1050-8406 , eISSN: 1532-7809

• Journal of Learning Analytics

  Journals

  eISSN: 1929-7750

• Smart Learning Environments

  Journals

  eISSN: 2196-7091

• Frontline Learning Research

  Journals

  eISSN: 2295-3159

• Psychology of Learning and Motivation (The)

  Journals

  ISSN: 0079-7421

• JOURNAL OF LEARNING DISABILITIES

  Journals

  ISSN: 0022-2194 , eISSN: 1538-4780

• LEARNING AND INDIVIDUAL DIFFERENCES

  Journals

  ISSN: 1041-6080 , eISSN: 1873-3425

• Journal of Learning for Development

  Journals

  eISSN: 2311-1550

• NEUROBIOLOGY OF LEARNING AND MEMORY

  Journals

  ISSN: 1074-7427 , eISSN: 1095-9564

• LEARNING DISABILITY QUARTERLY

  Journals

  ISSN: 0731-9487 , eISSN: 2168-376X