Search results for: HEBBIAN LEARNING,TRANSFORMATIONAL LEADERSHIP,MISTAKE MANAGEMENT,ORGANIZATIONAL LEARNING,ORGANIZATIONAL CULTURE - Bridge of Knowledge

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Search results for: HEBBIAN LEARNING,TRANSFORMATIONAL LEADERSHIP,MISTAKE MANAGEMENT,ORGANIZATIONAL LEARNING,ORGANIZATIONAL CULTURE

Search results for: HEBBIAN LEARNING,TRANSFORMATIONAL LEADERSHIP,MISTAKE MANAGEMENT,ORGANIZATIONAL LEARNING,ORGANIZATIONAL CULTURE

  • Intercultural interactions at multinational corporations' workplace: Grounded theory.

    Publication

    - Journal of Positive Management - Year 2016

    environments is a new challenge for employees and managers. The aim of the paper is to analyze the social interactions in multicultural environments of multinational corporations (MNCs) as well as to propose a model of intercultural social interactions in MNCs’ specifi c context. Design/methodology/approach: The grounded theory approach was applied to create a model of intercultural interactions in MNCs. The data was obtained during...

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  • Project-Based Learning as a Method for Interdisciplinary Adaptation to Climate Change—Reda Valley Case Study

    Publication

    The challenges of the global labour market require university authorities to extend traditional forms of education into more innovative and effective solutions. Project-based learning (PjBL) is one of highly effective methods for acquiring knowledge and teaching “soft” skills to future employees. This article describes an experimental use of PjBL at a university with a long history of teaching based on traditional methods—the Gdansk...

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  • THE UNSUSTAINABILITY OF PUBLIC-SECTOR ORGANIZATIONAL NETWORKS: A CASE STUDY OF VOLUNTARY COURT NETWORKS

    Publication

    - Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska - Year 2020

    Purpose: The purpose of this study is to identify the problem of sustainability of public-sector 12 organizational networks on the example of common courts and what it implies for further 13 research. Methodology: The study used qualitative research tools in the form of structured 14 interviews. Interviews were conducted with 36 presidents and directors of common courts. 15 After conducting and transcribing each interview, their...

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  • Psychosocial risks associated with the profession of train driver

    Publication

    Excellent competencies as well as a good physical and mental health are required in train drivers’ profession. Despite the changes in the structure of employment the train drivers above 46 years and job tenure longer than 30 years are the largest group. The generation gap is becoming more pronounced, and its fulfilment will not be easy. It is related not only to training of new personnel but also promotion of healthy work environment...

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  • Algorithmic Human Resources Management - Perspectives and Challenges

    Theoretical background: Technology – most notably processes of digitalisation, the use of artificial intelligence, machine learning, big data and prevalence of remote work due to pandemic – changes the way organizations manage human resources. One of the increasing trends is the use of so-called “algorithmic management”. It is notably different than previous e-HRM or HRIS (human resources information systems) applications, as it...

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  • QUEUE I

    Events

    26-09-2022 10:12 - 30-09-2022 10:12

    Faculty of Applied Physics and Mathematics of Gdańsk Tech invites international students to the next summer school - Quantum and Molecules I (QUEUE I), organized within the ScienceApp project.

  • Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data

    Publication
    • R. W. Aslam
    • H. Shu
    • I. Naz
    • A. Quddoos
    • A. Yaseen
    • K. Gulshad
    • S. Saud Alarifi

    - Remote Sensing - Year 2024

    Wetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...

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  • University Students’ Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case Studies

    Publication

    - Year 2021

    Leading technologies are very attractive for students preparing their theses as the completion of their studies. Such an orientation of students connected with professional experiences seems to be a crucial motivator in the research in the management and business areas where these technologies condition the development of professional activities. The goal of the paper is the analysis of students’ thesis topics defended in the last...

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  • DOROTKA, czyli Doskonalenie Organizacji, ROzwoju oraz Tworzenia Kursów Akademickich przez Internet.

    Publication

    - Year 2005

    W artykule zaprezentowano dedykowaną platformę wspierającą kształcenie na odległość opracowaną i uruchomioną w ramach projektu Leonardo da Vinci TeleCAD (Teleworkers Training for CAD System Users, 1998-2001), wykorzystywaną w latach 2000-2003 do wspomagania przedmiotu Podstawy Informatyki na Wydziale Inżynierii Lądowej Politechniki Gdańskiej. Przedstawiono również, bazujący na wieloletnich doświadczeniach, model DOROTKA (Doskonalenie...

  • COVID-19 severity forecast based on machine learning and complete blood count data

    Proper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...

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  • COVID-19 severity forecast based on machine learning and complete blood count data

    Proper triage of COVID-19 patients is a key factor in eective case management, especially with limited and insucient resources. In this paper, we propose a machine-aided diagnostic system to predict how badly a patient with COVID-19 will develop disease. The prognosis of this type is based on the parameters of commonly used complete blood count tests, which makes it possible to obtain data from a wide range of patients.We chose...

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  • Identification of the Contamination Source Location in the Drinking Water Distribution System Based on the Neural Network Classifier

    Publication

    The contamination ingression to the Water Distribution System (WDS) may have a major impact on the drinking water consumers health. In the case of the WDS contamination the data from the water quality sensors may be efficiently used for the appropriate disaster management. In this paper the methodology based on the Learning Vector Quantization (LVQ) neural network classifier for the identification of the contamination source location...

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  • Nadzeya Sabatini dr

    Nadzeya Sabatini is Assistant Professor in Digital Transformation at Gdańsk University of Technology (Gdansk, Poland), its Department of Informatics in Management (Faculty of Management and Economics). Nadzeya is lecturer at USI – Università della Svizzera italiana (Lugano, Switzerland), a research fellow at the Institute of Digital Technologies for Communication of the same university, and coordinator of MSc in Digital Fashion...

  • Paweł Czarnul dr hab. inż.

    Paweł Czarnul obtained a D.Sc. degree in computer science in 2015, a Ph.D. in computer science granted by a council at the Faculty of Electronics, Telecommunications and Informatics, Gdansk University of Technology in 2003. His research interests include:parallel and distributed processing including clusters, accelerators, coprocessors; distributed information systems; architectures of distributed systems; programming mobile devices....

  • Knowledge Management Approaches of Small and Medium-Sized KIBS Firms: a Descriptive Analysis of Four Countries

    Publication
    • V. Alexandru
    • A. G. Andrei
    • E. Bolisani
    • J. G. Cegarra Navarro
    • M. Paiola
    • E. Scarso
    • E. M. Vatamanescu
    • M. Zięba

    - Year 2018

    Purpose –There is evidence that small and medium sized enterprises (SMEs) do not manage knowledge the same way as large firms, and that they approach knowledge management (KM) in various ways. However, the literature on this topic is still scarce and fragmented. In order to fill this gap, the paper aims to single out and discuss the different features that characterize the approaches to KM adopted by small companies. Design/methodology/approach...

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  • Porównanie systemu Ilias i Moodle - przypadek użycia.

    Publication

    W artykule przedstawiono koncepcję darmowych systemów LMS (ang. Learning Management System) jako narzędzi wspomagających prowadzenie zajęć metodą tradycyjną F2F (ang. Face to Face). Omówiono eksperyment zrealizowany przez dwie uczelnie trójmiejskie: Akademię Morską w Gdyni i Politechnikę Gdańską. Celem eksperymentu było porównanie systemu Ilias (wersja 2.4.4) z systemem Moodle (wersja 1.2). Na wstępie uzgodnione zostały zasady...

  • Innovative activity of SMEs In Poland

    Publication

    - Year 2010

    Innovative activity of enterprises is determined by many factors. On one hand, these are external factors creating a sort of innovative climate in the economy, on the other hand - there are many internal factors stimulating or reducing the intensity of innovative activities. What influences the innovativeness of enterprises is the effectiveness of the system supporting innovations, which was stated by for example Pyciński and Żołnierski...

  • Agata Pierścieniak dr hab. inż.

    People

    Agata Pierscieniak is a graduate of the Wrocław University of Technology, Faculty of Computer Science and Management (1992). She obtained her Ph.D. degree in the field of Economic Sciences in 2004 from the Warsaw University of Life Sciences, while her post-doc (habilitated doctor) degree in the discipline of Management Sciences, in 2016, was from the Warsaw School of Economics.During the years 1998-2018, she worked at the University...

  • Feature Weighted Attention-Bidirectional Long Short Term Memory Model for Change Detection in Remote Sensing Images

    Publication

    - Remote Sensing - Year 2022

    In remote sensing images, change detection (CD) is required in many applications, such as: resource management, urban expansion research, land management, and disaster assessment. Various deep learning-based methods were applied to satellite image analysis for change detection, yet many of them have limitations, including the overfitting problem. This research proposes the Feature Weighted Attention (FWA) in Bidirectional Long...

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  • Emilia Miszewska dr inż.

    Emilia Miszewska was born in 1986 in Gdańsk. She graduated from Primary School No. 17 in Gdańsk with sports classes specializing in swimming and Janusz Kusociński Sports Secondary School No. 11 in Gdańsk. In 2005, she started uniform master's studies at the Faculty of Civil and Environmental Engineering, which she completed in 2011, defending her diploma thesis entitled "Analysis and development of fire protection guidelines and...

  • CO-CURRICULAR ACTIVITIES IN TEACHING GEODESY

    Publication

    - Year 2016

    Apart from education process based on the curricular activities, the whole set of co-curricular activities (CCAs) can help students to develope both expert knowledge and social skills. These activities are separated from academic course, sometimes placed outside of school or after regular school hours. Co-curricular activities such as students' scientific circles, workshops, conferences or festivals of science, publication, honor...

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  • Knowledge management strategies in KIBS companies: A preliminary analysis

    Publication

    - Year 2017

    Purpose – The aim of this paper is to perform a preliminary analysis concerning the detection and examination of two possible opposite approaches to KM planning which will be referred to as deliberate and emergent KM strategies. The goal is to enhance our understanding of the variety of features KM strategies possess and, accordingly, to formulate categorisations that are in line with such characteristics. Design/methodology/approach...

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  • Odnowa modelu biznesu

    Publication

    W artykule przedstawiono wyniki badań teoretycznych nad istotą odnowy strategicznej biznesu. Odnowę tę oparto na restauracji ciągu zarządzania strategicznego.

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  • High-quality academic teachers in business school. The case of The University of Gdańsk, Poland

    Publication

    The Bologna process, the increasing number of higher education institutions, the mass education and the demographic problems make the quality of education and quality of the academic teachers a subject of wide public debate and concern. The aim of the paper is to identify the most preferred characteristics of a teacher working at a business school. The research problem was: What should a high-quality business school academic teacher...

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  • Automatic classification and mapping of the seabed using airborne LiDAR bathymetry

    Publication
    • Ł. Janowski
    • P. Tysiąc
    • R. Wróblewski
    • M. Rucińska
    • A. Kubowicz- Grajewska

    - ENGINEERING GEOLOGY - Year 2022

    Shallow coastal areas are among the most inhabited areas and are valuable for biodiversity, recreation and the economy. Due to climate change and sea level rise, sustainable management of coastal areas involves extensive exploration, monitoring, and protection. Current high-resolution remote sensing methods for monitoring these areas include bathymetric LiDAR. Therefore, this study presents a novel methodological approach to assess...

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  • METHODS OF TEACHING NOISE PROTECTION AT ENVIRONMENTAL ENGINEERING

    Publication

    Noise strongly influences both our health and behavior in everyday life and as employees or employers. The lost of hearing and other effects of noise on humans result not only in a significant decrease in the quality of life or work efficiency but have also have economic consequences. As noise can be preventable in part by the Environmental Engineers, but it is necessary to introduce them noise issues during their education process....

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  • How can Systems Thinking Help Us Handling the COVID-19 Crisis?

    Publication

    - Year 2020

    Purpose: COVID-19 pandemic outbreak remains one of the most influential events in the global economy over the recent years. While being primarily public health-related, it has a tremendous impact on many other aspects, such as public transport, education, and business management. Many businesses were forced to introduce rapid changes to their business models in order to survive. The aim of this paper is to show the complexity and...

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  • Anna Czaja mgr inż.

    People

    After completing Master's studies in Computer Science (Gdansk University of Technology, Faculty of Electronics, Telecommunications and Informatics), she worked as a programmer for several years. Currently employed as an assistant at the Department of Applied Informatics in Management (Gdańsk University of Technology, Faculty of Management and Economics). Participant in third degree doctoral studies at the Faculty of Management...

  • Kluczowe kompetencje jako narzędzie do tworzenia nowych modeli biznesu w przedsiębiorstwach

    Publication

    - Year 2024

    Koncepcja kluczowych kompetencji wywodzi się z nurtu zasobowego, który zakłada, iż o efektywności i konkurencyjności każdego podmiotu decydują odpowiednio dobrane zasoby i umiejętności ich optymalnego wykorzystania. Model biznesu to narzędzie do realizacji strategii organizacji, które wspomaga rozwój oraz zarządzanie strategiczne w przedsiębiorstwie. Dysertacja wypełnia lukę, jaką było wskazanie na zależność pomiędzy kluczowymi...

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  • A New Critical Risk on the Block: Cyber Risks as an Example of Technical Knowledge Risks in Organizations

    Publication

    - Year 2022

    The breakout of the COVID-19 pandemic has intensified the appearance of many additional technical knowledge risks in organizations. Cyber risks in particular are becoming a great challenge for organizations. At the same time, academic research on cyber risks, their costs, consequences and ability of overcoming them is still scarce and fragmented. In order to fill this gap, the paper is aimed to identify different types of cyber...

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  • Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects

    Publication
    • V. N. N. Nhanh Van
    • W. Tarełko
    • S. Prabhakar
    • A. S. El-Shafay
    • W. Chen
    • P. Q. P. Nguyen
    • N. X. Phuong
    • T. A. Nguyen

    - ENERGY & FUELS - Year 2024

    Modern machine learning (ML) techniques are making inroads in every aspect of renewable energy for optimizationand model prediction. The effective utilization of ML techniques for the development and scaling up of renewable energy systemsneeds a high degree of accountability. However, most of the ML approaches currently in use are termed black box since their work isdifficult to comprehend. Explainable artificial intelligence (XAI)...

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  • Dariusz Dąbrowski dr hab. inż.

    Dariusz Dąbrowski graduated from the Faculty of Shipbuilding at Gdańsk University of Technology and in 1987 began working at the university as an assistant in the Department of Shipbuilding Industry Organization within the then Institute of Organization and Design of Production Systems. In 1990, he went on a TEMPUS scholarship from the EU and spent 14 months at the University of Sheffield, where he participated in the Master of...

  • Adam Władziński

    People

    Adam Władziński, a PhD Candidate at Gdansk University of Technology, specializes in Biomedical Engineering with a focus on machine learning for image processing and blockchain technology. Holding a BEng and MSc in Electronics, Adam Władziński has developed a keen interest in applying advanced computational techniques to biological systems. During their master’s program, Adam Władziński explored laser spectroscopy, building a database...

  • Developing Methods for Building Intelligent Systems of Information Resources Processing Using an Ontological Approach

    Publication
    • V. Lytvyn
    • V. Vysotska
    • M. Bublyk
    • P. Grudowski
    • Y. Matseliukh
    • R. Nanivskyi

    - Advances in Intelligent Systems and Computing - Year 2021

    The problem of developing methods of information resource processing is investigated. A formal procedure description of processing text content is developed. A new ontological approach to the implementation of business processes is proposed. Consider that the aim of our work is to develop methods and tools for building intelligent systems of information resource processing, the core of knowledge bases of which are ontology’s, and...

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  • Adaptacja kulturowa jako wyzwanie w zespołachmiędzynarodowych

    Publication

    Wyzwania dotyczące pracy w międzykulturowym środowisku są najczęściej odnoszone do menedżerów, ze względu na powszechność ich międzynarodowych migracji oraz podejmowanie międzynarodowej współpracy z kooperantami. Rozwój globalnego rynku pracy stymuluje jednak również szeregowych pracowników do poszukiwania pracy w różnych krajach, co sprawia, że wielu z nich pracuje w międzykulturowych zespołach, gdzie doświadczają kulturowego...

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  • Tomasz Edward Berezowski dr inż.

    He was born in 1986 in Warsaw. He graduated in 2009 with honors from the Interfaculty Study of Environmental Protection at SGGW in Warsaw, specialty Restoration and Management of Environment. He defended his doctorate with honors at Vrije UIniversiteit Brussels in 2015. In 2015-2017 he worked as an assistant and then assistant professor at the Faculty of Civil and Environmental Engineering at SGGW. In 2017, he was employed as an...

  • Wyzwania bezpieczeństwa nowoczesnych platform nauczania zdalnego

    W artykule zaprezentowano aspekty bezpieczeństwa nowoczesnych platform nauczania zdalnego. Przedstawiono ich charakterystykę i wyzwania technologiczne. Zdefiniowano bezpieczeństwo i istniejące w tym obszarze zagrożenia. Przybliżono metody oceny poziomu bezpieczeństwa. Na bazie wdrożonej na Politechnice Gdańskiej platformy eNauczanie PG omówiono sposoby zapewniania zakładanego poziomu bezpieczeństwa takich systemów.

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  • Karol Flisikowski dr inż.

    Karol Flisikowski works as Associate Professor at the Department of Statistics and Econometrics, Faculty of Management and Economics, Gdansk University of Technology. He is responsible for teaching descriptive and mathematical statistics (in Polish and English), as well as scientific research in the field of social statistics. He has been a participant in many national and international conferences, where he has presented the results...

  • Sub-national structures matter when evaluating physical activity promotion: Lessons from Germany

    Publication
    • S. Forberger
    • P. Gelius
    • S. Messing
    • K. Volf
    • L. Kelly
    • S. J. E. Taylor
    • J. Żukowska
    • J. Lakerveld
    • C. Woods

    - EUROPEAN JOURNAL OF PUBLIC HEALTH - Year 2020

    Background Public policies are increasingly acknowledged as important part of promoting physical activity (PA). However, especially in states with sub-national administrative structures such as Germany, national and sub-national approaches differ considerably. In Germany, sport for all (SfA) promotion is mostly organized at sub-national level, which is usually not covered in national evaluations. Knowledge of these structures helps...

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  • Expedited Metaheuristic-Based Antenna Optimization Using EM Model Resolution Management

    Publication

    - Year 2017

    Design of modern antenna systems heavily relies on numerical opti-mization methods. Their primary purpose is performance improvement by tun-ing of geometry and material parameters of the antenna under study. For relia-bility, the process has to be conducted using full-wave electromagnetic (EM) simulation models, which are associated with sizable computational expendi-tures. The problem is aggravated in the case of global optimization,...

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  • Bi-GRU-APSO: Bi-Directional Gated Recurrent Unit with Adaptive Particle Swarm Optimization Algorithm for Sales Forecasting in Multi-Channel Retail

    Publication
    • A. Mogarala Guruvaya
    • A. Kollu
    • P. Bidare Divakarachari
    • P. Falkowski-Gilski
    • H. Dwaraka Praveena

    - Telecom - Year 2024

    In the present scenario, retail sales forecasting has a great significance in E-commerce companies. The precise retail sales forecasting enhances the business decision making, storage management, and product sales. Inaccurate retail sales forecasting can decrease customer satisfaction, inventory shortages, product backlog, and unsatisfied customer demands. In order to obtain a better retail sales forecasting, deep learning models...

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  • The High Quality Business School Academic Teacher of the 21st Century – Polish Students’ Perspective

    Publication

    The literature shows that the success and competence of future managers depend on the quality of their academic teachers. Moreover high quality study requires high quality lecturing/teaching that creates an environment in which deep learning outcomes are made possible for students. The aim was to identify the characteristics of the academic teacher working at business schools, according to the expectations of Polish students...

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  • Paradoxes in the engineering change management process

    Purpose: The main purpose of this paper is to conceptualize and operationalize paradoxes that are significant in the engineering change management (ECM) process. The following research question was stated: What are the paradoxes that influence the ECM process, and how can they be measured? Design/methodology/approach: The study is divided into two parts: conceptualization and operationalization. Conceptualization involved a literature...

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  • Energy consumption optimization in wastewater treatment plants: Machine learning for monitoring incineration of sewage sludge

    Biomass management in terms of energy consumption optimization has become a recent challenge for developed countries. Nevertheless, the multiplicity of materials and operating parameters controlling energy consumption in wastewater treatment plants necessitates the need for sophisticated well-organized disciplines in order to minimize energy consumption and dissipation. Sewage sludge (SS) disposal management is the key stage of...

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  • Is data management a new “digitisation”? A change of the role of librarians in the context of changing academic libraries’ tasks

    Publication

    - Year 2018

    Academic libraries’ tasks have been evolving over the years. The changes have been stimulated by appearing of electronic resources, automated library systems, digital libraries and Open Access (OA) repositories. Librarians’ tasks and responsibilities in the academic environment have been evolving in accordance with new tasks they were expected to assume. A few years ago there was a discussion during which an attempt was made to...

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  • An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume

    Publication

    - HYDROLOGY AND EARTH SYSTEM SCIENCES - Year 2023

    An innovative tool for modeling the specific flood volume was presented that can be applied to assess the need for stormwater network modernization as well as for advanced flood risk assessment. Field measurements for a catchment area in Kielce, Poland, were used to apply the model and demonstrate its usefulness. This model extends the capability of recently developed statistical and machine learning hydrodynamic models developed...

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  • Visual Content Representation for Cognitive Systems: Towards Augmented Intelligence

    Publication

    - Year 2020

    Cognitive Vision Systems have gained significant attention from academia and industry during the past few decades. One of the main reasons behind this interest is the potential of such technologies to revolutionize human life since they intend to work robustly under complex visual scenes (which environmental conditions may vary), adapting to a comprehensive range of unforeseen changes, and exhibiting prospective behavior. The combination...

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  • WATER SUPPLY AND WASTEWATER DISPOSAL

    e-Learning Courses
    • H. Al-Hazmi

    The course on Water Supply and Wastewater Disposal provides a comprehensive understanding of the principles, practices, and technologies involved in managing water resources effectively. It covers both the supply side, focusing on the provision of clean and safe drinking water, and the disposal side, addressing the treatment and management of wastewater to minimize environmental impact. Key Topics Covered: 1. Introduction to...

  • Dynamic GPU power capping with online performance tracing for energy efficient GPU computing using DEPO tool

    GPU accelerators have become essential to the recent advance in computational power of high- performance computing (HPC) systems. Current HPC systems’ reaching an approximately 20–30 mega-watt power demand has resulted in increasing CO2 emissions, energy costs and necessitate increasingly complex cooling systems. This is a very real challenge. To address this, new mechanisms of software power control could be employed. In this...

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  • Reduced-Cost Microwave Design Closure by Multi-Resolution EM Simulations and Knowledge-Based Model Management

    Parameter adjustment through numerical optimization has become a commonplace of contemporary microwave engineering. Although circuit theory methods are ubiquitous in the development of microwave components, the initial designs obtained with such tools have to be further tuned to improve the system performance. This is particularly pertinent to miniaturized structures, where the cross-coupling effects cannot be adequately accounted...

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