Search results for: PLANNING AND LEARNING
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Structure and Randomness in Planning and Reinforcement Learning
PublicationPlanning in large state spaces inevitably needs to balance the depth and breadth of the search. It has a crucial impact on the performance of a planner and most manage this interplay implicitly. We present a novel method \textit{Shoot Tree Search (STS)}, which makes it possible to control this trade-off more explicitly. Our algorithm can be understood as an interpolation between two celebrated search mechanisms: MCTS and random...
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Model-free and Model-based Reinforcement Learning, the Intersection of Learning and Planning
PublicationMy doctoral dissertation is intended as the compound of four publications considering: structure and randomness in planning and reinforcement learning, continuous control with ensemble deep deterministic policy gradients, toddler-inspired active representation learning, and large-scale deep reinforcement learning costs.
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An application of blended and collaborative learning in spatial planning course
PublicationSpatial Planning is a master course for graduate students of Environmental Engineering. The course is based on assumptions that students’ future work will be connected with spatial planning, and spatial issues will have an influence on their everyday lives. To familiarize students with environmental issues in planning, the teams of students get an assignment to design an urban space, waterfront along a stream. The whole project...
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Supporting First Year Students Through Blended-Learning - Planning Effective Courses and Learner Support
PublicationHigher education has been actively encouraged to find more effective and flaxible delivery models to provide all students with access to good quality learning experiences. This paper describes students opinion about using e-learning techniques and their participation in courses provided in different ways as additional help and expectations of first year students.
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Autonomous port management based AGV path planning and optimization via an ensemble reinforcement learning framework
PublicationThe rapid development of shipping trade pushes automated container terminals toward the direction of intelligence, safety and efficiency. In particular, the formulation of AGV scheduling tasks and the safety and stability of transportation path is an important part of port operation and management, and it is one of the basic tasks to build an intelligent port. Existing research mainly focuses on collaborative operation between...
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Machine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects
PublicationMachine Learning Assisted Interactive Multi-objectives Optimization Framework: A Proposed Formulation and Method for Overtime Planning in Software Development Projects Hammed A. Mojeed & Rafal Szlapczynski Conference paper First Online: 14 September 2023 161 Accesses Part of the Lecture Notes in Computer Science book series (LNAI,volume 14125) Abstract Software development project requires proper planning to mitigate risk and...
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Urban planning and design issues
e-Learning CoursesThis course deals with an overview of the contemporary urban planning and design issues
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Spatial and Regional Planning Studies
e-Learning CoursesThe course objective is to teach the basic, practical skills of planning for the architects. Three aspects of planning will be taught during the course: building control, regulatory planning and operational planning. The students will explore the role of planning in granting the building permissions, how to prepare the planning (zoning) regulations and finally what are urban design tools, which can be used to coordinate the development...
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Desiging e-learning courses and distance learning (level 1. certified course)
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Spatial and Regional Planning Studies - Pancewicz-Smolnicki
e-Learning CoursesSpatial and Regional Planning Studies dedicated for master students of the English group are conducted by: dr inż. arch. Łukasz Pancewicz dr inż. arch. Piotr Marek Smolnicki Due to the late time classes are planned without breaks.
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[AiU] Research methodology in architecture and urban planning
e-Learning Courses{mlang pl} Dyscyplina: architektura i urbanistyka Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: Prof. Spela Hudnik Liczba godzin: 30 Forma zajęć: wykład {mlang} {mlang en} Discipline: architecture and urbanism Obligatory course for 1st-year PhD students Academic teachers: Prof. Spela Hudnik Total hours of training: 30 teaching hours Course type: lecture {mlang} CRITICAL ZONES VS COMFORT ZONES
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[AiU] Research methodology in architecture and urban planning
e-Learning Courses{mlang pl} Dyscyplina: AiU Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: Prof. Spela Hudnik Liczba godzin: 30 Forma zajęć: wykład {mlang} {mlang en} Discipline: AiU Obligatory course for 1st-year PhD students Academic teacher: Prof. Spela Hudnik Total hours of training: 30 teaching hours Course type: Lecture {mlang}
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[AiU] Research methodology in architecture and urban planning
e-Learning Courses{mlang pl} Dyscyplina: AiU Zajęcia obowiązkowe dla doktorantów I roku Prowadzący: Prof. Spela Hudnik Liczba godzin: 30 Forma zajęć: wykład {mlang} {mlang en} Discipline: AiU Obligatory course for 1st-year PhD students Academic teacher: Prof. Spela Hudnik Total hours of training: 30 teaching hours Course type: Lecture {mlang}
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[AiU] 20232024Research methodology in architecture and urban planning
e-Learning CoursesThis course is compulsory for PhD students assigned to Architecture and Urbanism tracks at Doctoral School at Gdańsk University of Technology. The course is conducted by prof. Sandro Parrinello, Department Architecture of University of Florence Course type: workshops Total hours of training: 30 teaching hours Classes in hybrid mode (classes conducted online and at the GdańskTech)
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[AiU] Research methodology in architecture and urban planning
e-Learning CoursesW ramach kursu realizowane będą zajęcia dla grupy doktorantów szkoły doktorskiej z dyscypliny "Architektura i urbanistyka". This course is addressed to the PhD students of "Architecture and urbanism" discipline at the doctoral school. Course type: lecture Total hours of training: 30 teaching hours
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Planning and Design for Real Estate Development 2023/24
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Planning of experiments and error analysis, W, MiBM, letni 21/22 (PG_00057374)
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Planning of experiments and error analysis, C, MiBM, letni 21/22 (PG_00057374)
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Introduction to Local Governance and Theory of Spatial Planning (2021/22, winter semester)
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Planning of experiments and error analysis, C, IDE, sem.01, letni 22/23 (PG_00057374)
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Planning of experiments and error analysis, W, IDE, sem.01, letni 22/23 (PG_00057374)
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Planning of experiments and error analysis, W/C, IDE, sem. 1, letni, 2023/24
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TD (trans-disciplinarity) as a conceptual research approach to address complex collective action problems in governance and planning research
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Scenario-planning solutions for waterfront flood-prone areas
PublicationThe aim of this article is to discuss the potential of applying scenario planning to achieve resilient and future-oriented solutions for flood-prone areas. The authors have proposed additions to scenario-planning processes based on the introduction of research-by-design architectural inquiries. Examined in this article is the insight into the testing of such a modified scenario-planning methodology during two courses that accompanied...
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Is This Distance Teaching Planning That Bad?
PublicationIn spring 2020, university courses were moved into the virtual space due to the Covid-19 lockdown. In this paper, we use experience from courses at Gdańsk University of Technology and ETH Zurich to identify core problems in distance teaching planning and to discuss what to do and what not to do in teaching planning after the pandemic. We conclude that we will not return to the state of (teaching) affairs that we had previously....
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Breast MRI segmentation by deep learning: key gaps and challenges
PublicationBreast MRI segmentation plays a vital role in early diagnosis and treatment planning of breast anomalies. Convolutional neural networks with deep learning have indicated promise in automating this process, but significant gaps and challenges remain to address. This PubMed-based review provides a comprehensive literature overview of the latest deep learning models used for breast segmentation. The article categorizes the literature...
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Bridging theory and practice in postgraduate education on development and planning: Gdynia Urban Summer Schools 2016-2018
PublicationIn this article, the authors discuss results achieved by the Gdynia Urban Summer School (GUSS) organised annually (between 2016 and 2018) in Gdynia, Poland. The GUSS was meant for young practitioners from various professions such as urban and regional planning, urban design, architecture, civil engineering and transport planning. The objective was to give workshop participantspractical interdisciplinary...
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METHODS OF TEACHING SPATIAL AND URBAN PLANNING AT GEODESY AND CARTOGRAPHY
PublicationSpatial and town planning is a complex process caused by the interaction between natural and social systems at different temporal and spatial scales. That is the reason, why it is difficult to introduce this subject to students studying disciplines other than spatial or urban planning. The main problem is to define goals, the scope and expected educational effects. The second step is to choose the appropriate teaching and assessment...
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Izabela Mironowicz dr hab. inż. arch.
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A Machine Learning Approach for Estimating Overtime Allocation in Software Development Projects
PublicationOvertime planning in software projects has traditionally been approached with search-based multi-objective optimization algorithms. However, the explicit solutions produced by these algorithms often lack applicability and acceptance in the software industry due to their disregard for project managers' intuitive knowledge. This study presents a machine learning model that learns the preferred overtime allocation patterns from solutions...
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Project-Based Learning as a Method for Interdisciplinary Adaptation to Climate Change—Reda Valley Case Study
PublicationThe 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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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
PublicationWetlands 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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Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
PublicationThis study assessed the usefulness of algorithms in estimating energy consumption and carbon dioxide emissions in Viet- nam, in which the training dataset was used to train the models linear regression, random forest, XGBoost, and AdaBoost, allowing them to comprehend the patterns and relationships between population, GDP, and carbon dioxide emissions, energy consumption. The results revealed that random forest, XGBoost, and AdaBoost...
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Multiplicative Long Short-Term Memory with Improved Mayfly Optimization for LULC Classification
PublicationLand Use and Land Cover (LULC) monitoring is crucial for global transformation, sustainable land control, urban planning, urban growth prediction, and the establishment of climate regulations for long-term development. Remote sensing images have become increasingly important in many environmental planning and land use surveys in recent times. LULC is evaluated in this research using the Sat 4, Sat 6, and Eurosat datasets. Various...
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Good practices in requirements, project and risk managment in educational IT projects
PublicationOne can find many learning aids and simulations of physical phenomena on the market - provided as a standalone application or as part of an educational package. However, only a few of them allow for the building of interactive experiments: experiments similar to those that should be conducted in physics laboratories at schools. Gdańsk University of Technology decided to fill this market niche by designing and constructing a set...
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Methodology for hospital design in architectural education
PublicationThe architecture of a hospital should be a response to strong user requirements. Recommendations on how to shape the environment of such facilities are highly complex, integrating guidelines from many fields of science. If contradictions between them exist, the designer is required to set priorities for spatial activities. This issue is particularly important during architectural education. The learning process should include projects...
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Risking It All or Here Comes the Flood
PublicationThe professional reality is interdisciplinary! When city transformation and evolution starts, what are the tools for successful strategies for urban interventions? How does digital planning for digital fabrication processes look like? How dedicated are the new professionals? And how does this all influence the future of bridge design? More than 60 students representing various disciplines of built environment and working together...
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Koncepcja systemu wspomagania decyzji nawigatora statku opartego na ewolucyjnym planowaniu manewrów antykolizyjnych
PublicationArtykuł przedstawia koncepcję systemu wspomagania decyzji nawigatora statku opartego na wątkach badań prowadzonych wcześniej przez autora. System będzie rozszerzał funkcjonalność systemów dotychczasowych o możliwość szczegółowego planowania bezpiecznej trajektorii statku na wodach zamkniętych, z dużą liczbą statków obcych i ograniczeniami toru wodnego. Artykuł zawiera dyskusję możliwych podejść do planowania manewrów, optymalizacji...
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Optimizing Construction Engineering Management Using Metaheuristic Methods and Bayesian Networks
PublicationThe construction of buildings invariably involves time and costs, and disruptions impact ongoing construction projects. Crisis situations in management strategies, structural confusion, and finan-cial miscalculations often arise due to misguided decision-making. This article proposes a method that combines the learning of Bayesian Networks and heuristic techniques to optimize deci-sion-making processes in construction scheduling....
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International Conference on Automated Planning and Scheduling
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Workshop on Constraint Satisfaction for Planning and Scheduling
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How to teach architecture? – Remarks on the edge of Polish transformation processes after 1989
PublicationThe political changes in Poland after 1989 have resulted in a whole range of dynamic processes including the transformation of space. Until that time the established institutional framework for spatial, urban and architectural planning policy was based on uniform provisions of the so-called planned economy. The same applied to the training of architects, which was based on a unified profile of education provided at the state’s...
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Will NILM Technology Replace Multi-Meter Telemetry Systems for Monitoring Electricity Consumption?
PublicationThe estimation of electric power utilization, its baseload, and its heating, light, ventilation, and air-conditioning (HVAC) power component, which represents a very large portion of electricity usage in commercial facilities, are important for energy consumption controls and planning. Non-intrusive load monitoring (NILM) is the analytical method used to monitor the energy and disaggregate total electrical usage into appliance-related...
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Decision making process using deep learning
PublicationEndüstri 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...
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Romanika Okraszewska dr inż. arch.
PeopleRomanika Okraszewska, Ph.D., Eng. Arch., is an Assistant Professor at the Faculty of Civil and Environmental Engineering of Gdańsk University of Technology (GUT). Graduated from the mathematical and informatical class at the National Education Commission High School in Gdańsk. Graduated from two faculties of Gdańsk University of Technology, Architecture and Urban Planning (2002) and Management and Economics (2004). Participant...
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Remote measurement of building usable floor area - Algorithms fusion
PublicationRapid changes that are taking place in the urban environment have significant impact on urban growth. Most cities and urban regions all over the world compete to increase resident and visitor satisfaction. The growing requirements and rapidity of introducing new technologies to all aspects of residents' lives force cities and urban regions to implement "smart cities" concepts in their activities. Real estate is one of the principal...
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Computational Methods for Liver Vessel Segmentation in Medical Imaging: A Review
PublicationThe segmentation of liver blood vessels is of major importance as it is essential for formulating diagnoses, planning and delivering treatments, as well as evaluating the results of clinical procedures. Different imaging techniques are available for application in clinical practice, so the segmentation methods should take into account the characteristics of the imaging technique. Based on the literature, this review paper presents...
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How to deal with knowledge in small companies? Defining emergent KM approach
PublicationThis paper examines the concept of emergent KM approach in small companies. The origins of consideration are grounded in the theory of strategic management literature and in particular in the distinction between deliberate versus emergent approach towards strategic planning. Using the methodology of case study, we carried out an explorative research to analyse the characteristics of KM approach in two small companies located in...
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Sub-national structures matter when evaluating physical activity promotion: Lessons from Germany
PublicationBackground 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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Strategic aspects in spatial planning - theory and practice in largest cities of Poland
PublicationThe rate of changes and the growing uncertainty rise to the need for a strategic approach to development planning, which is active and flexible in relation to the changing reality. Strategic planning, occurring in companies, was adapted by the social-economic development planning of self-government units. However, there are difficulties in applying the strategic planning in the spatial planning and integration of the two forms...