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- Publikacje 158 wyników po odfiltrowaniu
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Wyniki wyszukiwania dla: GENERATIVE AI (GAI)
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Metaheurystyki w szeregowaniu zadań uwarunkowanych czasowo
Publikacjaw artykule tym zbadano zastosowanie algorytmów metaheurystycznych w problemach szeregowania zadań uwarunkowanych czasowo. porównano wyniki algorytmu genetycznego, ewolucji różnicowej oraz symulowanego wyżarzania, z reprezentacjami rozwiązania: permutacyjną, opartą o priorytety reguł i kodowaniem przedziałowym, osiągnięte w rozwiązywaniu np-trudnego problemu 1 | pi = ai + bisi | sum wici. gdzie to możliwe, wyniki porównano z rozwiązaniami...
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AUTOMATED NEGOTIATIONS OVER COLLABORATION PROTOCOL AGREEMENTS
PublikacjaThe dissertation focuses on the augmentation of proactive document - agents with built-in intelligence to recognize execution context provided by devices visited during a business process, and to reach collaboration agreement despite conflicting requirements. The proposed solution, based on intelligent bargaining using neural networks to improve simple multi-issue negotiation between the document and thedevice, requires practically...
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Edu Inspiracje WZiE: Sztuczna inteligencja w edukacji. Czy strach ma wielkie oczy?
PublikacjaNa dzień dzisiejszy bardzo trudno jest odróżnić treści pisane przez człowieka od tych generowanych przez AI, a najsmutniejsze jest to, że wszyscy, którzy używają pożyczonej inteligencji w nadmiarze, pozbawiają się okazji do uczenia i rozwoju. W rezultacie życie staje się łatwiejsze, ale mądrości jakby ubywa. W artykule dokonano krytycznego przeglądu narzędzi i algorytmów opartych o sztuczną inteligencję wspierający procesy edukacyjne.
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Cykl wykładów o sztucznej inteligencji
WydarzeniaAI Bay i DIH4.AI zapraszają na seminarium z cyklem wykładów dotyczących wykorzystania sztucznej inteligencji w naukach fizycznych, inżynierii materiałowej, nanotechnologii oraz informatyce kwantowej.
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Resource constrained neural network training
PublikacjaModern applications of neural-network-based AI solutions tend to move from datacenter backends to low-power edge devices. Environmental, computational, and power constraints are inevitable consequences of such a shift. Limiting the bit count of neural network parameters proved to be a valid technique for speeding up and increasing efficiency of the inference process. Hence, it is understandable that a similar approach is gaining...
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The carbohydrate glycosylphosphatidylinositol anchor chain under mechanical stress
PublikacjaCarbohydrates have quite complicated micro heterogenic structure which may undergo different structural transitions. Due to their extreme flexibility it is very difficult to investigate such structural changes experimentally. In these studies we want to predict what structural and conformational changes are possible in the carbohydrate
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Possible uses of crisis situation aiding system in virtual world simulation
PublikacjaMany of the real world crisis situations like spreading fire, hostile units attack, flood, and etc. are commonly used in computer games where a simulation of extensive virtual world is crucial. This paper presents some ideas for possible uses of existing crisis situation aiding system in such environments. Moreover, it shows how this kind of system can be taught during subsequent games with a large number of players. As an example...
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Sztuczna inteligencja w onkologii - nowe narzędzia do diagnostyki i medycyny spersonalizowanej
Publikacjastatnie dekady doprowadziły do rozwoju zaawansowanych technologii badawczych, cechujących się wysoką przepustowością. Zmienia to oblicze medycyny, doprowadzając do generowania ogromnej ilości danych. Z każdym kolejnym rokiem przybywa pacjentów onkologicznych, a zebrane informacje o pacjentach przekraczają możliwości lekarzy i naukowców w zakresie samodzielnej analizy tzw. big data. Właśnie dlatego świat nauki coraz częściej zwraca...
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Non-Coaxially Rotating Motion in Casson Martial along with Temperature and Concentration Gradients via First-Order Chemical Reaction
PublikacjaThe effect of non-coaxial rotation on the transport of mass subjected to first-order chemical reaction is studied analytically. The effects of thermal radiation, buoyancy, constructive and destructive chemical reactions along with Casson fluid in rotating frame are discussed. Time evolution of primary and secondary velocities, energy and solute particles are analyzed. The behavior of flow under the variation of intensity of magnetic...
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Collaborative Data Acquisition and Learning Support
PublikacjaWith the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an...
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Abdalraheem Ijjeh Ph.D. Eng.
OsobyThe primary research areas of interest are artificial intelligence (AI), machine learning, deep learning, and computer vision, as well as modeling physical phenomena (i.e., guided waves in composite laminates). The research interests described above are utilized for SHM and NDE applications, namely damage detection and localization in composite materials.
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Intelligence Augmentation and Amplification: Approaches, Tools, and Case Studies
PublikacjaMost experts agree that truly intelligent artificial system is yet to be developed. The main issue that still remains a challenge is imposing trust and explainability into such systems. However, is full replication of human intelligence really desirable key aim in intelligence related technology and research? This is where the concept of augmented intelligence comes into play. It is an alternative conceptualization of artificial...
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Algorithmic Human Resources Management
PublikacjaThe rapid evolution of Digital Human Resources Management has introduced a transformative era where algorithms play a pivotal role in reshaping the landscape of workforce management. This transformation is encapsulated in the concepts of algorithmic management and algorithmic Human Resource Management (HRM). The integration of advanced analytics, predictive and prescriptive analytics and the power of Artificial Intelligence (AI)...
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Smart Knowledge Engineering for Cognitive Systems: A Brief Overview
PublikacjaCognition in computer sciences refers to the ability of a system to learn at scale, reason with purpose, and naturally interact with humans and other smart systems, such as humans do. To enhance intelligence, as well as to introduce cognitive functions into machines, recent studies have brought humans into the loop, turning the system into a human–AI hybrid. To effectively integrate and manipulate hybrid knowledge, suitable technologies...
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The influence of image masks definition onsegmentation results of histopathological imagesusing convolutional neural network
PublikacjaAbstract—In the era of collecting large amounts of tissue materials, assisting the work of histopathologists with various electronic and information IT tools is an undeniable fact. The traditional interaction between a human pathologist and the glass slide is changing to interaction between an AI pathologist with a whole slide images. One of the important tasks is the segmentation of objects (e.g. cells) in such images. In this...
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Programowanie w SAS 2024
Kursy OnlineCelem przedmiotu jest: zapoznanie studenta z językiem programowania SAS 4GL zaznajomienie z zasadami makroprogramowania w SAS przedstawienie możliwości zastosowania zdobytych umiejętności w praktyce Ilustracja do kursu wygenerowana przez AI
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Borders of Digital Art in the Context of the Information Society
PublikacjaThe article shows the relationship between the development of information technologies, the characteristics of the information society and digital art. The broad possibilities of the digital world related to recording, storing and processing data (cyber text, big data, smart services) and the creation of virtual worlds are pointed out. The influence of the development of information technologies on the character of the works of...
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Dariusz Dąbrowski dr hab. inż.
OsobyDariusz Dąbrowski ukończył studia w Instytucie Okrętowym Politechniki Gdańskiej, a w 1987 roku podjął pracę na tej uczelni na stanowisku asystenta w Zakładzie Organizacji Przemysłu Okrętowego w ówczesnym Instytucie Organizacji i Projektowania Systemów Produkcyjnych. W 1990 roku wyjechał na stypendium TEMPUS, UE, i spędził 14 miesięcy na Uniwersytecie w Sheffield, gdzie uczestniczył w programie Master of Business Administration...
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CMGNet: Context-aware middle-layer guidance network for salient object detection
PublikacjaSalient object detection (SOD) is a critical task in computer vision that involves accurately identifying and segmenting visually significant objects in an image. To address the challenges of gridding issues and feature...
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Kazimierz Market Place. Akwarela 38x56cm
PublikacjaL'acquerello in Alessandria, la mostra internazionale patrocinata dal Comune e dalle Provincia di Alessandria, dalla Regione Piemonte e dal Comune di Vignale e organizzata dall'Associazione italiana acquerellisti. L'esposizione, circa 150 acquerelli dei socie Aia e di artisti provenienti da Australia, Belgio, Brasile Polonia e Spagna per presentare le principali tecniche dell'acquerelli e le diverse concezioni artistiche e stilistiche...
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Deep Learning: A Case Study for Image Recognition Using Transfer Learning
PublikacjaDeep learning (DL) is a rising star of machine learning (ML) and artificial intelligence (AI) domains. Until 2006, many researchers had attempted to build deep neural networks (DNN), but most of them failed. In 2006, it was proven that deep neural networks are one of the most crucial inventions for the 21st century. Nowadays, DNN are being used as a key technology for many different domains: self-driven vehicles, smart cities,...
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Deep Learning
PublikacjaDeep learning (DL) is a rising star of machine learning (ML) and artificial intelligence (AI) domains. Until 2006, many researchers had attempted to build deep neural networks (DNN), but most of them failed. In 2006, it was proven that deep neural networks are one of the most crucial inventions for the 21st century. Nowadays, DNN are being used as a key technology for many different domains: self-driven vehicles, smart cities,...
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Performance Characteristics of a Micro-Turbine
PublikacjaIn the paper a design of a multi-stage micro-turbine with partial admission of all the stages is described in detail and the results of particular experimental investigations and numerical calculations are shown, followed by conclusions. The co-generative micro-power plant with the HFE7100 as a working medium was designed and built for experimental investigations. The values of the main cycle parameters were as follows:heat output:...
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Experimental ORC micro-power plant for CHP application Part B: Radial and Multi-stage axial turbines
PublikacjaThe co-generative micro-power plant with the HFE7100 applied as a working medium was designed and built for experimental investigations. Special attention is paid to a micro-turbine which was built and tested in two variants: a radial turbine and an axial turbine. A concept of a radial turbine with 2 centripetal and 2 centrifugal stages is shown. This prototype was equipped with an aerostatic gas bearing and, alternatively, with...
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Performance Characteristics of a Micro-turbine, International
Publikacja. In the paper a design of a multi-stage micro-turbine with partial admission of all the stages is described in detail and the results of particular experimental investigations and numerical calculations are shown, followed by conclusions. The co-generative micro-power plant with the HFE7100 as a working medium was designed and built for experimental investigations. The values of the main cycle parameters were as follows:- heat...
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Zaawansowane przygotowanie danych w uczeniu maszynowym
Kursy OnlineKurs wyłączenie dla specjalności "Uczenie Maszynowe" oraz "Sztuczna Inteligencja" kierunku Informatyka na wydziale ETI, realizowanych w projekcie AI Tech. Przedmiotu nie można wybrać jako przedmiot obieralny ani w ramach indywidualnych planów studiów poza powyższymi specjalnościami.
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Design and investigations of a micro-turbine flow part
Publikacja-generative micro-power plant with the HFE7100 as a working medium was designed and built for experimental investigations. The heat output of the plant was assumed equal to 20 kW, while the electric output amounted to about 3kW.In the paper a multi-stage micro-turbine with partial admission of all the stages is described in detail and the results of the particular experimental investigations and numerical calculations are shown,...
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Wpływ drzewienia elektrycznego na poziom ładunku w obszarze przyelektrodowym izolacji polietylenowej
PublikacjaW referacie przedstawiono wyniki badań charakterystyk prądów depolaryzacyjnych I(t) w próbkach polietylenu w układzie ostrze - płyta uziemiona. Charakterystyki te zmierzone po ładowaniu próbki napięciem 5 kV przez czas 10 lub 30 minut przedstawiają w układzie współrzędnych logarytm I - czas t postać prostych równoległych. W przypadku igły bez drzewka obserwuje się zależność wykładniczą, natomiast przy wystąpieniu drzewka w krótkich...
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Trustworthy Applications of ML Algorithms in Medicine - Discussion and Preliminary Results for a Problem of Small Vessels Disease Diagnosis.
PublikacjaML algorithms are very effective tools for medical data analyzing, especially at image recognition. Although they cannot be considered as a stand-alone diagnostic tool, because it is a black-box, it can certainly be a medical support that minimize negative effect of human-factors. In high-risk domains, not only the correct diagnosis is important, but also the reasoning behind it. Therefore, it is important to focus on trustworthiness...
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Zastosowanie komputerów w dziedzinie wyszukiwania strategii optymalnych w grach logicznych
PublikacjaProblem jaki stanowi wyszukiwanie strategii optymalnej w grach logicznych jest bardzo złożony. Można go podzielić na następujące podproblemy: obliczeniowy, pamięciowy oraz operacji wejścia/wyjścia. Jednak rosnąca z roku na rok siła obliczeniowa komputerów, ilość pamięci oraz prędkość transferu danych pomiędzy podzespołami zarówno lokalnymi jak i rozproszonymi, a także wzrost skuteczności wykorzystywanych technik algorytmicznych...
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Spotkanie politechnicznego klubu sztucznej inteligencji
WydarzeniaPierwsze w tym roku akademickim spotkanie klubu AI Bay – Zatoka Sztucznej Inteligencji, który działa na Politechnice Gdańskiej odbędzie się w Gmachu B Wydziału Elektroniki, Telekomunikacji i Informatyki (Audytorium 1P).
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Precise Identification of Different Cervical Intraepithelial Neoplasia (CIN) Stages, Using Biomedical Engineering Combined with Data Mining and Machine Learning
PublikacjaCervical cancer (CC) is one of the most common female cancers worldwide. It remains a significant global health challenge, particularly affecting women in diverse regions. The pivotal role of human papillomavirus (HPV) infection in cervical carcinogenesis underscores the critical importance of diagnostic strategies targeting both HPV infection and cervical...
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Artificial Intelligence for Wireless Avionics Intra-Communications
PublikacjaThis chapter presents a summary of the description and preliminary results of the use case related to the implementation of artificial intelligence tools in the emerging technology called wireless avionics intra-communications (WAICs). WAICs aims to replace some of the cable buses of modern aircraft. This replacement of infrastructure leads to: (1) complexity reduction of future airplanes, (2) creation of innovative services where...
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Mixed-use buildings as the basic unit that shapes the housing environment of smart cities of the future
PublikacjaThe contemporary approach to creating the residential function is confronted with the trend of increasing the volume of buildings and expectations regarding the future urban environment focused on sustainable development. This paper presents an overview of the residential structure in the context of defined thematic scopes. Namely, it is a systemic approach to the problem of designing mixed-use buildings which create a modern residential...
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THE ROLE OF INFERENCE IN MOBILE MEDICAL APPLICATION DESIGN
PublikacjaIn the early 21st century, artificial intelligence began to be used to process medical information. However, before this happened, predictive models used in healthcare could only consider a limited number of variables, and only in properly structured and organised medical data. Today, advanced tools based on machine learning techniques - which, using artificial neural networks, can explore extremely complex relationships - and...
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Case Study NEB Atlas / part II - Autodesk Forma analysis / BedZED, London
Dane BadawczeThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to analysis housing estates already existed in various cities in Europe. The analyses ware done in real time with AI and powered for key factors such as sun hours, daylight potential, noise, wind, and microclimate. These data...
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Case Study NEB Atlas / part II - Autodesk Forma (formerly Spacemaker) / Battersea Power Station Development, London
Dane BadawczeThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to analysis housing estates already existed in various cities in Europe. The analyses ware done in real time with AI and powered for key factors such as sun hours, daylight potential, noise, wind, and microclimate. These data...
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Case Study NEB Atlas / part II - Autodesk Forma analysis / ZAC de Bonne, Grenoble, France
Dane BadawczeThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to analysis housing estates already existed in various cities in Europe. The analyses ware done in real time with AI and powered for key factors such as sun hours, daylight potential, noise, wind, and microclimate. These data...
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Case Study NEB Atlas / part II - Autodesk Forma analysis / Brunnshög district in Lund, Sweden
Dane BadawczeThe data presents the results of work on the analysis of contemporary neighbourhoods. The aim of this part of the research was to analysis housing estates already existed in various cities in Europe. The analyses ware done in real time with AI and powered for key factors such as sun hours, daylight potential, noise, wind, and microclimate. These data...
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A Review of Recent Advances in Human-Motion Energy Harvesting Nanogenerators, Self-Powering Smart Sensors and Self-Charging Electronics
PublikacjaIn recent years, portable and wearable personal electronic devices have rapidly developed with increasing mass production and rising energy consumption, creating an energy crisis. Using batteries and supercapacitors with limited lifespans and environmental hazards drives the need to find new, environmentally friendly, and renewable sources. One idea is to harness the energy of human motion and convert it into electrical energy...
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Engineering education for smart grid systems in the quasi-industrial environment of the LINTE^2 laboratory
PublikacjaSmart grid systems are revolutionising the electric power sector, integrating advanced technologies to enhance efficiency, reliability and sustainability. It is important for higher education to equip the prospective smart grid professional with the competencies enabling them to navigate through the related complexities and drive innovation. To achieve this, interdisciplinary education programmes are necessary, addressing inter...
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Beyond Traditional Learning: The LLM Revolution in BPM Education at University
PublikacjaLarge Language Models (LLMs) significantly impact higher education, requiring changes in educational processes, especially in Business Process Management (BPM) practical exercises. The research aims to evaluate the effectiveness of LLMs in BPM education to determine if LLMs can supplement educators. The study involved 33 master’s degree students. Students’ works were manually evaluated and compared to LLM-generated responses. Results...
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Migration of container terminals as their natural process of evolution: Case study of Gdańsk and Gdynia ports
PublikacjaThe paper proposes a theoretical model of container terminals and container port development, based on the life cycle theory, threshold theory and catastrophe theory, and in references to Kuznets' swings (interpreted as waves of infrastructural investments), and Kondratiev long economic waves. The aim of this model is to explain the development process of a container terminal and a port within one technological generation, as...
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Tomasz Deręgowski dr inż.
OsobyTomasz Deręgowski jest adiunktem w Katedrze Informatyki w Zarządzaniu na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej, oraz kierownikiem Departamentu Inżynierii Platform Danych, pracującego nad rozwiązaniami Big Data, uczenia maszynowego i inżynierii danych w Nordea Bank AB - największej Skandynawskiej instytucji finansowej. Wcześniej pracował przez 15 lat w branży IT jako programista, lider zespołu, kierownik programu...
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Data on LEGO sets release dates and worldwide retail prices combined with aftermarket transaction prices in Poland between June 2018 and June 2023
PublikacjaThe dataset contains LEGO bricks sets item count and pricing history for AI-based set pricing prediction. The data spans the timeframe from June 2018 to June 2023. The data was obtained from three sources: Brickset.com (LEGO sets retail prices, release dates, and IDs), Lego.com official web page (ID number of each set that was released by Lego, its retail prices, the current status of the set) and promoklocki.pl web page (the retail...
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Sensing Direction of Human Motion Using Single-Input-Single-Output (SISO) Channel Model and Neural Networks
PublikacjaObject detection Through-the-Walls enables localization and identification of hidden objects behind the walls. While numerous studies have exploited Channel State Information of Multiple Input Multiple Output (MIMO) WiFi and radar devices in association with Artificial Intelligence based algorithms (AI) to detect and localize objects behind walls, this study proposes a novel non-invasive Through-the-Walls human motion direction...
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Bożena Kostek prof. dr hab. inż.
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Time Projection Chamber (TPC) detectors for nuclear astrophysics studies with gamma beams
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Dr. Asmaa Mahfoud Al-Hakimi PhD
OsobyDr. ASMA’A MAHFOUD HEZAM AL-HAKIMY from Yemen was born in Egypt 9th October. Received Diploma in Computer Programming in 2006 from University of Science and Technology Sanaa Yemen. Received Bachelor’s Degree in Computer Studies in 2008 from NORTHUMBRIA Newcastle University UK. Received master’s degree in Software Engineering in 2011 from STAFFORDSHIRE University, UK. Received PhD in Software Engineering from Universiti Putra Malaysia....
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Data governance: Organizing data for trustworthy Artificial Intelligence
PublikacjaThe rise of Big, Open and Linked Data (BOLD) enables Big Data Algorithmic Systems (BDAS) which are often based on machine learning, neural networks and other forms of Artificial Intelligence (AI). As such systems are increasingly requested to make decisions that are consequential to individuals, communities and society at large, their failures cannot be tolerated, and they are subject to stringent regulatory and ethical requirements....