Filtry
wszystkich: 6789
-
Katalog
- Publikacje 3831 wyników po odfiltrowaniu
- Czasopisma 418 wyników po odfiltrowaniu
- Konferencje 119 wyników po odfiltrowaniu
- Osoby 177 wyników po odfiltrowaniu
- Projekty 16 wyników po odfiltrowaniu
- Kursy Online 185 wyników po odfiltrowaniu
- Wydarzenia 20 wyników po odfiltrowaniu
- Dane Badawcze 2023 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: MACHINE LEARNING · ARTFICIAL INTELLIGENCE · DEEP LEARNING · SMALL VESSELS DISEASE · EXPLAINABLE AI · TRUSTWORTHINESS.
-
Australian Journal of Learning Difficulties
Czasopisma -
IEEE Transactions on Learning Technologies
Czasopisma -
Journal of Unschooling and Alternative Learning
Czasopisma -
Psychology Learning and Teaching-PLAT
Czasopisma -
Journal of Practice Teaching and Learning
Czasopisma -
Tizard Learning Disability Review
Czasopisma -
New Directions for Teaching and Learning
Czasopisma -
Journal of College Reading and Learning
Czasopisma -
International Journal of Learning and Change
Czasopisma -
Second Language Learning and Teaching
Czasopisma -
Advances in Learning and Behavioral Disabilities
Czasopisma -
Malaysian Journal of Learning & Instruction
Czasopisma -
International Journal of Technologies in Learning
Czasopisma -
Journal of Motor Learning and Development
Czasopisma -
CONTINUUM Lifelong Learning in Neurology
Czasopisma -
Journal of Formative Design in Learning
Czasopisma -
Scholarship of Teaching and Learning in Psychology
Czasopisma -
Journal of Applied Learning and Teaching
Czasopisma -
Critical Studies in Teaching and Learning
Czasopisma -
Higher Learning Research Communications
Czasopisma -
Canadian Journal of Learning and Technology
Czasopisma -
E-Learning and Digital Media
Czasopisma -
JOURNAL OF COMPUTER ASSISTED LEARNING
Czasopisma -
Creating a radiological database for automatic liver segmentation using artificial intelligence.
PublikacjaImaging in medicine is an irreplaceable stage in the diagnosis and treatment of cancer. The subsequent therapeutic effect depends on the quality of the imaging tests performed. In recent years we have been observing the evolution of 2D to 3D imaging for many medical fields, including oncological surgery. The aim of the study is to present a method of selection of radiological imaging tests for learning neural networks.
-
Machine Design Selected Problems
Kursy OnlineIn this course a deepened knowlege of the problems of machine design selected and pointed out by the students is presented
-
Technological vs. Non-Technological Mindsets: Learning From Mistakes, and Organizational Change Adaptability to Remote Work
PublikacjaThe permanent implementation of the change in working methods, e.g., working in the virtual space, is problematic for some employees and, as a result, for management leaders. To explore this issue deeper, this study assumes that mindset type: technological vs. non-technological, may influence the organizational adaptability to change. Moreover, the key interest of this research is how non-technological mindsets...
-
Machine Design 3, 2021/22
Kursy OnlineThe course contains a set of practical excercises in machine design with the goal to integrate and consolidate the earlier competency in general machine design.
-
TOWARDS EXPLAINABLE CLASSIFIERS USING THE COUNTERFACTUAL APPROACH - GLOBAL EXPLANATIONS FOR DISCOVERING BIAS IN DATA
PublikacjaThe paper proposes summarized attribution-based post-hoc explanations for the detection and identification of bias in data. A global explanation is proposed, and a step-by-step framework on how to detect and test bias is introduced. Since removing unwanted bias is often a complicated and tremendous task, it is automatically inserted, instead. Then, the bias is evaluated with the proposed counterfactual approach. The obtained results...
-
Robust-adaptive dynamic programming-based time-delay control of autonomous ships under stochastic disturbances using an actor-critic learning algorithm
PublikacjaThis paper proposes a hybrid robust-adaptive learning-based control scheme based on Approximate Dynamic Programming (ADP) for the tracking control of autonomous ship maneuvering. We adopt a Time-Delay Control (TDC) approach, which is known as a simple, practical, model free and roughly robust strategy, combined with an Actor-Critic Approximate Dynamic Programming (ACADP) algorithm as an adaptive part in the proposed hybrid control...
-
SMALL
Czasopisma -
Book Review
PublikacjaActing over the last three decades as an Editor and Associate Editor for a number of international journals in the general area of cybernetics and AI, as well as a Chair and Co-Chair of numerous conferences in this field, I have had the exciting opportunity to closely witness and to be actively engaged in the stimulating research area of machine learning and its important augmentation with deep learning techniques and technologies. From...
-
Experience-based Intelligence Augmentation with Decisional DNA: Upcoming direction
PublikacjaIntelligence amplification systems and technologies have gained significant interest from academia and industry during the past few decades. One of the main reasons behind this trend is the fact that most experts agree that truly intelligent artificial system is yet to be developed. The question increasing often asked is this: Is full replication of human intelligence desirable key aim in intelligence related technology and research?...
-
Computational intelligence methods in production management
PublikacjaThis chapter presents a survey of selected computational intelligence methods used in production management. This group of methods includes, among others, approaches based on the artificial neural networks, the evolutionary algorithms, the fuzzy logic systems and the particle swarm optimization mechanisms. From the abovementioned methods particularly noteworthy are the evolutionary and the particle swarm algorithms, which are successfully...
-
AI & Society
Czasopisma -
AI COMMUNICATIONS
Czasopisma -
AI MAGAZINE
Czasopisma -
AI Open
Czasopisma -
Energy and AI
Czasopisma -
Leveraging Generative AI Tools for UX Design in Lean and Agile Projects
PublikacjaRecent advancements in Generative AI (GenAI) open new opportunities to improve User Experience (UX) practitioners’ efficiency in their projects. Due to intensive teamwork caused by time pressure and readiness for rapid changes, Lean and Agile project management seems particularly predestined for easy adoption of GenAI-supported UX design methods. However, precipitate and spontaneous leveraging of GenAI tools to UX design bears...
-
A Generative Approach to Hull Design for a Small Watercraft
PublikacjaIn the field of ocean engineering, the task of spatial hull modelling is one of the most complicated problems in ship design. This study presents a procedure applied as a generative approach to the design problems for the hull geometry of small vessels using elements of concurrent design with multi-criteria optimisation processes. Based upon widely available commercial software, an algorithm for the mathematical formulation of...
-
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
Publikacja -
Effects of mutual learning in physical education to improve health indicators of Ukrainian students
Publikacja -
Learning Feedforward Control Using Multiagent Control Approach for Motion Control Systems
Publikacja -
Learning from Imbalanced Data Streams Based on Over-Sampling and Instance Selection
Publikacja -
Simulation Method for Scheduling Linear Construction Projects Using the Learning– Forgetting Effect
Publikacja -
The sensors-based artificial intelligence Train Control and Monitoring System (TCMS) for managing the railway transport fleet
PublikacjaRailways deliver a safe and sustainable form of transport and are typically pointed as one the safest form of transportation. Nevertheless, train accidents still happen, and when they happen, the consequences concern serious fatalities and injuries. Since every case is unique, the most frequent causes of train accidents are mechanical derailments, failures, as well as human errors and ignorance. In order to mitigate the risks posed...
-
Improving Accuracy of Contactless Respiratory Rate Estimation by Enhancing Thermal Sequences with Deep Neural Networks
PublikacjaEstimation of vital signs using image processing techniques have already been proved to have a potential for supporting remote medical diagnostics and replacing traditional measurements that usually require special hardware and electrodes placed on a body. In this paper, we further extend studies on contactless Respiratory Rate (RR) estimation from extremely low resolution thermal imagery by enhancing acquired sequences using Deep...
-
Heart Lung and Vessels
Czasopisma -
Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends
PublikacjaSemantic-based segmentation (Semseg) methods play an essential part in medical imaging analysis to improve the diagnostic process. In Semseg technique, every pixel of an image is classified into an instance, where each class is corresponded by an instance. In particular, the semantic segmentation can be used by many medical experts in the domain of radiology, ophthalmologists, dermatologist, and image-guided radiotherapy. The authors...
-
Strength testing machine results
Dane BadawczeThe aim of the research project is to determine the rotational stiffness of the connection between the purlin and the part of the truss top chord. The attached files are referred to the forces and displacements obtained from the strength testing machine (two sensors). The 16 specimens were tested on the experimental set up.