Filtry
wszystkich: 1807
-
Katalog
- Publikacje 1280 wyników po odfiltrowaniu
- Czasopisma 222 wyników po odfiltrowaniu
- Konferencje 43 wyników po odfiltrowaniu
- Osoby 90 wyników po odfiltrowaniu
- Projekty 15 wyników po odfiltrowaniu
- Aparatura Badawcza 1 wyników po odfiltrowaniu
- Kursy Online 78 wyników po odfiltrowaniu
- Wydarzenia 9 wyników po odfiltrowaniu
- Dane Badawcze 69 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: DEEP LEARNING, ROBOTICS
-
International Journal of Learning Technology
Czasopisma -
Innovation in Language Learning and Teaching
Czasopisma -
Active Learning in Higher Education
Czasopisma -
Language Learning in Higher Education
Czasopisma -
Learning Disabilities-A Multidisciplinary Journal
Czasopisma -
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 MACHINE LEARNING RESEARCH
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 -
Machine Learning and Knowledge Extraction
Czasopisma -
Machine Learning-Science and Technology
Czasopisma -
JOURNAL OF COMPUTER ASSISTED LEARNING
Czasopisma -
Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
PublikacjaThis 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...
-
Machine learning-based prediction of seismic limit-state capacity of steel moment-resisting frames considering soil-structure interaction
PublikacjaRegarding the unpredictable and complex nature of seismic excitations, there is a need for vulnerability assessment of newly constructed or existing structures. Predicting the seismic limit-state capacity of steel Moment-Resisting Frames (MRFs) can help designers to have a preliminary estimation and improve their views about the seismic performance of the designed structure. This study improved data-driven decision techniques in...
-
Szymon Zaporowski mgr inż.
Osoby -
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...
-
Development of thin film SPME sorbents based on deep eutectic solvents and their application for isolation and preconcentration of endocrine-disrupting compounds leaching from diapers to urine
PublikacjaIn this study, the thin film solid phase microextraction (TF-SPME) based on a novel sorbent composed of deep eutectic solvent (DES) is proposed. Among several synthesized sorbents the most efficient was DES containing trihexyl(tetradecyl)phosphonium chloride and docosanol mixed with polydimethylsiloxane (PDMS) in a molar ratio 1:3:0.25 to achieve a more stable structure. The proposed sorbent was applied on a fiberglass mesh and...
-
Investigation of vortex assisted magnetic deep eutectic solvent based dispersive liquid–liquid microextraction for separation and determination of vanadium from water and food matrices: Multivariate analysis
PublikacjaA new and simple vortex assisted magnetic deep eutectic solvent dispersive liquid–liquid microextraction procedure (VA-MDES-DLLME) was developed for the determination of vanadium (V) in food and water samples by flame atomic absorption spectrometry (FAAS). In the extraction medium, a bis(acetylpivalylmethane) ethylenediimine (H2APM2en) was used for the complexation of V(V) in sample solution at pH 6. The VA-MDES-DLLME was optimized...
-
Sensitive method for determination of benzoic acid in beverages and food samples using air–assisted hydrophobic deep eutectic solvent-based dispersive liquid-liquid microextraction
PublikacjaA simple, reliable and rapid air–assisted hydrophobic deep eutectic solvent-based dispersive liquid–liquid microextraction (AA-HDES-DLLME) was developed for analysis of benzoic acid in various beverages and food samples. The final determination stage was performed via UV–visible spectrophotometry. The key parameters (extraction time, HDES type and volume, dispersant volume, pH and sample volume) of the AA-HDES-DLLME method were...
-
Machine learning techniques combined with dose profiles indicate radiation response biomarkers
Publikacja -
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 -
Overcoming “Big Data” Barriers in Machine Learning Techniques for the Real-Life Applications
Publikacja -
Simulation Method for Scheduling Linear Construction Projects Using the Learning– Forgetting Effect
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 -
Machine Learning and data mining tools applied for databases of low number of records
Publikacja -
Multivariate Features Extraction and Effective Decision Making Using Machine Learning Approaches
Publikacja -
Analyzing the Effectiveness of the Brain–Computer Interface for Task Discerning Based on Machine Learning
PublikacjaThe aim of the study is to compare electroencephalographic (EEG) signal feature extraction methods in the context of the effectiveness of the classification of brain activities. For classification, electroencephalographic signals were obtained using an EEG device from 17 subjects in three mental states (relaxation, excitation, and solving logical task). Blind source separation employing independent component analysis (ICA) was...
-
Driver’s Condition Detection System Using Multimodal Imaging and Machine Learning Algorithms
PublikacjaTo this day, driver fatigue remains one of the most significant causes of road accidents. In this paper, a novel way of detecting and monitoring a driver’s physical state has been proposed. The goal of the system was to make use of multimodal imaging from RGB and thermal cameras working simultaneously to monitor the driver’s current condition. A custom dataset was created consisting of thermal and RGB video samples. Acquired data...
-
Machine learning-based prediction of residual drift and seismic risk assessment of steel moment-resisting frames considering soil-structure interaction
PublikacjaNowadays, due to improvements in seismic codes and computational devices, retrofitting buildings is an important topic, in which, permanent deformation of buildings, known as Residual Interstory Drift Ratio (RIDR), plays a crucial role. To provide an accurate yet reliable prediction model, 32 improved Machine Learning (ML) algorithms were considered using the Python software to investigate the best method for estimating Maximum...