Search Results - "Arsic, Branko"
-
1
Importance of social capital for knowledge acquisition– DeepLIFT learning from international development projects
Published in Information processing & management (01-07-2024)“…•Social capital in international projects impacts knowledge acquisition.•Least influential are sanctions, obligations, expectations, individual…”
Get full text
Journal Article -
2
Another estimation of Laplacian spectrum of the Kronecker product of graphs
Published in Information sciences (01-09-2022)“…The characterization of Laplacian eigenvalues and eigenvectors of the Kronecker product of graphs using the Laplacian spectra and eigenvectors of the factors…”
Get full text
Journal Article -
3
The Influence of Social Capital on Knowledge Management Maturity of Nonprofit Organizations - Predictive Modelling Based on a Multilevel Analysis
Published in IEEE access (2019)“…Nonprofit, nongovernmental organizations (NGOs) are important development actors that operate in ecosystems of multi and cross-sector stakeholders in order to…”
Get full text
Journal Article -
4
Artificial Neural Network for Prediction of Seat-to-Head Frequency Response Function During Whole Body Vibrations in the Fore-and-Aft Direction
Published in Tehnički vjesnik (01-01-2022)“…Vibrations while driving, regardless of their intensity and shape, have the most obvious effect of reducing driving comfort. Seat-to-head frequency response…”
Get full text
Journal Article Paper -
5
GRAPH SPECTRAL TECHNIQUES IN COMPUTER SCIENCES
Published in Applicable analysis and discrete mathematics (01-04-2012)“…We give a survey of graph spectral techniques used in computer sciences. The survey consists of a description of particular topics from the theory of graph…”
Get full text
Journal Article -
6
The ontology supported intelligent system for experiment search in the scientific Research center
Published in Kragujevac Journal of Science (01-01-2014)“…Ontologies and corresponding knowledge bases can be quite successfully used for many tasks that rely on domain knowledge and semantic structures, which should…”
Get full text
Journal Article -
7
Application of Machine Learning for Segmentation of the Pulmonary Acinus Imaged by Synchrotron X-Ray Tomography
Published in Journal of aerosol medicine and pulmonary drug delivery (01-02-2023)“…To assess the effectiveness of inhalation therapy, it is important to evaluate the lungs' structure; thus, visualization of the entire lungs at the level of…”
Get more information
Journal Article -
8
Software that combines deep learning, 3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging
Published in Technology and health care (01-01-2024)“…Ultrasound is one of the non-invasive techniques that are used in clinical diagnostics of carotid artery disease. This paper presents software methodology that…”
Get more information
Journal Article -
9
Agent Based and Finite Element Method for Plaque Development in the Carotid Artery
Published in Aorta (Stamford, Conn.) (01-06-2022)Get full text
Conference Proceeding -
10
Atherosclerotic Plaque Characterization Using Deep Learning Methods
Published in Aorta (Stamford, Conn.) (01-06-2022)Get full text
Conference Proceeding -
11
Model Inference Using TVM on AMD GPU: Image Classification and LLM Case Studies
Published in 2024 11th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN) (03-06-2024)“…Deep learning models have revolutionized the field of artificial intelligence by exhibiting exceptional capabilities in understanding complex patterns and…”
Get full text
Conference Proceeding -
12
Application of Neural Network in Prediction of Frequency Response of Drivers During Driving
Published in 2023 IEEE 23rd International Conference on Bioinformatics and Bioengineering (BIBE) (04-12-2023)“…Vehicle comfort in oscillatory conditions is a multifaceted phenomenon affected by various factors including road conditions, driving speed, and driving mode,…”
Get full text
Conference Proceeding -
13
Validation of the machine learning approach for 3D reconstruction of carotid artery from ultrasound imaging
Published in 2020 IEEE 20th International Conference on Bioinformatics and Bioengineering (BIBE) (01-10-2020)“…It is important to investigate the state of the arteries in order to detect atherosclerotic plaques in the early stage and then treat them appropriately. One…”
Get full text
Conference Proceeding -
14
Agent Based with Finite Element Method for Plaque Progression in the Carotid Artery
Published in 2023 24th International Conference on Digital Signal Processing (DSP) (11-06-2023)“…Atherosclerosis is condition characterized by arterial lumen stenosis through the formation of a plaque (atheroma). Plaques can be comprised of foam cells,…”
Get full text
Conference Proceeding -
15
Modeling of Plaque Progression in the Carotid Artery Using Coupled Agent Based with Finite Element Method
Published in 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI) (27-09-2022)“…In study, we presented a new computational model for atheromatic plaque growth progression in the carotid artery using specialized mathematical models and…”
Get full text
Conference Proceeding -
16
Image Segmentation of the Pulmonary Acinus Imaged by Synchrotron X-Ray Tomography
Published in 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) (01-10-2019)“…Pulmonary acinus represents the gas exchange unit which includes branches of the terminal bronchiole, alveolar ducts, alveolar sacs, alveoli and associated…”
Get full text
Conference Proceeding -
17
Another estimation of Laplacian spectrum of the Kronecker product of graphs
Published 04-02-2021“…The relationships between eigenvalues and eigenvectors of a product graph and those of its factor graphs have been known for the standard products, while…”
Get full text
Journal Article -
18
Further results on structured regression for multi-scale networks
Published 02-09-2019“…Gaussian Conditional Random Fields (GCRF), as a structured regression model, is designed to achieve higher regression accuracy than unstructured predictors at…”
Get full text
Journal Article