Fuzzy Petri nets for knowledge representation and reasoning: A literature review

HC Liu, JX You, ZW Li, G Tian - Engineering Applications of Artificial …, 2017 - Elsevier
Abstract Fuzzy Petri nets (FPNs) are a potential modeling technique for knowledge
representation and reasoning of rule-based expert systems. To date, many studies have …

Automatic person detection in search and rescue operations using deep CNN detectors

S Sambolek, M Ivasic-Kos - Ieee Access, 2021 - ieeexplore.ieee.org
Due to a growing number of people who carry out various adrenaline activities or adventure
tourism and stay in the mountains and other inaccessible places, there is an increasing …

[PDF][PDF] Techniques of deep learning and image processing in plant leaf disease detection: A review

AS Kini, PKV Reddy, SN Pai - International Journal of Electrical and …, 2023 - academia.edu
Computer vision techniques are an emerging trend today. Digital image processing is
gaining popularity because of the significant upsurge in the usage of digital images over the …

Complete random forest based class noise filtering learning for improving the generalizability of classifiers

S Xia, G Wang, Z Chen, Y Duan - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
The existing noise detection methods required the classifiers or distance measurements or
data overall distribution, andcurse of dimensionality'and other restrictions made them …

Ball detection using YOLO and Mask R-CNN

M Buric, M Pobar, M Ivasic-Kos - 2018 International conference …, 2018 - ieeexplore.ieee.org
Many computer vision applications rely on accurate and fast object detection, and in our
case, ball detection serves as a prerequisite for action recognition in handball scenes. We …

Deep image captioning: An overview

I Hrga, M Ivašić-Kos - 2019 42nd International Convention on …, 2019 - ieeexplore.ieee.org
Image captioning is a process of automatically describing an image with one or more natural
language sentences. In recent years, image captioning has witnessed rapid progress, from …

Two-tier image annotation model based on a multi-label classifier and fuzzy-knowledge representation scheme

M Ivasic-Kos, M Pobar, S Ribaric - Pattern recognition, 2016 - Elsevier
Automatic image annotation involves automatically assigning useful keywords to an
unlabelled image. The major goal is to bridge the so-called semantic gap between the …

Image Descriptions' Limitations for People with Visual Impairments: Where Are We and Where Are We Going?

AH Jandrey, DDA Ruiz, MS Silveira - … of the XX Brazilian Symposium on …, 2021 - dl.acm.org
Image descriptions aim to transcribe the visual content and are essential for people who do
not have eyesight. Such image descriptions are generated manually or by Artificial …

Mask R-CNN and Optical flow based method for detection and marking of handball actions

M Pobar, M Ivasic-Kos - 2018 11th International Congress on …, 2018 - ieeexplore.ieee.org
To build a successful supervised learning model for action recognition a large amount of
training data needs to be labeled first. Labeling is normally done manually and it is a tedious …

From knowledge based vision systems to cognitive vision systems: a review

T de Souza Alves, CS de Oliveira, C Sanin… - Procedia Computer …, 2018 - Elsevier
Computer vision research and applications have their origins in 1960s. Limitations in
computational resources inherent of that time, among other reasons, caused research to …