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 …
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 …
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 …
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
The existing noise detection methods required the classifiers or distance measurements or
data overall distribution, andcurse of dimensionality'and other restrictions made them …
data overall distribution, andcurse of dimensionality'and other restrictions made them …
Ball detection using YOLO and Mask R-CNN
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 …
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 …
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
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 …
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?
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 …
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 …
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 …
computational resources inherent of that time, among other reasons, caused research to …