CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation
The fuzzy c-means (FCM) algorithm is a popular method for data clustering and image
segmentation. However, the main problem of this algorithm is that it is very sensitive to the …
segmentation. However, the main problem of this algorithm is that it is very sensitive to the …
UFS-Net: A unified flame and smoke detection method for early detection of fire in video surveillance applications using CNNs
A Hosseini, M Hashemzadeh, N Farajzadeh - Journal of Computational …, 2022 - Elsevier
Fire is a recurring event that usually causes a lot of social, environmental, ecological, and
economic damage in different environments. Therefore, machine vision-based fire detection …
economic damage in different environments. Therefore, machine vision-based fire detection …
Fire detection for video surveillance applications using ICA K-medoids-based color model and efficient spatio-temporal visual features
M Hashemzadeh, A Zademehdi - Expert Systems with Applications, 2019 - Elsevier
Automated detection of fire flames in videos shot from a surveillance camera is an active
research topic, as fire detection must be accurate and fast. The present study proposes and …
research topic, as fire detection must be accurate and fast. The present study proposes and …
Smoke detection in video using convolutional neural networks and efficient spatio-temporal features
M Hashemzadeh, N Farajzadeh, M Heydari - Applied Soft Computing, 2022 - Elsevier
Fire detection in its early stages is of a great importance in different environmental related
applications. Among the visual signs of fire, smoke appears earlier than the flames in many …
applications. Among the visual signs of fire, smoke appears earlier than the flames in many …
Advancements in Fire Alarm Detection using Computer Vision and Machine Learning: A Literature Review
MF Ridhani, WF Mahmudy - Journal of Information Technology and …, 2023 - jitecs.ub.ac.id
Fire is one of the most common and increasing emergencies that threaten public safety and
social development. This can cause significant loss of life and damage. Fire detection …
social development. This can cause significant loss of life and damage. Fire detection …
A parallel SP-DBSCAN algorithm on spark for waiting spot recommendation
It is challenging for complex urban transportation networks to recommend taxi waiting spots
for mobile passengers because the traditional centralized mining platform cannot address …
for mobile passengers because the traditional centralized mining platform cannot address …
Cell-based target localization and tracking with an active camera
J You, Z Hu, H Xiao, C Xu - Applied Sciences, 2022 - mdpi.com
This paper proposes a new method of target localization and tracking. The method consists
of four parts. The first part is to divide the scene into multiple cells based on the camera's …
of four parts. The first part is to divide the scene into multiple cells based on the camera's …
Outlier Detection on Data Streams Using a QLattice-based Model and Online Learning
S Fardin, M Hashemzadeh - Signal and Data Processing, 2023 - jsdp.rcisp.ac.ir
With the advancement of computer science, the dramatic developments in data mining area
and their increasing applications, the identification of outlier or anomaly data has also …
and their increasing applications, the identification of outlier or anomaly data has also …