CGFFCM: Cluster-weight and Group-local Feature-weight learning in Fuzzy C-Means clustering algorithm for color image segmentation

AG Oskouei, M Hashemzadeh, B Asheghi… - Applied Soft …, 2021 - Elsevier
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 …

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 …

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 …

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 …

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 …

A parallel SP-DBSCAN algorithm on spark for waiting spot recommendation

D Xia, Y Bai, Y Zheng, Y Hu, Y Li, H Li - Multimedia Tools and Applications, 2022 - Springer
It is challenging for complex urban transportation networks to recommend taxi waiting spots
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 …

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 …