Advances in Information and Communication Technology
Proceedings of the 2nd International Conference ICTA 2023, Volume 2
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Chapter and Conference Paper
Speeding Up SIFT for Faster Feature-Based UAV Visual Localization
The process of finding and locating an unmanned aerial vehicle (UAV) on a map image in a Global Navigation Satellite System (GNSS)-denied environment is known as vision-based localization. Scale-invariant feat...
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Chapter and Conference Paper
Development of Traffic Congestion Prediction Solution Using Cellular Neural Network Technology
Traffic congestion is a serious, hot issue for many cities and peripheral roads. Traffic congestion causes many consequences, costs, and discomfort for everyone. Many solutions have been implemented from plann...
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Book and Conference Proceedings
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Chapter and Conference Paper
Enhancing Wildfire Detection Using Semi-supervised Fuzzy Clustering on Satellite Imagery
The current concern over wildfires stems from their devastating impact on ecosystems, wildlife and human lives. These fires have adverse effects on the environment, resulting in the destruction of vegetation c...
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Book and Conference Proceedings
Advances in Information and Communication Technology
Proceedings of the 2nd International Conference ICTA 2023, Volume 1
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Article
A New Approach for Semi-supervised Fuzzy Clustering with Multiple Fuzzifiers
Data clustering is the process of dividing data elements into different clusters in which elements in one cluster have more similarity than those in other clusters. Semi-supervised fuzzy clustering methods are...
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Article
TS3FCM: trusted safe semi-supervised fuzzy clustering method for data partition with high confidence
Data partition with high confidence is one of the main concentration of researchers in Soft Computing for many years. It is known that there may be some data with less confidence (wrong values, incorrect attri...
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Chapter and Conference Paper
Face and Hand Gesture Recognition for Secure Control of Equipment
Recently, the application of hand recognition and face recognition have been installed and run in smart devices to response some demands of human life. However, in the process of recognition, there still exist...
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Chapter and Conference Paper
Incorporating Unsupervised and Semi-supervised Learning in Min-Max Neuron Network for Clustering Data
This paper proposes an improved fuzzy min-max neural network for data clustering. The proposed model incorporates both unsupervised and semi-supervised methods during training. The studies and experiments are...
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Chapter and Conference Paper
A New Fuzzy Associative Memory
Fuzzy Associative Memory (FAM) is a neural network that stores associations of patterns. The most important advantage of FAM is recalling stored patterns from noisy inputs (noise tolerance). Some FAMs only sho...
