Search Results - spatial information data detection framework

Formal specification for spatial information databases integration framework (SIDIF) by Julaily Aida, Jusoh, Mustafa, Man, Mohd Shafry, Mohd Rahim, Mohammad, Zaidi

“…This paper discusses the formal validation for spatial information databases integration framework (SIDIF). …”
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GIS Smart Mapping Technique For Urban Spatial Pattern Analysis - A Case Study On Nibong Tebal Sub-District by Ahmad, Ramlah

“…In conclusion, this research provides useful results in demonstrating a process of integrating information derived from satellite imagery with other spatial data in land use change detection study.…”
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Deep learning approach for automated geospatial data collection by Al-Azizi, Jalal Ibrahim

“…Geospatial data collection and mapping are considered to be one of the key tasks for many users of spatial information. …”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

“…The proposed framework has also been compared with existing stateof- the-art detection algorithms. …”
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Large-scale detection, mapping, and initial health assessment of date palm trees using multiplatform remotely-sensed data and deep learning techniques by Gibril, Mohamed Barakat Abdelfatah

“…The proposed framework also exhibits great generalizability in detecting and mapping individual date palm trees from different UAV images with diverse spatial resolutions. …”
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Efficient NASNetMobile-enhanced Vision Transformer for weakly supervised video anomaly detection by Arif Mohamad, Muhammad Luqman, Abd Rahman, Mohd Amiruddin, Mohd Shah, Nurisya, Kumar Sangaiah, Arun

“…This research presents NASNetMobile–EViT, a lightweight framework that addresses both the computational burden and the contextual information deficiency that hinder weakly supervised anomaly detection. …”
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Leveraging sMRI, Self-Attention Mechanisms, and Evolving Spiking Neural Networks for Enhanced Suicide Ideation Detection in Depressed Young Adults by Corrine, Francis, Abdulrazak Yahya, Saleh

“…ESNNs, inspired by the brain's information processing mechanisms, excel at capturing temporal and spatial patterns in data, making them well-suited for modeling the complex dynamics of SI risk factors. …”
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Development of geospatial model for tuberculosis prediction in Gombak, Selangor, Malaysia by Mohidem, Nur Adibah

“…Conclusion: This study identified the spatial variability in the association between risk factors and TB cases, and visualized the high risk areas using a user-friendly web mapping application, which helps in improving case detection and targeted surveillance. …”
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Image steganography: comparative analysis of their techniques, complexity and enhancements by Abd Aziz, Ahmad Zulfakar, Mohd Sultan, Muhammad Fitri, Mohamad Zulkufli, Nurul Liyana

“…This paper focuses on the three steganography methods in the spatial domain: Least Significant Bit (LSB), Pixel-Value Difference (PVD) and Edge-based Data Embedding (EBE) methods. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

“…The proposed functions for the offline phase are the detection of spatial and spatiotemporal outliers and the macro clustering. …”
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Development of river water level estimation from surveillance cameras for flood monitoring system using deep learning techniques by Muhadi, Nur 'Atirah

“…In Malaysia, a telemetric forecasting system is currently been used in flood monitoring systems. However, data information obtained from this system is one spatial dimension and one point-based station, thus it cannot represent the dynamics of the surface water extent. …”
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Analyzing Burglary Dynamics through Land Use in Selangor, Kuala Lumpur, and Putrajaya : A Space-Time EHSA Approach by Azizul, Ahmad, Tarmiji, Masron, Syahrul Nizam, Junaini, Mohd Azizul Hafiz, Jamian, Mohamad Hardyman, Barawi, Yoshinari, Kimura, Norita, Jubit, Ruslan, Rainis

“…The results reveal a nuanced spatial clustering of burglary incidents that is significantly influenced by varied land use types—ranging from residential and industrial zones to open spaces—thereby enhancing the granularity of hotspot detection and offering empirical insights into the temporal evolution of crime patterns. …”
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Wifi-based location-independent human activity recognition and localization using deep learning by Abuhoureyah, Fahd Saad Amed

“…Precise activity recognition and incorporation of through-wall sensing capabilities are achieved within the deep learning framework. Second, Multi-head Attention Mechanism Networks capture intricate patterns in Channel State Information (CSI) data, enhancing recognition accuracy for human activities detected through WiFi signals. …”
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Analyzing and modeling an urbanizing tropical watershed for sustainable land use planning by Memarian, Hadi Khalil Abad

“…Mann-Kendall and Pettitt were used to detect gradual and abrupt changes in the hydrological data sets. …”
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