Search Results - spatial information data transformation framework

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

“…Given the increasing availability of unmanned aerial vehicle (UAV) images with limited spectral information, the high intraclass variance of palm trees, the variations in spatial resolutions of data, and the complexity of image contexts, accurate and automatic large-scale mapping of date palm trees from multisource and multidate data remains a challenge. …”
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SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation by Zhuoyi, Tan, Hizmawati, Madzin, Bahari, Norafida, Rahmita, Wirza OK Rahmat, Fatimah, Khalid, Puteri, Suhaiza Sulaiman

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SwinUNeLCsT: Global–local spatial representation learning with hybrid CNN–transformer for efficient tuberculosis lung cavity weakly supervised semantic segmentation by Tan, Zhuoyi, Madzin, Hizmawati, Norafida, Bahari, Ok Rahmat, Rahmita Wirza, Khalid, Fatimah, Sulaiman, Puteri Suhaiza

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Development of a registration framework for echocardiography and computed tomography cardiovascular image fusion / Azira Khalil by Azira, Khalil

“…This registration framework however does not utilize the optical tracking information. …”
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Moving objects detection from UAV captured videos using trajectories of matched regional adjacency graphs by Harandi, Bahareh Kalantar Ghorashi

“…Trajectory information is also considered across multiple frames taking into account many types of transformations. …”
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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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Designing The National Spatial Data Infrastructure For Jordan by Gharaibeh, Ibrahem A. M.

“…Knowing the SDI development status of other countries is essential to intensify the development and liability of spatial data information. In Jordan, there are many agencies, both public and private, that are concerned with spatial data production, use and sharing to meet the needs of the geo-information community. …”
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GIS-based MCDA approach for FELDA land model development / Suzanah Abdullah ... [et al.] by Abdullah, Suzanah, Mokhtar, Salbiah, Abdul Rashid, Mohd Fadzil, Kamaruddin, Siti Mazwin, Kamar, Muhamad Asri Abdullah, Ali, Mohamad Azal Fikry

“…The spatial data from UAV imagery was extracted according to a predefined classification. …”
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Developing resilient design criteria for evacuation centre / Aainaa Suhardi, Ismail Samsuddin and Dzulkarnaen Ismail by Suhardi, Aainaa, Samsuddin, Ismail, Ismail, Dzulkarnaen

“…Various official documents on disaster management, shelter guidelines, and resilience frameworks were used to compile this research. These documents attribute the current design standards used in a disaster evacuation centre and inform researchers that each design standard includes embedded resilience features. …”
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Improving multi-resident activity recognition in smart home using multi label classification with adaptive profiling by Mohamed, Raihani

“…Therefore, Adaptive Profiling (AP) for multi-resident involving context information includes temporal and spatial information is proposed to address the class-overlapping using Expectation-Maximization (EM) clustering. …”
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Analyzing and modeling an urbanizing tropical watershed for sustainable land use planning by Memarian, Hadi Khalil Abad

“…Recently, the geographic information system-based spatial process modelling have become indispensable tools for understanding natural processes occurring at the watershed scale. …”
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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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