Search Results - spatial information based interaction framework*

Development of a web-geographical information system application for plotting tuberculosis cases by Nur Adibah Mohidem, Malina Osman, Farrah Melissa Muharam, Saliza Mohd Elias, Rafiza Shaharudin, Zailina Hashim

GIS based planning support system for the state of Negeri Sembilan, Malaysia by Yaakup, Ahris, Masser, Ian, Sulaiman, Susilawati

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Five-Class SSVEP Response Detection using Common Spatial Pattern (CSP)-SVM Approach by Rashid, Mamunur, Norizam, Sulaiman, Mahfuzah, Mustafa, Bari, Bifta Sama

“…Because of the superior signal-to-noise ratio (SNR) together with quicker information transfer rate (ITR), the intentness of SSVEP-based BCIs is progressing significantly. …”
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Particle swarm optimization with deep learning for human action recognition by Usmani, U.A., Watada, J., Jaafar, J., Aziz, I.A., Roy, A.

“…To extract the appearance based and structural information, each frame of the action sequences is evaluated for spatial features. …”
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Development of geospatial model for tuberculosis prediction in Gombak, Selangor, Malaysia by Mohidem, Nur Adibah

“…This could be attributed to the overcrowding of inmates in the Sungai Buloh prison located there. The GWR model based on the environmental factor (GWR2) was the best model to determine the spatial distribution of TB cases based on the highest values of R2 i.e. 0.98 and local R2 > 0.70, which consisted of 2006 cases of TB. …”
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Modelling Water Allocation for a Run-of-the-River Rice Irrigation Scheme Using GIS by Kamal, Md. Rowshon

“…The “Detailed Scheme Information” module describes a new framework for creating generic graphical user interfaces with ArcObjects and VBA for database access of spatial and non-spatial data recorded in a geodatabase. …”
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Smile detection using hybrid face representation by Arigbabu, Olasimbo Ayodeji, Mahmood, Saif, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Arigbabu, Abayomi A.

“…Second, in order to minimize redundancy and extract the most relevant facial information from the feature vectors, a correlation based filter feature selection approach is adopted. …”
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Hybrid approach on multi- spatiotemporal data framework towards analysis of long-lead upstream flood: a case of Niger State, Nigeria by Ndanusa, Ahmed Babalaji

“…In developing the proposed framework, the spatial images were geometrically and radiometrically corrected with the aid of Quantum Geographic Information System (QGIS). …”
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Application of Geographic Information System in seismic hazard assessment for the Central Alborz, Iran by Mousavi, Seyed Ramzan

“…The cell- based source model proposed in this study provides a framework for implementing many geographically referenced seismotectonic factors in to seismic hazard modeling. …”
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Wifi-based location-independent human activity recognition and localization using deep learning by Abuhoureyah, Fahd Saad Amed

“…This work addresses the inherent challenges in WiFi-based Human Activity Recognition (HAR) by focusing specifically on critical aspects: the location dependency of WiFi sensing and the impact of multi-user interactions on signal reliability. …”
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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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Engaging in social interaction: relationships between the accessibility of path structure and intensity of passive social interaction in urban parks by Tahroodi, Faezeh Mohammadi, Ujang, Norsidah

“…As a result, it will give urban park users more information about the activities. Allowing people to use the paths will increase people’s presence and, subsequently, passive social interaction. …”
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Identification of cultural properties of Arab District, Erbil, Iraq by Akram, Omar Khasro

“…Narrow streets with high spatial enclosure, promotes a higher social interaction. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

“…As a response towards the limitations of time window technique and the offline preprocessing methods, a framework for stream clustering of trajectories based on temporal micro clustering technique (SCT-TMC) is proposed. …”
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