Search Results - spatial information learning interaction framework

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

“…Keywords: EEG, BCI, SSVEP, CSP, SVM, Machine Learning…”
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Immersive Technologies in Museums: A Scoping Review of Cognitive Outcomes Related to Visitor Attention, Engagement, and Learning by Lee, Jun Choi, Piao, GuiCheng, Rehman Ullah, Khan

“…The integration of immersive technologies—such as virtual reality (VR), augmented reality (AR), and mixed reality (MR)—has transformed the landscape of museum experiences from passive observation to interactive, visitor-centered engagement. This scoping review systematically maps the literature on the cognitive impacts of immersive technologies in museum settings, with a focus on attention, engagement, and learning outcomes. …”
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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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Smile detection using hybrid face representation by Arigbabu, Olasimbo Ayodeji, Mahmood, Saif, Syed Ahmad Abdul Rahman, Sharifah Mumtazah, Arigbabu, Abayomi A.

“…Finally, kernel based classifiers such as support vector machine and kernel extreme learning machine are utilized for performing classification. …”
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Using ITERS-R in assessing ECCE quality environment: a case study at two selected child care centres in Kuala Lumpur, Malaysia by Badzis, Mastura, Adnan, Nun Amirah

“…Notable strengths included language interactions and spatial arrangements. However, significant shortcomings were identified in hygiene practices, caregiver consistency, and inclusivity. …”
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Framework for stream clustering of trajectories based on temporal micro clustering technique by Abdulrazzaq, Musaab Riyadh

“…The minimum description length is an important concept in information theory and computational learning in which the best hypothesis for a given data set is the one that leads to the best compression of the data. …”
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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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