Location Awareness/Cognition
Systems that sense where people and things are, and reason about what that means in context.
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Identifying pareto fronts reliably using a multistage reference-vector-based framework
K Deb, CL do Val Lopes, FVC Martins, EF Wanner. Cited by 17
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Hyperbolic representation learning: Revisiting and advancing
M Yang, M Zhou, R Ying, Y Chen, I King. Cited by 47
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Apples vs. Oranges: The QoE Scenario in Consumer IoT Services
T Rahman, D Pal, S Funilkul, N Photikit. Cited by 1
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Breaking hardware boundaries of IoT devices via inverse feature completion
Y Gao, YS Ong, M Gong, F Jiang, Y Zhang, S Wang. Cited by 2
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Emerging Paradigm of IoT Enabled Smart Villages
R Rohan, D Pal, B Watanapa, S Funilkul. Cited by 8
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Adaptive transfer kernel learning for transfer gaussian process regression
P Wei, Y Ke, YS Ong, Z Ma. Cited by 15
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Word2pix: Word to pixel cross-attention transformer in visual grounding
H Zhao, JT Zhou, YS Ong. Cited by 36
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CAN-PINN: A fast physics-informed neural network based on coupled-automatic–numerical differentiation method
PH Chiu, JC Wong, C Ooi, MH Dao, YS Ong. Cited by 370
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Location Awareness/Cognition
Systems that sense where people and things are, and reason about what that means in context.
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Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks
C Chen, H Yang, I King, MRT Lyu. Cited by 575
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Student Perspectives on Changing Requirements for Human Factors Engineering Education
BY Zhang, EM Rantanen, M Chignell. Cited by 1
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Modulating scalable Gaussian processes for expressive statistical learning
H Liu, YS Ong, X Jiang, X Wang. Cited by 7