Showing 1 - 20 results of 55 for search '"shopping mall"', query time: 0.06s Refine Results
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    Le shopping mall comme moment urbain by Laure Assaf

    Published 2017-12-01
    “…Since the 2000s, the introduction of shopping malls in the United Arab Emirates has been contributing to new urban development trends, whose objective is to implement economic diversification and turn the Emirati city into a global destination. …”
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    Development of an E-Commerce Chatbot for a University Shopping Mall by Victoria Oguntosin, Ayobami Olomo

    Published 2021-01-01
    “…The e-commerce chatbot application for Covenant University Shopping Mall (CUSM) seeks to provide an easy, smart, and comfortable shopping experience for the Covenant University Community.…”
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    Elementos para refletir sobre a policentralidade e a fragmentação urbana em cidades médias – Resende e Volta Redonda (RJ) by Eliane Melara, William Ribeiro da Silva

    Published 2018-12-01
    “…The urban restructuring in Resende and Volta Redonda has led to processes of redefinition of the centrality and alteration of space practices, with the distinguished presence of shopping malls, closed condominiums and walled allotments, configuring them as polycentric and fragmented cities. …”
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    Device-independent Wi-Fi fingerprinting indoor localization model based on domain adaptation by Zenghua ZHAO, Yuefan TONG, Jiayang CUI

    Published 2022-04-01
    “…In real-world large-scale deployments of indoor localization, Wi-Fi fingerprinting approaches suffer from device diversity problem which impacts the localization accuracy significantly.A device-independent Wi-Fi fingerprint indoor localization model DeviceTransfer was proposed.Based on the domain adaptation theory of deep learning, the device type of the smartphone was taken as the domain, the task-related and device-independent Wi-Fi data features were extracted through adversarial training, and the learned source domain location information was transferred to the target domain.Pre-training and joint training were employed to improve model training stability and to accelerate convergence.The performance of DeviceTransfer was evaluated using four types of smartphones in two real-world indoor environments: a school building and a shopping mall.The experimental results show that DeviceTransfer effectively extracts device-independent Wi-Fi fingerprint features.Using only one type of phone to collect Wi-Fi fingerprints, online localization using other types still achieves high localization accuracy, thus reducing localization cost significantly.…”
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    Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment by Mohammadamin Nikmanesh, Michael E. Cinelli, Daniel S. Marigold

    Published 2025-01-01
    “…Abstract Busy walking paths, like in a park, city centre, or shopping mall, frequently necessitate collision avoidance behaviour. …”
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