Mapping of city growth with socio-economic growth data by Mun, Cassandra Ji Kay

“…In this study, the reported Capital Stock data of physical structures as the selected indicator of exposed assets is downscaled from a national level to a 1km by 1km grid resolution using three different indicators (i) Population, (ii) Land Cover and (iii) Road Network Density. …”
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Practical attribute reconstruction attack against federated learning by Chen, Chen, Lyu, Lingjuan, Yu, Han, Chen, Gang

“…Existing federated learning (FL) designs have been shown to exhibit vulnerabilities which can be exploited by adversaries to compromise data privacy. …”
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Federated learning for natural language processing in medical domain by Saraf, Ishita

“…Federated Learning (FL) is a convincing solution to overcome the issues regarding confidentiality of training data and constraints imposed by inadequate data in specific domains. …”
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Use of mobile phone data for determining multimodal traffic by Prawirodidjojo, Eric Valega

“…This project proposes using an aggregated mobile phone tracking data to analyse movement patterns to and from La Défense, which does not contain any personal detail yet provide sufficient granularity to understand movement patterns over time on a given day. …”
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Quantifying the Severity of a Cybersecurity Incident for Incident Reporting by Conard, Chelsea Foushee

“…This paper introduces the Cyber Incident Severity Scale (CISS), a framework designed to guide the selection of relevant data for analysis and communicate the severity of a cybersecurity incident. …”
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Learning to generalize to new tasks/domains with limited data by Peng, Danni

“…To address this issue, some works propose to use interpolation between source data to cover the unseen region within the convex hull of the source domains. …”
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BadSFL: backdoor attack in scaffold federated learning by Zhang, Xuanye

“…Federated learning (FL) enables the training of deep learning models on distributed clients aiming at the preservation of data privacy. …”
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Using social media data for urban analysis in Singapore by Koh, Wee Boon

“…A revised land use plan is released by the URA every four to five years with the goal to create self-sufficient neighbourhoods and reduce commute time between places. …”
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Investigation of severity of head impact in fall due to collisions by Chua, Yih Fan

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Hodge theory and its applications to molecular data analysis by Koh, Ronald Joon Wei

“…The HodgeRank algorithm was previously used to rank imcomplete or imbalanced data from several e-commerce sites and movies from Netflix. …”
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Spatiotemporal analysis of agricultural drought severity and hotspots in Somaliland by Omar, Abdillahi Osman, Alasow, Ahmed Abdiaziz, Farah, Abdiweli Ali, Shahid, Shamsuddin

“…This study uses remote sensing data from 2005 to 2023 to analyze the spatiotemporal pattern of agricultural drought severity and hotspots in Somaliland. …”
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Multiple centers based fuzzy clustering for imbalanced data by Liao, Hongda

“…Clustering for data mining is a useful technique in terms of identifying interesting distributions and discovering groups in the underlying data. …”
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15.060 Data, Models, and Decisions, Fall 2002 by Freund, Robert Michael, Wang, Yashan, Bertsimas, Dimitris

“…Introduces students to the basic tools in using data to make informed management decisions. Covers introductory probability, decision analysis, basic statistics, regression, simulation, linear and nonlinear optimization, and discrete optimization. …”
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Data integration and visualization of air quality in urban environment by Sowinski-Mydlarz, Viktor, Vassilev, Vassil, Gasiorowski, Pawel

“…Air quality visualization importance cannot be overestimated for several reasons, ranging from public health and environmental awareness to policy-making and urban planning. …”
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Data driven air pollutant concentration forecast system by Ong, Li Xuan

“…This project focuses on developing an appropriate data-driven air pollutant concentration forecasting system where it will be considering most of the essential air pollutants, aiming to provide reliable predictions of air quality health index levels by categorising them into different health risk categories over specific time periods and stations such as Shatin, Causeway Bay and Mong Kok. …”
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Perennial semantic data terms of use for decentralized web by Zhao, R, Zhao, J

“…Decentralized Web architectures, such as Solid, offer a promising solution by empowering users with better control over their data in their personal ‘Pods’. However, a significant challenge remains: users must navigate numerous applications to decide which application can be trusted with access to their data Pods. …”

Extreme learning machine for classification and clustering on multiview data by Chen, Jichao

“…Many real-world applications deal with data that have multiple feature sets. Such data is called multiview data, where each feature set is considered as a view. …”
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Physics-informed machine learning for green data center operations by Wang, Ruihang

“…The data center (DC) industry is rapidly growing in recent years to meet the ever-increasing cloud computing and storage demands. …”
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Federated learning-powered visual object detection for safety monitoring by Liu, Yang, Huang, Anbu, Luo, Yun, Huang, He, Liu, Youzhi, Chen, Yuanyuan, Feng, Lican, Chen, Tianjian, Yu, Han, Yang, Qiang

“…Federated learning (FL) is a promising machine learning paradigm to address these challenges. …”
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Securing federated learning: a covert communication-based approach by Xie, Yuan-Ai, Kang, Jiawen, Niyato, Dusit, Nguyen, Thi Thanh Van, Nguyen, Cong Luong, Liu, Zhixin, Yu, Han

“…Federated Learning Networks (FLNs) have been envisaged as a promising paradigm to collaboratively train models among mobile devices without exposing their local privacy data. …”
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