Anomaly-aware summary statistic from data batches by Grosso, G.

“…We propose to perform parallel NPLM routines over batches of the data, and to combine them by locally aggregating over the data-to-reference density ratios learnt by each batch. …”
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Evaluation and Analysis of Next-Generation FY-4A LPW Products over Various Climatic Regions in China by Zhang, Wenyuan, Xiao, Xinyu, Peng, Jinsong, Zhang, Shubi, Shehaj, Endrit, Moeller, Gregor

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Attention and positive sentiments towards carbon dioxide removal have grown on social media over the past decade by Repke, T, Müller-Hansen, F, Cox, E, Minx, JC

“…Our results complement survey studies by showing how awareness grows and perceptions change over time.…”

Attention and positive sentiments towards carbon dioxide removal have grown on social media over the past decade by Repke, T, Müller-Hansen, F, Minx, JC, Cox, E

“…Our results complement survey studies by showing how awareness grows and perceptions change over time.</p>…”

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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Influence of land-surface and turbulent parameterization schemes on regional-scale boundary layer characteristics over northern India by Panda, Jagabandhu, Sharan, Maithili

“…The model predicted surface temperatures, wind speeds, potential temperature profiles and wind speed profiles are compared with the observations from India Meteorological Department and Wyoming Weather Web data archive. The qualitative and quantitative analyses indicate that the model predictions are relatively better over three north Indian cities namely Delhi, Ahmedabad and Jodhpur when the Mellor–Yamada–Janjic boundary layer scheme along with Noah land-surface model is used. …”
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Autonomous learning machine on online big data analytics by Lim, Yan Jun

“…Nevertheless, most of existing works are offline in nature, because it expects full access of complete dataset and enable a machine learning algorithm to achieve multiple passes over all data. In this project, an online parallelization technique is developed, with integration of an Autonomous Learning Machine (ALMA). …”
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Asynchronous self-triggered stochastic distributed MPC for cooperative vehicle platooning over vehicular ad-hoc networks by Chen, Jicheng, Wei, Henglai, Zhang, Hui, Shi, Yang

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Scalable data dissemination protocol for wireless sensor networks by Lu, Haifeng, Foh, Chuan Heng, Cai, Jianfei

“…The results confirm that our solution offers not only efficient and reliable all-to-all data dissemination over lossy wireless links, but also scalability to large networks.…”
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Design analysis of data links in 2.5 dics by Visamangalam Thattai Lakshminarayanan

“…In this project, non conventional transmission line structures are proposed to improve the layout density of wide 10 high speed data links. The configurations are modelled and characterized using full wave 3D Electromagnetic field simulator. …”
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Analysis of TEM data using machine learning methods by Muhammed Imran Khairul Alam

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Data-driven integrated approach to airport demand management by Cheung, Wai Lun

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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. …”

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

“…Hence, extensive and quality data on the trends of city growth are crucial for the development of effective urban plans and introduction of appropriate risk mitigation measures. …”
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Differentially private deep learning for time series data by Dwitami, Inggriany

“…For this experimental purposes, time series data is chosen over its image counterpart due to the fact that it is less computationally heavy. …”
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Visual analytics for massive urban public transport data by Zeng, Wei

“…To get over these challenges, visual analytics show great potential as they can make the way of processing public transport data transparent: Visual analytics can provide interactive means for transport researchers to examine the actual processes of analyzing data instead of just the results. …”
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Nationwide spatial epidemiological dataset of over 100,000 influenza-like illness notifications in Iran by county (2015–2019) by Sedghian, A, MohammadEbrahimi, S, Sartorius, B, Kiani, B

5G mobile wireless access and digital channeling with RF over fiber for long-haul 64-QAM communication by Al Noor, Mazin, Virdee, Bal Singh, Ouazzane, Karim, Mariyanayagam, Dion, Benetatos, Harry, Hubenova, Svetla

“…This paper presents the experimental results of a novel radio-over-fiber (RFoF) architecture that is capable of transmitting data at 20 Gb/s over a 600 km fiber. …”
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Encoding and decoding of serially concatenated codes for data storage systems by Yin, Ke.

“…In this project, we consider the application of serially concatenated codes (SCC) for data storage systems. The SCC typically consists of an outer code and an inner code. …”
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