On gridless sparse methods for line spectral estimation from complete and incomplete data by Yang, Zai, Xie, Lihua

“…We present a gridless version of SPICE (gridless SPICE, or GLS), which is applicable to both complete and incomplete data without the knowledge of noise level. We further prove the equivalence between GLS and atomic norm-based techniques under different assumptions of noise. …”
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Cloud Spark Cluster to analyse English prescription big data for NHS intelligence by Fernando, Sandra, Sowinski-Mydlarz, Viktor, Virdee, Bal Singh

“…Even though Spark is a complete in-memory framework, although limited with its big data platforms facilities compared to Hadoop, Spark analytics engine with Ha-doop distributed file system gives better throughput than Hadoop alone. …”
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Network analysis and data science for finance: from traditional markets to decentralised exchanges by Miori, D

“…Lastly, we analyse data on liquidity provision, consumption, and price formation on competing decentralised exchange venues, to find a model for the prediction of incoming trading volume at block-level.…”

Data driven and learning based approaches for integrated landside airside operations optimization by Ali, Hasnain

“…The objective of this thesis is to develop novel methods and approaches, using airside surface movement data, for making airside operations efficient under uncertainty. …”
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Severe malarial thrombocytopenia : a risk factor for mortality in Papua, Indonesia by Lampah, Daniel A., Yeo, Tsin W., Malloy, Michael, Kenangalem, Enny, Douglas, Nicholas M., Ronaldo, Donny, Sugiarto, Paulus, Simpson, Julie A., Poespoprodjo, Jeanne Rini, Anstey, Nicholas M., Price, Ric N.

“…In total, 1.3% of patients (2701 of 215 479) died. Patients with severe malarial anemia alone (hemoglobin level, <5 g/dL) had an adjusted OR for death of 4.93 (95% CI, 3.79–6.42), those with severe malarial thrombocytopenia alone had an adjusted OR of 2.77 (95% CI, 2.20–3.48), and those with both risk factors had an adjusted OR of 13.76 (95% CI, 10.22–18.54; P < .001). …”
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Complex Queries in a Shared Multi User Relational Cloud Database by Sidorov, Vasily, Ng, Wee Keong

“…Several dedicated proxy servers in between the user and the database server help to achieve this and make it all transparent for the user. …”
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Intelligent network design driven by big data analytics, IoT, AI and cloud computing by Kumar, Sunil, Mapp, Glenford, Cengiz, Korhan

“…From big data and AI analytical techniques for handling the huge amount of data generated by IoT devices, the authors cover cloud storage optimization, the design of next generation access protocols and internet architecture, fault tolerance and reliability in intelligent networks, and discuss a range of emerging applications. …”
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Data analysis & one-day prediction of SO2 and PM10 pollutants in Singapore by Teo, Aaron Bao Long

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Infectious diseases prevention and control using an integrated health big data system in China by Zhou, Xudong, Lee, Edmund Wei Jian, Wang, Xiaomin, Lin, Leesa, Xuan, Ziming, Wu, Dan, Lin, Hongbo, Shen, Peng

“…Background: The Yinzhou Center for Disease Prevention and Control (CDC) in China implemented an integrated health big data platform (IHBDP) that pooled health data from healthcare providers to combat the spread of infectious diseases, such as dengue fever and pulmonary tuberculosis (TB), and to identify gaps in vaccination uptake among migrant children. …”
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PubMed text data mining automation for biological validation on lists of genes and pathways by Nies, Hui Wen, Zakaria, Zalmiyah, Chan, Weng Howe, Kamsani, Izyan Izzati, Hasan, Nor Shahida

“…Cancer markers can be determined by manually testing every gene or pathway in the wet lab or using the text mining automation method. …”
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Linux web server development by Chanjaya, Dhea Mariesta

“…The objective of this project was to build a web application that would be hosted in a Linux operating system as a web server for internal data monitoring use. This data visualisation tool is important to alert engineers when anomalies in readings occur. …”
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Optimization strategies for federated learning by Zhang, Tinghao

“…Additionally, FL can improve the speed of model training as it allows for parallel training on multiple local devices without transferring large volumes of data to a central server. However, the practical deployment of FL faces challenges due to the limited bandwidth resources of remote servers and the constrained computational capabilities of wireless devices. …”
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Multi-level robot management by Ling, Ngee Hung

“…An evaluation then covers the overall performance of the final product in the form of a numerical analysis on the performance and its capabilities. …”
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Data collection and analysis for air pollutants (NO2,PM2.5) in Hong Kong by Hui, Benedict Chung Wah

“…Using Phyton programming to extract data from the Environmental Protection Department website, a database will be created for the PM2.5 and NO2 emission levels. …”
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Generation of corrosion data for industrial plant prediction using salt spray corrosion tests by Sukumar Jana., Teoh, Lean Lee.

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Heterogeneities in stochastic production frontier models with application to world health organization’s panel data. by Sun, Gongshi., Wang, Yi.

“…Through the analysis of World Health Organization’s panel data set on health system performance and comparison of results against several previous researches, this study suggests strong evidence that inefficiency should be modeled as time variant and time variation is correlated with heterogeneity.…”
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Financial centre primacy around the world: international analysis based on mergers and acquisitions data by Wojcik, D, Keenan, L, Pazitka, V, Urban, M, Wu, W

Evolving fuzzy ensemble : online learning fuzzy neural network with dynamically changing data by Soo, Wei Quan

“…The aim of this project is to implement the concept of the Bienenstock- Cooper Munro (BCM) theory on evolving fuzzy ensemble (eFE), which is error-driven progressively adapted computational structure that is defined by a set of highly transparent Mamdani fuzzy rules, and to experiment and benchmark the performance and accuracy of the network with the other several networks. Through implementation of BCM theory, the problem can resolve by incorporating synaptic potentiation (association or Hebbian) and depression (dissociation or Anti-Hebbian) which is useful for time-variant data computations. …”
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Environmental and human data-driven model based on machine learning for prediction of human comfort by Mao, Fubing, Zhou, Xin, Song, Ying

“…To address the challenges, we use Blood Pulse Wave (BPW) as an objective comfort index and adopt a data-driven approach to predict human comfort level based on data including both environmental factors and human factors. …”
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A hierarchical cooperation formation model for downlink data transmission in mobile infostation networks by Li, Yifan, Wang, Ping, Niyato, Dusit, Han, Zhu

“…More interestingly, jointly taking both levels of cooperation (i.e., among infostations and among mobile users) into account may achieve even better improvement, which inspires us to propose a hierarchical cooperation formation model to analyze and analyze the two-level cooperation in mobile infostation networks. …”
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