The progressing global digitalization is driving innovative network technologies, computation platforms, and data-driven services. The number of components such as sensors, actuators, computing, storage, and network nodes, as well as a variety of service applications increases a…
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Healthcare analytics has attracted increasing research interests as electronic health records (EHR) and medical image data have skyrocketed over the past decade [1]. EHR and lab reports contain rich text, visual, and time series information such as a patient’s medical and diagno…
The application of big data analytics on data and any information collected, enables mobile operators to profile customers, depending on the historical and real time habits at certain locations and times. The results generated of big data analytics and carried by mobile operator…
Pipeline operators continuously seek to improve reliability, safety and reduce corrosion and maintenance costs. Cathodic protection (CP) systems is a secondary external corrosion-prevention mechanism for underground pipelines. Two types of CP exist, namely, sacrificial anode CP …
Scenarios exist in the era of Big Data where computational analysis needs to utilize widely distributed and remote compute clusters, especially when the data sources are sensitive or extremely large, and thus unable to move. A large dataset in Malaysia could be ecologically sens…
Diabetes is a long term condition that causes high levels of blood glucose, and it is necessary to get a complete picture of glucose levels which can lead to better treatment decision and better glucose control. The advent of Continuous Glucose Monitoring (CGM) is helping resear…
This thesis utilizes UV-visible spectroscopy to develop new datasets, study Arctic and urban atmospheric composition, and validate satellite data products. The primary instruments used here (the Ground-Based Spectrometers, or GBSs) have been taking measurements at the Polar Envi…
The study was aimed at extracting essential oils from Callistemon citrinus and Cymbopogon citratus, performing extensive characterisation of the extracted oils and investigating their antimicrobial effects against a batch of pathogens. These two plants are commercially known as …
Data assimilation in subsurface systems is challenging due to the large number of flow simulations often required, and by the need to preserve geological realism in the calibrated (posterior) models. In this work we present a deep-learning-based surrogate-modeling framework, ref…