While Artificial Intelligence (AI), especially Deep Learning (DL), shows potential in intrusion detection, current approaches often encounter obstacles such as insufficient datasets, challenges in ...

This project focuses only on data preprocessing, which is an essential step before applying any machine learning model. The main tasks I performed include handling missing values using methods like ...

Abstract: Recently, Li et al. proposed an identity-based linearly homomorphic network coding signature (IB-HNCS) scheme for secure data delivery in Internet of Things (IoT) networks, and they claimed ...

The NHS' much-vaunted GP data-sharing initiative looks to be on a prolonged hiatus, with at least one report suggesting it has been hit by 1.2 million people choosing to opt out of the scheme in ...

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The Delhi government is planning to create a first-of-its-kind ‘Unified Data Hub (UDH)’, which will consolidate data from various departments, to ensure only eligible people avail of the benefits of ...

The Cancer Genome Atlas (TCGA) provides comprehensive genomic data across various cancer types. However, complex file naming conventions and the necessity of linking disparate data types to individual ...

In 2008 The Pensions Regulator published a record-keeping guide, in the hope to motivate pension schemes to initially review their data and come up with a basic plan to address issues around so-called ...