Kamran Razzaq

Kamran Razzaq
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Kamran verified their affiliation via an institutional email.
Verified
Kamran verified their affiliation via an institutional email.
  • PhD
  • Associate Lecturer at Northumbria University

About

5
Publications
537
Reads
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40
Citations
Current institution
Northumbria University
Current position
  • Associate Lecturer

Publications

Publications (5)
Article
Full-text available
Implementing machine learning is imperative for enhancing advanced cybersecurity practices globally. The current cybersecurity landscape needs further investigation into the potential impasse. This scientometric study aims to comprehensively analyse the study patterns and key contributions at the nexus of cybersecurity and machine learning. The ana...
Article
Full-text available
Machine learning (ML) and deep learning (DL), subsets of artificial intelligence (AI), are the core technologies that lead significant transformation and innovation in various industries by integrating AI-driven solutions. Understanding ML and DL is essential to logically analyse the applicability of ML and DL and identify their effectiveness in di...
Article
Full-text available
The Internet of Medical Things (IoMT) plays a vital role with modern technologies and created a wide range of opportunities in numerous industries especially in the medical field. The opportunities not only last from patient empowerment, medical education and training, remote monitoring as well as healthcare collaboration along with customized trea...
Article
Full-text available
Purpose-This study investigates the relationship between corporate social responsibility (CSR) and financial performance of the banking sector from the prospective of emerging countries. Design/methodology/approach-This study obtained balance sheet and income statement data for 173 banks in 20 emerging countries from the Bankscope database from 200...
Article
Full-text available
In this study, we examine the long-run effect of environmental-related technological innovation, institutional quality, trade openness, energy consumption, and economic growth on C O 2 emissions in APEC countries from 2004 to 2018. Firstly, panel unit root tests were used to explore the stationarity of each data series. The panel unit root test fin...

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