Amna Anwar

Amna Anwar
  • Doctor of Philosophy
  • PhD Student at Nottingham Trent University

About

13
Publications
43,107
Reads
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25
Citations
Introduction
Currently enrolled on a PhD in Pervasive Computing and Data Science at Nottingham Trent University, researching the methods and algorithms relating to high street analysis for smart cities.
Current institution
Nottingham Trent University
Current position
  • PhD Student
Education
September 2016 - June 2019
Nottingham Trent University
Field of study
  • Computing

Publications

Publications (13)
Article
Full-text available
The devastating effects of climate change and human activity on the planet’s biodiversity have led to a mass extinction event, which is when species vanish much faster than they are replaced. This is defined as about 75 percent of the world’s species being lost in a short period of geological time—less than 2.8 million years [1]. The Eden Portland...
Chapter
Mobile devices are ubiquitous for users in everyday life, often with individuals throughout their daily routine. The widespread use of mobile devices allows novel technologies to be designed to improve personal security and safety. The research presented in this paper provides additional functionality through pervasive sensors on mobile devices, ma...
Poster
Full-text available
Our work focuses on using tinyML for detecting violent language on edge devices, such as mobile phones and wearables, in the context of preventing domestic violence. Our multimodal algorithm uses natural language processing (NLP) and audio processing to detect violent conversation from short audio-text segments. The algorithm is converted to a tiny...
Conference Paper
Full-text available
Mobile devices are nearly ubiquitous for users in everyday life, often being with individuals throughout their daily routine, including use during work, social, and home activities. The widespread use of mobile devices allows novel technologies to be designed to improve personal security and safety. Existing solutions in this area include applicati...
Preprint
Full-text available
Natural Language Processing has recently made understanding human interaction easier, leading to improved sentimental analysis and behaviour prediction. However, the choice of words and vocal cues in conversations presents an underexplored rich source of natural language data for personal safety and crime prevention. When accompanied by audio analy...
Conference Paper
Full-text available
Emerging technological innovations have been developed in recent years to prevent crime and enhance public safety. This paper evaluates the recent advances in ubiquitous sensing and pervasive computing to ultimately propose a multimodal crime prevention tool that incorporates several technologies into a single wearable device. The crime prevention...
Conference Paper
Full-text available
Maintaining social distancing in public spaces plays a pivotal role in decreasing COVID-19 contagion and viral spread. COVID-19 has required many countries around the world to close work places, schools and public spaces. This has prompted policy makers, venue managers and local authorities to investigate practical mitigation strategies using techn...
Preprint
Full-text available
Maintaining social distancing in public spaces plays a pivotal role in decreasing COVID-19 contagion and viral spread. COVID-19 has required many countries around the world to close work places, schools and public spaces. This has prompted policy makers, venue managers and local authorities to investigate practical mitigation strategies using techn...
Preprint
Full-text available
Criminal activity is a prevalent issue in contemporary culture and society, with most nations facing unacceptable levels of crime. Technological innovation has been one of the main driving forces leading to the continuous improvement of crime control and crime prevention strategies (e.g. GPS tracking and tagging, video surveillance, etc.). Given th...
Conference Paper
Emerging technological innovations have been developed in recent years to prevent crime and enhance public safety. This paper evaluates the recent advances in ubiquitous sensing and pervasive computing to ultimately propose a multimodal crime prevention tool which incorporates several technologies into a single wearable device. The crime prevention...
Conference Paper
The novel coronavirus, designated by the World Health Organization as COVID-19 has required many countries around the world to close work spaces, schools and public venues. This has required policy makers and venue managers to investigate practical mitiga-tion strategies using technology to exit the lockdown safely and enable the reopening of publi...

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