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Learning Collective Care To Support Young Climate Justice Advocates, Kylie Wrigley, Georgia Beardman, Jaime Yallup Farrant, Naomi Joy Godden, Caleb Faulkner Hill, Emma Heyink, Eva Carot Collins, Hannah Davies, Shelby Robinson Jan 2024

Learning Collective Care To Support Young Climate Justice Advocates, Kylie Wrigley, Georgia Beardman, Jaime Yallup Farrant, Naomi Joy Godden, Caleb Faulkner Hill, Emma Heyink, Eva Carot Collins, Hannah Davies, Shelby Robinson

Research outputs 2022 to 2026

Young people mitigate their climate distress, develop their efficacy, and contribute to the effectiveness of climate movements through activism. However, they are often excluded from adult-led climate movements and exposed to a number of risks when they do participate. In this context, this participatory action research study draws on multiple care theories to offer collective care praxis through which adults and young people might co-create more care-full and safe climate justice movements capable of supporting, sustaining, and sharing power with young people. The study examines how 13 young and three adult co-researchers learned about and applied collective care through a …


The Value Of Work For Doctors In Pakistan: Towards A Framework For Ensuring Decent Work, Abid Hussain, Esme Franken, Tim Bentley, Uma Jogulu Jan 2024

The Value Of Work For Doctors In Pakistan: Towards A Framework For Ensuring Decent Work, Abid Hussain, Esme Franken, Tim Bentley, Uma Jogulu

Research outputs 2022 to 2026

The critical frontline work of doctors in Pakistan was overlooked and undervalued by the government, hospitals, and the public during the COVID-19 pandemic. Media reports and studies highlight that public sector doctors in Pakistan facing new societal, professional, and organisational challenges, compunding to the inherent demands of workpotentially leading to its undervaluation. This study, explores how the work of doctors is (under)valued in Pakistan’s public sector hospitals, and how this aligns to the underpinnings of decent work. 27 semi structured in-depth interviews were conducted with doctors in Pakistan’s public sector hospitals. We found that serving others, recognition and appreciation, and …


Achieving Covert Communication With A Probabilistic Jamming Strategy, Xun Chen, Fujun Gao, Min Qiu, Jia Zhang, Feng Shu, Shihao Yan Jan 2024

Achieving Covert Communication With A Probabilistic Jamming Strategy, Xun Chen, Fujun Gao, Min Qiu, Jia Zhang, Feng Shu, Shihao Yan

Research outputs 2022 to 2026

In this work, we consider a covert communication scenario, where a transmitter Alice communicates to a receiver Bob with the aid of a probabilistic and uninformed jammer against an adversary warden's detection. The transmission status and power of the jammer are random and follow some priori probabilities. We first analyze the warden's detection performance as a function of the jammer's transmission probability, transmit power distribution, and Alice's transmit power. We then maximize the covert throughput from Alice to Bob subject to a covertness constraint, by designing the covert communication strategies from three different perspectives: Alice's perspective, the jammer's perspective, and …


Twin Scholarships Of Glycomedicine And Precision Medicine In Times Of Single-Cell Multiomics, Seungyoul Oh, Weijie Cao, Manshu Song Jan 2024

Twin Scholarships Of Glycomedicine And Precision Medicine In Times Of Single-Cell Multiomics, Seungyoul Oh, Weijie Cao, Manshu Song

Research outputs 2022 to 2026

Systems biology and multiomics research expand the prospects of planetary health innovations. In this context, this mini-review unpacks the twin scholarships of glycomedicine and precision medicine in the current era of single-cell multiomics. A significant growth in glycan research has been observed over the past decade, unveiling and establishing co- and post-translational modifications as dynamic indicators of both pathological and physiological conditions. Systems biology technologies have enabled large-scale and high-throughput glycoprofiling and access to data-intensive biological repositories for global research. These advancements have established glycans as a pivotal third code of life, alongside nucleic acids and amino acids. However, challenges …


A Cross-Cultural Study Of The Montreal Cognitive Assessment For People With Hearing Impairment, Stacey Theocharous, Greg Savage, Anna Pavlina Charalambous, Mathieu Côté, Renaud David, Kathleen Gallant, Catherine Helmer, Robert Laforce, Iracema Leroi, Ralph N. Martins, Ziad Nasreddine, Antonis Politis, David Reeves, Gregor Russell, Marie Josée Sirois, Hamid R. Sohrabi, Chyrssoula Thodi, Christiane Völter, Wai Kent Yeung, Piers Dawes Jan 2024

A Cross-Cultural Study Of The Montreal Cognitive Assessment For People With Hearing Impairment, Stacey Theocharous, Greg Savage, Anna Pavlina Charalambous, Mathieu Côté, Renaud David, Kathleen Gallant, Catherine Helmer, Robert Laforce, Iracema Leroi, Ralph N. Martins, Ziad Nasreddine, Antonis Politis, David Reeves, Gregor Russell, Marie Josée Sirois, Hamid R. Sohrabi, Chyrssoula Thodi, Christiane Völter, Wai Kent Yeung, Piers Dawes

Research outputs 2022 to 2026

Background: Cognitive screening tools enable the detection of cognitive impairment, facilitate timely intervention, inform clinical care, and allow long-term planning. The Montreal Cognitive Assessment for people with hearing impairment (MoCA-H) was developed as a reliable cognitive screening tool for people with hearing loss. Using the same methodology across four languages, this study examined whether cultural or linguistic factors affect the performance of the MoCA-H. Methods: The current study investigated the performance of the MoCA-H across English, German, French, and Greek language groups (n = 385) controlling for demographic factors known to affect the performance of the MoCA-H. Results: In a …


Assessing The Impact Of Geochemical Mechanism And Interpolation Factor Selection On The Precision Of Low-Salinity Waterflooding Modelling: A Comparative Study, Malek Jalilian, Sedigheh Mahdavi, Peyman Pourafshary, Zheinjiang You, Amir H. Mohammadi Jan 2024

Assessing The Impact Of Geochemical Mechanism And Interpolation Factor Selection On The Precision Of Low-Salinity Waterflooding Modelling: A Comparative Study, Malek Jalilian, Sedigheh Mahdavi, Peyman Pourafshary, Zheinjiang You, Amir H. Mohammadi

Research outputs 2022 to 2026

The efficacy of low salinity waterflooding (LSWF) as an enhanced oil recovery (EOR) method in carbonate formations has been well established; however, its geochemical modelling in such reservoirs remains insufficiently explored. This study aims to bridge this gap by conducting a comparative analysis of three well-recognised geochemical mechanisms including fines migration, rock dissolution/precipitation, and multi-ion exchange (MIE). Our research encompasses two parts: experimental and modelling. First, we conducted four coreflooding experiments to study the effect of LSWF on oil recovery in core scale as well as on rock wettability by measuring the contact angle of the crude oil-brine-rock system. In …


Board Responsibility And Corporate Finance, Ahmad Saiful Azlin Puteh Salin, Zubaidah Ismail, Malcolm Smith Jan 2024

Board Responsibility And Corporate Finance, Ahmad Saiful Azlin Puteh Salin, Zubaidah Ismail, Malcolm Smith

Research outputs 2022 to 2026

The purpose of this study is to examine the relationship between board responsibility and the performance of the company. It is the ultimate responsibility of the board to properly discharge their duty as stipulated by the laws and prohibit any unnecessary actions and decisions that are detrimental to the company (Salin, Ismail, et al., 2019). Board responsibility in this study is proxied by having a clear board function, formation of sustainability policy, directors’ access to information and existence of a board charter. This study uses archival analysis of the annual report of the top 500 publicly listed companies in Malaysia …


Changing Overwork Culture: Stakeholder Management For Employee Wellbeing And Social Sustainability In Large Japanese Companies, Kazunori Kobayashi, Gabriel Eweje, David Tappin Jan 2024

Changing Overwork Culture: Stakeholder Management For Employee Wellbeing And Social Sustainability In Large Japanese Companies, Kazunori Kobayashi, Gabriel Eweje, David Tappin

Research outputs 2022 to 2026

Effectively addressing overwork culture in business remains a challenge, despite growing concerns about its negative impacts on employee wellbeing and productivity. This paper investigates corporate social responsibility (CSR) initiatives and stakeholder management promoted by large Japanese companies to address overwork culture. Based on interviews with managers and stakeholders from 31 companies, the study reveals that despite being part of CSR, overwork reduction initiatives often come into conflict with entrenched institutional pressures. These pressures are embedded in a cultural-cognitive and institutional context that prioritises quality and cooperation over individual productivity. We argue that improving stakeholder relationships is vital for developing a …


Corporate Governance And Firm Performance: Evidence From Political Instability, Political Ideology, And Corporate Governance Reforms In Pakistan, Irfan Haider Shakri, Jaime Yong, Erwei Xiang Jan 2024

Corporate Governance And Firm Performance: Evidence From Political Instability, Political Ideology, And Corporate Governance Reforms In Pakistan, Irfan Haider Shakri, Jaime Yong, Erwei Xiang

Research outputs 2022 to 2026

We examine impact of corporate governance on firm performance following the implementation of the changes to the Code of Corporate Governance of Pakistan in 2012. Our sample period from 2008 to 2022 include periods of political instability and shifts in Pakistan's political landscape, providing an opportunity to examine the effectiveness of corporate governance mechanisms in enhancing accounting- and market-based firm performance measures. We find significant improvements attributed to reforms in the regulatory framework surrounding corporate governance practices particularly from expanded scope and composition of boards and audit committees. This led to broader capabilities and effective controls, thus improving firm performance …


Developing An 'Eportfolio Of Evidence' Towards Employment And Registration For Early Childhood Teachers, Pauline Roberts, Leonie Menzel, Bev Adkin, Lennie Barblett Jan 2024

Developing An 'Eportfolio Of Evidence' Towards Employment And Registration For Early Childhood Teachers, Pauline Roberts, Leonie Menzel, Bev Adkin, Lennie Barblett

Research outputs 2022 to 2026

ePortfolios have been in use in Initial Teacher Education (ITE) courses for many years. The link to employability has been part of these initiatives, however, recent concerns over workforce and employment requires additional focus to ensure the ongoing sustainability of the ePortfolio. Ensuring teachers are 'classroom ready' led to increased pressure on pre-service teachers (PSTs) to demonstrate achievement of the Australian Professional Standards for Teachers (APST) (Australian Institute for Teaching and School Leadership, 2017). The goal of this project was to explore and influence PST's thinking towards the ePortfolio through changes in practice. The research entailed a rapid systematic review …


Developing International Guidance To Make Impact Assessment Follow-Up Happen–Reflections On An Interactive Design Process, Angus Morrison-Saunders, Jos Arts, Annette Nykiel, Bruce Muir, Richard Morgan, Patricia Fitzpatrick, Ciaran O’Faircheallaigh, Alberto Fonseca, Charlotta Faith-Ell, Ainhoa González, Jan Albert Wessels, Gesa Geißler, Luis Sánchez, Urmila Jha-Thakur, William Ross, John Glasson Jan 2024

Developing International Guidance To Make Impact Assessment Follow-Up Happen–Reflections On An Interactive Design Process, Angus Morrison-Saunders, Jos Arts, Annette Nykiel, Bruce Muir, Richard Morgan, Patricia Fitzpatrick, Ciaran O’Faircheallaigh, Alberto Fonseca, Charlotta Faith-Ell, Ainhoa González, Jan Albert Wessels, Gesa Geißler, Luis Sánchez, Urmila Jha-Thakur, William Ross, John Glasson

Research outputs 2022 to 2026

To advance impact assessment (IA) practice worldwide the International Association for Impact Assessment (IAIA) has long promoted and published a series of international best practice principles, including the recently revised best practice principles for IA follow-up. IA follow-up refers to any kind of undertaking that seeks to ‘understand the outcomes of projects or plans’ that have been subject to IA. To support the implementation of these principles worldwide, a global guidance document has been developed (published by IAIA in 2024). The aims of this paper are to report on the approach undertaken to this guidance, applying a Delphi method, and …


Managing Human-Ai Collaborations Within Industry 5.0 Scenarios Via Knowledge Graphs: Key Challenges And Lessons Learned, Franz Krause, Heiko Paulheim, Elmar Kiesling, Kabul Kurniawan, Maria Chiara Leva, Hector Diego Estrada-Lugo, Gernot Stübl, Nazim Kemal Üre, Javier Dominguez-Ledo, Maqbool Khan, Pedro Demolder, Hans Gaux, Bernhard Heinzl, Thomas Hoch, Jorge Martinez-Gil, Agastya Silvina, Bernhard A. Moser Jan 2024

Managing Human-Ai Collaborations Within Industry 5.0 Scenarios Via Knowledge Graphs: Key Challenges And Lessons Learned, Franz Krause, Heiko Paulheim, Elmar Kiesling, Kabul Kurniawan, Maria Chiara Leva, Hector Diego Estrada-Lugo, Gernot Stübl, Nazim Kemal Üre, Javier Dominguez-Ledo, Maqbool Khan, Pedro Demolder, Hans Gaux, Bernhard Heinzl, Thomas Hoch, Jorge Martinez-Gil, Agastya Silvina, Bernhard A. Moser

Research Outputs: 2025-Present

In this paper, we discuss technologies and approaches based on Knowledge Graphs (KGs) that enable the management of inline human interventions in AI-assisted manufacturing processes in Industry 5.0 under potentially changing conditions in order to maintain or improve the overall system performance. Whereas KG-based systems are commonly based on a static view with their structure fixed at design time, we argue that the dynamic challenge of inline Human-AI (H-AI) collaboration in industrial settings calls for a late shaping design principle. In contrast to early shaping, which determines the system's behavior at design time in a fine granular manner, late shaping …


Mapping Metaverse Research To The Sustainable Development Goal Of Good Health And Well-Being, Raghu Raman, Laurie Hughes, Santanu Mandal, Payel Das, Prema Nedungadi Jan 2024

Mapping Metaverse Research To The Sustainable Development Goal Of Good Health And Well-Being, Raghu Raman, Laurie Hughes, Santanu Mandal, Payel Das, Prema Nedungadi

Research outputs 2022 to 2026

The rise of the metaverse - a convergence of virtually enhanced physical reality and persistent virtual spaces - presents transformative potential for the healthcare sector. This study systematically explores how metaverse technologies, such as virtual reality (VR), augmented reality (AR), mixed reality (MR), and digital twins, contribute to achieving United Nations Sustainable Development Goal 3 (SDG3), which focuses on good health and well-being. By integrating these technologies, the metaverse offers innovative solutions for telemedicine, medical training, mental health support, public health education, and global medical research collaboration. This study maps the current research landscape, highlighting the capacity of metaverse technologies …


Mining Through Pandemic Crisis: A Systematic Review Of The Impacts Of Covid-19 Management Strategies On Mining Industries In West Africa And Western Australia, Esther Ayaaba, Kwadwo Adusei-Asante, Victor Fannam Nunfam, Krassi Rumchev, Samuel Kofi Amponsah Jan 2024

Mining Through Pandemic Crisis: A Systematic Review Of The Impacts Of Covid-19 Management Strategies On Mining Industries In West Africa And Western Australia, Esther Ayaaba, Kwadwo Adusei-Asante, Victor Fannam Nunfam, Krassi Rumchev, Samuel Kofi Amponsah

Research outputs 2022 to 2026

The mining sector plays a crucial role in the economies of West Africa and Western Australia, contributing to GDP, employment, and foreign exchange earnings. However, the sector also faces environmental, social, and health challenges, including land and water degradation, human rights violations, and occupational hazards. The COVID-19 pandemic worsened these challenges, affecting aspects of the mining industry. This systematic review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines for literature search and selection. PubMed and Google Scholar were searched for relevant articles published from 2019 to 2023. Inclusion criteria encompassed studies focusing on COVID-19 management strategies …


Performance Measurement In A Custom Production Process Model Using The Process Mining Approach: A Systematic Literature Review, Wawa Wikusna, Mustafid, Ferry Jie Jan 2024

Performance Measurement In A Custom Production Process Model Using The Process Mining Approach: A Systematic Literature Review, Wawa Wikusna, Mustafid, Ferry Jie

Research outputs 2022 to 2026

This study aims to explore and develop a method for measuring supply chain performance influenced by customer demand in custom product production. The research method used is a systematic literature review, focusing on measuring key indicators and evaluating supply chain performance. This study highlights the importance of Key Performance Indicators (KPIs) as an evaluation tool, which helps make decisions more effective and efficient in the supply chain. By using the Supply Chain Operation Reference (SCOR) model supported by the Analytic Hierarchy Process (AHP) and the normalization of the Snorm De Boer Score, this study shows a systematic measurement process from …


Spatially-Aware Speaker For Vision-And-Language Navigation Instruction Generation, Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter Jan 2024

Spatially-Aware Speaker For Vision-And-Language Navigation Instruction Generation, Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter

Research outputs 2022 to 2026

Embodied AI aims to develop robots that can understand and execute human language instructions, as well as communicate in natural languages. On this front, we study the task of generating highly detailed navigational instructions for the embodied robots to follow. Although recent studies have demonstrated significant leaps in the generation of step-by-step instructions from sequences of images, the generated instructions lack variety in terms of their referral to objects and landmarks. Existing speaker models learn strategies to evade the evaluation metrics and obtain higher scores even for low-quality sentences. In this work, we propose SAS (Spatially-Aware Speaker), an instruction generator …


Scholarly Discourse On Genai’S Impact On Academic Publishing, Yogesh K. Dwivedi, Tegwen Malik, Laurie Hughes, Mousa Ahmed Albashrawi Jan 2024

Scholarly Discourse On Genai’S Impact On Academic Publishing, Yogesh K. Dwivedi, Tegwen Malik, Laurie Hughes, Mousa Ahmed Albashrawi

Research outputs 2022 to 2026

This multidisciplinary and multi-perspective review, based on more than 50 editorials and studies published in the last two years, explores the transformative impact of Generative Artificial Intelligence (GenAI) on academic publishing. While GenAI has streamlined tasks such as summarizing literature and drafting manuscripts, it has also introduced significant ethical and practical challenges. Key concerns include authorship, where GenAI falls short of meeting intellectual or accountability criteria, as well as the increasing threat of plagiarism, originality issues, and the spread of misinformation. The review also highlights biases embedded in GenAI generated content and the implications for academic fairness and inclusivity. Additionally, …


The Impact Of Corporate Disclosure And Website Informativeness On Enhancing Corporate Governance And Performance, Ahmad Saiful Azlin Puteh Salin, Zubaidah Ismail, Malcolm Smith Jan 2024

The Impact Of Corporate Disclosure And Website Informativeness On Enhancing Corporate Governance And Performance, Ahmad Saiful Azlin Puteh Salin, Zubaidah Ismail, Malcolm Smith

Research outputs 2022 to 2026

This study aims to investigate how transparency affects the company’s performance. Transparency in corporate governance is crucial to prevent misconduct, encourage accountability, and integrity, and ultimately, enhance sustainable performance in businesses. In contrast, inadequate disclosure of information can lead to business scandals and fraud, diminishing trust in institutions, harming stakeholders, and adversely affecting the entire economy (Salin et al., 2019). The study measures transparency through firm disclosure policy and website informativeness. This study employs archival analysis of the annual reports of the top 500 publicly listed firms in Malaysia based on market capitalization. Nine items were created to assess the …


Stakeholders' Perception On Sustainability Indicators For Urban Heritage Sites In Kuala Lumpur And George Town, Malaysia, Ken Ying Cho, Camelia Kusumo, Keith Kay Hin Tan, S. Mostafa Rasoolimanesh Jan 2024

Stakeholders' Perception On Sustainability Indicators For Urban Heritage Sites In Kuala Lumpur And George Town, Malaysia, Ken Ying Cho, Camelia Kusumo, Keith Kay Hin Tan, S. Mostafa Rasoolimanesh

Research outputs 2022 to 2026

Purpose: To manage heritage cities for locals' needs, a contextualized indicator to measure the sustainability of urban heritage is needed because it is often neglected. This study aims to identify the stakeholders’ perceptions on sustainability indicators of urban heritage sites in Kuala Lumpur and George Town, Malaysia. Design/methodology/approach: This study applied a qualitative method by interviewing stakeholders (governmental, experts and communities) who are involved in urban heritage sites. A thematic analysis is used to group the data patterns into themes. Findings: The existing site management and attention to heritage conservation are varied for both sites. The discussions of the stakeholders …


Pilbara Food Community: Snapshot Report, Isabelle Chiera, Jess Doe, Amanda Devine, Melissa Stoneham, Stephanie L. Godrich Jan 2024

Pilbara Food Community: Snapshot Report, Isabelle Chiera, Jess Doe, Amanda Devine, Melissa Stoneham, Stephanie L. Godrich

Research outputs 2022 to 2026

Food security refers to the adequate physical, social, and economic access to healthy food at all times. The Pilbara Food Community project aimed to identify, map, evaluate and strengthen food security initiatives across the region, to support food security action. This report outlines the findings from the Pilbara Food Community project, detailing the different types of food security initiatives operating within the region. It provides a summary of how Pilbara initiatives are contributing to food security systems change, and how they are working in partnership to deliver their food security initiatives. Based on these findings, region-based recommendations are provided to …


Goldfields Food Community: Snapshot Report, Isabelle Chiera, Jess Doe, Amanda Devine, Melissa Stoneham, Stephanie L. Godrich Jan 2024

Goldfields Food Community: Snapshot Report, Isabelle Chiera, Jess Doe, Amanda Devine, Melissa Stoneham, Stephanie L. Godrich

Research outputs 2022 to 2026

Food security refers to the adequate physical, social, and economic access to healthy food at all times. The Goldfields Food Community project aimed to identify, map, evaluate and strengthen food security initiatives across the region, to support food security action. This report outlines the findings from the Goldfields Food Community project, detailing the different types of food security initiatives operating within the region. It provides a summary of how Goldfields initiatives are contributing to food security systems change, and how they are working in partnership to deliver their food security initiatives. Based on these findings, region-based recommendations are provided to …


Parental Assessment Of Postsurgical Pain In Infants At Home Using Artificial Intelligence–Enabled And Observer-Based Tools: Construct Validity And Clinical Utility Evaluation Study, Fatos Sada, Paola Chivers, Sokol Cecelia, Sejdi Statovci, Kujtim Ukperaj, Jeffery Hughes, Kreshnik Hoti Jan 2024

Parental Assessment Of Postsurgical Pain In Infants At Home Using Artificial Intelligence–Enabled And Observer-Based Tools: Construct Validity And Clinical Utility Evaluation Study, Fatos Sada, Paola Chivers, Sokol Cecelia, Sejdi Statovci, Kujtim Ukperaj, Jeffery Hughes, Kreshnik Hoti

Research outputs 2022 to 2026

Background: Pain assessment in the infant population is challenging owing to their inability to verbalize and hence self-report pain. Currently, there is a paucity of data on how parents identify and manage this pain at home using standardized pain assessment tools. Objective: This study aimed to explore parents’ assessment and intervention of pain in their infants at home following same-day surgery, using standardized pain assessment tools. Methods: This prospective study initially recruited 109 infant boys undergoing circumcision (same-day surgery). To assess pain at home over 3 days after surgery, parents using iOS devices were assigned to use the PainChek Infant …


Friendship, Connection And Loss: Everyday Digital Kinning And Digital Homing Among Chinese Transnational Grandparents In Perth, Australia, Catriona Stevens, Loretta Baldasar, Raelene Wilding Jan 2024

Friendship, Connection And Loss: Everyday Digital Kinning And Digital Homing Among Chinese Transnational Grandparents In Perth, Australia, Catriona Stevens, Loretta Baldasar, Raelene Wilding

Research outputs 2022 to 2026

This chapter explores how practices of digital kinning and digital homing enacted through smartphones shape the experiences of Chinese older adults in Perth, Australia. Transnational grandparent carers must balance the risks of diminished social networks with the benefits of providing intergenerational care. Some form strong friendships in Perth, but many yearn for a leisured life with their friends in China. Findings illustrate the central role of digital migration practices in transnational families and friendships, not only sustaining distant support networks, but also building new communities in host settings. However, for some, the co-presence afforded through WeChat may intensify feelings of …


Predictive Methods And Data Pattern Analysis For Reducing Car Plate Theft, Noor Alzayani Jan 2024

Predictive Methods And Data Pattern Analysis For Reducing Car Plate Theft, Noor Alzayani

Theses

The project titled " Predictive Methods and Data Pattern Analysis for Reducing Car Plate Theft" seeks to provide innovative solutions to combat car plate theft. The project contains data of 6500 thieves who have stolen number plates and were involved in various other types of criminal activities by putting that number plate in their vehicle. The data collected for the present project is from the emirates of Dubai. It contains information related to thieves age, education, nationality, type of crime committed, area in which crime is committed, number of crimes committed, timing of crime, residential status of criminal, visa status, …


Towards Algorithm Selection For Efficient Search-Based Software Engineering, Niranjana Deshpande Jan 2024

Towards Algorithm Selection For Efficient Search-Based Software Engineering, Niranjana Deshpande

Theses

In Search-Based Software Engineering (SBSE), metaheuristic search algorithms are used to construct software by combining components that fulfill diverse user and business requirements. These search algorithms typically employ randomization to accurately and efficiently evaluate numerous component combinations using limited computational resources. As a result, several search algorithms have been proposed to address SBSE problems, each with varying solution quality guarantees and computational resource usage. Recent research has demonstrated that search algorithms exhibit complementary behavior, that is, different search algorithms outperform each other on specific problem instances in terms of computational resource usage and solution quality. Problematically, current SBSE approaches do …


Optimizing Neural Networks For Iiot Attack Detection, Hamad Alblooshi Jan 2024

Optimizing Neural Networks For Iiot Attack Detection, Hamad Alblooshi

Theses

The Industrial Internet of Things (IIoT) stands as a revolutionary force, intertwining physical devices, sensors, and industrial systems to usher in advanced automation and data-driven decision-making across various sectors. However, this increased connectivity has exposed these systems to a growing array of cyber threats. Safeguarding IIoT environments becomes crucial to maintain the integrity, availability, and confidentiality of critical industrial processes. In response, this research explores the optimization of neural network parameters using Genetic Algorithms (GA). The application of GA has led to achieve a remarkable accuracy of 95% across various attack types. The results demonstrate a high performance in identifying …


Machine Learning Based Solutions For Detecting Social Media Spam And Phishing Incidents, Ahmed Al Shehhi Jan 2024

Machine Learning Based Solutions For Detecting Social Media Spam And Phishing Incidents, Ahmed Al Shehhi

Theses

The growing digital interactions across various social media platforms increases the risks of phishing schemes and spam messages that compromise personal and organisational security. This thesis tackles such threats with the aid of machine learning and natural processing techniques that are utilized for detecting malicious communications with high accuracy. A total of three datasets were used in this study, two for phishing and one for spam. The research aims to explore the performance of classification models, including Logistic Regression, Support Vector Machine, Naïve Bayes, and Linear Discriminant Analysis, as well as a hybrid model combining Logistic Regression and Naïve Bayes. …


Integration Of Blockchain And Cryptographic Techniques For Location Based Services, Rashed Al Shamali Jan 2024

Integration Of Blockchain And Cryptographic Techniques For Location Based Services, Rashed Al Shamali

Theses

As digital systems continue to evolve in complexity, protecting user identities and ensuring the secure transmission of data has become paramount. Conventional techniques such as passwords and digital signatures are often insufficient to address modern security threats unless paired with more sophisticated technologies. This thesis proposes a framework that integrates Blockchain Technology with Elliptic Curve Cryptography (ECC) to fortify identity verification protocols and enhance location-obscuring methods. Blockchain’s inherent features of decentralization, immutability, and non-repudiation makes it an ideal platform for secure data exchange. When combined with ECC, which provides robust encryption with smaller key sizes, the system achieves a heightened …


The Uae’S Readiness For Technology Export: The Case Of Ai, Reem Tamer Aldandashi Jan 2024

The Uae’S Readiness For Technology Export: The Case Of Ai, Reem Tamer Aldandashi

Theses

Export diversification is one way for the UAE to sustain and flourish its economy. Although UAE is an oil-rich country, it needs to search for and incubate future exports besides the existing ones to keep the wheel of the economy moving, increase the employment rate, and strengthen the country from any future economic strokes. While looking at the technology spread and Artificial Intelligence (AI) focus and efforts in UAE, much research investigated the outcomes of digitization on the UAE economy and its technological strength and competitiveness. At the same time, no one has searched for the possibility of having one …


Ownership Topology Of Vertically-Scaled Agile, William Dabney Jan 2024

Ownership Topology Of Vertically-Scaled Agile, William Dabney

Theses

Much as Scrum, Kanban, and XP are used to structure team-level agility, those wishing to take agility beyond the team level often turn to proven solutions. The most popular, which aim to scale development by adding teams under a shared collective ownership rather than separating them into discrete units, are the Scaled Agile Framework (SAFe), Large Scale Scrum (LeSS), and Nexus. These frameworks advocate for aligning ownership subdivisions along features rather than code, which allows teams working on the same product to do so autonomously. While the benefits of this have been researched, the topology of ownership in these frameworks …