Professor Dhaval Thakker's Outputs (25)

Enhancing Cybersecurity in Internet of Vehicles: A Machine Learning Approach with Explainable AI for Real-Time Threat Detection (2025)
Presentation / Conference Contribution
Patel, T., Jhaveri, R. H., Thakker, D., Verma, S., & Ingle, P. (2025, March). Enhancing Cybersecurity in Internet of Vehicles: A Machine Learning Approach with Explainable AI for Real-Time Threat Detection. Presented at SAC '25: 40th ACM/SIGAPP Symposium on Applied Computing, Catania, Sicily, Italy

The proliferation of IoV technologies has revolutionized the use of transport systems to a great level of improvement in safety and efficiency, and convenience to users. On the other hand, increased connectivity has also brought new vulnerabilities,... Read More about Enhancing Cybersecurity in Internet of Vehicles: A Machine Learning Approach with Explainable AI for Real-Time Threat Detection.

Social Media Data: Challenges, Mitigation Strategies, and Opportunities for Disaster Management (2024)
Presentation / Conference Contribution
Abid, S., Mishra, B. K., Younis, U., Thakker, D., & Mishra, N. (2024, December). Social Media Data: Challenges, Mitigation Strategies, and Opportunities for Disaster Management. Presented at 2024 International Conference on Frontiers of Information Technology, FIT 2024, Islamabad, Pakistan

For disaster management, the accurate and timely availability of factual information is crucial for effective decision-making and response. Traditional communication channels are either costly or do not provide real-time data. Here comes the role of... Read More about Social Media Data: Challenges, Mitigation Strategies, and Opportunities for Disaster Management.

Tailored Risk Assessment and Forecasting in Intermittent Claudication: A Proof of Concept Decision Support Tool (2024)
Presentation / Conference Contribution
Ravindhran, B., Prosser, J., Lim, A., Mishra, B., Lathan, R., Hitchman, L., Smith, G., Carradice, D., Thakker, D., Pymer, S., & Chetter, I. (2024, June). Tailored Risk Assessment and Forecasting in Intermittent Claudication: A Proof of Concept Decision Support Tool. Presented at The European Society for Vascular Surgery Translational Spring Meeting 2024, Stockholm, Sweden

Machine learning and deep learning prediction models for time-series: a comparative analytical study for the use case of the UK short-term electricity price prediction (2024)
Journal Article
Mishra, B. K., Preniqi, V., Thakker, D., & Feigl, E. (2024). Machine learning and deep learning prediction models for time-series: a comparative analytical study for the use case of the UK short-term electricity price prediction. Discover Internet of Things, 4(1), Article 24. https://doi.org/10.1007/s43926-024-00075-4

Electricity price prediction has an imperative role in the UK energy market among energy trading organisations. The price prediction directly impacts organisational policy for profitable electricity trading, better bidding plans, and the optimisation... Read More about Machine learning and deep learning prediction models for time-series: a comparative analytical study for the use case of the UK short-term electricity price prediction.

Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance (2024)
Presentation / Conference Contribution
Kureshi, R. R., Mazumdar, S., Mishra, B. K., Li, X., & Thakker, D. (2023, December). Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE

The detrimental effects of air pollutants on human health have prompted increasing concerns regarding indoor air quality (IAQ). The emergence of digital health interventions and citizen science initiatives has provided new avenues for raising awarene... Read More about Digital Health and Indoor Air Quality: An IoT- Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance.

Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study (2024)
Journal Article
Paxton, K., Aslansefat, K., Thakker, D., & Papadopoulos, Y. (2024). Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study. IEEE Internet Computing, 28(5), 11-19. https://doi.org/10.1109/MIC.2024.3450815

As machine learning is increasingly making decisions about hiring or healthcare, we want AI to treat ethnic and socioeconomic groups fairly. Fairness is currently measured by comparing the average accuracy of reasoning across groups. We argue that im... Read More about Measuring AI Fairness in a Continuum Maintaining Nuances: A Robustness Case Study.

Devising a Responsible Framework for Air Quality Sensor Placement (2024)
Presentation / Conference Contribution
Westcarr, J., Gunturi, V. M. V., Cabaneros, S. M., Raja, R., Thakker, D., & Porter, A. (2024, July). Devising a Responsible Framework for Air Quality Sensor Placement. Presented at 2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS), London, United Kingdom

A major challenge faced when developing smart, sustainable urban environments is the reduction of air pollutants that adversely impact citizens' health. The UK has implemented strategies such as clean air zones (CAZs) coupled with the use of sensor t... Read More about Devising a Responsible Framework for Air Quality Sensor Placement.

Integrating Virtual Walkthroughs for Subjective Urban Evaluations: A Case Study of Neighbourhoods in Sheffield, England (2024)
Journal Article
Roychowdhury, S., Mazumdar, S., Thakker, D., Checco, A., Lanfranchi, V., & Goodchild, B. (2024). Integrating Virtual Walkthroughs for Subjective Urban Evaluations: A Case Study of Neighbourhoods in Sheffield, England. Land, 13(6), Article 831. https://doi.org/10.3390/land13060831

This study explores the correlation between residents’ subjective assessments of urban neighbourhoods, obtained through virtual walkthroughs, and objective measures of deprivation. Our study was set within a specific city in the United Kingdom, with... Read More about Integrating Virtual Walkthroughs for Subjective Urban Evaluations: A Case Study of Neighbourhoods in Sheffield, England.

Tailored risk assessment and forecasting in intermittent claudication (2024)
Journal Article
Ravindhran, B., Prosser, J., Lim, A., Lathan, R., Mishra, B., Hitchman, L., Smith, G. E., Carradice, D., Thakker, D., Chetter, I. C., & Pymer, S. (2024). Tailored risk assessment and forecasting in intermittent claudication. BJS Open, 8(1), Article zrad166. https://doi.org/10.1093/bjsopen/zrad166

Background: Guidelines recommend cardiovascular risk reduction and supervised exercise therapy as the first line of treatment in intermittent claudication, but implementation challenges and poor patient compliance lead to significant variation in man... Read More about Tailored risk assessment and forecasting in intermittent claudication.

Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring (2024)
Presentation / Conference Contribution
Mishra, B. K., Thakker, D., John, R., Kureshi, R. R., Ahmad, B., Jones, W., & Li, X. (2023, December). Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring. Presented at 4th International Conference on Distributed Sensing and Intelligent Systems (ICDSIS 2023), Dubai, UAE

Air pollution appears in the form of outdoor air quality and indoor air quality (IAQ). Particulate Matters (PM2.5 and PM10) and CO2, among many air pollutants, are responsible for worsening IAQ. IAQ has been linked to lung illnesses such as asthma, c... Read More about Evaluating Asthma Symptoms in Relation to Indoor Air Quality: Insights from IoT-enabled Monitoring.

Ontology Development for Detecting Complex Events in Stream Processing: Use Case of Air Quality Monitoring (2023)
Journal Article
Yemson, R., Kabir, S., Thakker, D., & Konur, S. (2023). Ontology Development for Detecting Complex Events in Stream Processing: Use Case of Air Quality Monitoring. Computers, 12(11), Article 238. https://doi.org/10.3390/computers12110238

With the increasing amount of data collected by IoT devices, detecting complex events in real-time has become a challenging task. To overcome this challenge, we propose the utilisation of semantic web technologies to create ontologies that structure... Read More about Ontology Development for Detecting Complex Events in Stream Processing: Use Case of Air Quality Monitoring.

Towards achieving net zero by 2050 in the UK – Stakeholder perspectives in integrated urban planning (2023)
Journal Article
Mazumdar, S., Thakker, D., Hayes, J., Matos, N., & Bate, P. (2023). Towards achieving net zero by 2050 in the UK – Stakeholder perspectives in integrated urban planning. Futures: for the interdisciplinary study of futures, visioning, anticipation and foresight, 152, Article 103197. https://doi.org/10.1016/j.futures.2023.103197

In light of severe risks of extreme conditions arising out of global warming, the push towards sustainable development and management of our resources has been a topic of immense interest globally. The UK's recent promise of reducing all greenhouse g... Read More about Towards achieving net zero by 2050 in the UK – Stakeholder perspectives in integrated urban planning.

Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models (2023)
Presentation / Conference Contribution
Mboli, J. S., Thakker, D., & Mishra, J. (2023, April). Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models. Presented at International Conference on Enterprise Information Systems, ICEIS - Proceedings, Prague, Czech Republic

The circular economy (CE) is preferred to linear economy (LE) as it aims to keep resources in use for as long as possible, extracting maximum value before recovering and regenerating them. This reduces the need to extract new raw materials and reduce... Read More about Artificial Intelligence-Powered Decisions Support System for Circular Economy Business Models.

From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model (2023)
Journal Article
Kureshi, R. R., Thakker, D., Mishra, B. K., & Barnes, J. (2023). From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model. Sensors, 23(7), Article 3613. https://doi.org/10.3390/s23073613

The topic of indoor air pollution has yet to receive the same level of attention as ambient pollution. We spend considerable time indoors, and poorer indoor air quality affects most of us, particularly people with respiratory and other health conditi... Read More about From Raising Awareness to a Behavioural Change: A Case Study of Indoor Air Quality Improvement Using IoT and COM-B Model.

Understanding Urban Planning Outcomes in the UK: Practitioner Perspectives in Outcome Assessment (2023)
Journal Article
Mazumdar, S., Qi, J., Thakker, D., & Goodchild, B. (2023). Understanding Urban Planning Outcomes in the UK: Practitioner Perspectives in Outcome Assessment. International Journal of E-Planning Research, 12(1), 1-40. https://doi.org/10.4018/IJEPR.326126

The planning process in the UK is a highly complex system, developed over many decades, and is in the process of rapid transitions into digital planning. Among these transformations is a desire to move from an outputs-based assessment to an outcomes-... Read More about Understanding Urban Planning Outcomes in the UK: Practitioner Perspectives in Outcome Assessment.

Emerging Exploration Strategies of Knowledge Graphs (2023)
Journal Article
Al-Tawil, M., Dimitrova, V., Thakker, D., & Abu-Salih, B. (2023). Emerging Exploration Strategies of Knowledge Graphs. IEEE Access, 11, 94713-94731. https://doi.org/10.1109/ACCESS.2023.3308514

The utilization of semantic web technologies has led to the development of knowledge graphs represented as triples that allow for the exploration of specific and cross-domains. Despite the advantages of semantic links between entities in facilitating... Read More about Emerging Exploration Strategies of Knowledge Graphs.

FedMSA: A Model Selection and Adaptation System for Federated Learning (2022)
Journal Article
Sun, R., Li, Y., Shah, T., Sham, R. W., Szydlo, T., Qian, B., Thakker, D., & Ranjan, R. (2022). FedMSA: A Model Selection and Adaptation System for Federated Learning. Sensors, 22(19), Article 7244. https://doi.org/10.3390/s22197244

Federated Learning (FL) enables multiple clients to train a shared model collaboratively without sharing any personal data. However, selecting a model and adapting it quickly to meet user expectations in a large-scale FL application with heterogeneou... Read More about FedMSA: A Model Selection and Adaptation System for Federated Learning.

Dynamic Data Streams for Time-Critical IoT Systems in Energy-Aware IoT Devices Using Reinforcement Learning (2022)
Journal Article
Habeeb, F., Szydlo, T., Kowalski, L., Noor, A., Thakker, D., Morgan, G., & Ranjan, R. (2022). Dynamic Data Streams for Time-Critical IoT Systems in Energy-Aware IoT Devices Using Reinforcement Learning. Sensors, 22, Article 2375. https://doi.org/10.3390/s22062375

Thousands of energy-aware sensors have been placed for monitoring in a variety of scenarios, such as manufacturing, control systems, disaster management, flood control and so on, requiring time-critical energy-efficient solutions to extend their life... Read More about Dynamic Data Streams for Time-Critical IoT Systems in Energy-Aware IoT Devices Using Reinforcement Learning.

Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring (2022)
Journal Article
Kureshi, R., Mishra, B., Thakker, D., John, R., Walker, A., Simpson, S., Thakkar, N., & Wante, A. (2022). Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring. Sensors, 22(3), Article 1093. https://doi.org/10.3390/s22031093

With the emergence of Low-Cost Sensor (LCS) devices, measuring real-time data on a large scale has become a feasible alternative approach to more costly devices. Over the years, sensor technologies have evolved which has provided the opportunity to h... Read More about Data-Driven Techniques for Low-Cost Sensor Selection and Calibration for the Use Case of Air Quality Monitoring.

Use Case of Building an Indoor Air Quality Monitoring System (2021)
Presentation / Conference Contribution
Kureshi, R. R., Thakker, D., Mishra, B. K., & Ahmed, B. (2021, June). Use Case of Building an Indoor Air Quality Monitoring System. Presented at 7th IEEE World Forum on Internet of Things, WF-IoT 2021, New Orleans, USA

On average, we spend around 90% of the time in indoor environments. Indoor Air Quality (IAQ) has been receiving increased attention from the environmental bodies, local authorities and citizens as it is becoming clearer that poor IAQ has public healt... Read More about Use Case of Building an Indoor Air Quality Monitoring System.