An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case
Conference Proceeding
Onyeashie, B., Leimich, P., McKeown, S., & Russell, G. (2024)
An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case. In Big Data Technologies and Applications (156-167). https://doi.org/10.1007/978-3-031-52265-9_11
This paper presents a decentralised framework for sharing and managing evidence that uses smart lockers, blockchain technology, and the InterPlanetary File System (IPFS). The ...
Image Forgery Detection using Cryptography and Deep Learning
Conference Proceeding
Oke, A., & Babaagba, K. O. (2024)
Image Forgery Detection using Cryptography and Deep Learning. In Big Data Technologies and Applications. BDTA 2023 (62-78). https://doi.org/10.1007/978-3-031-52265-9_5
The advancement of technology has undoubtedly exposed everyone to a remarkable array of visual imagery. Nowadays, digital technology is eating away the trust and historical co...
Can Federated Models Be Rectified Through Learning Negative Gradients?
Conference Proceeding
Tahir, A., Tan, Z., & Babaagba, K. O. (2024)
Can Federated Models Be Rectified Through Learning Negative Gradients?. In Big Data Technologies and Applications (18-32). https://doi.org/10.1007/978-3-031-52265-9_2
Federated Learning (FL) is a method to train machine learning (ML) models in a decentralised manner, while preserving the privacy of data from multiple clients. However, FL is...
A Review of the Benefits of Automation and Robotic Application in Building Construction
Conference Proceeding
Ejidike, C. C., Mewomo, M. C., Olawumi, T. O., & Esangbedo, O. P. (2024)
A Review of the Benefits of Automation and Robotic Application in Building Construction. In Y. Turkan, J. Louis, F. Leite, & S. Ergan (Eds.), Computing in Civil Engineering 2023: Data, Sensing, and Analytics (796-803). https://doi.org/10.1061/9780784485224.096
Globally, building construction is complex and advanced in performance. The improvement of the economy and social benefits of building delivery depends critically on applying ...
DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences
Conference Proceeding
Koniaris, B., Sinclair, D., & Mitchell, K. (in press)
DanceMark: An open telemetry framework for latency sensitive real-time networked immersive experiences.
DanceMark is an open telemetry framework designed for latency-sensitive real-time networked immersive experiences, focusing on online dancing in virtual reality within the Dan...
On The Role of Dialogue Models in the Age of Large Language Models
Conference Proceeding
Wells, S., & Snaith, M. (2024)
On The Role of Dialogue Models in the Age of Large Language Models. In Proceedings of the 23nd Workshop on Computational Models of Natural Argument (CMNA 2023) (49-51
Evolving Behavior Allocations in Robot Swarms
Conference Proceeding
Hallauer, S., Nitschke, G., & Hart, E. (2024)
Evolving Behavior Allocations in Robot Swarms. In 2023 IEEE Symposium Series on Computational Intelligence (SSCI) (1526-1531). https://doi.org/10.1109/SSCI52147.2023.10371934
Behavioral diversity is known to benefit problem-solving in biological social systems such as insect colonies and human societies, as well as in artificial distributed systems...
Investing in degree apprenticeships: Analysing experiences through Conservation of Resources Theory
Conference Proceeding
Taylor-Smith, E., Smith, S., & Bratton, A. (2023)
Investing in degree apprenticeships: Analysing experiences through Conservation of Resources Theory.
Degree apprentices have reported finding work-life-study balance challenging. This study uses the Theory of Conservation of Resources (COR) to investigate the resources invest...
PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping
Conference Proceeding
Wang, Z., Liu, Q., & Liu, X. (2023)
PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping. In 2023 IEEE Smart World Congress (SWC). https://doi.org/10.1109/SWC57546.2023.10449141
The rapid growth of private data from distributed edge networks, driven by the proliferation of IoT sensors, wearable devices, and smartphones, offers significant opportunitie...
T/ensor/~ 0.3
Conference Proceeding
Papageorgiou, D. (2023)
T/ensor/~ 0.3. In Proceedings of the International Conference on New Interfaces for Musical Expression 2023
T/ensor/~ (version 0.3) is a prototype of a dynamic performance system developed in MAX that involves adaptive digital signal processing modules and generative processes towar...