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Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities (2024)
Journal Article

Environment changes, water scarcity, soil depletion, and urbanisation are making it harder to produce food using traditional methods in various regions and countries. Aquaponics is emerging as a sustainable food production system that produces fish a... Read More about Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities.

Citizen-led emissions reduction: Enhancing enjoyment and understanding for diverse citizen engagement with air pollution and climate change decision making (2024)
Journal Article

Diverse citizens need to be involved in net zero transitions to ensure policy interventions do not entrench inequalities for people from minoritised or disenfranchised groups and ensure public engagement with rapid social changes. This paper illustra... Read More about Citizen-led emissions reduction: Enhancing enjoyment and understanding for diverse citizen engagement with air pollution and climate change decision making.

Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment (2024)
Journal Article

Fruit ripeness estimation models have for decades depended on spectral index features or colour-based features, such as mean, standard deviation, skewness, colour moments, and/or histograms for learning traits of fruit ripeness. Recently, few studies... Read More about Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment.

A pilot study on mixed-reality approaches for detecting upper-limb dysfunction in multiple sclerosis: Insights on cerebellar tremor (2024)
Journal Article

The assessment and rehabilitation of upper-limb functionality are crucial for addressing motor disorders in individuals with multiple sclerosis (PwMS). Traditional methods often lack the sensitivity to quantify subtle motor impairments, with cerebell... Read More about A pilot study on mixed-reality approaches for detecting upper-limb dysfunction in multiple sclerosis: Insights on cerebellar tremor.

Adaptive security control for uncertain delayed semi-Markov jump systems subject to cyber attacks and actuator failures (2024)
Journal Article

This note investigates the adaptive security control issue for uncertain delayed semi-Markov jump systems (DSMJSs) within the framework of sliding mode control (SMC), in which the DSMJSs are affected by generally unknown transition rates (GUTRs), act... Read More about Adaptive security control for uncertain delayed semi-Markov jump systems subject to cyber attacks and actuator failures.

Impact of disinfectant on the electrical outputs of urine-fed ceramic and membrane-less microbial fuel cell cascades (2024)
Journal Article

The application of microbial fuel cells in sanitation has demonstrated feasibility in supplying electricity and providing safety in underserved communities, especially at toilet blocks. Two different designs of urine fed MFC cascades, ceramic MFCs (c... Read More about Impact of disinfectant on the electrical outputs of urine-fed ceramic and membrane-less microbial fuel cell cascades.

Effect of interlayer thickness on mechanical properties of steel/polymer/steel laminates fabricated by roll bonding technique (2024)
Journal Article

Nowadays, metal/polymer/metal laminates are extensively used in various industries due to their unparalleled properties. In this study, the roll bonding process was employed for lamination of low carbon steel (St14) and semi-melted thermoplastic poly... Read More about Effect of interlayer thickness on mechanical properties of steel/polymer/steel laminates fabricated by roll bonding technique.

Variable projection algorithm for GPS positioning in multipath environments based on Aitken acceleration method (2024)
Journal Article

The multipath effect often reduce global positioning system (GPS) positioning accuracy. Traditional GPS positioning methods usually ignore the multipath effect errors, resulting in poor positioning estimation accuracy. This article proposes a variabl... Read More about Variable projection algorithm for GPS positioning in multipath environments based on Aitken acceleration method.

Evaluación de la vulnerabilidad sísmica de edificios históricos de mampostería usando modelos semánticos apoyados en evidencias empíricas: Aprendizajes en México (2024)
Journal Article

La evaluación de la vulnerabilidad sísmica asociada a las construcciones históricas representa diversos retos metodológicos y de escala. La no linealidad en el comportamiento estructural en edificios de mampostería no reforzada, la variedad de soluci... Read More about Evaluación de la vulnerabilidad sísmica de edificios históricos de mampostería usando modelos semánticos apoyados en evidencias empíricas: Aprendizajes en México.

Condition assessment criteria evaluation of asymmetric aged and fully aged silicone rubber insulators based on leakage current harmonics (2023)
Journal Article

The leakage current characteristic monitoring of transmission line insulators is considered a worthy technique for insulator state prediction. In this paper, the harmonic analysis of leakage current signals has been performed to analyze the composite... Read More about Condition assessment criteria evaluation of asymmetric aged and fully aged silicone rubber insulators based on leakage current harmonics.

Evaluation of frameworks that combine evolution and learning to design robots in complex morphological spaces (2023)
Journal Article

Jointly optimising both the body and brain of a robot is known to be a challenging task, especially when attempting to evolve designs in simulation that will subsequently be built in the real world. To address this, it is increasingly common to combi... Read More about Evaluation of frameworks that combine evolution and learning to design robots in complex morphological spaces.

Application of Data Mining Techniques to Rural Vernacular Buildings: A Methodology for Characterisation and Awareness (2023)
Journal Article

Data-mining techniques (DMTs) have been widely used in the context of existing buildings. However, studies comparing its application to different objects and using rural territories with vernacular constructions as case studies remain highly unexplor... Read More about Application of Data Mining Techniques to Rural Vernacular Buildings: A Methodology for Characterisation and Awareness.