All Outputs (261)

TG-SPRED: Temporal graph for sensorial data PREDiction (2024)
Journal Article

This study introduces an innovative method aimed at reducing energy consumption in sensor networks by predicting sensor data, thereby extending the network's operational lifespan. Our model, Temporal Graph Sensor Prediction (TG-SPRED), predicts readi... Read More about TG-SPRED: Temporal graph for sensorial data PREDiction.

Thermoelectric properties of single-phase n-type Bi14Te13S8 (2024)
Journal Article

Bismuth telluride (Bi2Te3) and its alloys are among the best thermoelectric materials at room temperature. Bi14Te13S8, a material with a similar crystal structure, contains sulfur that can potentially improve the thermoelectric performance through wi... Read More about Thermoelectric properties of single-phase n-type Bi14Te13S8.

Recognition of sounds by ensembles of proteinoids (2024)
Journal Article

Proteinoids are artificial polymers that imitate certain characteristics of natural proteins, including self-organization, catalytic activity, and responsiveness to external stimuli. This paper examines the acoustic response properties of proteinoids... Read More about Recognition of sounds by ensembles of proteinoids.

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.

The inadvertently revealing statistic: A systemic gap in statistical training? (2024)
Journal Article

While concerns around data privacy are well-known, there's a lack of awareness and training when it comes to the confidentiality risk of published statistics, argue Ben Derrick, Elizabeth Green, Felix Ritchie, Jim Smith, Paul White

Photographer-guided attributes for underwater image aesthetics (2024)
Journal Article

Automated aesthetic assessment of photographs is an active research area with applications in image editing and retrieval. There are many suggestions on the various factors of importance in making an image ‘good’ or ‘aesthetically pleasing’. However,... Read More about Photographer-guided attributes for underwater image aesthetics.

Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers (2024)
Journal Article

Distributed denial of service (DDoS) attacks pose a significant security risk, particularly with the increasing reliance on cloud computing and information technology (IT). These attacks not only allow unauthorized users to access services but also d... Read More about Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers.

On Cooperative Coevolution and Global Crossover (2024)
Journal Article

Cooperative coevolutionary algorithms (CCEAs) divide a given problem in to a number of subproblems and use an evolutionary algorithm to solve each subproblem. This letter is concerned with the scenario under which a single fitness measure exists. By... Read More about On Cooperative Coevolution and Global Crossover.

Pavlovian reflex in colloids (2024)
Journal Article

Liquid computers are devices that utilise the properties of liquid volumes or reactants to represent data and outputs. A recent development in this field is the emergence of colloid computers, which employ electromagnetic interactions among functiona... Read More about Pavlovian reflex in colloids.

An improved convolutional neural network for churn analysis (2023)
Journal Article

The significance of customer churn analysis has escalated due to the increasing availability of relevant data and intensifying competition. Researchers and practitioners are focused on enhancing prediction accuracy in modeling approaches, with deep n... Read More about An improved convolutional neural network for churn analysis.

Image enhancement approach for the underwater images using the optimized color balancing model (2023)
Journal Article

Marine resources are one of the valuable resources that need to be explored and protected, but are affected due to environmental factors. The underwater images are distorted due to the light scattering and absorption phenomenon, which draws the atten... Read More about Image enhancement approach for the underwater images using the optimized color balancing model.

Heuristic and swarm intelligence algorithms for work-life balance problem (2023)
Journal Article

Employee satisfaction significantly influences the success of business. This emphasises on the importance of employees managing their work, family and personal lives to maintain their physical and mental well-being. This is especially crucial in heal... Read More about Heuristic and swarm intelligence algorithms for work-life balance problem.

A cognitive dissonance body image intervention ‘Free Being Me’ delivered by Guide leaders to adolescent Girl Guides in India: A pilot and acceptability trial (2023)
Journal Article

This pilot study assessed the acceptability and pre-post intervention effects of a cognitive dissonance-based body image intervention, Free Being Me, delivered by Guide leaders to adolescent girls in India. Girls aged 11–14 years (Mage = 12.6, N = 11... Read More about A cognitive dissonance body image intervention ‘Free Being Me’ delivered by Guide leaders to adolescent Girl Guides in India: A pilot and acceptability trial.

Feature-based search space characterisation for data-driven adaptive operator selection (2023)
Journal Article

Combinatorial optimisation problems are known as unpredictable and challenging due to their nature and complexity. One way to reduce the unpredictability of such problems is to identify features and the characteristics that can be utilised to guide t... Read More about Feature-based search space characterisation for data-driven adaptive operator selection.

Fungal skin for robots (2023)
Journal Article

Advancements in mycelium technology, stemming from fungal electronics and the development of living mycelium composites and skins, have opened new avenues in the fusion of biological and artificial systems. This paper explores an experimental endeavo... Read More about Fungal skin for robots.

Machine learning models in trusted research environments - Understanding operational risks (2023)
Journal Article

IntroductionTrusted research environments (TREs) provide secure access to very sensitive data for research. All TREs operate manual checks on outputs to ensure there is no residual disclosure risk. Machine learning (ML) models require very large amou... Read More about Machine learning models in trusted research environments - Understanding operational risks.

Social web in IoT: Can evolutionary computation and clustering improve ontology matching for social web of things? (2023)
Journal Article

Many Internet of Things (IoT) applications can benefit from Social Web of Things (S-WoT) methods that enable knowledge discovery and help solving interoperability problems. The semantic modeling of S-WoT is the main emphasis of this work where we sug... Read More about Social web in IoT: Can evolutionary computation and clustering improve ontology matching for social web of things?.

A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD) (2023)
Journal Article

This paper presents a new framework, “colours-of-the-wind” (COLD), which is designed to estimate air quality based on images from meteorological cameras, data analytics techniques, and the application of deep learning. Existing air quality estimation... Read More about A framework for the estimation of air quality by applying meteorological images: Colours-of-the-Wind (COLD).

Evaluating a school-based body image lesson in Indonesia: A randomised controlled trial (2023)
Journal Article

Negative body image is a common public health concern among adolescents, globally. The aim of the current study was to evaluate the effectiveness, implementation fidelity, and acceptability of a single session, school-based universal body image inter... Read More about Evaluating a school-based body image lesson in Indonesia: A randomised controlled trial.

Survey improving usability of the smartphones for elders (2023)
Journal Article

The focal point of this study is the usability of smartphones for elderly individuals. Notably, Android dominates the current smartphone market share at 72.72%. This prevalence is influenced by various factors, including affordability, a diverse arra... Read More about Survey improving usability of the smartphones for elders.