All Outputs (22)

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.

Estimating defection in subscription-type markets with down-sampled representation: Analysis from the scholarly publishing industry (2023)
Preprint / Working Paper

We explore the subscription-type market within the context of customer churn, and provide analysis on the business model of such markets, and how these characterise the academic publishing business. The proposed method attempts to provide inference o... Read More about Estimating defection in subscription-type markets with down-sampled representation: Analysis from the scholarly publishing industry.

Maintenance automation using deep learning methods: A case study from the aerospace industry (2023)
Presentation / Conference Contribution

In this study, state-of-the-art AI models are employed to classify aerospace maintenance records into categories based on the fault descriptions of avionic components. The classification is performed using short natural language text descriptions pro... Read More about Maintenance automation using deep learning methods: A case study from the aerospace industry.

Problem classification for tailored help desk auto replies (2022)
Presentation / Conference Contribution

IT helpdesks are charged with the task of responding quickly to user queries. To give the user confidence that their query matters, the helpdesk will auto-reply to the user with confirmation that their query has been received and logged. This auto-re... Read More about Problem classification for tailored help desk auto replies.

Analysing the predictivity of features to characterise the search space (2022)
Presentation / Conference Contribution

Exploring search spaces is one of the most unpredictable challenges that has attracted the interest of researchers for decades. One way to handle unpredictability is to characterise the search spaces and take actions accordingly. A well-characterised... Read More about Analysing the predictivity of features to characterise the search space.

Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models (2022)
Presentation / Conference Contribution

The forecasting of large ramps in wind power output known as ramp events is crucial for the incorporation of large volumes of wind energy into national electricity grids. Large variations in wind power supply must be compensated by ancillary energy s... Read More about Integrating wind variability to modelling wind-ramp events using a non-binary ramp function and deep learning models.

Task-oriented dialogue systems: Performance vs. quality-optima, a review (2022)
Presentation / Conference Contribution

Task-oriented dialogue systems (TODS) are continuing to rise in popularity as various industries find ways to effectively harness their capabilities, saving both time and money. However, even state-of-the-art TODS are not yet reaching their full pote... Read More about Task-oriented dialogue systems: Performance vs. quality-optima, a review.

qNoise: A generator of non-Gaussian colored noise (2022)
Journal Article

We introduce a software generator for a class of colored (self-correlated) and non-Gaussian noise, whose statistics and spectrum depend on two param- eters, q and τ. Inspired by Tsallis’ nonextensive formulation of statistical physics, the so-called... Read More about qNoise: A generator of non-Gaussian colored noise.

Wind power ramp characterisation and forecasting using Numerical Weather Prediction and Machine Learning models (2021)
Presentation / Conference Contribution

AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt (2021)
Journal Article

Sustainable Farming requires up-to-date advice on crop diseases, patterns, and adequate prevention actions to face developing circumstances. Currently, in developing countries like Egypt, farmers’ access to such information is extremely limited due t... Read More about AgroSupportAnalytics: A cloud-based complaints management and decision support system for sustainable farming in Egypt.

The use and impact of Goodreads rating and reviews, for readers of Arabic Books (2019)
Journal Article

Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure (2019)
Presentation / Conference Contribution

© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. The classification of electroencephalography (EEG) signals is useful in a wide range of applications such as seizure detection/prediction, motor imagery classification,... Read More about Classification of eye-state using EEG recordings: Speed-up gains using signal epochs and mutual information measure.

Parallel tools to reconstruct and analyze large climate networks (2016)
Presentation / Conference Contribution

Par@Graph-a parallel toolbox for the construction and analysis of large complex climate networks (2015)
Journal Article

© 2015 Author(s). In this paper, we present Par@Graph, a software toolbox to reconstruct and analyze complex climate networks having a large number of nodes (up to at least 106) and edges (up to at least 1012). The key innovation is an efficient set... Read More about Par@Graph-a parallel toolbox for the construction and analysis of large complex climate networks.

The construction of complex networks from linear and nonlinear measures - Climate networks (2015)
Presentation / Conference Contribution

© The Authors. Published by Elsevier B.V. During the last decade the techniques of complex network analysis have found application in climate research. The main idea consists in embedding the characteristics of climate variables, e.g., temperature, p... Read More about The construction of complex networks from linear and nonlinear measures - Climate networks.

Parallel software tools for the construction and analysis of complex networks (2014)
Presentation / Conference Contribution

Parallel software package for the construction and analysis of complex networks (2013)
Presentation / Conference Contribution

In climate research, big and complex networks could be generated by the big climate data produced by high resolution climate models, and also observations. To analyze such complex networks, there are two main computational challenges concerning both... Read More about Parallel software package for the construction and analysis of complex networks.

Computational issues in complex network analysis (2013)
Presentation / Conference Contribution

Tuning G-ensemble to improve forecast skill in numerical weather prediction models (2012)
Book Chapter

The process of weather forecasting produced by numerical weather prediction (NWP) models is complex and not always accurate. Moreover, it is generally defined by its very nature as a process that has to deal with uncertainties. In previous works, a n... Read More about Tuning G-ensemble to improve forecast skill in numerical weather prediction models.

Parallel multi-level genetic ensemble for numerical weather prediction enhancement (2012)
Presentation / Conference Contribution

The need for reliable predictions in environmental modelling is well-known. Particularly, the predicted weather and meteorological information about the future atmospheric state is crucial and necessary for almost all other areas of environmental mod... Read More about Parallel multi-level genetic ensemble for numerical weather prediction enhancement.