Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review
Urban flooding has made it necessary to gain a better understanding of how well gully pots
perform when overwhelmed by solids deposition due to various climatic and anthropogenic …
perform when overwhelmed by solids deposition due to various climatic and anthropogenic …
A review on bio-inspired optimization method for supervised feature selection
Feature selection is a technique that is commonly used to prepare particular significant
features or produce understandable data for improving the task of classification. Bio-inspired …
features or produce understandable data for improving the task of classification. Bio-inspired …
Intrapreneurship in the time of Covid
For individuals and firms, traditional sources of competitive advantage are being eroded.
Competitive advantage today is not built upon product markets, but in upstream markets of …
Competitive advantage today is not built upon product markets, but in upstream markets of …
Features of human-centred algorithm design
Algorithms are pervasive, unseen influencers of decisions. Algorithmic features can fluctuate
widely, depending on use, user or criteria applied. This paper considers the nascent field of …
widely, depending on use, user or criteria applied. This paper considers the nascent field of …
Remuneration review: Risk, planning, and modelling beyond the Covid crisis
Organisations that have survived Covid-19 jolts, uncertainties and lockdowns now require
business intelligence and information system integration for decision support. Risks and …
business intelligence and information system integration for decision support. Risks and …
Two-step feature selection technique for secure and lightweight internet of things
SE Jeon, YS Oh, YS Kil, YJ Lee… - 2023 32nd International …, 2023 - ieeexplore.ieee.org
With the arrival of the information age, the amount of usable high-dimensional data is rapidly
increasing; however, the vast amount of unrefined data may deteriorate the performance of …
increasing; however, the vast amount of unrefined data may deteriorate the performance of …
[PDF][PDF] Cracking the COVID-19 code: Cutting-edge collaboration
The pandemic created by Coronavirus (SARS-CoV-2) sent shockwaves worldwide, first for
humanity and then for the economy. By mid-April, 2020, it was possible to pause and reflect …
humanity and then for the economy. By mid-April, 2020, it was possible to pause and reflect …
[PDF][PDF] Analytics for managers
B Pace, M Cherrington - Scope: Contemporary Research Topics …, 2020 - thescopes.org
The aim of this paper, Analytics for Managers, is to provide the skills needed to evaluate
critically data for decisionmaking within applied management. Learners obtain, relate …
critically data for decisionmaking within applied management. Learners obtain, relate …
Deep learning for sustainable asset management decision-making.
Asset management requires a more sophisticated approach for sustainable data-driven
decision-making. Organisations operate in dynamic, interconnected and uncertain …
decision-making. Organisations operate in dynamic, interconnected and uncertain …
[PDF][PDF] Assessing organisational climate change risk
Strategy and risk are two sides of the same coin. Hindsight has proven that risk from a global
pandemic was underestimated; Coronavirus forced organisations to re-evaluate their …
pandemic was underestimated; Coronavirus forced organisations to re-evaluate their …