In this section, we evaluate the performance of the keystroke dynamics and gait-based authentication modules, both individually and in combination, within a multi-modal continuous authentication framework. The goal is to assess the effectiveness…
Category: 7. Maths
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A novel extension of the power lindley distribution with statistical properties and application to COVID-19 data
Moments
The \(q^{th}\) moment about origin for the EOLxPL distribution usually denoted by \(\mu^{\prime}_{q}\) is given by
$$\mu^{\prime}_{q} = E(Z^{q} ) = \int\limits_{0}^{\infty } {z^{q} \varphi (z; \alpha , \beta , \gamma , \delta ,\lambda )}…
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Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland
Data pre-processing modular
Sample entropy (SEn)
SEn is generally utilized to measure the probability of a new pattern appearing in the time series, and to measure its complexity with the advantage that the calculated outcome has no dependence on…
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A scalable machine learning strategy for resource allocation in database
Dataset description
To validate the robustness of our framework, experiments were conducted on multiple widely-used real-world and synthetic cloud workload datasets:
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Google Cluster Trace: A large-scale…
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Modeling bacterial growth and Allee effect via Allen-Cahn theoretical framework
In the following section, we state the initial-boundary value problem for the Allen-Cahn-based model of nutrient-dependent growth of bacteria and perform its theoretical analysis, especially with respect to the unique solvability.
Formalization of…
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Visual language transformer framework for multimodal dance performance evaluation and progression monitoring
This section presents a comprehensive evaluation of the proposed model’s performance across multiple tasks using two key datasets: the AIST++31 and ImperialDance8 datasets. The datasets provide diverse dance motion and music data, essential for…
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Intelligent resource allocation in internet of things using random forest and clustering techniques
The following paper, therefore, proposes an intelligent technique for resource allocation in IoT networks using machine learning algorithms and clustering techniques. The proposed approach will contribute to improving efficiency, reducing energy…
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Machine learning-enhanced fully coupled fluid–solid interaction models for proppant dynamics in hydraulic fractures
Statistical analysis of symbolic and CFD-inspired datasets
A detailed statistical analysis was conducted to evaluate and contrast the characteristics of two datasets used to model proppant settling rate (PSR): (i) a symbolic dataset generated…
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SciToolAgent: a knowledge-graph-driven scientific agent for multitool integration
Birhane, A., Kasirzadeh, A., Leslie, D. & Wachter, S. Science in the age of large language models. Nat. Rev. Phys. 5, 277–280 (2023).
Schick, T. et al. Toolformer: language models can teach…
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Neural radiance fields assisted by image features for UAV scene reconstruction
Datasets
In this paper, we used a DJI Mini 3 drone to capture images across various campus environments. A total of three scenes with distinct geometric characteristics were recorded. In addition, we incorporated two public datasets from the OMMO…
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