Definition 1
The Liouville-Caputo fractional order derivative of order θ ∈ [0,1) is defined as follows:25,56.
$$_{0}^{C} D_{t}^{\theta } x(t) = \frac{1}{{\left| {\overline{{{\mkern 1mu} \left( {1 – \theta }…
Category: 7. Maths
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Prediction of surface drifter trajectories in the South China sea using deep learning
Prediction based on drifter trajectory data
In addition to the Informer model, this study also constructed four other models—RNN, LSTM, GRU, and Transformer—utilizing the same training data for comparative analysis. Each of these models…
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Hybrid GA-SQP neural network frame for solving english language learning
While GA and SQP hybrids have been previously employed for optimization problems, they have yet to be used in differential-equation-based, language-learning models. Our framework is novel in three ways:
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Domain…
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Cyber resilient framework with energy efficient swarm routing and ensemble threat detection in fog assisted wireless sensor networks
Proposed Ant Colony optimization is holistic approach to optimized routing implementation in fog computing networks that are secured using ensemble-based intrusion detection. All the system incorporates Ant Colony Optimization (ACO) in terms of…
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ORBITaL-Net: A labeled training library for large-scale building feature extraction
Background
In the last decade, the convergence of big data, automation, and artificial intelligence (AI) has made the possibility of building- level mapping at global scale a reality. In step with these technological advancements, the value of…
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Modelling crop growth and soil hydrothermal regimes under conservation agriculture using APSIM-wheat
Kassam, A., Friedrich, T. & Derpsch, R. Global spread of conservation agriculture. Int. J. Environ. Sci. 76, 29–51 (2018).
Fowler, R. & Rockström, J. Conservation tillage for sustainable…
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A comparative study of machine learning methods for predicting mode I and II brittle fracture in notched bend specimens
Data set visualisation
Table 2 presents the characteristics of the dataset used in this study. The input variables across the datasets demonstrate relatively small ranges. For instance, the maximum values in input variables are not substantially…
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Enhancing virtual physically unclonable function security through neuron-criticality analysis and lightweight encryption
Neuron ablation is a fundamental technique in model interpretability that involves deliberately disabling individual neurons, groups of neurons, or even entire layers within a neural network. This can be done by zeroing out their outputs. The…
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A ballistocardiogram dataset with reference ECG signals for bed-based heart rhythm assessment
Lloyd-Jones, D. M. et al. Defining and Setting National Goals for Cardiovascular Health Promotion and Disease Reduction. Circulation 121, 586–613 (2010).
Google Scholar
Ansari, M….
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Accelerating the tuning process for optimizing DNN operators by ROFT model
Overview
Fig. 2 Figure 2 presents the overall design of ROFT, including a rule-based cost model and a two-stage search algorithm.
Based on the concept of compute/schedule separation, TVM requires developers to write schedule optimization templates…
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