In this section, the local asymptotic stability of the equilibrium points are analyzed. To do this, we compute the variational matrix \((J_E)\) of the system (3) around each of the equilibrium point E(C, P, Z) as follows:
$$\begin{aligned}…
Category: 7. Maths
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Mondragon Unibertsitatea face-milling dataset for smart tool condition monitoring
The MU-TCM dataset is a face-milling dataset for tool condition monitoring, specifically measuring tool wear. To create this dataset, a four-step methodology was defined: design of experiments (DOE), experimental setup, data collection, and data…
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Estimating treatment sensitivity in synthetic and in vitro tumors using a random differential equation model
In this section, we present results from the mathematical model incorporating sensitivity as a random variable. We briefly explain the model here, but refer the reader to the methods section for a discussion on implementation. We propose…
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A robust and statistical analyzed predictive model for drug toxicity using machine learning
Antelo-Collado, A., Carrasco-Velar, R. & García-Pedrajas, N. Cerruela-García, G. Effective feature selection method for Class-Imbalance datasets applied to chemical toxicity prediction. J. Chem. Inf. Model. 61, 76–94 (2021).
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ASLDetect: Arabic sign language detection using ResNet and U-Net like component
After designing our method, a set of experiments was conducted to evaluate its performance. This section presents details on the state-of-the-art models, datasets, model training procedures, and evaluation metrics utilized in the study.
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Modeling treatment of diabetic wounds with oxygen therapy and senolytic drug
Kwan, P. O. & Tredget, E. E. Biological principles of scar and contracture. Hand Clin. 33(2), 277–292 (2017).
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Sadeghi-Ardebili, M., Hasannia, S., Dabirmanesh, B. &…
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Optimal approximate computation of Euclidean distance in spiking neural P systems framework
Implementation concept
We perform the approximation with 4 bits. According to43, we have to represent the parameters a and b in 4 bits in Table 1.
Table 1 4-bit implementation concept With the simulation of all possible input values for x and y, we…
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Agile DQN: adaptive deep recurrent attention reinforcement learning for autonomous UAV obstacle avoidance
This section first outlines the experimental setup for the AG-DQN algorithm assessment. Next, a detailed presentation of the derived results is provided, with a thorough analysis delving into the algorithm’s performance compared to other…
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Predicting cardiovascular risk with hybrid ensemble learning and explainable AI
Data collection and preprocessing
A high-quality dataset is used collecting all of the influencing factors for heart disease. To this end, three publicly available datasets were employed from the IEEE Dataport44 Cardiovascular Disease Dataset,…
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Intelligent approach to detecting online fraudulent trading with solution for imbalanced data in fintech forensics
To validate the proposed model for detecting online fraudulent trading in the realm of Fintech, many experiments were conducted. These experiments aim to evaluate the model’s robustness, effectiveness, and generalization capability while…
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