Understanding traffic dynamics is crucial for developing effective urban planning strategies, traffic management systems, safety analysis, emission prediction, and autonomous vehicle technologies. Traffic data can generally be categorized into…
Category: 7. Maths
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Multi-stage ESO-ADRC for frequency stabilization in off-grid systems with high renewable energy and EV penetration
The proposed control system is modeled as a multi-stage ESO-based ADRC controller, which involves multiple ESOs connected to reduce the disturbances in controller output as shown in Fig. 1, where the swing equation is defined as:
$$\Delta…
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Large language models-enabled digital twins for precision medicine in rare gynecological tumors
Study setup
We employed an RGT Digital Twin system to create personalized treatment suggestions for UCS. A real-world patient case, along with molecular profiling data, was analyzed using the RGT Digital Twin system. The findings were then…
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Dynamic of a pest management system with hibernation of pests and impulsive nonlinear release of natural enemies
Assume the following conditions:
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(i)
\(h_1>1-\frac{1}{e^{r \iota \gamma +\frac{\beta _1y^*(e^{-d_1\iota \gamma }-1)}{d_1}-c(1-\iota )\gamma +\frac{\beta…
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(i)
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Improved salp swarm algorithm-driven deep CNN for brain tumor analysis
Gholian-Jouybari, F. et al. An in-depth metaheuristic approach to design a sustainable closed-loop agri-food supply chain network. Applied Soft Computing, 150, p.111017. (2024).
Vargas, R. Beyond a deterministic representation of the temperature…
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Digital twin based deep learning framework for personalized thermal comfort prediction and energy efficient operation in smart buildings
Figure 2 presents a proposed personalized thermal comfort prediction framework that integrates an attention-enhanced LSTM model with a Digital Twin simulation environment. The core model comprises a Bidirectional LSTM with 64 units, a multi-head…
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Telescope indexing for k-nearest neighbor search algorithms over high dimensional data & large data sets
Telescope index structure for \(k\)-NN: ti\(k\)-NN
From both literature and practice, indexing plays the most significant role in reducing the number of candidates examined before finding the k-Nearest-Neighbors. ti\(k\)-NN introduces the concept…
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Reuse oriented information analysis methodology study on information analysis componentization
Information analysis can be broadly categorized into two modes: result-oriented analysis and problem-oriented analysis, based on the level of understanding of the target. Result-oriented analysis entails the analyst having a preconceived notion…
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Leveraging explainable artificial intelligence for early detection and mitigation of cyber threat in large-scale network environments
This work introduces a novel LXAIDM-CTLSN method. The aim is to detect and classify cyberattacks to achieve cybersecurity. The LXAIDM-CTLSN model encompasses processes such as data normalization, MOA-based feature selection, SDAE-based…
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A CAE model-based secure deduplication method
In traditional autoencoder models, assuming the number of labels in the label library is \(|T| = n\), the algorithm’s time complexity is \(O(n)\). The performance bottleneck lies in the compareTag method, which requires bilinear mapping…
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