Pitch identification of an acoustic signal is made possible by the precise capacity of the organ of Corti to identify all the frequencies composing the sound1,2. This is possible thanks to the resonance characteristics of the basilar membrane; at…
Category: 7. Maths
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Optimized machine learning mechanism for big data healthcare system to predict disease risk factor
The Windows 10 Python Environment is used to validate the proposed DRFBPS model. The datasets have been collected, and they undergo preprocessing to remove errors and feature selection to select the needed features for accurate prediction. The…
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Fracture propagation characteristics and failure mechanisms of parallel-fractured sandstone
Rock materials and contact modeling
The test sandstone specimens were taken from the Baoanying Tunnel of the Chengkun Railway, which are mainly fine-grained non-homogeneous material crystallized in a blocky structure, with an average unit weight…
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A cross-chain model for warehouse receipts in port supply chain based on notary mechanism and ShangMi cryptographic algorithms
System overall architecture
The system is designed with a “3 + 1” multi-chain architecture that integrates three business-specific chains along with a cross-chain management platform, promoting secure data exchange and effective…
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Multi-scene image fusion via memory aware synapses
Implementation details
The proposed network code is implemented by the Pytorch2.1.0 framework in Python version 3.10, trained and tested on Ubuntu20.04 using Nvidia 3090. For the first stage of training, this paper selects all the visible and…
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Identifying determinants of malnutrition in under-five children in Bangladesh: insights from the BDHS-2022 cross-sectional study
Pelletier, D. L. & Frongillo, E. A. Changes in child survival are strongly associated with changes in malnutrition in developing countries. J. Nutr. 133(1), 107–119 (2003).
Google…
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Ambulance route optimization in a mobile ambulance dispatch system using deep neural network (DNN)
The proposed system is divided into three phases. First, the dataset is collected and analyzed via a decision tree algorithm, which predicts the need for ambulances on the basis of collected historical data, allowing ambulances to be available…
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A ternary encoding network fusing scale awareness and large kernel attention for camouflaged object detection
Overall architecture
Our method draws inspiration from the ideas of ZoomNet34, which simulates the human behavior of zooming in and out when observing objects, with the aim of fully capturing valuable cues at different scales that facilitate the…
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EEG-based epilepsy detection using CNN-SVM and DNN-SVM with feature dimensionality reduction by PCA
Performance comparison of different methods
After 50 epochs, the results from different machine learning models (CNN, DNN) with different configurations (with or without SVM, PCA) were achieved, showing several performance metrics, including…
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Digital economy and entrepreneurial vitality: unveiling the impact and mechanisms through the lens of smart cities
In this study, we employ a Difference-in-Differences (DID) model for empirical analysis to delve into the interrelationships between the digital economy, business environment, social credit, and urban entrepreneurial activity. The specific…
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