Overview
In this section, the proposed method, MRVS, based on millimeter wave radar, is described in detail, and the flow is shown in Fig. 2. The process consists of three parts: signal processing and enhancement, vital signal decomposition, and…
Category: 7. Maths
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Multihop cost awareness task migration with networking load balance technology for vehicular edge computing
The simulation platform uses Intel Core i7-8655U CPU processorwith a maximum frequency of 4.60 GHz. We constructed 21 cooperative VEC servers using the Matlab simulator (i.e., a local VEC serve and 20 neighboring edge servers connected to the…
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A self evolving high performance sharded consortium blockchain designed for secure and trusted resource sharing for 6G networks
In order to map the virtual elements in the blockchain virtual network to suitable physical elements, this paper adopts the “Resource Value Method” (RVM) to score node resources. The evaluation of resource value consists of two parts:…
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Novel feature-based method for multi-modal biomedical image registration compared to intensity-based technique
Tran, K. A. et al. Deep learning in cancer diagnosis, prognosis and treatment selection. Genome Med. 13, 1–17 (2021).
Sharma, D. & Jindal, G. in International Conference on Computational…
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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction
In the experimental section, we conducted hyperparameter tuning for the proposed MTLPT model, performed comparative experiments with commonly used STL models and state-of-the-art approaches in vulnerability prediction, and carried out ablation…
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Modelling and algorithms of highway transportation network in urban agglomerations
Relationships among road segment attributes
The length of the road segment is static, while the speed, time, traffic flow and state are dynamic and changing with time. The speed of the road segment can only get the average speed of the whole road…
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RIS-assisted anti-spatial aliasing direct localization in NLOS scenarios via spatio-temporal-frequency information fusion
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Spatial sparse reconstruction.
To obtain the target location information, we leverage the signal’s sparsity through…
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Hybrid FAHP-FTOPSIS methodology for objective football player selection and ranking
Player rankings
Data was collected through completed questionnaires to derive the player rankings, which provided insights into the importance of various criteria (anthropometric, fitness, and skills) and performance evaluations for each of the 20…
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A novel dynamic scheduling model for application in multimode approach
Experimental background
This section describes the experimental background adopted to validate the proposed approach. Initially, an advanced example will be treated in order to illustrate the application of the proposed approach in a specific and…
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy
This study proposes a hybrid model that integrates CNN, LSTM networks, and the SMA to enable a comprehensive, multidimensional, and dynamic evaluation of agricultural industry transformation outcomes. A core innovation of the model lies in the…
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