This paper examines the performance of Full-Duplex Cooperative Rate Splitting(FD-CRS)with Simultaneous Wireless Information and Power Transfer(SWIPT)support in Multiple Input Single Output(MISO)*** a Rate Splitting Mu...
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This paper examines the performance of Full-Duplex Cooperative Rate Splitting(FD-CRS)with Simultaneous Wireless Information and Power Transfer(SWIPT)support in Multiple Input Single Output(MISO)*** a Rate Splitting Multiple Access(RSMA)multicast system with two local users and one remote user,the common data stream contains the needs of all users,and all users can decode the common data ***,each user can receive some information that other users need,and local users with better channel conditions can use this information to further enhance the reception reliability and data rate of users with poor channel *** using Cell-Center-Users(CCUs)as a cooperative relay to assist the transmission of common data can improve the average system *** maximize the minimum achievable rate,we optimize the beamforming vector of Base Station(BS),the common streamsplitting vector,the cooperative distributed beamvector and the strong user transmission power under the power budget constraints of BS and relay devices and the service quality requirements constraints of *** the whole problem is not convex,we cannot solve it ***,we propose a low complexity algorithm based on Successive Convex Approximation(SCA)technology to find the optimal solution to the problemunder *** simulation results show that FD C-RSMA has better gain andmore powerful than FD C-NOMA,HD C-RSMA,RSMA and NOMA.
In order to improve the cross-modal retrieval accuracy of large-scale social media images, a cross-modal retrieval method for large-scale social media images based on spatial distribution entropy is proposed. First, e...
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Lung cancer segmentation using Deep Neural Networks (DNN) needs accurate pixel-level data which is typically small. This leads to overfitting issue, and in order to alleviate this, the research is been done on L2 regu...
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Diabetes problems can lead to an eye disease called Diabetic Retinopathy(DR),which permanently damages the blood vessels in the *** not treated early,DR becomes a significant reason for *** identify the DR and determi...
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Diabetes problems can lead to an eye disease called Diabetic Retinopathy(DR),which permanently damages the blood vessels in the *** not treated early,DR becomes a significant reason for *** identify the DR and determine the stages,medical tests are very labor-intensive,expensive,and *** address the issue,a hybrid deep and machine learning techniquebased autonomous diagnostic system is provided in this *** proposal is based on lesion segmentation of the fundus images based on the LuNet *** a Refined Attention Pyramid Network(RAPNet)is used for extracting global and local *** increase the performance of the classifier,the unique features are selected from the extracted feature set using Aquila Optimizer(AO)***,the LightGBM model is applied to classify the input image based on the *** investigations have been done to analyze the performance of the proposed framework on three publically available datasets(MESSIDOR,APTOS,and IDRiD)using several performance metrics such as accuracy,precision,recall,and *** proposed classifier achieves 99.29%,99.35%,and 99.31%accuracy for these three datasets *** outcomes of the experiments demonstrate that the suggested technique is effective for disease identification and reliable DR grading.
Herein, we propose high-performance Ti/STO/n+-Si and Ag/STO/n+-Si write-once-read-many-times devices, where the resistance transition mechanisms are controlled by oxygen vacancies in the STO layer and metal atoms from...
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Medical image automatic classification has always been a research hotspot, but the existing methods suffer from the label noise problem, which either discards those samples with noisy labels or produces wrong label co...
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The Internet has become an important origin of text information, which is then used inside a wide range of research domains. This has been regarded as a necessary foundation for institutions to obtain valuable informa...
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Speech with gender opposition on the internet have been causing antagonism, gamophobia, and pregnancy phobia among young groups. Recognizing gender opposition speech contributes to maintaining a healthy online environ...
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In the period of decentralized networks and Hadoop technology, the confluence of Blockchain and Machine Learning (ML) technologies has emerged as a promising solution for ensuring robust, transparent, and private tran...
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Wireless Sensor Network (WSN) is a network with a good organization that provides efficient communication services. However, high energy usage and attack data sometimes become the key challenges that degrade the entir...
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