Pub Date : 1900-01-01DOI: 10.32604/cmc.2023.030789
Salwa M. Serag Eldin, Ahmed Sedik, Sultan S. Alshamrani, Ahmed M. Ayoup
{"title":"Cancellable Multi-Biometric Feature Veins Template Generation Based on SHA-3 Hashing","authors":"Salwa M. Serag Eldin, Ahmed Sedik, Sultan S. Alshamrani, Ahmed M. Ayoup","doi":"10.32604/cmc.2023.030789","DOIUrl":"https://doi.org/10.32604/cmc.2023.030789","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122817825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.32604/cmc.2023.034399
Shimaa Ouf
{"title":"An Optimized Deep Learning Approach for Improving Airline Services","authors":"Shimaa Ouf","doi":"10.32604/cmc.2023.034399","DOIUrl":"https://doi.org/10.32604/cmc.2023.034399","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122851039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.32604/cmc.2022.027532
Mohammed Basheri, Mohammad Haseeb Zafar, Imran Khan
: In the power domain, non-orthogonal multiple access (NOMA) supports multiple users on the same time-frequency resources, assigns different transmission powers to different users, and differentiates users by user channel gains. Multi-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing con-trollable interference information, and multi-user detection algorithms, such as successive interference cancellation (SIC) is performed at the receiving end to demodulate the necessary user signals. In contrast to the orthogonal transmission method, the non-orthogonal method can achieve higher spectrum utilization. However, it will increase the receiver complexity. With the development of microelectronics technology, chip processing capabilities continue to increase, laying the foundation for the practical application of non-orthogonal transmission technology. In NOMA, different users are differentiated by different power levels. Therefore, the power allocation has a considerable impact on the NOMA system performance. To address this issue, the idea of splitting power into two portions, intra-subbands and inter-subbands, is proposed in this study as a useful algorithm. Then, such optimization problems are solved using proportional fair scheduling and water-filling algorithms. Finally, the error propagation was modeled and analyzed for the residual interference. The proposed technique effectively increased the system throughput and performance under various operating settings according to simulation findings. A comparison is performed with existing algorithms for performance evaluation.
{"title":"Power Allocation in NOMA-CR for 5G Enabled IoT Networks","authors":"Mohammed Basheri, Mohammad Haseeb Zafar, Imran Khan","doi":"10.32604/cmc.2022.027532","DOIUrl":"https://doi.org/10.32604/cmc.2022.027532","url":null,"abstract":": In the power domain, non-orthogonal multiple access (NOMA) supports multiple users on the same time-frequency resources, assigns different transmission powers to different users, and differentiates users by user channel gains. Multi-user signals are superimposed and transmitted in the power domain at the transmitting end by actively implementing con-trollable interference information, and multi-user detection algorithms, such as successive interference cancellation (SIC) is performed at the receiving end to demodulate the necessary user signals. In contrast to the orthogonal transmission method, the non-orthogonal method can achieve higher spectrum utilization. However, it will increase the receiver complexity. With the development of microelectronics technology, chip processing capabilities continue to increase, laying the foundation for the practical application of non-orthogonal transmission technology. In NOMA, different users are differentiated by different power levels. Therefore, the power allocation has a considerable impact on the NOMA system performance. To address this issue, the idea of splitting power into two portions, intra-subbands and inter-subbands, is proposed in this study as a useful algorithm. Then, such optimization problems are solved using proportional fair scheduling and water-filling algorithms. Finally, the error propagation was modeled and analyzed for the residual interference. The proposed technique effectively increased the system throughput and performance under various operating settings according to simulation findings. A comparison is performed with existing algorithms for performance evaluation.","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"100 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114123140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.32604/cmc.2023.036178
Ren Tao, Chen Shuang
{"title":"Weakly Supervised Abstractive Summarization with Enhancing Factual Consistency for Chinese Complaint Reports","authors":"Ren Tao, Chen Shuang","doi":"10.32604/cmc.2023.036178","DOIUrl":"https://doi.org/10.32604/cmc.2023.036178","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114270608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.32604/cmc.2022.026672
El-Sayed M. El-kenawy, Zeeshan Shafi Khan, Abdelhameed Ibrahim, Bandar Abdullah Aloyaydi, H. Arafat Ali, Ali E. Takieldeen
{"title":"Metaheuristic Optimization for Mobile Robot Navigation Based爋n燩ath燩lanning","authors":"El-Sayed M. El-kenawy, Zeeshan Shafi Khan, Abdelhameed Ibrahim, Bandar Abdullah Aloyaydi, H. Arafat Ali, Ali E. Takieldeen","doi":"10.32604/cmc.2022.026672","DOIUrl":"https://doi.org/10.32604/cmc.2022.026672","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114425429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.32604/cmc.2022.023919
Thavavel Vaiyapuri, S. Srinivasan, Mohamed Yacin Sikkandar, T. S. Balaji, Seifedine Kadry, Maytham N. Meqdad, Yun-Seong Nam
{"title":"Intelligent Deep Learning Based Multi-Retinal Disease Diagnosis and Classification Framework","authors":"Thavavel Vaiyapuri, S. Srinivasan, Mohamed Yacin Sikkandar, T. S. Balaji, Seifedine Kadry, Maytham N. Meqdad, Yun-Seong Nam","doi":"10.32604/cmc.2022.023919","DOIUrl":"https://doi.org/10.32604/cmc.2022.023919","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114499229","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Role of Deep Learning in Parking Space Identification and燩rediction燬ystems","authors":"Faizan Rasheed, Y. Saleem, Kok-Lim Alvin Yau, Yung-Wey Chong, Sye Loong Keoh","doi":"10.32604/cmc.2023.034988","DOIUrl":"https://doi.org/10.32604/cmc.2023.034988","url":null,"abstract":"","PeriodicalId":329824,"journal":{"name":"Computers, Materials & Continua","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121876053","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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