The immediate international spread of severe acute respiratory syn-drome revealed the potential threat of infectious diseases in a closely integrated and interdependent world.When an outbreak occurs,each country must ...The immediate international spread of severe acute respiratory syn-drome revealed the potential threat of infectious diseases in a closely integrated and interdependent world.When an outbreak occurs,each country must have a well-coordinated and preventative plan to address the situation.Information and Communication Technologies have provided innovative approaches to dealing with numerous facets of daily living.Although intelligent devices and applica-tions have become a vital part of our everyday lives,smart gadgets have also led to several physical and psychological health problems in modern society.Here,we used an artificial intelligence AI-based system for disease prediction using an Artificial Neural Network(ANN).The ANN improved the regularization of the classification model,hence increasing its accuracy.The unconstrained opti-mization model reduced the classifier’s cost function to obtain the lowest possible cost.To verify the performance of the intelligent system,we compared the out-comes of the suggested scheme with the results of previously proposed models.The proposed intelligent system achieved an accuracy of 0.89,and the miss rate 0.11 was higher than in previously proposed models.展开更多
随着第六代移动通信(the six generation,6G)的前沿研究在全球范围内陆续开展,工业界和学术界提出了多种新技术、新频段和新应用,如通信感知一体化(integrated sensing and communication,ISAC)、超大规模多输入多输出天线阵列(extra-la...随着第六代移动通信(the six generation,6G)的前沿研究在全球范围内陆续开展,工业界和学术界提出了多种新技术、新频段和新应用,如通信感知一体化(integrated sensing and communication,ISAC)、超大规模多输入多输出天线阵列(extra-large-scale massive multiple-input multiple-output,XLMIMO)、多频段通信、可重构智能超表面(reconfigurable intelligent surface,RIS)和空-天-地-海通信等,旨在提供更高速率、更低时延、更广覆盖的高可靠移动通信服务.信道是移动通信系统收发端之间信号承载的媒介,其深入的传播特性发现与精确的建模对6G系统的研发、评估和优化至关重要.因此本文首先回顾了第一代到第五代移动通信的信道研究发展趋势,指出了多频段、多场景和多种新技术趋势下6G信道研究面临的挑战.随后,详细总结了6G信道新特性研究的最新进展,包括ISAC信道的共享性、XL-MIMO信道的近场和空间非平稳性、RIS信道的级联特性,以及多频段信道频率依赖性等.然后,本文提出了一种面向6G标准的扩展几何统计性信道模型,将所发现的信道新特性纳入统一建模框架,所提模型后向兼容主流的高精度5G标准模型,便于代际更迭的信道仿真器实现.最后,指出了面向6G演进的信道特性与建模方法研究有待深入的问题,并聚焦6G网络自治化的未来愿景,展望了一种基于环境感知重构和人工智能预测技术的信道数字孪生新范式.展开更多
文摘The immediate international spread of severe acute respiratory syn-drome revealed the potential threat of infectious diseases in a closely integrated and interdependent world.When an outbreak occurs,each country must have a well-coordinated and preventative plan to address the situation.Information and Communication Technologies have provided innovative approaches to dealing with numerous facets of daily living.Although intelligent devices and applica-tions have become a vital part of our everyday lives,smart gadgets have also led to several physical and psychological health problems in modern society.Here,we used an artificial intelligence AI-based system for disease prediction using an Artificial Neural Network(ANN).The ANN improved the regularization of the classification model,hence increasing its accuracy.The unconstrained opti-mization model reduced the classifier’s cost function to obtain the lowest possible cost.To verify the performance of the intelligent system,we compared the out-comes of the suggested scheme with the results of previously proposed models.The proposed intelligent system achieved an accuracy of 0.89,and the miss rate 0.11 was higher than in previously proposed models.
