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Implicit Continuous User Authentication for Mobile Devices based on Deep Reinforcement Learning 基于深度强化学习的移动设备隐式连续用户认证
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.025672
Christy James Jose, M. Rajasree
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引用次数: 0
CNTFET Based Fully Differential First Order All Pass Filter 基于CNTFET的全微分一阶全通滤波器
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.027570
M. I. Masud, Iqbal A. Khan
A novel, carbon nanotube field effect transistor (CNTFET) based fully differential first order all pass filter (FDFAPF) circuit configuration is presented. The FDFAPF uses CNTFET based negative transconductors (NTs) and positive transconductors (PTs) in its realization. The proposed circuit topology employs two PTs, two NTs, two resistors and one capacitor. All the passive components of the realized topology are grounded. Active only fully differential first order all pass filter (AO-FDFAPF) topology is also derived from the proposed FDFAPF. The electronic tunability of the AO-FDFAPF is obtained by controlling the employed CNTFET based varactor. A tunabilty of pole frequency in the range of 10.5 to 26 GHz is obtained. Both the circuits are potential candidates for high frequency fully differential analog signal processing applications. As compared to prior state-of-the-art works, both the realized topologies have achieved highest pole frequency and lowest power dissipation. Moreover, they utilize compact circuit structures and suitable for low voltage applications. Moreover, both topologies work equally well in the deep submicron. The proposed filters are analyzed and verified through HPSPICE simulations by utilizing Stanford CNTFET model at 16 nm technology node. It is observed that the proposed circuit simulation outcomes verify the theory.
提出了一种基于全微分一阶全通滤波器(FDFAPF)的新型碳纳米管场效应晶体管(CNTFET)电路结构。FDFAPF在其实现中使用基于CNTFET的负电导器(nt)和正电导器(PTs)。所提出的电路拓扑采用两个pt、两个nt、两个电阻和一个电容。所实现拓扑的所有无源元件均接地。有源全微分一阶全通滤波器(AO-FDFAPF)拓扑也由所提出的FDFAPF导出。通过控制所采用的基于CNTFET的变容来实现AO-FDFAPF的电子可调性。在10.5 ~ 26ghz范围内具有极频可调性。这两种电路都是高频全差分模拟信号处理应用的潜在候选者。与现有的先进技术相比,这两种拓扑结构都实现了最高的极点频率和最低的功耗。此外,它们采用紧凑的电路结构,适合低电压应用。此外,这两种拓扑结构在深亚微米中同样有效。利用Stanford CNTFET模型在16nm技术节点上进行HPSPICE仿真,对所提出的滤波器进行了分析和验证。所提出的电路仿真结果验证了理论的正确性。
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引用次数: 1
Effective Customer Review Analysis Using Combined Capsule Networks with Matrix Factorization Filtering 结合胶囊网络和矩阵分解滤波的有效顾客评论分析
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.029148
K. Selvasheela, A. M. Abirami, Abdul Khader Askarunisa
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引用次数: 0
An Improved Deep Structure for Accurately Brain Tumor Recognition 一种用于准确识别脑肿瘤的改进深层结构
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.034375
M. M. Ata, R. Yousef, F. Karim, D. S. Khafaga
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引用次数: 0
Battle Royale Optimization-Based Resource Scheduling Scheme for Cloud Computing Environment 基于大逃杀优化的云计算环境下资源调度方案
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.034727
R. Babu, R. Suji, D. Anand
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引用次数: 0
Evaluation of Grid-Connected Photovoltaic Plants Based on Clustering Methods 基于聚类方法的光伏并网电站评价
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.033168
Amr A. Munshi
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引用次数: 0
Spotted Hyena Optimizer Driven Deep Learning-Based Drug-Drug Interaction Prediction in Big Data Environment 斑点鬣狗优化器驱动的基于深度学习的大数据环境下药物相互作用预测
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.037580
Mohammed Jasim Mohammed Jasim, S. F. Kak, Z. Ageed, Subhi R. M. Zeebaree
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引用次数: 0
Anomaly Detection and Classification in Streaming PMU Data in Smart Grids 智能电网PMU流数据的异常检测与分类
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.029904
A. Amutha, R. Uthra, J. Roselyn, R. Brunet
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引用次数: 0
MSF-Net: A Multilevel Spatiotemporal Feature Fusion Network Combines Attention for Action Recognition MSF-Net:一种结合注意力的多层次时空特征融合网络
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.040132
Mengmeng Yan, Chuang Zhang, Jinqi Chu, Haichao Zhang, Tao Ge, Suting Chen
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引用次数: 0
Constructing an AI Compiler for ARM Cortex-M Devices 构建ARM Cortex-M设备的AI编译器
IF 2.2 4区 计算机科学 Q2 Computer Science Pub Date : 2023-01-01 DOI: 10.32604/csse.2023.034672
Rong-Guey Chang, Tam-Van Hoang
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引用次数: 0
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