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Deep Fusion Module for Video Action Recognition 用于视频动作识别的深度融合模块
Pub Date : 2024-03-07 DOI: 10.1142/s0218126624502475
Yunyao Li, Zihao Zheng, Mingliang Zhou, Guangchao Yang, Xuekai Wei, Huayan Pu, Jun Luo
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引用次数: 0
A Novel Design of 16-bit Multi-Mode 4-Channel Time-Interleaved Delta-Sigma Digital-to-Analog Converter 16 位多模 4 通道交织三角积分数模转换器的新型设计
Pub Date : 2024-03-07 DOI: 10.1142/s0218126624502487
Abolfazl Roshanpanah, P. Torkzadeh, Khosrow Hajsadeghi, M. Dousti
{"title":"A Novel Design of 16-bit Multi-Mode 4-Channel Time-Interleaved Delta-Sigma Digital-to-Analog Converter","authors":"Abolfazl Roshanpanah, P. Torkzadeh, Khosrow Hajsadeghi, M. Dousti","doi":"10.1142/s0218126624502487","DOIUrl":"https://doi.org/10.1142/s0218126624502487","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":"2 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140258749","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}
引用次数: 0
A Novel Approach for Realizing Loop-Filter in Low-Distortion Noise-coupled ΣΔ Modulators 在低失真噪声耦合 ΣΔ 调制器中实现环路滤波器的新方法
Pub Date : 2024-03-07 DOI: 10.1142/s0218126624502499
Sahar Doolabi, Mehdi Taghizadeh, M. Fatehi, J. Jamali
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引用次数: 0
Assessment of Power System Stability During Transients Using Deep Residual Shrinkage Network and CBAM Integration 利用深度残余收缩网络和 CBAM 集成评估瞬态期间的电力系统稳定性
Pub Date : 2024-03-01 DOI: 10.1142/s0218126624502463
Qiang Wang, Zifan Nie, Hongwei Liu
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引用次数: 0
Power Attack Vulnerability Assessment of Circuit Level PRESENT Encryption IP Using Artificial Intelligence Mechanisms 利用人工智能机制评估电路级 PRESENT 加密 IP 的电源攻击漏洞
Pub Date : 2024-03-01 DOI: 10.1142/s0218126624502451
Kailash Natarajan, R. Sricharan, M. Thriambak, Anjana Jyothi Banu, A. Prathiba, V. S. Kanchana Bhaaskaran
{"title":"Power Attack Vulnerability Assessment of Circuit Level PRESENT Encryption IP Using Artificial Intelligence Mechanisms","authors":"Kailash Natarajan, R. Sricharan, M. Thriambak, Anjana Jyothi Banu, A. Prathiba, V. S. Kanchana Bhaaskaran","doi":"10.1142/s0218126624502451","DOIUrl":"https://doi.org/10.1142/s0218126624502451","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":"44 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140085821","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}
引用次数: 0
A Low power tunable differentiator using voltage difference transconductance amplifier (VDTA) for tunable PD controller 一种使用电压差跨导放大器 (VDTA) 的低功耗可调微分器,用于可调微分控制器
Pub Date : 2024-02-29 DOI: 10.1142/s0218126624502438
Santosh Routu, S. Chandra, M. Shanmukha Priya, Pankaj Kumar
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引用次数: 0
A proactive self-adaptation approach based on ensemble prediction for service-based systems 基于服务系统集合预测的主动自适应方法
Pub Date : 2024-02-16 DOI: 10.1142/s0218126624502347
Shenglong Xie, Lu Wang, Qingshan Li, Xiangtian Guo
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引用次数: 0
Impact of Variability on Novel Transistor Configurations in Adder Circuits at 7nm FinFET Technology 变异性对 7 纳米 FinFET 技术加法器电路中新型晶体管配置的影响
Pub Date : 2024-02-16 DOI: 10.1142/s0218126624502372
Umayia Mushtaq, M. W. Akram, Dinesh Prasad, Aminul Islam, B. Nagar
{"title":"Impact of Variability on Novel Transistor Configurations in Adder Circuits at 7nm FinFET Technology","authors":"Umayia Mushtaq, M. W. Akram, Dinesh Prasad, Aminul Islam, B. Nagar","doi":"10.1142/s0218126624502372","DOIUrl":"https://doi.org/10.1142/s0218126624502372","url":null,"abstract":"","PeriodicalId":508131,"journal":{"name":"Journal of Circuits, Systems and Computers","volume":"51 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139961517","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}
引用次数: 0
Leveraging Variable Density Honeycomb Structures for Innovative Design in Mission-Critical Embedded Devices 利用可变密度蜂窝结构实现关键任务嵌入式设备的创新设计
Pub Date : 2024-02-16 DOI: 10.1142/s0218126624502359
Xi Yan, Song Pang, Naixun Zhou, B. Pang, Bei Peng, Zhi Zeng
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引用次数: 0
A Small Target Segmentation-Based Assistive Medical Diagnosis Method via Multimedia Data Analysis 基于小目标分割的多媒体数据分析辅助医疗诊断方法
Pub Date : 2024-02-09 DOI: 10.1142/s0218126624501810
Tao Chen, Yanfeng Huang, Yuping Li
The assistive medical diagnosis via multimedia data analysis has been a hot research topic in the area of intelligent health management, which saves a lot of human labor for the hospital. In that, a typical task is to detect and extract key small targets from the medical images. How to ensure detection speed and recognition precision is of great importance to the final practicability of the intelligent techniques. In this paper, we proposed a small target segmentation-based intelligent assistive diagnosis method for this purpose. In the stage of data pre-processing, data enhancement is employed to reduce the effects caused by noise, blur, and low image contrast. In the stage of decoding, a new upsampling method is designed to compensate for information in space and channels to help the network recover feature map resolution, reduce information loss, and improve the segmentation accuracy of smaller tissues or lesions. Such design of a multi-scale adaptive detail feature fusion module is able to make full use of features at different scales to recover high-level detail features, thus improving the segmentation accuracy of structurally complex tissues. Some simulative experiments aided by deep learning programming tools are conducted on the real-world multimedia data (CT, MRI, PET, etc.), so as to evaluate the proposed assistive diagnosis method. It can be concluded from the achieved results that the proposal is well suitable for multimedia data analysis of the experimental scenes.
通过多媒体数据分析进行辅助医疗诊断一直是智能健康管理领域的热门研究课题,可为医院节省大量人力。其中,一项典型的任务就是从医学图像中检测和提取关键的小目标。如何保证检测速度和识别精度,对智能技术的最终实用性具有重要意义。为此,本文提出了一种基于小目标分割的智能辅助诊断方法。在数据预处理阶段,我们采用了数据增强技术来降低噪声、模糊和图像对比度低造成的影响。在解码阶段,设计了一种新的上采样方法来补偿空间和通道信息,帮助网络恢复特征图分辨率,减少信息损失,提高对较小组织或病变的分割精度。这种多尺度自适应细节特征融合模块的设计能够充分利用不同尺度的特征来恢复高级细节特征,从而提高结构复杂组织的分割精度。在深度学习编程工具的辅助下,我们在真实世界的多媒体数据(CT、MRI、PET 等)上进行了一些模拟实验,以评估所提出的辅助诊断方法。从实验结果可以得出结论,该方案非常适合实验场景的多媒体数据分析。
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引用次数: 0
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Journal of Circuits, Systems and Computers
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