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Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks with Artificial Hummingbird Algorithm for Social Media Content Classification and Community Detection

Stereoscopic Gated Graph Scalable Quantum Capsule Convolutio...

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Machine Learning and Autonomous systems (ICMLAS), International conference on

作者： A. Elumalai S. Rukmani Devi D. Rosy Salomi Victoria A. Jagadeeswaran Aparajita Mukherjee K. Vinoth Department of Mathematics R.M.K. Engineering College Chennai Tamil Nadu India Department of Computer Science Saveetha College of Liberal Arts and Sciences SIMATS Deemed to be University Chennai Tamil Nadu India Department of Information Technology Chennai Institute of Technology Chennai Tamil Nadu India Department of Electronics and Communication Engineering Annapoorana Engineering College Salem Tamil Nadu India Department of Computer Science and Engineering Institute of Engineering and Management(IEM) University of Engineering and Management Kolkata West Bengal Department of Electrical and Electronics Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India

ISBN: (数字)9798331505745

ISBN: (纸本)9798331505752

Social Media Content Classification and Community Detection (SMCCCD) classify content and identify communities through deep learning, and NLP. Traditional models are weak in scalability and interpretability. To solve all these problems, this paper introduces a Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks with Artificial Hummingbird Algorithm (SGGSQCCN2Nets+AHA) for social content classification and community detection. Data inputs are accessed from the Twitter dataset and are initially preprocessed by the Natural Language (NL) method. After preprocessing, content classification and community detection are done using the Stereoscopic Gated Graph Scalable Quantum Capsule Convolutional Neural Networks (SGGSQCCN2Nets) and optimization is then performed with the Artificial Hummingbird Algorithm (AHA). The performance of the new SGGSQCCN2Nets+AHA model is tested on a Twitter dataset with a high accuracy rate of 99.9% and specificity of 99.8%. The proposed model is developed by utilizing Python programming language. The outcome of the proposed SGGSQCCN2Nets+AHA model enhances the performance of content classification and improves user community detection accuracy. It is effective in addressing scalability issues, obtaining complex features, and offering more interpretability. The model is also resilient against noisy data dynamically adapts to evolving social media trends and outperforms traditional deep learning techniques in real-time analysis.

关键词： Adaptation models Accuracy Social networking (online) Stereo image processing Scalability Heuristic algorithms Blogs Logic gates Classification algorithms Convolutional neural networks

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面向深度模型的对抗攻击与对抗防御技术综述

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信号处理 2025年第2期41卷 198-223页

作者：王文萱汪成磊齐慧慧叶梦昊张艳宁西北工业大学计算机学院陕西西安710129 西北工业大学国家卓越工程师学院陕西西安710072 空天地海一体化大数据应用技术国家工程实验室陕西西安710129

深度学习技术已广泛应用于图像分类和目标检测等计算机视觉核心任务,并取得了瞩目的进展。然而,深度学习模型因其高度的复杂性与内在的不确定性,极易成为对抗样本攻击的靶标。攻击者巧妙地利用数据中细微的、精心设计的扰动,诱导模型以... 详细信息

深度学习技术已广泛应用于图像分类和目标检测等计算机视觉核心任务,并取得了瞩目的进展。然而,深度学习模型因其高度的复杂性与内在的不确定性,极易成为对抗样本攻击的靶标。攻击者巧妙地利用数据中细微的、精心设计的扰动,诱导模型以极高的置信度输出错误结果,此类对抗样本对实际应用场景中模型的可靠性及安全性构成了严峻的挑战与潜在威胁。例如,攻击者可利用对抗眼镜误导人脸识别系统,导致身份误判,进而实施非法入侵、身份冒用等威胁公共安全和个人隐私的行为;也可对自动驾驶系统的监控数据添加对抗噪声,虽不破坏交通工具本身特征,却可能导致漏检重要交通工具,引发交通混乱甚至事故,造成严重后果。本文旨在梳理当前对抗攻击与对抗防御技术的研究现状。具体而言,内容涵盖以下三个方面:1)在概述对抗样本基本概念和分类的基础上,剖析了多种对抗攻击的形式和策略,并举例介绍了具有代表性的经典对抗样本生成方法;2)阐述对抗样本的防御方法,从模型优化、数据优化和附加网络三个方向系统梳理了当前提高模型对抗鲁棒性的各类算法,分析了各类防御方法的创新性和有效性;3)介绍对抗攻击和对抗防御的应用实例,阐述了大模型时代对抗攻击和防御的发展现状,分析了在实际应用中遇到的挑战及解决方案。最后本文对当前对抗攻击与防御方法进行了总结分析,并展望了该领域内未来的研究方向。

关键词：对抗攻击对抗防御深度学习计算机视觉可信人工智能

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Evaluation on the Effectiveness of SVM-Based image processing algorithms for the Identification and Classification of Lung Cancer 15th

Evaluation on the Effectiveness of SVM-Based Image Processin...

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15th International conference on Soft Computing and Pattern Recognition, SoCPaR 2023 and 14th World Congress on Nature and Biologically Inspired Computing, NaBIC 2023

作者： Bhaskar, Nuthanakanti Swaroopa Rani, B. Srinivasula Reddy, A. Asha Shiny, X.S. Gayathri, B. Venkateswara Reddy, R. CMR Technical Campus Telangana Hyderabad India CMR Engineering College Telangana Hyderabad India CMR College of Engineering and Technology Telangana Hyderabad India

ISBN: (纸本)9783031810794

Globally, lung cancer is a prevalent reason for death for individuals. The most common form of lung cancer has a high death rate. If lung cancer is identify and care for in its early on stages, screening can assist identify the disease at an earlier stage. Therefore, a patient's chances of survival are increased by early identification of lung cancer. Lung computed tomography (CT) scans might represent a more reliable method of identifying cancer than MRIs and X-rays. DICOM (Digital Imaging and Communications in Medicine) is used to scan the lungs and obtain images. We improve and smooth photos using a variety of preprocessing approaches. Edge detection and thresholding (ROI) are used in this work to section the lung tumor's region of interest. Lastly, we use Support Vector Machine to compute a number of geometrical aspects of the retrieved ROI and categorize the results into both benign and malignant degrees of severity (SVM). Data is classified using supervised machine learning techniques called SVM classifiers. One of their advantages is their ability to handle small amounts of high dimensional data. Every characteristic is used as an input to evaluate the SVM's efficiency. As such, lung cancer in CT scans is diagnosed using a method that uses methods for processing images. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Support vector machines

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基于FPGA的量子点宽光谱图像盲元补偿和锐化算法实现

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光学与光电技术 2025年第1期23卷 26-34页

作者：刘泉刘欢杨鹏西安工业大学光电工程学院陕西西安710021

量子点光电探测器是目前研究的热点,由于使用了特殊的感光材料,其具有更宽的光谱响应范围(350~2000 nm)。然而,在成像芯片制备过程中,因为合成工艺不成熟和像元移植率低等因素影响,得到的图像会存在盲闪元扎堆和细节模糊的图像问题。因... 详细信息

量子点光电探测器是目前研究的热点,由于使用了特殊的感光材料,其具有更宽的光谱响应范围(350~2000 nm)。然而,在成像芯片制备过程中,因为合成工艺不成熟和像元移植率低等因素影响,得到的图像会存在盲闪元扎堆和细节模糊的图像问题。因此,为提高图像的质量,减弱图像中的盲闪元噪声和细节模糊带来的影响,提出用自适应中值滤波算法和反锐化掩膜算法对宽光谱图像进行增强,并借助FPGA(Field Programmable Gate Array,FPGA)流水线处理的优势,在xilinx A7系列硬件上进行部署。结果表明,当输入一帧分辨率为640×512的图像时,处理的图像峰值信噪比能增大17%。在50 MHz的时钟下,处理过程耗时约6.16 ms,实时性强,硬件占用率低,对宽光谱成像系统的优化具有实际意义。

关键词：量子点宽光谱图像现场可编程门阵列自适应中值滤波反锐化掩膜

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Lane departure warning systems and lane line detection methods based on image processing and semantic segmentation:A review

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Journal of Traffic and Transportation Engineering(English Edition) 2020年第6期7卷 748-774页

作者： Weiwei Chen Weixing Wang Kevin Wang Zhaoying Li Huan Li Sheng Liu School of Information Engineering Chang’an UniversityXi'an 710064China Xi’an Aeronautical Polytechnic Institute Xi'an 710089China Royal Institute of Technology Stockholm 10044Sweden Audible Inc. NewarkNJ 07102USA School of Computer Science and Engineering Xi’an University of TechnologyXi'an 710048China

Recently,the development and application of lane line departure warning systems have been in the *** any of the systems,the key part of lane line tracking,lane line identification,or lane line departure warning is whether it can accurately and quickly detect lane *** 1990 s,they have been studied and implemented for the situations defined by the good viewing conditions and the clear lane markings on *** then,the accuracy for particular situations,the robustness for a wide range of scenarios,time efficiency and integration into higher-order tasks define visual lane line detection and tracking as a continuing research *** present,these kinds of lane marking line detection methods based on machine vision and image processing can be divided into two categories:the traditional image processing and semantic segmentation(includes deep learning)*** former mainly involves feature-based and model-based steps,and which can be classified into similarity-and discontinuity-based ones;and the model-based step includes different parametric straight line,curve or pattern *** semantic segmentation includes different machine learning,neural network and deep learning methods,which is the new trend for the research and application of lane line departure warning *** paper describes and analyzes the lane line departure warning systems,image processing algorithms and semantic segmentation methods for lane line detection.

关键词： Traffic engineering Lane departure warning Lane line detection image processing image analysis Semantic segmentation

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A 4Kx2K@60fps Multifunctional Video Display Processor for High Perceptual image Quality

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IEEE TRANSACTIONS ON CIRCUITS AND systems I-REGULAR PAPERS 2020年第2期67卷 451-463页

作者： Wang, Hang Li, xiang Han, Daqiang Yu, Shiquan Yin, Shouyi Wei, Shaojun Zheng, Nanning Zhang, Xuchong Wang, Tiancheng Li, Wenchang Chen, Qiubo Ren, Pengju Wu, xiaogang Sun, Hongbin Jiang, Zhiqiang Xi An Jiao Tong Univ Sch Microelect Inst Artificial Intelligence & Robot Xian 710049 Peoples R China Xi An Jiao Tong Univ Xian 710049 Peoples R China Bytedance Inc Beijing 100084 Peoples R China Hisilicon Inc Wireless Digital Chipset Dev Dept Shanghai 201206 Peoples R China Changhong Elect Co Ltd Mianyang 621000 Sichuan Peoples R China Tsinghua Univ Inst Microelect Beijing 100084 Peoples R China

Video display processing is an indispensable module in a variety of multimedia systems. With the increase of video format to 4K $\times$ 2K& x0040;60fps, the design of efficient display processing circuit faces severe challenges. This paper presents a video display processor which supports a variety of video formats and integrates multiple advanced algorithms for perpetual image quality improvement. By leveraging algorithm and architecture co-design, this paper efficiently implements these computational and memory intensive display processing algorithms in a single chip. In particular, we describe three representative design modules in detail, including motion compensated frame rate up-conversion, content-adaptive contrast enhancement, and backlight local dimming. Extensive experiments demonstrate that the proposed design modules outperform the previous works in terms of either image quality or hardware efficiency. The overall chip is fabricated in GF 55nm CMOS technology, and can work at the maximum operating frequency of 594 MHz. The maximum input and output video formats reach up to 4Kx2K@60fps.

关键词： Video display processing ultra-high definition frame rate up-conversion contrast enhancement backlight local dimming

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20 Years of Biomedical image Acquisition and processing at BioCAS

20 Years of Biomedical Image Acquisition and Processing at B...

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2024 Biomedical Circuits and systems conference

作者： Bermak, Amine Liu, Tianyi Zhao, Ziyao Wang, Bo Zhang, Milin Hamad Bin Khalifa Univ Coll Sci & Engn Doha Qatar Tsinghua Univ Dept Elect Engn Beijing Peoples R China

ISBN: (纸本)9798350354966;9798350354959

The development of biomedical image technology has brought significant advancements to healthcare and frontier research. Over the past 20 years, BioCAS has witnessed and documented comprehensive achievements in biomedical image sensor design and processing algorithms. This paper provides a systematic review of the work related to biomedical image acquisition and processing technology in BioCAS and offers a perspective on future developments in this field.

关键词： review biomedical image image acquisition image processing

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Hue processing in Tetrachromatic Spaces

Hue Processing in Tetrachromatic Spaces

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conference on image processing - algorithms and systems xi

作者： Restrepo (Palacios), Alfredo Univ Los Andes Dept Ing Elect & Elect Lab Senales Bogota Colombia

ISBN: (纸本)9780819494283

We derive colour spaces of the hue-colourfulness-luminance type, on the basis of a four-dimensional hypercube. We derive a chromatic 2D hue that goes together with chromatic saturation and luminance, a toroidal hue that goes together with a toroidal saturation and colourfulness, and also, a 3D tint that goes together with colourfulness.

关键词： Tetrachromacy colour space hypercube double cone Runge

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3D robust anisotropic diffusion filtering algorithm for sparse view neutron computed tomography 3D image reconstruction

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Nuclear Science and Techniques 2024年第3期35卷 13-29页

作者： Yang Liu Teng-Fei Zhu Zhi Luo xiao-Ping Ouyang School of Nuclear Science and Engineering North China Electric Power UniversityBeijing 102206China State Key Laboratory of Nuclear Resources and Environment East China University of TechnologyNanchang 330013China State Key Laboratory of Intense Pulsed Radiation Simulation and Effect Xi’an 710024China

The most critical part of a neutron computed tomography(NCT) system is the image processing algorithm,which directly affects the quality and speed of the reconstructed *** types of noise in the system can degrade the quality of the reconstructed ***,to improve the quality of the reconstructed images of NCT systems,efficient image processing algorithms must be *** anisotropic diffusion filtering(ADF) algorithm can not only effectively suppress the noise in the projection data,but also preserve the image edge structure information by reducing the diffusion at the image ***,we propose the application of the ADF algorithm for NCT image *** compare the performance of different algorithms in NCT systems,we reconstructed images using the ordered subset simultaneous algebraic reconstruction technique(OS-SART) algorithm with different regular terms as image processing *** the iterative reconstruction,we selected two image processing algorithms,the Total Variation and split Bregman solved total variation algorithms,for comparison with the performance of the ADF ***,the filtered back-projection algorithm was used for comparison with an iterative *** reconstructing the projection data of the numerical and clock models,we compared and analyzed the effects of each algorithm applied in the NCT *** on the reconstruction results,OS-SART-ADF outperformed the other algorithms in terms of denoising,preserving the edge structure,and suppressing *** example,when the 3D Shepp–Logan was reconstructed at 25 views,the root mean square error of OS-SART-ADF was the smallest among the four iterative algorithms,at only *** universal quality index,mean structural similarity,and correlation coefficient of the reconstructed image were the largest among all algorithms,with values of 0.9877,0.9878,and 0.9887,respectively.

关键词： NCT OS-SART Sparse-view Anisotropic diffusion filtering

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A Literature Review of the Adaptive algorithms Adopted in Adaptive Learning systems 4

A Literature Review of the Adaptive Algorithms Adopted in Ad...

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4th IEEE International conference on Signal and image processing (ICSIP)

作者： Ge, Zigang xi, Miaoyin Li, Yanfei Beijing Univ Posts & Telecommun Sch Network Educ Beijing Peoples R China

ISBN: (纸本)9781728136608

The present study screened out 16 papers from SSCI-indexed and SCI-indexed journals for a literature review on the topic of adaptive algorithms applied in various adaptive learning systems. It is found that most of the reviewed articles directly adopted some long-standing algorithms, although a few of them employed game engines or developed their own algorithms for the construction of the adaptive learning systems. The literature review also shows that the majority of the studies have testified the effectiveness of the adopted algorithms, although many of them cannot achieve the ideal dynamic adaptivity.

关键词： adaptive algorithm adaptive learning system literature review adaptivity

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