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检索条件"任意字段=Proceedings of the 2023 12th International Conference on Computing and Pattern Recognition"

共 696 条记录，以下是411-420 订阅

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Utilizing an Ensemble Classification Method to Assess the Severity of SQL Injection Attacks and XSS 12

Utilizing an Ensemble Classification Method to Assess the Se...

引用

12th international conference on System Modeling and Advancement in Research Trends, SMART 2023

作者： Chauhan, Vineet Kumar Kumar, Awadhesh Kumar, Suresh Singh, Trilok Dwivedi, Rakesh Kumar Galgotias College of Engg. & Tech Dept. of Information Technology Greater Noida India Kamla Nehru Institute of Technology Dept. of Computer Science & Engg. Sultanpur India School of Computing Graphic Era Hill University Haldwani India Ccsit Teerthanker Mahaveer University Moradabad India

ISBN: (纸本)9798350369861

In this paper, we present two interconnected security methodologies for enhancing database and web application protection. the first method focuses on safeguarding sensitive data, including identity information, passwords, and financial records in databases. It utilizes an ensemble classification algorithm trained on 22 features from queries containing malicious code to perform realtime analysis of SQL queries, enabling the detection and classification of SQL injection attacks with an accuracy exceeding 98%. these attacks are further categorized as simple, unified, or lateral, with tailored responses such as query blocking and source IP address banning. the second approach addresses the prevalent challenge of Cross-Site Scripting (XSS) attacks, notorious for their impact on web security. Diverging from traditional XSS detection methods, our innovative approach employs ensemble learning through Bayesian networks enriched with domain knowledge and threat intelligence. the results are presented in a user-friendly format through a node sorting technique, offering valuable insights into the nature of the attack. Experimental validation with real-world data demonstrates the method's effectiveness, particularly as attack volumes increase. Furthermore, the sorted node results empower security teams with actionable information to proactively manage the evolving XSS threat landscape. Together, these strategies reinforce cybersecurity defenses, providing robust protection against a diverse and ever-evolving range of cyber threats. © 2023 IEEE.

关键词： Bayesian networks

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Real-time parallel and cooperative recognition of facial images for an interactive visual human interface

Real-time parallel and cooperative recognition of facial ima...

引用

international conference on pattern recognition

作者： O. Hasegawa E. Yokosawa M. Ishizuka Electro technical Laboratory Tsukuba Japan NTT Basic Research Laboratories Japan Faculty of Engineering University of Tokyo Japan

this paper describes briefly an algorithm both for real-time facial image recognition in unconstrained indoor environments and a human like agent image synthesis which responds to the recognition results. Our simple but effective image recognition algorithm can recognize facial images from moving images, choose one primal face and track the primal face in real-time. therefore, the agent can gaze/glance/etc., at the primal face (the interacting user) during the process. It means a "facial contact" or an "eye contact" can be achieved between the user and the synthesized moving agent, which is very important for friendly human interfaces.

关键词： Face recognition Image recognition Humans History Image generation Feature extraction Concurrent computing Data mining Parallel robots Computerized monitoring

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Medical Assistant Visual Teaching System Based on VTK 12

Medical Assistant Visual Teaching System Based on VTK

引用

12th international conference of Information and Communication Technology, ICTech 2023

作者： Su, Mo Hu, Mingrui Wang, Ning Qiao, Jianzhong Gao, Yanjun Qi, Guanglu Shenyang Institute of Computing Technology Co. Ltd Cas Shenyang110168 China University of Chinese Academy of Sciences Beijing100049 China Northeastern University Shenyang110819 China The Fourth Affiliated Hospital of China Medical University Shenyang110003 China Shenyang Fire Science and Technology Research Institute Mem Shenyang110034 China

ISBN: (纸本)9798350332919

In the field of modern medical teaching, the use of Computed Tomography (CT), Magnetic Resonance Imaging (MRI) and other equipment to obtain is a two-dimensional image sequence [1], which is not intuitive enough and makes the images difficult to understand. In order to solve the deficiencies in the video teaching method of slides and textbooks, to improve the quality of teaching and the practical ability of students, this paper implements a 3D visualization system based on VTK (visualization toolkit) for medical assistant teaching. this system uses the VTK toolkit. the three-dimensional reconstruction algorithm reconstructs the two-dimensional tomographic sequence of the organ into a three-dimensional organ, visualizes the reconstructed three-dimensional model in the Unity3D engine. the teaching module synchronizes the scene resources to other clients for teaching. Realize the playback of teaching content based on frame synchronization. the collaborative simulation surgery module uses VR (Virtual Reality) equipment to conduct collaborative simulation training, record the training situation in real time and summarize it after the end, so as to facilitate the identification of deficiencies in the task. © 2023 IEEE.

关键词： Medical imaging

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Intelligent & Smart Navigation System for Visually Impaired Friends 12th

Intelligent & Smart Navigation System for Visually Impaired ...

引用

12th international Advanced computing conference, IACC 2022

作者： Suresh, Merugu Shaik, Abdul Subhani Premalatha, B. Narayana, V.A. Ghinea, George Department of ECE NIT Silchar Assam Silchar India Department of ECE CMR College of Engineering and Technology Telangana Hyderabad India Department of CSE CMR College of Engineering and Technology Telangana Hyderabad India Mulsemedia Computing Brunal University London Wilfred Brown Building 215 London United Kingdom

ISBN: (纸本)9783031356407

the objective of this paper is to provide the low-cost assistive device with localization and mapping of the visually-impaired people. this can be used as plug and play device low power consumption and economical solution to visually-impaired. Further, the smart assistive device will be an integration of computer vision techniques and sensors network which can be validate the sturdiness and consistency of the obstacle recognition and detection modules. Need to test the obstacle detection data and the module is reliant on the collected data from both the smartphone camera and ultrasonic sensors, which will be nourished to the recognition unit to categorize the existing things of the scene. "Humans are not disabled. A person can never be broken. this inbuilt environment, technologies, is broken and disabled and the people need not accept the limitations, but can transfer disability through technological Innovation". © 2023, Springer Nature Switzerland AG.

关键词： Machine learning

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Computational Intelligence in Data Science 1

引用

丛书名： IFIP Advances in Information and Communication Technology

1000年

作者： Sarath Chandran K R Sujaudeen N Beulah A Shahul Hamead H

ISBN: (数字)9783031382963

ISBN: (纸本)9783031382956;9783031384103

this book constitutes the proceedings of the 6th IFIP TC 12 international conference on Computational Intelligence in Data Science, ICCIDS 2023, which took place in Kalavakkam, India, in February 2023.;the 24 full papers presented in this volume were carefully reviewed and selected from 134 submissions. the major theme of the conference was intended to be computation intelligence and knowledge management. Various emerging areas like IoT, cyber security and data science need computation intelligence to align with the cutting-edge research. Machine learning delivers insights hidden in data for rapid, automated responses and improved decision making. Machine learning for IoT can be used to project future trends, detect anomalies, and augment intelligence by ingesting image, video, and audio.

关键词： Data Mining and Knowledge Discovery Computer Applications Artificial Intelligence Computer Imaging, Vision, pattern recognition and Graphics computing Milieux

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Computational Data and Social Networks 1

引用

丛书名： Lecture Notes in Computer Science

1000年

作者： Minh Hoàng Hà Xingquan Zhu My T. thai

ISBN: (数字)9789819706693

ISBN: (纸本)9789819706686

this book constitutes the refereed conference proceedings of the 12th international conference on Computational Data and Social Networks, CSoNet 2023, held in Hanoi, Vietnam, in December 2023.;the 23 full papers and 14 short papers presented in this book were carefully reviewed and selected from 64 submissions. the papers are divided into the following topical sections: machine learning and prediction; optimization; security and blockchain; and network analysis.

关键词： Computer Applications Computer Communication Networks Data Structures and Information theory Artificial Intelligence computing Milieux

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Document segmentation using texture analysis

Document segmentation using texture analysis

引用

international conference on pattern recognition

作者： J.S. Payne T.J. Stonham D. Patel Department of Computing Buckinghamshire College Brunel University High Wycombe Buckinghamshire UK Department of Electrical Engineering Brunel University High Wycombe Uxbridge UK

this paper describes the application of a novel texture recognition strategy, which involves the assembly of n/sup th/ order co-occurrence information within a processing window. the resulting spectrum is processed by a nearest neighbour classifier, and discontinuities in the classification as the operating window scans the image are recognized as texture boundaries. the technique is being applied for the first time to segmenting newsprint, in order to locate the text regions for effective data capture. Previous methods applied to the task discussed in the paper, have used run-length encoding and block analysis, Gabor filters, or component analysis. the co-occurrence method offers significant advantages in processing time and ease of implementation.

关键词： Gabor filters Image segmentation Optical character recognition software Image analysis Image texture analysis Pixel Material storage Image coding Fourier transforms Educational institutions

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Green, Pervasive, and Cloud computing 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Hai Jin Chen Yu Zhiwen Yu Xiaokang Zhou Zeguang Lu Xianhua Song

ISBN: (数字)9789819998968

ISBN: (纸本)9789819998951

this book constitutes the refereed proceedings of the 18th international conference on Green, Pervasive, and Cloud computing, GPC 2023, held in Harbin, China, during September 23–24, 2023.;the 38 full papers and 1 short paper included in this book were carefully reviewed and selected from 111 submissions. they were organized in topical sections as follows: Industrial Digitization and Applications, Edge Intelligence, Mobile Sensing and computing, Cyber-Physical-Social Systems, Pervasive and Green computing and Wireless and Ubiquitous Networking.

关键词： Computer Communication Networks Computer Systems Organization and Communication Networks computing Milieux Computer Imaging, Vision, pattern recognition and Graphics Mathematics of computing Machine Learning

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Modeling of some spatio-temporal aspects of visual information processing in the retinal neural network

Modeling of some spatio-temporal aspects of visual informati...

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international conference on pattern recognition

作者： A. Faure N. Shevtsova A. Golovan A. Klepach O. Cachard I. Rybak Laboratory Logos University of Le Havre France AB Kogan Research Institute for Neurocybernetics Rostov State University Rostov on Donu Russia University of Pennsylvania Philadelphia PA USA

the problems of active vision and of visual perception and recognition in the dynamic environment demand a very careful consideration of dynamic aspects of early visual processing. In the first turn it concerns the finding out the relationships between the dynamic properties of sensory processing elements (retinal neurons), velocities of movements of elements of the visible world, and general structure of the retinal receptive fields. In this work we have tried to consider the above issues using a very simple model of the retinal neural network.

关键词： Information processing Retina Neural networks Image resolution Neurons Visual perception Intelligent networks Eyes Biology computing Computer vision

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Green, Pervasive, and Cloud computing 1

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丛书名： Lecture Notes in Computer Science

1000年

作者： Hai Jin Chen Yu Zhiwen Yu Xiaokang Zhou Zeguang Lu Xianhua Song

ISBN: (数字)9789819998937

ISBN: (纸本)9789819998920

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