Intelligent prediction method of network performance based on graph neural network by Yijiang LI, Huibiao YE, Renhua XIE, Jiali LOU, Danna ZHUANG, Chuanhuang LI

“…There are some problems in the traditional network performance prediction technology, such as incomplete network state acquisition and poor accuracy of network performance evaluation.Combined with the characteristics of graph neural network learning and reasoning network relational data and the captured global information of the network, on the basis of the current network performance prediction methods, an intelligent prediction method of network performance based on graph neural network was proposed.Aiming at the complex network information, through the research of network system abstraction and network performance modeling, the network information can be transformed into the graph space convolution was used to process the message passing process of graph network nodes to realize the relationship reasoning between network information.The graph neural network model for network performance prediction was studied, and a graph neural network architecture which could deal with traffic matrix, network topology, routing strategy and node configuration was proposed.Finally, the experiments show that the model can better achieve accurate prediction of the network performance including delay, jitter and packet loss rate.…”
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Brazil’s Artificial Intelligence Plan (PBIA) of 2024: Enabler of AI sovereignty? by Germano P. Johansson Neto, Viviane C. Farias da Costa, Walter Britto Gaspar

Subjects: “…artificial intelligence (AI), algorithms, data, computing capacity, education, electricity, cybersecurity, AI sovereignty, key AI sovereignty enablers (KASE), Brazil, Brazilian Artificial Intelligence Plan, Plano Brasileiro de Inteligência Artificial (PBIA)…”
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Causality adversarial attack generation algorithm for intelligent unmanned communication system by Shuwen YU, Wei XU, Jiacheng YAO

Subjects: “…intelligent communication system…”
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Penerapan Intelligent Geographic Information System untuk Deteksi Kecanduan Game by Anastasya Latubessy, Ahmad Jazuli, Rina Fiati

“…Sehingga menghasilkan aplikasi yang diberi nama IGIS-Decandu(Intelligent Geographic Information System Deteksi Kecanduan Game) yang dapat digunakan untuk mengetahui tingkat persebaran kecanduan game anak Indonesia. …”
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Artificial intelligence empowered voice generation for amyotrophic lateral sclerosis patients by Stefano Regondi, Giordana Donvito, Emanuele Frontoni, Milutin Kostovic, Fabio Minazzi, Sébastien Bratières, Massimiliano Filosto, Raffaele Pugliese

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Research on 5G core network service model intelligent prediction by Nan FENG, Helin LIU, Quan ZHOU, Haijun YANG, Mineng FU, Daping ZHONG

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Artificial intelligence for image recognition in diagnosing oral and oropharyngeal cancer and leukoplakia by Benedikt Schmidl, Tobias Hütten, Steffi Pigorsch, Fabian Stögbauer, Cosima C. Hoch, Timon Hussain, Barbara Wollenberg, Markus Wirth

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A study on Emotional Intelligence & Empathy in Allied Vision Sciences Students by Muhammad Shaheer, Asima Rafique, Zahid Kamal Siddiqui, Ummarah Rasheed

Subjects: “…Emotional intelligence, Empathy, Ophthalmology.…”
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Chatbot Programmes’ ‘Arms Race’: Africa and Artificial Intelligence (AI) Ethics by Tapiwa Chagonda

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Intelligent detection method on network malicious traffic based on sample enhancement by Tieming CHEN, Chengqiang JIN, Mingqi LYU, Tiantian ZHU

“…To address the problem that the existing methods of network traffic anomaly detection not only need a large number of training sets,but also have poor generalization ability,an intelligent detection method on network malicious traffic based on sample enhancement was proposed.The key words were extracted from the training set and the sample of the training set was enhanced based on the strategy of key word avoidance,and the ability for the method to extract the text features from the training set was improved.The experimental results show that,the accuracy of network traffic anomaly detection model and cross dataset can be significantly improved by small training set.Compared with other methods,the proposed method can reduce the computational complexity and achieve better detection ability.…”
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RETRACTED: Intelligent methods for impartial and objective evaluation of a course project by Uzunova-Dimitrova Boryana

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Intelligent Traffic Management System Based on the Internet of Vehicles (IoV) by Samir A. Elsagheer Mohamed, Khaled A. AlShalfan

“…In this paper, we present the architecture of our proposed Intelligent Traffic Management System (ITMS) and Smart Traffic Signal (STS) controller. …”
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An intelligent migration mechanism for MEC application instances based on differentiated services by Haipeng LIU

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Intelligent Segment Routing: Toward Load Balancing with Limited Control Overheads by Shu Yang, Ruiyu Chen, Laizhong Cui, Xiaolei Chang

“…To achieve the best of two targets, we propose the intelligent routing scheme for traffic engineering (IRTE), which can achieve load balancing with limited control overheads. …”
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Intelligent physiological signal infosecurity: Case study in photoplethysmography (PPG) signal by Chia‐Hung Lin, Jian‐Xing Wu, Neng‐Sheng Pai, Pi‐Yun Chen, Chien‐Ming Li, Ching Chou Pai

“…Hence, this study proposes an intelligent method for PPG signal encryption and decryption. …”
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Security & safety issues and endogenous security for intelligent connected vehicles by JIA Hongying, LI Yufeng

Subjects: “…intelligent connected vehicle…”
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Research and prospect of intelligent internet of vehicles based on 5G technology by Rongyue YANG, Pengzhou ZHANG, Qing SONG

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Automated Detection and Visualization of Local Kidney Images with Artificial Intelligence Models by Hawraa Saleh, Hadeel Kassim Aljobouri‬, Hani M. Amasha

“… Kidney disease is a global health concern, often leading to kidney failure and impaired function. Artificial intelligence and deep learning have been extensively researched, with numerous proposed models and methods to improve kidney disease diagnosis. …”
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INVESTIGATING THE SCIENTIFIC FOCUS ON ARTIFICIAL INTELLIGENCE'S POTENTIAL IMPACT ON LABOR MARKET by Ludovic DIOSZEGI

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Designing Landscape of Urban Gardening Based on Optimized Artificial Intelligence Model by Long Liu

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