A Study on Vague Graph Structures with an Application by Zheng Kou, Maryam Akhoundi, Xiang Chen, Saber Omidi

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Research and application of V2X based on MEC by Jiahui QIU, Zhichao ZHOU, Xiaobo LIN, Yu XIAO, Chao CAI, Liu LIU

“…The large-scale construction of 5G wireless communication network enhances the development of C-V2X (cellular-vehicle to everything) towards diversified directions.Large bandwidth services,such as high-definition video and AR/VR,bring great transmission and processing pressure to the classical network architecture.Meanwhile,traffic safety services characterized by ultra-high reliability and low delay put stringent requirements on network performance.The network architecture of providing services and computing localization through setting user panel down to close to the terminals and MEC (multiple access edge computing) can meet the requirements of data short loop transmission and ultra-low delay in the internet of vehicles scenario.The combination of MEC and V2X was explored in depth,the MEC networking scenario,MEC network architecture and the key technologies and challenges of MEC were analyzed.The combination scheme of MEC and C-V2X integration of network planning was provided.The application of MEC in C-V2X was presented in several specific scenarios.…”
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ARTIFICIAL INTELLIGENCE AS AN OBJECT OF MANAGEMENT: A BENEFIT FOR CIVILISATION OR A THREAT TO MANKIND? by Iia Chudayeva, Boris Dmitruk

“…Today, artificial intelligence is a global trend in technology development and innovation. Advances in computing power, the ability to collect and process huge amounts of information, and instant access to the latest algorithms are important prerequisites for the evolution of intelligent technologies. …”
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Research on the Lightweight of Natural Language Understanding Model in Electric Power Field by DONG Zengbo, XU Shiyu, CHEN Xi, XU Bo, XIN Rui, ZHANG Pengfei, SONG Hui

“…To address the application requirements of indicator question-and-answer (Q&A) in the electricity industry, this paper researches a natural language understanding model for balancing performance, computing resource consumption, and inference time, and proposes a method to incorporate an early stopping mechanism in the lightweight process of knowledge distillation. …”
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Design and Performance Evaluation of an Authentic End-to-End Communication Model on Large-Scale Hybrid IPv4-IPv6 Virtual Networks to Detect MITM Attacks by Zeeshan Ashraf, Adnan Sohail, Muddesar Iqbal

“…IPv4 and IPv6 protocols will co-exist long during the changeover process. Some attacks, such as MITM attacks, do not discriminate by appearance and affect IPv4 and IPv6 address architectures. …”
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Non-Maximum Suppression for Rotated Object Detection During Merging Slices of High-Resolution Images by Lei Ge, Lei Dou

“…Hence, it is more suitable for computing-constrained mobile platforms such as drones to detect objects on high-resolution images.…”
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Systematic review to understand users perspectives on AI-enabled decision aids to inform shared decision making by Nehal Hassan, Robert Slight, Kweku Bimpong, David W. Bates, Daniel Weiand, Akke Vellinga, Graham Morgan, Sarah P. Slight

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Performance Analysis for the Magnetically Coupled Resonant Wireless Energy Transmission System by Jinguo Liu, Xuebin Zhang, Jiahui Yu, Zhenyao Xu, Zhaojie Ju

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From Junk to Genius: Robotic Arms and AI Crafting Creative Designs from Scraps by Jiaqi Liu, Xiang Chen, Shengliang Yu

“…Robotic sorting demonstrated the ability to process up to six foam blocks per minute under controlled conditions. …”
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NEURAL NETWORKS OF THE FINAL RING BASED ON THE REDUCTION SCHEME OF THE POSITION-MODULAR-CODE TRANSFORMATION by N. I. Chervyakov, A. A. Kolyada, N. A. Kolyada, V. A. Kuchukov, S. U. Protasenia

“…The article studies the problem of creating a neural network of modular computing structures for highperformance expressions in the field of information security. …”
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Research on optimization strategies of university ideological and political parenting models under the empowerment of digital intelligence by Fan Lv

“…Abstract The development of big data, artificial intelligence, cloud computing, and other new generations of intellectual technologies has triggered digital changes in university civic education’s resources, forms, and modes. …”
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Evaluation of Several Machine Learning Models for Field Canal Improvement Project Cost Prediction by Saadi Shartooh Sharqi, Aayush Bhattarai

“…Due to the massive advancement of soft computing (SC) and Internet of things (IoT), the main research objective of the current study was initiative. …”
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A New Cipher Based on Feistel Structure and Chaotic Maps by Al-Bahrani et al.

“…The proposed cipher operates on more than 500 bytes (4000-bit) readable text blocks by six round computing. Within the basic operator of the cipher, i.e., in the function of the round F, a dynamical lookup table 2D standard map system is used to enhance the complexity and diffusion of the unreadable text. …”
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Enhancing memory retrieval in generative agents through LLM-trained cross attention networks by Chuanyang Hong, Qingyun He

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Towards the Concurrent Optimization of the Server: A Case Study on Sport Health Simulation by Nan Jia, Ruomei Wang, Mingliang Li, Yuhan Guan, Fan Zhou

“…As a result, the simulation process is usually time-consuming and simulation efficiency is low. …”
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An Online-Traffic-Prediction Based Route Finding Mechanism for Smart City by Xiaoguang Niu, Ying Zhu, Qingqing Cao, Xining Zhang, Wei Xie, Kun Zheng

“…O-Sense firstly exploits a deep learning approach to process spatial and temporal taxi GPS traces shown in dynamic patterns. …”
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Visual codon: a user-friendly Python program for viewing and optimizing gene GC content by Shiming Lin, Fei Xu, Bifang Huang, Li-li Zhao, Danni Pan, Shiqiang Lin

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G-Pre: A Graph-Theory-Based Matrix Preconditioning Algorithm for Finite Element Simulation Solutions by Min Chen, Jingyan Li, Lijie Li, Kang Liang, Gai Wu, Wei Shen

“…In finite element simulation and analysis, increasing simulation scales place high demands on the preconditioning and solution process of linear matrices. However, the most commonly used preconditioning methods for incomplete LU factorization usually increase data access and computation due to data padding and forward/backward operations, as well as affect parallel computing design. …”
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Autonomous scheduling mechanism based on energy awareness for improving resource allocation in serverless IoT edge by Mohsen Ghorbian, Mostafa Ghobaei-Arani, Leila Esmaeili

“…This choice is complex since allocating the necessary resources to process requests depends on the energy available in the active nodes. …”
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Deep Reinforcement Learning-Based Resource Allocation for QoE Enhancement in Wireless VR Communications by Georgios Kougioumtzidis, Vladimir K. Poulkov, Pavlos I. Lazaridis, Zaharias D. Zaharis

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