Exploration and practice of AI-empowered smart campus by SU Xiaoming, ZHANG Siyu, JIANG Kaida

“…An open-source, co-constructed development model for the campus AI Hub was proposed, offering a scalable approach that supports smart campus transformation and contributes to digitalizing higher education.…”
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Timing data visualization: tactical intent recognition and portable framework by SONG Yafei, LI Lemin, QUAN Wen, NI Peng, WANG Ke

“…Experimental results demonstrate that the proposed framework achieves over 0.99% higher accuracy compared to machine learning and deep learning methods, exhibiting superior performance, scalability, robustness, and transferability.…”
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Analyzing the components and applications of wireless sensor network: a concise study by Lu Fan

“…However, understanding of sensor networks needs to satisfy the constraints presented by factors such as fault tolerance, scalability, cost, hardware, dynamic topology, environment, and power consumption.…”
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Test Purpose Oriented I/O Conformance Test Selection with Colored Petri Nets by Jing Liu, Xinming Ye, Jiantao Zhou

“…As the synchronized model simulation with two CPN models is irrespective of their model scale, the effectiveness and practicability of our test selection method are enhanced with scalability.…”
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Services de transfert des savoirs by Albert Simard

“…Model design criteria include independence from content, an organizational focus, scalability, two drivers, and two levels of resolution. …”
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Hunting the Pertinency of Bloom Filter in Computer Networking and Beyond: A Survey by Ripon Patgiri, Sabuzima Nayak, Samir Kumar Borgohain

“…Bloom filter poses (i) high adaptability, (ii) low memory space overhead as compared to hashing algorithms, (iii) high scalability, and (iv) high performance. In this article, we uncover the application area of Bloom filter in computer networking and its related domain.…”
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Application,Challenges,and Prospect of Machine Learning in Dam Seepage Prediction by WANG Wei, LIAO Jielin, ZHU Shaokun

“…The adverse effects of seepage will increase the dam failure risk, and applying machine learning to accurate seepage prediction is crucial to dam safety and stability.This paper reviews the application, challenges, and solutions of machine learning in dam seepage prediction.Machine learning can not only predict the seepage behavior of dams but also identify some key parameters such as dam permeability coefficient and groundwater level in seepage prediction.Artificial neural networks, support vector machines, and decision trees have been widely employed in seepage prediction of dams.Integrated algorithms greatly improve prediction accuracy by integrating the advantages of multiple algorithms.Machine learning models still have many shortcomings in data quantity and quality, model interpretability, complexity, scalability, deployment, and implementation.Future research directions include developing advanced machine learning algorithms, creating physics data dual-drive models and interpretable models, and enhancing experimental testing and validation.The relevant achievements can provide references for studying dam seepage prediction based on machine learning models.…”
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An RSA-Like Scheme for Multiuser Broadcast Authentication in Wireless Sensor Networks by Chen-Yang Cheng, Iuon-Chang Lin, Shu-Yan Huang

“…Furthermore, our scheme provides enough scalability and security. The quantitative analyses show that our scheme is efficient in terms of storage and computational overheads.…”
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Multidomain Hierarchical Resource Allocation for Grid Applications by Mohamed Abouelela, Mohamed El-Darieby

“…Simulation results show the scalability and feasibility of the proposed approach.…”
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Data Dissemination in Mobile Wireless Sensor Network Using Trajectory-Based Network Coding by Lingzhi Li, Shukui Zhang, Zhe Yang, Yanqin Zhu

“…It improves the reliability and scalability of MWSN.…”
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Technical Features and Development Trends of Liquid Air Energy Storage by Wang Yuting

“…While LAES systems provide high energy density, long operational lifetimes, and minimal environmental impact, they face challenges that include low round-trip efficiency, scalability issues, and high capital costs. Current research focuses on improving efficiency through thermal storage integration, reducing material costs, and developing hybrid systems to enhance LAES performance. …”
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Parallel Calculation of Random Vibration for Reentry Vehicles in Fluctuating Pressure Environment by Xuanhua Fan, Jun Liang, Keying Wang, Huan Zhou

“…Finally, this article also uses typical examples to verify the correctness and parallel scalability of algorithms and programs.…”
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Research and Implementation of Fast-LPRNet Algorithm for License Plate Recognition by Zhichao Wang, Yu Jiang, Jiaxin Liu, Siyu Gong, Jian Yao, Feng Jiang

“…The algorithm—which has strong generalization ability, scalability, and robustness—performs license plate recognition on the FPGA hardware. …”
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Wearable Sensors for Plants: Status and Prospects by Xuexin Yan, Yawen Pang, Kaiwen Niu, Bowen Hu, Zhengbo Zhu, Zuojun Tan, Hongwei Lei

“…Wearable sensors show great potential for monitoring the physiological and surrounding environmental information for plants due to their high flexibility, biocompatibility, and scalability. However, wearable sensors for plants face several challenges that hinder their large-scale practical application. …”
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Research on cross-domain trustable blockchain based decentralized DNS architecture by Kai LEI, Fangxing SHU, Lei HUANG, Qichao ZHANG

“…The domain name system (DNS) is an important internet infrastructure.However,current DNS utilizes centralized hierarchical structure with severe dependence on root server,which causes defects such as the risk of single-point failure and the abuse of central rights.Designing new decentralized DNS mainly focuses on transforming the domain name system from a single trust domain which relies on the center to multiple trust domains with the top-level domain name as the root parallel to each other,but also faces cross-domain credible challenges.To design a cross-domain trusted architecture,the concept of separating control and analysis was adopted,and a dual-blockchain DNS architecture was proposed.At data layer,a novel cross-domain verification was designed based on a one-way accumulator verification scheme,with the time complexity of the verification process O(N) reducing to O(1) nearly.The CDBFT algorithm was proposed by combining the DPoS mechanism and the BFT algorithm,whose average throughput reaches 736 TPS.The theoretical derivation and experimental results have demonstrated the advantages of this new DNS architecture on security,performance,and scalability.…”
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Advances in modeling cellular state dynamics: integrating omics data and predictive techniques by Sungwon Jung

“…This review emphasizes the importance of selecting appropriate modeling strategies based on scalability and resolution requirements, which vary according to the complexity and size of biological systems under study. …”
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Narration filmique des mondes agricoles : de la bipartition des mondes agricoles à leur mise en réflexion visuelle by Béatrice Maurines 

“…On the one hand, some documentaries condemn a world of agro-industry linked to international firms and ultraliberal and « scalable » capitalism and in particular for their implications in problems of food security, public health and misuse of the soil resource. …”
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Secure data deduplication for Internet-of-things sensor networks based on threshold dynamic adjustment by Yuan Gao, Hequn Xian, Aimin Yu

“…Experiment results and analysis show that the proposed scheme based on threshold dynamic adjustment has decent scalability and practicability.…”
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Resource cell-wireless coverage structure for next-generation ultra-dense networks by Xiayu ZHANG, Jiandong LI, Junyu LIU, Min SHENG, Yan SHI, Ziwen XIE

“…With the increasing demand of mobile users for high-speed data transmission services, the problem of insufficient capacity coverage of mobile communication systems in local areas is becoming increasingly prominent.Aiming to eliminate the capacity coverage hole and overcome the complex interference of the network, the resource cell coverage structure was proposed.The coverage structure has the characteristics of elastic scalability and is capable of providing on-demand energy-efficient coverage.Based on the interference management, a basic spatial unit for capacity coverage and energy coverage was formed, and the mutual adaptation of service distribution, energy distribution and coverage structure were realized.Relying on the above coverage structure, a resource cell generation (RCG) method was proposed to enhance capacity coverage.Through dynamically adjusting the coverage structure and providing on-demand network resources, the RCG method could achieve efficient capacity coverage for the uneven service distribution under uniform access point deployment.Simulation and experimental results show that, compared with the traditional static coverage method, the RCG method eliminates the capacity coverage hole, improves the network throughput, and enhances the capacity coverage capability of the network.…”
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User Access Control and Authentication System for VoIP Service in Mobile Communication Environments by Ho-Kyung Yang, Jeong-Kyung Moon, Cheol-Rim Choi, Hwang-Bin Ryou

“…As a result, it is less expensive than the ordinary telephone network and has excellent scalability. With the increasing demand for VoIP services, problems are also occurring, namely, security vulnerabilities and degraded service quality. …”
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