Evaluation of Computationally Efficient Identity-Based Proxy Signatures by Saddam Hussain, Ali Tufail, Haji Awg Abdul Ghani Naim, Muhammad Asghar Khan, Gordana Barb

“…IEEE Open Journal of the Computer Society…”
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Credit Where Credit Is Due: Data and Software in the Space Weather Community by S. K. Morley, H. Liu, B. A. Carter, J. L. Gannon, N. Lugaz

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DataLab as a Service: Distributed Computing Framework for Multi-Interactive Analysis Environments by Aida Palacio Hoz, Andres Heredia Canales, Ezequiel Cimadevilla Alvarez, Marta Obregon Ruiz, Alvaro Lopez Garcia

“…The platform enables users to easily and automatically deploy interactive environments tailored for data analysis, thereby streamlining the process of managing computational resources. Through DLaaS, users gain access to cloud-based infrastructures and distributed computing resources, which are essential for performing compute-intensive tasks on massive datasets. …”
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A Comprehensive Survey on Resource Management for IoT Applications in Edge-Fog-Cloud Environments by Nour El Houda Boubaker, Karim Zarour, Nawal Guermouche, Djamel Benmerzoug

“…Ultimately, this survey outlines the current limitations of the field, uncovers open challenges, and suggests future research directions to enable more intelligent, efficient, and adaptive resource management solutions.…”
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An open-source, QGIS-based solution for digital geological mapping: GEOL-QMAPS by Julien Perret, Mark W. Jessell, Eliott Bétend

“…However, many of these tools are not open-source or are not made available to the geoscientific community, remaining specific to given mapping projects or organisations.In this contribution we introduce GEOL-QMAPS, an open-source, QGIS-based solution promoting digital geological mapping in a harmonised, comprehensive and flexible way. …”
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NeuralMag: an open-source nodal finite-difference code for inverse micromagnetics by C. Abert, F. Bruckner, A. Voronov, M. Lang, S. A. Pathak, S. Holt, R. Kraft, R. Allayarov, P. Flauger, S. Koraltan, T. Schrefl, A. Chumak, H. Fangohr, D. Suess

“…Abstract We present NeuralMag, a flexible and high-performance open-source Python library for micromagnetic simulations. …”
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Large-Scale CFD Parallel Computing Dealing with Massive Mesh by Zhi Shang

“…Due to dealing with the massive mesh cells, it is difficult for the CFD codes without parallel optimizations to handle this kind of large-scale computing. Some of the open source mesh partitioning software packages, such as Metis, ParMetis, Scotch, PT-Scotch, and Zoltan, are able to deal with the distribution of large number of mesh cells. …”
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Application of blockchain in urban rail traffic edge computing network by Gaochang XIE, Hua LU, Qinqin TANG, Han ZHU, Chenghao LIANG, Wen WEN, Renchao XIE

“…Multi-access edge computing (MEC) can provide high-quality service capabilities for computing-intensive services and delay-sensitive services in urban rail traffic.However, many edge facilities in rail traffic edge computing network are exposed to an open environment, and their privacy protection and transmission security are facing great challenges.Blockchain has functional characteristics such as distributed ledger, consensus mechanism, smart contract, and decentralized application.Therefore, the use of blockchain can build a systematic security protection mechanism for the distributed rail traffic edge computing network to ensure network security and data security and realize high-quality urban rail traffic services.Firstly, the basic concept of the blockchain and the urban rail traffic edge computing network architecture were introduced.Then, the structure and application content of the rail traffic edge computing network security protection mechanism integrated with the blockchain was discussed in detail.Finally, the open research issues and challenges of the security protection mechanism were analyzed.…”
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Design and Application of On-board Computing and Display Control Unit for Mine by CHEN Xiaoxuan, HU Yunqing, ZHANG Guangqiang, LI Xionghui, JIANG Xuezhai, WU Jichang, ZHANG Qiang

“…This method adopts the scheme of covering all cooperative auxiliary operation vehicles with the same set of software and hardware, which can reduce the cost of development and maintenance, and has a good engineering application prospect. The on-board computing display control unit designed according to this method has been applied in an open-pit coal mine, and has realized the loading of various types of vehicles. …”
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The OpenESEA Modeling Language and Tool for Ethical, Social, and Environmental Accounting by Vijanti Ramautar, Sergio España

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Cognitive Computing with Large Language Models for Student Assessment Feedback by Noorhan Abbas, Eric Atwell

“…This research explores the application of cognitive computing, specifically open-source Large Language Models (LLMs) Mistral-7B and CodeLlama-7B, to streamline feedback generation for student reports containing both Python programming elements and English narrative content. …”
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From data to nutrition: the impact of computing infrastructure and artificial intelligence by Pierpaolo Di Bitonto, Michele Magarelli, Pierfrancesco Novielli, Donato Romano, Domenico Diacono, Lorenzo de Trizio, Angelo Mariano, Claudia Zoani, Riccardo Ferrero, Alessandra Manzin, Maria De Angelis, Roberto Bellotti, Sabina Tangaro

“…The article also underlines the importance of high-performance computing infrastructures and data management strategies, including data operations (DataOps) for efficient data pipelines and findable, accessible, interoperable, and reusable (FAIR) principles for open and standardized data sharing. …”
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Survey on rail transit mobile edge computing network security by Renchao XIE, Wen WEN, Qinqin TANG, Yunlong LIU, Gaochang XIE, Tao HUANG

“…The introduction of mobile edge computing (MEC) technology in rail transit which has the characteristics of complex environment, high densities of passengers, and high-speed mobility can meet the low latency, mobility, and massive connection requirements of rail transit.However, MEC not only improves the performance of rail transit communication network but also brings security challenges.Firstly, an overview of rail transit communication network and MEC was given.Then the value of introducing MEC into rail transit and the architecture of rail transit edge computing network were discussed.After that, the security threats faced by rail transit edge computing network was analyzed and protection scheme was proposed.Finally, some open questions were proposed, which was expected to provide ideas for future research.…”
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High performance big data computing systems for government governance by Weigang WU, Liang CHANG, Jiangtao REN, Tianlong GU

“…,bring new challenges to big processing platform,and new design is desirable.Based on the requirements of applications,the challenges in big data processing for government governance scenarios were analyzed,and key techniques in distributed parallel processing for public governance were discussed,including data storage,computing platform,and key algorithms.The state-of-art techniques were investigated and reviewed,and a candidate framework for government governance data process system was proposed,the pros and cons of different technical methodologies were also discussed.Finally,the open problems and future directions were also discussed.…”
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Intrusion Detection Systems in Cloud Computing Paradigm: Analysis and Overview by Pooja Rana, Isha Batra, Arun Malik, Agbotiname Lucky Imoize, Yongsung Kim, Subhendu Kumar Pani, Nitin Goyal, Arun Kumar, Seungmin Rho

“…Currently, security is a requisite concern owning to the open and distributed nature of the cloud. Copious amounts of data are responsible for alluring hackers. …”
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Quantum computing for solving Bayesian networks of bridges – method and recommendations by Tareq Abdelmalek, Fadi Oudah

“…Research findings indicate the feasibility of quantum computing for solving small-scale bridge Bayesian networks (error of 6% approximately), whereas the accuracy of solutions for solving complex networks using available open-access quantum computers is compromised owing to the limited number of available attempts and the compound effect of quantum error (error up to 37% approximately). …”
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Low-Power Memristor for Neuromorphic Computing: From Materials to Applications by Zhipeng Xia, Xiao Sun, Zhenlong Wang, Jialin Meng, Boyan Jin, Tianyu Wang

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Fermionic wave packet scattering: a quantum computing approach by Yahui Chai, Arianna Crippa, Karl Jansen, Stefan Kühn, Vincent R. Pascuzzi, Francesco Tacchino, Ivano Tavernelli

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Quantum DeepONet: Neural operators accelerated by quantum computing by Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu

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Key metrics for monitoring performance variability in edge computing applications by Panagiotis Giannakopoulos, Bart van Knippenberg, Kishor Chandra Joshi, Nicola Calabretta, George Exarchakos

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