Confidence-Based Knowledge Distillation to Reduce Training Costs and Carbon Footprint for Low-Resource Neural Machine Translation by Maria Zafar, Patrick J. Wall, Souhail Bakkali, Rejwanul Haque

“…Distilling knowledge from large deep NN models (teachers) to smaller NN models (students) is a widely adopted sustainable development approach in MT as well as in broader areas of natural language processing (NLP), including speech, and image processing. …”
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Research on Anti-Interference Performance of Spiking Neural Network Under Network Connection Damage by Yongqiang Zhang, Haijie Pang, Jinlong Ma, Guilei Ma, Xiaoming Zhang, Menghua Man

“…Background: With the development of artificial intelligence, memristors have become an ideal choice to optimize new neural network architectures and improve computing efficiency and energy efficiency due to their combination of storage and computing power. …”
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Auxiliary Converter System and It’s Characteristic Analysis of Locomotive HXD1C by 刘敏安, 刘长清

“…Auxiliary converter system of locomotive HXD1C and its logic control process was illustrated; the equivalent impedance of power circuit and characteristic of input inductance and DC-link circuit was analyzed; a method of estimating and computing the voltage and current on IGBT was proposed. …”
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Geometry-covering based localization for Jamming attack in wireless sensor networks by SUN Yan-qiang, WANG Xiao-dong, ZHOU Xing-ming

“…A geometry-covering based localization（GCL） algorithm was proposed with the purpose of localizing the jamming attacker in wireless sensor networks.The knowledge of the convex hull in computing geometry,especially the smallest circle covering,was utilized in the process of GCL.Simulation results showed that GCL is able to achieve higher accuracy than other comparable localization algorithms in most cases,and that has the time complexity of O（nlogn） which is proper for resource-constrained sensor networks.…”
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Analysis and development suggestions of operators in the field of industrial internet identification analysis system by Yufei CUI, Yunyong ZHANG, Di ZHANG, Xiaoxia WANG, Siyu PAN, Kun LI

“…With the development of industrial internet technology,5G and edge computing,countries have put forward their own industrial Internet development strategies and construction of industrial Internet platform.Cloud edge collaborative industrial Internet platform is an important part of the development of industrial Internet.The way of industrial Internet cloud edge collaboration was introduced,the problems in the process of cloud edge collaboration were expounded,and practices were taken based on data collaboration and model collaboration.…”
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On FSUM model and applications by Dang Huu Chung

“…In this paper a 3D model (FSUM) on tidal flows with sediment transport and bed morphology process taking into account the temperature-salinity exchange in estuaries and coastal zones is introduced in more detail. …”
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Data Compression with a Time Limit by Bruno Carpentieri

“…In this paper, we explore a framework to identify an optimal choice of compression algorithms that enables the best allocation of computing resources in a large-scale data storage environment: our goal is to maximize the efficiency of data compression given a time limit that must be observed by the compression process. …”
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Demonstration of Fault-Tolerant Steane Quantum Error Correction by Lukas Postler, Friederike Butt, Ivan Pogorelov, Christian D. Marciniak, Sascha Heußen, Rainer Blatt, Philipp Schindler, Manuel Rispler, Markus Müller, Thomas Monz

“…Our experimental findings show improved logical fidelities for Steane QEC and accompanying numerical simulations indicate an even larger performance advantage for quantum processors limited by entangling-gate errors. This establishes experimental Steane QEC as a competitive paradigm for FT quantum computing.…”
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FINITE ELEMENT MODELING OF THIN CIRCULAR SANDWICH PLATES DEFLECTION by K. S. Kurachka

“…The analytical expressions for computing local stiffness matrices are found, which can significantly speed up the process of forming the global stiffness matrix and increase the accuracy of calculations. …”
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Editorial: The role of artificial intelligence technologies in revolutionizing and aiding cardiovascular medicine by Omneya Attallah, Omneya Attallah, Xianghong Ma, Mohamed Sedky

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Reconfigurable Optical Directed Logic Circuits Based on Mode Division Multiplexing Technology by Mingrui Yuan, Yiyang Li, Huifu Xiao, Xudong Zhou, Pengfei Cao, Lin Cheng, Guanghui Ren, Qinfen Hao, Jiuzhi Xue, Arnan Mitchell, Yonghui Tian

“…The demonstrated RODLC characterized with reconfigurability, scalability, and ability for large-scale integration, will contribute to the flourishing development of optical computing and information processing in large-scale optical hybrid integrated circuits.…”
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Towards a Unified Framework for Software-Hardware Integration in Evolutionary Robotics by Edgar Buchanan, Léni K. Le Goff, Matthew F. Hale, Emma Hart, Agoston E. Eiben, Matteo De Carlo, Mike Angus, Robert Woolley, Jon Timmis, Alan F. Winfield, Andy M. Tyrrell

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An enhanced Walrus Optimizer with opposition-based learning and mutation strategy for data clustering by Laith Abualigah, Saleh Ali Alomari, Mohammad H. Almomani, Raed Abu Zitar, Hazem Migdady, Kashif Saleem, Aseel Smerat, Vaclav Snasel, Absalom E. Ezugwu

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Dynamic deep learning based super-resolution for the shallow water equations by Maximilian Witte, Fabrício R Lapolli, Philip Freese, Sebastian Götschel, Daniel Ruprecht, Peter Korn, Christopher Kadow

“…The neural network, originally developed for image-based super-resolution in post-processing, is trained to compute the difference between solutions on both meshes and is used to correct the coarse mesh solution every 12 h. …”
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Regularized Fractional Power Parameters for Image Denoising Based on Convex Solution of Fractional Heat Equation by Hamid A. Jalab

“…Denoising is one of the most fundamental image restoration problems in computer vision and image processing. This paper proposes an image denoising algorithm based on convex solution of fractional heat equation with regularized fractional power parameters. …”
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Performance analysis of diffusive thermo and thermo diffusive aspect in rate type chemically reactive liquid subject to variable fluid properties by Cyrus Raza Mirza, M. Waqas, Saja Mohammad Almohammadi, M. Zubair, Umid Turdialiyev, Nurnadiah Zamri, Nidhal Ben Khedher

“…Such rising relevance is noticeable in diverse utilizations, for illustration food processing techniques, scattering and formation of haze, damage of crop via freezing temperatures, cooling towers and the distribution of moisture together with temperature in both orchards and agricultural fields. …”
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IDBR: Interaction-Aware Dual-Granularity Learning for Bundle Recommendation by Jinqing Wang, Yuan Cao, Fan Zhang, Feifei Kou, Kaimin Wei, Jinghui Zhang, Jinpeng Chen

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Sequential novel use of Moringa oleifera Lam., biochar, and sand to remove turbidity, E. coli, and heavy metals from drinking water by Ahsan Shah, Arun Arjunan, Georgina Manning, Maryam Batool, Julia Zakharova, Alisha J. Hawkins, Fatima Ajani, Ioanna Androulaki, Anusha Thumma

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LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer, Kashif Munir, Madiha Amjad, Hasan J. Alyamani, Amine Bermak, Atiq Ur Rehman

“…This ensemble strategy ensures an optimal balance between detection performance and computational resource utilization, making it well-suited for IoT networks, where processing power and memory are limited. …”
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AMR‐Wind: A Performance‐Portable, High‐Fidelity Flow Solver for Wind Farm Simulations by Michael B. Kuhn, Marc T. Henry de Frahan, Prakash Mohan, Georgios Deskos, Matt Churchfield, Lawrence Cheung, Ashesh Sharma, Ann Almgren, Shreyas Ananthan, Michael J. Brazell, Luis A. Martínez‐Tossas, Regis Thedin, Jon Rood, Philip Sakievich, Ganesh Vijayakumar, Weiqun Zhang, Michael Sprague

“…It is a highly scalable code designed for parallel high‐performance computing with a specific focus on performance portability for current and future computing architectures, including graphical processing units (GPUs). …”
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