Pattern Recognition of Spiking Neural Networks Based on Visual Mechanism and Supervised Synaptic Learning by Xiumin Li, Hao Yi, Shengyuan Luo

“…Considering the fact that the most commonly used deep learning neural networks need big data samples and high power consumption in image recognition, this brain-inspired computational neural network model based on the layer-by-layer hierarchical image processing mechanism of the visual cortex may provide a basis for the wide application of spiking neural networks in the field of intelligent computing.…”
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Inaugural Editorial by Walid Saad

“…I am delighted to introduce the inaugural volume of the IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), which is an interdisciplinary journal supported by the IEEE Communications Society, the IEEE Signal Processing Society, the IEEE Vehicular Technology Society, and the IEEE Computer Society. …”
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Are queries and keys always relevant? A case study on transformer wave functions by Riccardo Rende, Luciano Loris Viteritti

“…The dot product attention mechanism, originally designed for natural language processing tasks, is a cornerstone of modern Transformers. …”
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A dynamic examination of the digital circuit implementing the Fitzhugh-Nagumo neuron model with emphasis on low power consumption and high precision. by Mehdi Nadiri Andabili, Soheila Nazari, Tohid Moosazadeh

“…Neuromorphic computing has got more attention in various tasks during recent years. …”
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Internet of things data security and privacy protection based on improved federated learning by Wang Gang

“…Experimental results demonstrate that the improved method can improve the accuracy of the learning model and ensure the efficiency of data processing while protecting user privacy in data sharing.…”
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A voxel-based approach for simulating microbial decomposition in soil: Comparison with LBM and improvement of morphological models. by Mouad Klai, Olivier Monga, Mohamed Soufiane Jouini, Valérie Pot

“…This paper deals with the computational modeling of biological dynamics in soil using an exact micro-scale pore space description from 3D Computed Tomography (CT) images. …”
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Attention Mechanism-Based Cognition-Level Scene Understanding by Xuejiao Tang, Wenbin Zhang

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Research Progress of Silicon based Micro Ring Resonators by HOU Linjun, FENG Song, OUYANG Jie, HU Xiangjian, LI Haojie, GUO Shaokai, LIU Yong, WANG Di, CHEN Menglin, FENG Lulu, ZHOU Ran, WU Jianyang, ZENG Yuling, HE Xinyi

“…MRR can be used for applications such as high-speed optical communication and optical signal processing. By injecting optical signals into the MRR, functions such as filtering, modulation, and amplification of optical signals can be achieved, thereby improving the transmission rate and reliability of optical communication. …”
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ИНДУСТРИЯ 4.0 ЖАҒДАЙЫНДА ЖЕТКІЗУ ТІЗБЕГІН БАСҚАРУ: ЖҮЙЕЛІ ӘДЕБИЕТ ТАЛДАУЫ

“…The introduction of the supply chain management system into the processing industry has many advantages. The active use of Industry 4.0 technology in ensuring the production of raw materials, organizing the production cycle, distributing products through retail chains, delivering finished products to the final consumer influences the reduction of production costs, as a result of which the competitiveness of the enterprise will increase.…”
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A Bibliometric Analysis of Convection-Permitting Model Research by Xiaozan Lyu, Tianqi Ruan, Xiaojing Cai

“…., dominate publications from 2018 to 2023, coinciding with advances in computing power. Notably, terms associated with CPM physical processes received the highest citations from 2000 to 2023, underscoring the importance of such these research topics. …”
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Multiscale Eight Direction Descriptor-Based Improved SAR–SIFT Method for Along-Track and Cross-Track SAR Images by Wei Wang, Jinyang Chen, Zhonghua Hong

“…To improve efficiency, the method adopts the main and additional image overlapping area matching method to reduce the search range and uses multi-core CPU+GPU collaborative parallel computing to boost the efficiency of the SAR–SIFT algorithm by block processing the overlapping area. …”
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Enhancing Distributed Machine Learning through Data Shuffling: Techniques, Challenges, and Implications by Zhang Zikai

“…As distributed machine learning scales across multiple computing nodes, the ability to shuffle data effectively and efficiently has become essential for achieving high-quality model performance and minimizing communication costs. …”
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Mobile Secured IoT Sensors-Driven Network Using Efficient QoS Management by Mohammad Siraj, Majid Altamimi, Zeeshan Ahmad Abbasi

“…Most solutions enhance the management of data flow using centralized computing, but distributed and heterogeneous channels still cause reliability issues. …”
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Improved simultaneous localization and mapping algorithm combined with semantic segmentation model by Xuerong Cui, Shengjie Xue, Juan Li, Shibao Li, Jianhang Liu, Haihua Chen

“…Second, in the feature-processing stage, three parts are improved to reduce the computing complexity, which are extracting, matching, and eliminating mismatching feature points. …”
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Periodic Variations of an Autowave Structure in Two-dimensional System of Parabolic Equations by Alina A. Melnikova, Natalia N. Deryugina

“…Note that the numerical experiment for the two-dimensional spatial models requires a considerable amount of processing power and the use of parallel computing techniques and does not allow to effectively analyze and modify the model. …”
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Cloud Service for Interactive Simulation of Interregional Trade by A. S. Velichko, V. V. Gribova, L. A. Fedorishchev

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Quantum metamaterials: Applications in quantum information science by Solomon Uriri, Yaseera Ismail, Mhlambululi Mafu

“…Metamaterials have gradually made their way into the quantum regime since the advent of quantum computing and quantum sensing and imaging. Quantum metamaterials are a relatively new technology, and their use in quantum information processing has proliferated. …”
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Detection and classification of lung diseases in distributed environment by Thuong-Cang Phan, Anh-Cang Phan

“…A significant increase in the size of the medical data, as well as the complexity of medical diagnosis, poses challenges to processing this data in a reasonable time. The use of big data is expected to have the upper hand in managing the large-scale datasets. …”
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USE OF METHODOLOGICAL TASKS IN PROFESSIONAL TRAINING OF FUTURE TEACHERS OF INFORMATICS by Nataliia S. Pavlova

“…The results of a survey of students studying in the specialty 014 Secondary Education (Informatics) to determine the difficulties they encountered during the development of syllabi for lessons in computer science and their reproduction in a simulated educational process are presented. …”
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A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification by Mahesh Anil Inamdar, Anjan Gudigar, U. Raghavendra, Massimo Salvi, Raja Rizal Azman Bin Raja Aman, Nadia Fareeda Muhammad Gowdh, Izzah Amirah Binti Mohd Ahir, Mohd Salahuddin Bin Kamaruddin, Khairul Azmi Abdul Kadir, Filippo Molinari, Ajay Hegde, Girish R. Menon, U. Rajendra Acharya

“…The integration of explainable Artificial Intelligence tools improve clinical trustworthiness by offering clear insight into the model’s decision-making process. These outcomes demonstrate the model’s potential to use in actual clinical settings for quick and accurate stroke diagnosis, along with its interpretability and computational efficiency.…”
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