Age-related Spike Timing Dependent Plasticity of Brain-inspired Model of Visual Information Processing with Reinforcement Learning by Petia Koprinkova-Hristova, Nadejda Bocheva

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Dynamically Changing Parallelism with the Asynchronous Sequential Data Flows by Alexander I. Legalov, Ivan V. Matkovskii, Mariya S. Ushakova, Darya S. Romanova

“…Our main idea is to apply the Hoar concept of communicating sequential processes to the computation control on the data readiness. …”
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Dynamic Load Balancing Based on Hypergraph Partitioning for Parallel Geospatial Cellular Automata Models by Wei Xia, Qingfeng Guan, Yuanyuan Li, Hanqiu Yue, Xue Yang, Huan Gao

“…This paper presents a dynamic load balancing method based on hypergraph partitioning for multi-process parallel geospatial CA models. During the simulation, the sub-domains are dynamically reassigned to computing processes through hypergraph partitioning according to the spatial variation in computational workloads to restore load balance. …”
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The RaDiCo information system for rare disease cohorts by Paul Landais, Sonia Gueguen, Annick Clement, Serge Amselem, for the RaDiCo Program

“…Material and methods Constructed on the cloud computing principle, the RaDiCo platform was designed to promote mutualization and factorization of processes and services, for both clinical epidemiology support and IS. …”
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Improving the Quality of Software Development Process by Introducing a New Methodology–AZ-Model by Muhammad Azeem Akbar, Jun Sang, Arif Ali Khan, Fazal-E-Amin, Nasrullah, Muhammad Shafiq, Shahid Hussain, Haibo Hu, Manzoor Elahi, Hong Xiang

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Automated segmentation of medical images for 3D printing – voxel centric processing of spatially textured voxels by Norman Cushing, Barry Fell, Kazi Safowan Shahed, Kevin W. Moser, Guha Manogharan

“…Finally, this VCP approach can process 3D digital input mapped to physical attributes that require an understanding of the internal structure for 3D-printing but could be extended to computational analysis with site-specific properties.…”
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A Unified Distributed Computing Framework with Mobile Multi-Agent Systems and Virtual Machines for Large-Scale Applications: From the Internet-of-Things to Sensor Clouds by Stefan Bosse

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Near-Sensor Edge Computing System Enabled by a CMOS Compatible Photonic Integrated Circuit Platform Using Bilayer AlN/Si Waveguides by Zhihao Ren, Zixuan Zhang, Yangyang Zhuge, Zian Xiao, Siyu Xu, Jingkai Zhou, Chengkuo Lee

“…Highlights A novel near-sensor edge computing system integrates aluminum nitride (AlN) microrings for photonic feature extraction and Si Mach–Zehnder interferometers for photonic neural network operations, achieving real-time artificial intelligence (AI) processing. …”
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Integrating human-centric automation and sustainability through the NAToRM framework: A neuromorphic computing approach for resilient industry 5.0 supply chains by Steven M. Williamson, Victor Prybutok

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Improving multifunctional monolithic nano-device by single (Al,Ga)N nanowire/graphene van der Waals heterostructure for neuromorphic computing, photodetection and imaging by Min Zhou, Min Jiang, Chaoyun Song, Kai Xu, Zexin Yu, Lifeng Bian, Liubin Yang, Jianya Zhang, Shulong Lu, Yukun Zhao

“…Leveraging this synaptic plasticity, the device achieves over 90% accuracy in image processing tasks. This work introduces a multifunctional integration strategy that advances neuromorphic computing efficiency and optoelectronic device design, demonstrating the feasibility of simultaneous imaging and brain-inspired computation in compact systems.…”
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Exploring Spin-Crossover Cobalt(II) Single-Ion Magnets as Multifunctional and Multiresponsive Magnetic Devices: Advancements and Prospects in Molecular Spintronics and Quantum Comp... by Renato Rabelo, Luminita M. Toma, Abdeslem Bentama, Salah-Eddine Stiriba, Rafael Ruiz-García, Joan Cano

“…Spin-crossover (SCO) and single-ion magnets (SIMs), or their mixed SCO-SIM derivatives, are a convenient solution in the evolution from molecular magnetism toward molecular spintronics and quantum computing. Herein, we report on the current trends and future directions on the use of mononuclear six-coordinate Co^II SCO-SIM complexes with potential opto-, electro-, or chemo-active 2,6-pyridinediimine (PDI)- and 2,2′:6′,2′-terpyridine (TERPY)-type ligands as archetypical examples of multifunctional and multiresponsive magnetic devices for applications in molecular spintronics and quantum computing technologies. …”
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Artificial optoelectronic synapses based on Ga2O3 metal–semiconductor–metal solar‐blind ultraviolet photodetectors with asymmetric electrodes for neuromorphic computing by Huazhen Sun, Bingjie Ye, Mei Ge, Biao Gong, Leyang Qian, Irina N. Parkhomenko, Fadei F. Komarov, Yu Liu, Guofeng Yang

“…Abstract Research on optoelectronic synapses that can integrate both detection and processing functions is essential for the development of efficient neuromorphic computing. …”
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Performance and variability analysis of ALD-grown wafer scale HfO2/Ta2O5-based memristive devices for neuromorphic computing by Sanjay Kumar, Sanjay Kumar, Deepika Yadav, Spyros Stathopoulos, Themis Prodromakis

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Estimating Total Sediment Load Using Water Quality Parameters in the Sufi Chay River, Iran: A Comparative Analysis of Soft Computing and Dimensionless Approaches by Jafar Chabokpour

“…Traditional statistical methods, dimensionless parameter analysis, and advanced soft computing techniques are combined within the scope of the presented comprehensive analysis. …”
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Reproducibility assessment of magnetic resonance spectroscopy of pregenual anterior cingulate cortex across sessions and vendors via the cloud computing platform CloudBrain-MRS by Runhan Chen, Meijin Lin, Jianshu Chen, Liangjie Lin, Jiazheng Wang, Xiaoqing Li, Jianhua Wang, Xu Huang, Ling Qian, Shaoxing Liu, Yuan Long, Di Guo, Xiaobo Qu, Haiwei Han

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Business Logic Vulnerabilities in the Digital Era: A Detection Framework Using Artificial Intelligence by Bilgin Metin, Martin Wynn, Aylin Tunalı, Yağmur Kepir

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Ensuring Reliable Network Communication and Data Processing in Internet of Things Systems with Prediction-Based Resource Allocation by Weronika Symbor, Łukasz Falas

“…The distributed nature of IoT systems and new trends focusing on fog computing enforce the need for reliable communication that ensures the required quality of service for various scenarios. …”
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Enhancing Fairness in Autonomous Vehicles: Proof of Confidence With Blockchain Technology by Jimin Ryu, Yong Ik Yoon

“…It is expected that this will be further optimized by utilizing distributed and edge computing technologies. The workflow for performing this algorithm is presented in a four-step design, which is a proposal that surpasses existing methods by adopting a process in which PoC selects a Lead-Node among nodes in the area and reaches an agreement by priority in managing a large transaction volume. …”
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Highly durable and energy‐efficient probabilistic bits based on h‐BN/SnS2 interface for integer factorization by Joon‐Kyu Han, Jun‐Young Park, Shania Rehman, Muhammad Farooq Khan, Moon‐Seok Kim, Sungho Kim

“…Recent advancements in probabilistic computing approaches have demonstrated significant potential for addressing these problems more efficiently than conventional deterministic computing methods. …”
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Overview of Startups Developing Artificial Intelligence for the Energy Sector by Naiyer Mohammadi Lanbaran, Darius Naujokaitis, Gediminas Kairaitis, Gabrielė Jenciūtė, Neringa Radziukynienė

“…Adding to the progress of AI, quantum computing (QC) shows great potential despite being a nascent area. …”
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