Applications of natural language processing and large language models in materials discovery by Xue Jiang, Weiren Wang, Shaohan Tian, Hao Wang, Turab Lookman, Yanjing Su

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HTML5-based graphic image processing and collaborative drawing technology by Yinghua Liang

“…This discovery provides important evidence for its practical application in many fields such as computer vision, medical imaging, and remote sensing image analysis, and helps to promote the development and innovation of image processing technology in these fields to meet the increasing practical needs.…”
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Understanding dual process cognition via the minimum description length principle. by Ted Moskovitz, Kevin J Miller, Maneesh Sahani, Matthew M Botvinick

“…We apply a single model based on this observation to findings from research on executive control, reward-based learning, and judgment and decision making, showing that seemingly diverse dual-process phenomena can be understood as domain-specific consequences of a single underlying set of computational principles.…”
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Statistical dynamics of flowing red blood cells by morphological image processing. by John M Higgins, David T Eddington, Sangeeta N Bhatia, L Mahadevan

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RMPJ: An ImageJ plugin for morphological information processing in biomedical images. by Yoshitaka Kimori

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An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling. by Sanmitra Ghosh, Paul J Birrell, Daniela De Angelis

“…An elegant approach to capturing environmental stochasticity is to model the force of infection as a stochastic process. However, inference in this context requires solving a computationally expensive "missing data" problem, using data-augmentation techniques. …”
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Enhancing Communication Security in Drones Using QRNG in Frequency Hopping Spread Spectrum by J. de Curtò, I. de Zarzà, Juan-Carlos Cano, Carlos T. Calafate

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Enhancing IoT Scalability and Interoperability Through Ontology Alignment and FedProx by Chaimae Kanzouai, Soukaina Bouarourou, Abderrahim Zannou, Abdelhak Boulaalam, El Habib Nfaoui

Subjects: “…IoT-edge computing…”
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The Relationship between the Cloud Computing Model and Information Technology Infrastructure Library (ITIL) from the Viewpoint of Experts by Isaias Scalabrin Bianchi, Antônio Pinto, Ruben Pereira

“…Understanding the impacts of the Cloud model on how companies organize their processes is essential. This study aims to investigate the main impacts of the Cloud Computing model on the processes within the Information Technology Infrastructure Library (ITIL) framework. …”
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A Secure and Efficient Framework for Multimodal Prediction Tasks in Cloud Computing with Sliding-Window Attention Mechanisms by Weiyuan Cui, Qianye Lin, Jiaqi Shi, Xingyu Zhou, Zeyue Li, Haoyuan Zhan, Yihan Qin, Chunli Lv

“…An efficient and secure computation framework based on the sliding-window attention mechanism and sliding loss function was proposed to address challenges in temporal and spatial feature modeling for multimodal data processing. …”
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A Hybrid Task Scheduling Technique in Fog Computing Using Fuzzy Logic and Deep Reinforcement Learning by Prashanth Choppara, S. Sudheer Mangalampalli

“…This has created a need for more effective methods of processing and managing this data. Conventional cloud computing often fails to fulfill the need of IoT usage in terms of high bandwidth, low makespan, and real-time processing. …”
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A secure and efficient encryption system based on adaptive and machine learning for securing data in fog computing by Priyanka Rajan Kumar, Sonia Goel

“…Abstract Fog computing, as a crucial component of the edge computing paradigm, offers significant advantages in terms of reduced latency and real-time processing. …”
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Efficient Task Scheduling and Load Balancing in Fog Computing for Crucial Healthcare Through Deep Reinforcement Learning by Prashanth Choppara, Bommareddy Lokesh

“…The paper addresses the limitations of cloud computing systems. It proposes and replaces a fog computing architecture in supporting low latency for healthcare applications. …”
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Edge Computing-Based Real-Time Forest Fire Detection Using UAV Thermal and Color Images by Lingxia Mu, Yichi Yang, Ban Wang, Youmin Zhang, Nan Feng, Xuesong Xie

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Quantum reservoir probing: An inverse paradigm of quantum reservoir computing for exploring quantum many-body physics by Kaito Kobayashi, Yukitoshi Motome

“…Quantum reservoir computing (QRC) is a brain-inspired computational paradigm that exploits the natural dynamics of a quantum system for information processing. …”
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Enhancing energy efficiency and cpu utilization in edge computing through deep learning-based data smoothing by Himabindu Sathyaveti, C. Gomathy

“…These enhancements help increase the eco-friendly and resourceful nature of edge computing. Results from experiments show that SOResNet improves both performance and energy efficiency in edge data processing for real-time systems.…”
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Selected Papers from the 2011 International Conference on Reconfigurable Computing and FPGAs (ReConFig 2011) by René Cumplido, Peter Athanas, Jürgen Becker

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A Secure Medical Data Framework Integrating Blockchain and Edge Computing: An Attribute-Based Signcryption Approach by Tengyue Dou, Zhiming Zheng, Wangjie Qiu, Chunxia Ge

“…The framework collects data via smart devices, which is then processed and encrypted at edge nodes and stored securely on the blockchain. …”
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High Performance Numerical Computing for High Energy Physics: A New Challenge for Big Data Science by Florin Pop

“…The computational methods presented are Monte Carlo methods and simulations of HEP processes, Markovian Monte Carlo, unfolding methods in particle physics, kernel estimation in HEP, and Random Matrix Theory used in analysis of particles spectrum. …”
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Empowering Diabetes Management Through Blockchain and Edge Computing: A Systematic Review of Healthcare Innovations and Challenges by K. Tlemcani, K. Azbeg, E. Saoudi, L. Fetjah, O. Ouchetto, S. Jai Andaloussi

“…We analyzed 52 studies, categorizing findings into three key areas: enhanced data security and privacy through decentralized frameworks and tamper-proof storage; real-time data processing, enabled by edge computing for immediate analytics and alerts; and scalability, achieved via hybrid architectures that optimize data handling. …”
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