TinyML-Based Lightweight AI Healthcare Mobile Chatbot Deployment by Johnvictor AC, Poonkodi M, Prem Sankar N, VS T

“…To address these security concerns and ensure swift operation, this study has developed a chatbot tailored for hospital environments, running on a local server, and utilising TinyML for processing patient data.Patients and Methods: Edge computing technology enables secure on-site data processing. …”
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Signaling collection and monitoring technology based on FKS by Baoyou WANG, Jian YAO, Zhengqing ZHANG

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Signaling collection and monitoring technology based on FKS by Baoyou WANG, Jian YAO, Zhengqing ZHANG

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Data-Driven Analysis: Examining the Impact of COVID-19 from the Perspective of Residential and Non-Residential Electricity Consumption by Zhiheng Yang, Xiu Cao, Qifan Zhang

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Systematic Literature Review of Barriers and Enablers to Implementing Food Informatics Technologies: Unlocking Agri-Food Chain Innovation by William Alejandro Orjuela-Garzon, Angélica Sandoval-Aldana, Jonh Jairo Mendez-Arteaga

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RivAIr: A custom-designed UAV-based sensor for real-time water area segmentation and surface velocity estimation by Marco La Salandra, Rosa Colacicco, Simone Panza, Giovanni Fumai, Pierfrancesco Dellino, Domenico Capolongo

“…Unlike existing methods that rely on post-processing, RivAIr is purpose-built for real-time field deployment in data-scarce or emergency scenarios.RivAIr integrates YOLOv8 with an optimized Farneback dense optical flow algorithm focused on water bodies, improving motion estimation accuracy while reducing runtime for real-time UAV processing. …”
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MobiRDF: A cloud-based collaborative editing service for mobile RDF data sharing by Nadir Guetmi, Abdessamad Imine, Moulay Driss Mechaoui

“…It uses commutativity-based consistency model to maintain the consistency of the shared RDF graph, ensuring seamless collaboration among users. The heavier computational tasks, such as dynamic group management, synchronization merging, and reasoning processes, are managed in the Cloud, optimizing the performance of resource-constrained mobile devices. …”
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Emerging 2D Material‐Based Synaptic Devices: Principles, Mechanisms, Improvements, and Applications by Zheyu Yang, Zhe Zhang, Shida Huo, Fanying Meng, Yue Wang, Yuexuan Ma, Baiyan Liu, Fanyi Meng, Yuan Xie, Enxiu Wu

“…ABSTRACT The von Neumann architecture is encountering challenges, including the “memory wall” and “power wall” due to the separation of memory and central processing units, which imposes a major hurdle on today's massive data processing. …”
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Efficient productivity prediction model based on edge data compression in smart farms by Peng Jin, Wenshuang Du, Wenquan Jin

“…By integrating Internet of Things (IoT) devices with edge computing, smart farms significantly improve real-time data processing and decision-making capabilities, thereby enhancing agricultural productivity. …”
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Data efficient prediction of excited-state properties using quantum neural networks by Manuel Hagelueken, Marco F Huber, Marco Roth

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Efficient Hybrid DDPG Task Scheduler for HPC and HTC in Cloud Environment by S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Atif M. Alamri, Salman A. Alqahtani

“…Task Scheduling is a crucial challenge in cloud computing as diversified tasks come rapidly onto cloud console dynamically from heterogeneous resources which consists of different task lengths, processing capacities. …”
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AnVILWorkflow: A runnable workflow package for Cloud-implemented bioinformatics analysis pipelines [version 1; peer review: 2 approved] by Sean Davis, Marcel Ramos, Michael C. Schatz, Kai Gravel-Pucillo, Levi Waldron, Sehyun Oh, Martin Morgan, Vincent Carey

“…We demonstrate the utility of AnVILWorkflow for three use cases: bulk RNA-seq analysis with Salmon, metagenomics analysis with bioBakery, and digital pathology image processing with PathML. The key features of AnVILWorkflow include user-friendly browsing of available data and workflows, seamless integration of R and non-R tools within a reproducible analysis pipeline, and accessibility to scalable computing resources without direct management overhead. …”
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Real-Time FTM-Based Victim Positioning System Using Heterogeneous Robots in Remote and Outdoor Scenarios by Juan Bravo-Arrabal, Carlos Simon Alvarez-Merino, Manuel Toscano-Moreno, Javier Seron-Barba, J. J. Fernandez-Lozano, Jose Antonio Gomez-Ruiz, Emil J. Khatib, Raquel Barco, Alfonso Garcia-Cerezo

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Robust Speech Recognition Based on Mixed Histogram Transform and Asymmetric Noise Suppression by Hassan Farsi, Samana Kuhimoghadam

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Performance analysis and testing of personal influence algorithm in online social networks by Yong QUAN, Yan JIA, Liang ZHANG, Zheng ZHU, Bin ZHOU, Binxing FANG

“…Social influence is the key factor to drive information propagation in online social networks and can be modeled and analyzed with social networking data.As a kind of classical personal influence algorithm,two parallel implementation versions of a PageRank based method were introduced.Furthermore,extensive experiments were conducted on a large-scale real dataset to test the performance of these parallel methods in a distributed environment.The results demonstrate that the computational efficiency of the personal influence algorithm can be improved significantly in massive data sets by virtue of existing big data processing framework,and provide an empirical reference for the future research and optimization of the algorithm as well.…”
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Joint optimization algorithm for task offloading resource allocation based on edge-end collaboration by Liuqing WU, Xiaorong ZHU

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Spin-controlled photonics via temporal anisotropy by Rizza Carlo, Castaldi Giuseppe, Galdi Vincenzo

“…These results provide new insights into the field of temporal metamaterials, and suggest potential applications in communications, optical processing and quantum technologies.…”
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Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics by Kenji Ueda, Masaki Nishiura

“…While positive-valued posteriors have previously been introduced through sampling-based approaches in the original GPT method, our alternative approach implements a logarithmic Gaussian process (log-GP) for faster computation and more natural enforcement of non-negativity. …”
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Light weighted privacy protection ViT inference framework based on secret sharing by MA Min, FU Yu, HUANG Kai, JIA Xiaofeng

“…The ViT (vision transformer) inference framework, which was widely used in image processing, was found to have a risk of leaking user privacy data. …”
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An Automatic Welding Seam Extraction Method for Butt Workpieces with Varying Seam Widths Based on DLP Vision by Linbo Hao, Huaming Wang, Zeyu Sun, Yiming Wang, Bin Li, Shaohua Jiang, Zhiqiang Liu

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