Enhancing augmented reality with machine learning for hands-on origami training by Mikołaj Łysakowski, Jakub Gapsa, Chenxu Lyu, Thomas Bohné, Sławomir Konrad Tadeja, Piotr Skrzypczyński, Piotr Skrzypczyński

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Photonic chiplet interconnection via 3D-nanoprinted interposer by Huiyu Huang, Zhitian Shi, Giuseppe Talli, Maxim Kuschnerov, Richard Penty, Qixiang Cheng

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Blockchain-based computing and wireless communication resource joint management double auction model by Yan SUN, Ao XIONG, Chengling JIANG, Wei WANG, Dongxiao YU, Shaoyong GUO

“…In wireless communication networks, the stock of spectrum, computing, storage and other resources at the edge was limited.The traditional decentralized and exclusive resource allocation resulted in weak resource reuse capability and low utilization rate.At the same time, it was difficult to ensure the fairness of resource sharing in the traditional resource scheduling process due to the lack of trust between the owners.First, a double auction model of computing and wireless communication resource joint management based on blockchain was proposed.In the model, a resource market was established, in which resource buyers and sellers allocated resources through double auctions.Secondly, blockchain was used to store the resource information of buyers and sellers to solve the mutual trust problem of all parties in the network.Finally, the experimental simulation was carried out to verify that the proposed model effectively improved the system performance and resource utilization efficiency.…”
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Seamless and Modular Architecture for Autonomous Machine Tools by Jürgen Fleischer, Alexander Puchta, Philipp Gönnheimer

“…In machine tools, existing solutions for process monitoring and condition monitoring rely on additional sensors or the machine control system as data sources. …”
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Optimizing an image analysis protocol for ocean particles in focused shadowgraph imaging systems by Huanqing Huang, Alexander B. Bochdansky

“…To improve reconstruction of particles captured by Focused Shadowgraph Imaging (FoSI)—a system that excels at visualizing low-optical-density objects, we developed a novel object detection algorithm to process images with a resolution of ~ 12 μm per pixel. …”
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MTAHG and MTBHG: Modified Approaches for Interpreting Gravity Data by Hazel Deniz Toktay, Hanbing Ai, Ahmad Alvandi, Kejia Su, Jinlei Li

“…Locating these signatures using edge detection techniques is crucial for geological structural interpretation and imaging of horizontal boundaries. …”
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Segmentation and Isolation of Brain Tumors Using Different Images Segmentation Methods by Ahlam A. Hussain, Sarmad.H. Mahal, Ban S. Ismael

“…Segmentation in image processing is the process of dividing regions into different parts depending on various criteria such as intensity, homogeny and other.  …”
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Development of a mathematical model for the formation of a semi-convex helicoid shape of the knife of the executive body of the geokhod by Efremenkov A.B., Nikitin E.I., Pashkov D.A., Nozirzoda Sh.S.

“…The article discusses the process of developing a mathematical model for the formation of a semi-convex helicoid shape of the knife of the executive body of the geohod. …”
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An enhancement filter utilizing the modified arctangent function for the structural and tectonic interpretation of causative sources: Application to WGM2012 gravity data from the R... by Fengjun WU, Xin-Ai XU

“…While these methods improve edge detection, they also exhibit drawbacks, such as the generation of spurious edges and restricted resolution. …”
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Intelligent Data Reduction for IoT: A Context-Driven Framework by Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas

“…A new approach based on artificial intelligence is proposed in this article to process data at the edge of the network infrastructure, adopting a contextual relevance paradigm as an optimization criterion. …”
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Study of wetlands in the Ecuadorian Andes through the comparison of Landsat-8 and Sentinel-2 images by C. Jara, J. Delegido, J. Ayala, P. Lozano, A. Armas, V. Flores

“…The Landsat-8 and Sentinel-2 images were processed through a radiometric calibration (restoration of lost lines or píxels and correction of the stripe of the image) and an atmospheric correction (conversion of the digital levels to radiance values), to later calculate the Vegetation spectral indexes: NDVI, SAVI (L = 0.5) where L is a constant of the soil brightness component, EVI2 (improved vegetation index 2), NDWI (standard difference water index), WDRI (wide dynamic range vegetation index) and the Red Edge model that only this one has in Sentinel-2 in this study. …”
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Real-Time Object Detection for Edge Computing-Based Agricultural Automation: A Case Study Comparing the YOLOX and YOLOv12 Architectures and Their Performance in Potato Harvesting S... by Joonam Kim, Giryeon Kim, Rena Yoshitoshi, Kenichi Tokuda

“…Statistical analysis confirmed that YOLOX achieved a significantly higher throughput (107 vs. 45 FPS, <i>p</i> < 0.01) and superior energy efficiency (0.58 vs. 0.75 J/frame) than YOLOv12, meeting real-time processing requirements for agricultural automation. …”
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METHODOLOGY FOR TAKING INTO ACCOUNT THE MORPHOLOGICAL FEATURES OF RIVER CHANNELS AND DANKFULL DISCHARGES HEN ESTABLISHING THE PLANNED POSITION OF THE WATERCOURSE COASTLINES by Viktor M. Katolikov, Nataliya I. Katolikova, Vladimir Y. Georgiyevskiy

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Research on Cloud-Side Collaborative Meteorological Information Processing and Intelligent Services by Hongping SHU, Wang TANG, Fei LUO, Zhuoning ZHAO, Yaqiang WANG

“…China has set up the largest and most comprehensive ＆quot;land-air-space＆quot; integrated automatic meteorological observation network and integrated meteorological observation system in the world.Meteorological informatization has put forward new demands for digital transformation.From the perspective of cloud edges synergy distributed technology, according to the technical characteristics of cloud, edge and side collaborative distributed technique of meteorological information processing, according to the real business situation of the China meteorological administration, the implementation possibility of the cloud, edge and side collaborative technique in meteorological information processing and service were analyzed, and a model driven cloud, edge and side collaborative system architecture and service architecture for the meteorological information processing was proposed.…”
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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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NOMA-based secure computation offloading in marine Internet of things by JIANG Wei, YUAN Xiao, WANG Qian, QIAN Liping

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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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The Relationship Between Fracture Toughness and Blanking Performance of 850MPa Hot-Rolled Steels by Kesti Vili, Grifé Laura, Plosila Pekka, Frómeta David, Kaijalainen Antti

“…The test results indicate that the 850CP material demonstrates only a marginally better hole-expansion ratio (HER), but significantly enhanced cut edge quality in punching, shearing, and fine blanking processes. …”
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The Design of a Noise Detection Automatisation Tool in Library – Based on Internet of Things by Dhiya Alfiyyah Ansar Dhiya, Yuyun, Imran Taufik

“…This study aimed to implement a noise detection automation tool and a sound monitoring system based on the Arduino nano 33 BLE sense microcontroller in a library room. The Arduino processed the data from the sound sensor through the Edge Impulse platform. …”
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Forecast Padding Enhances Accuracy and Robustness of EEG-Phase-Synchronized TMS by Yu-Cheng Chang, Pin-Hsuan Chao, Yan-Ming Kuan, Chiu-Jung Huang, Li-Fen Chen, Wei-Chung Mao, Tung-Ping Su, Sin-Horng Chen, Chun-Shu Wei

“…Given the pervasive impact of filter edge effects in closed-loop neuromodulation and other signal processing domains, forecast padding shows broad application potential across various fields.…”
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