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    Characteristics of coal powder-gas mixture combustion in rotary kiln by Nan ZHAO, Peng LIU, Zijian MA, Renguo HU, Anzhou LIU

    Published 2025-04-01
    “…Currently, a large amount of high temperature furnace gas is discharged in the smelting process of electric furnace, which causes energy waste and environmental pollution. …”
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    Article
  6. 27206

    From detection to intervention: An end-to-end system for recognizing the “signal for help” gesture in real-time by Federico Buccellato, Eleonora Vacca, Sarah Azimi, Corrado De Sio, Luca Sterpone

    Published 2025-06-01
    “…Despite its potential, its effectiveness has been impeded by limited public awareness, the risk of misinterpretation, and the lack of reliable automated detection systems.To address these challenges, this paper introduces a framework consisting of two interconnected components: a real-time detection system of the “Signal for Help” gesture using a machine learning-based recognition system and a custom mobile application that receives notifications from the detection system and alerts security personnel in real-time.During the development process, we faced several challenges, including detecting the gesture in crowded environments and keeping the computational load low to ensure the system could run efficiently on edge devices.We overcame these challenges by designing a system that combines hand tracking and feature extraction, using tools such as MediaPipe and DeepSORT, followed by a final classification step. …”
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  7. 27207

    Single-Stage Entity–Relation Joint Extraction of Pesticide Registration Information Based on HT-BES Multi-Dimensional Labeling Strategy by Chenyang Dong, Shiyu Xi, Yinchao Che, Shufeng Xiong, Xinming Ma, Lei Xi, Shuping Xiong

    Published 2024-12-01
    “…Through utilizing a parallel scoring function and fine-grained classification components, the joint extraction of entities and relations is transformed into a multi-label sequence labeling task based on relation dimensions. This process does not involve interdependent steps, thus enabling single-stage parallel labeling, preventing exposure bias and reducing computational redundancy. …”
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  8. 27208

    Tuning the ICON-A 2.6.4 climate model with machine-learning-based emulators and history matching by P. Bonnet, L. Pastori, M. Schwabe, M. Giorgetta, F. Iglesias-Suarez, V. Eyring, V. Eyring

    Published 2025-06-01
    “…This is traditionally a computationally expensive step as it requires a large number of climate model simulations. …”
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    Article
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