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    Magnetite–Hematite Characterization at Micron Scale with Implications for Metallurgical Processing and Decarbonization by Beate Orberger, Christiane Wagner, Omar Boudouma, Nicolas Rividi, Christine Bauer, Rebecca Wagner, Ghasem Nabatian, Maryam Honarmand, Iman Monsef

    Published 2023-11-01
    “…These characteristics can be used for sorting at the exploration and extraction steps to reduce unvaluable materials at the loading and hauling steps, which contribute about 50% of the greenhouse gas emissions of the iron ore mining and mineral processing sector. These data also contribute to fine-tuning mineral processing parameters.…”
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    CellProfiler 3.0: Next-generation image processing for biology. by Claire McQuin, Allen Goodman, Vasiliy Chernyshev, Lee Kamentsky, Beth A Cimini, Kyle W Karhohs, Minh Doan, Liya Ding, Susanne M Rafelski, Derek Thirstrup, Winfried Wiegraebe, Shantanu Singh, Tim Becker, Juan C Caicedo, Anne E Carpenter

    Published 2018-07-01
    “…CellProfiler's infrastructure is greatly improved, and we provide a protocol for cloud-based, large-scale image processing. New plugins enable running pretrained deep learning models on images. …”
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  7. 3327

    Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining by Ali Ercetin, Oguzhan Der, Fatih Akkoyun, Manjunath Patel Gowdru Chandrashekarappa, Ramazan Şener, Mücahit Çalışan, Nevzat Olgun, Ganesh Chate, Kurki Nagaraja Bharath

    Published 2024-10-01
    “…It examines the integration of image processing in traditional Computer Numerical Control (CNC) machining and micromachining, focusing on its role in tool wear analysis, workpiece detection, automatic CNC programming, and defect inspection. …”
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  8. 3328

    Assessment of Surface Roughness of Non-Metallic Materials during Laser Processing by V. A. Alekseev, A. V. Usoltseva, V. P. Usoltsev, S. I. Yuran

    Published 2024-07-01
    “…Experimental studies of the surface of non-metallic materials have been carried out to determine the roughness parameters of materials such as leather, bone, wood, plastic after processing the surface of materials with a laser beam. …”
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  9. 3329

    Model-Based Hardware-Software Codesign of ECT Digital Processing Unit by Atef Allam, Wael Deabes

    Published 2021-01-01
    “…Image reconstruction algorithm and its controller constitute the main modules of the electrical capacitance tomography (ECT) system; in order to achieve the trade-off between the attainable performance and the flexibility of the image reconstruction and control design of the ECT system, hardware-software codesign of a digital processing unit (DPU) targeting FPGA system-on-chip (SoC) is presented. …”
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    Electromyography Signals in Embedded Systems: A Review of Processing and Classification Techniques by José Félix Castruita-López, Marcos Aviles, Diana C. Toledo-Pérez, Idalberto Macías-Socarrás, Juvenal Rodríguez-Reséndiz

    Published 2025-03-01
    “…Architectures analyzed include microcontrollers, DSP, FPGA, SoC, and neuromorphic computers/chips in terms of precision, processing time, energy consumption, and cost. …”
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    MOVEMENTS OF ANATOMICAL COMPLEX: CONDYLAR PROCESS, TEMPOROMANDIBULAR JOINT, TEMPORAL BONE by R.S. Palyvoda, A.S. Volovar, A.V. Malikov

    Published 2018-03-01
    “…We measured the main distances of these region using computer program Simplant (Materialise, Belgium) and data of computer tomography (My Ray Sky View, Hyperion x7, Italy). …”
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    On-board Multi-User Detection Algorithm Based on Conditional Neural Process by Yilun LIU, Liang JIN, Jiali LI, Lidong ZHU

    Published 2021-12-01
    “…With the characteristics of all-terrain, all-weather and seamless coverage, satellite communications have become a potentially important part of 6G.An important prerequisite for achieving satellite intelligence is that the satellite have on-board processing capabilities.Multi-user detection (MUD) is a classic method of suppressing multiple access interference (MAI) in wireless communication, such as MMSE, Gaussian processregression (GPR) and other algorithms.Due to the inverse matrix required in the detection process, the algorithm complexity is usually cubic, and it is diff cult to directly apply to satellite platforms because of its limited processing capabilities.The conditional neural process combined the characteristics of the low complexity of the neural network and the data-eff cient of the Gaussian process.The neural network was used to parameterized the Gaussian process to avoided the inversion of the matrix, thereby reduced the computational complexity.The application of conditional neural process in MUD was studied.The simulation results showed that, while reduced complexity, conditional neural process also greatly improved the performance of bit error rate (BER).…”
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    A new numerical method for processing longitudinal data: clinical applications by Ilaria Stura, Emma Perracchione, Giuseppe Migliaretti, Franco Cavallo

    Published 2018-06-01
    “…Background: Processing longitudinal data is a computational issue that arises in many applications, such as in aircraft design, medicine, optimal control and weather forecasting. …”
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