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3321
Budget-Constrained Runtime Allocation of Linked Data Services in Stream Processing
Published 2025-02-01Get full text
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3322
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3323
Investigating the modified UO-iteration process in Banach spaces by a digraph
Published 2025-06-01Get full text
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3324
Magnetite–Hematite Characterization at Micron Scale with Implications for Metallurgical Processing and Decarbonization
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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3325
Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection
Published 2022-01-01Get full text
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3326
CellProfiler 3.0: Next-generation image processing for biology.
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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3327
Review of Image Processing Methods for Surface and Tool Condition Assessments in Machining
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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3328
Assessment of Surface Roughness of Non-Metallic Materials during Laser Processing
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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3329
Model-Based Hardware-Software Codesign of ECT Digital Processing Unit
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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3330
Image Processing Algorithms and Measures for the Analysis of Biomedical Imaging Systems Applications
Published 2015-01-01Get full text
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3331
FedQP: Large-Scale Private and Flexible Federated Query Processing
Published 2025-01-01Get full text
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3332
Electromyography Signals in Embedded Systems: A Review of Processing and Classification Techniques
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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3333
Implementing Image Processing for Quality Inspection of Car Air Conditioning Vents
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3334
Modeling and simulation of residual stress in metal cutting process: A review
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3335
MOVEMENTS OF ANATOMICAL COMPLEX: CONDYLAR PROCESS, TEMPOROMANDIBULAR JOINT, TEMPORAL BONE
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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3336
Protein-Driven Electron-Transfer Process in a Fatty Acid Photodecarboxylase
Published 2024-12-01Get full text
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3337
ANALYSIS OF THE PROCESS OF IMPLEMENTING THE 5S METHOD AT ZPS "LUBIANA" S.A.
Published 2025-06-01Get full text
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3338
On-board Multi-User Detection Algorithm Based on Conditional Neural Process
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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3339
A Guide to Basic RNA Sequencing Data Processing and Transcriptomic Analysis
Published 2025-05-01Get full text
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3340
A new numerical method for processing longitudinal data: clinical applications
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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