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input processing » text processing (Expand Search), melt processing (Expand Search)
input processing » text processing (Expand Search), melt processing (Expand Search)
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Integrated Multi-Criteria Model for Long-Term Placement of Electric Vehicle Chargers
Published 2022“…To evaluate the effectiveness of the proposed method, it is applied to a real case study of Qatar University with collected certain attributes data and relevant decision makers as the inputs to the linguistic assessments and MCDM model. …”
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An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques
Published 2025“…Identifying the precise regions in medical images containing cancerous cells plays a crucial role in the diagnostic process. …”
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Benchmarking Energy Management Systems in Metro Stations
Published 2015Get full text
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Cancerous and Non-Cancerous MRI Classification Using Dual DCNN Approach
Published 2024“…Early and accurate diagnosis using non-invasive medical imaging is critical for successful treatment and patient survival. …”
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An efficient scheme for tilt correction in Arabic OCR system
Published 2005“…Preprocessing stage is required in almost every image processing application ranging from biometric analysis to document image analysis. …”
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BEMD-3DCNN-based method for COVID-19 detection
Published 2022“…The process includes using the Bi-dimensional Empirical Mode Decomposition (BEMD) technique to decompose the original image into IMFs, and then building a video of these IMF images. …”
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State-of-Health and State-of-Charge Estimation in Electric Vehicles Batteries: A Survey on Machine Learning Approaches
Published 2024“…Moreover, this paper addresses ML tools developed for lithium-ion batteries (LiBs), image processing applications in EV batteries, and an in-depth investigation of the system model for ML-based SoH and SoC estimation. …”
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Maximum common induced subgraph parameterized by vertex cover
Published 2014Get full text
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Machine vision algorithm for MCQ automatic grading – MVAAG
Published 2025“…There has been an evolution in the used technology to automate MCQ grading including optical mark recognition (OMR), optical character recognition (OCR), digital image processing (DIP), etc. In this article, we propose a robust solution for MCQ automatic grading using image processing techniques – MVAAG. …”
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On the exact recovery of higher-order moments of noisy signals
Published 1996“…We introduce a new moment-sense input/output function hp(x) that statistically characterizes the quantizer. …”
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InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification
Published 2021“…<p dir="ltr">We present a shape processing framework for visual exploration of cellular nuclear envelopes extracted from microscopic images arising in histology and neuroscience. …”
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Non-Destructive Water Leak Detection Using Multitemporal Infrared Thermography
Published 2021“…In this study, to improve the detection and location accuracy, a digital image processing tool based on multitemporal IR is proposed. …”
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