Multiphase Flow Estimation Using Image Processing حسب unknown

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Automatic image quality evaluation in digital radiography using for‐processing and for‐presentation images حسب Ioannis A. Tsalafoutas (14776939)

"…<h3>Purpose</h3><p dir="ltr">To investigate the impact of digital image post‐processing algorithms on various image quality (IQ) metrics of radiographic images under different exposure conditions.…"

Multiphase Flow Estimation using Digital Image Processing حسب unknown

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Low-Light Image Enhancement Using Image-to-Frequency Filter Learning حسب Al Sobbahi, Rayan

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Nonlinear analysis of shell structures using image processing and machine learning حسب M.S. Nashed (16392961)

"…<p dir="ltr">In this paper, we propose a novel approach to solve nonlinear stress analysis problems in shell structures using an image processing technique. In general, such problems in design optimisation or virtual reality applications must be solved repetitively in a short period using direct methods such as nonlinear finite element analysis. …"

Low-Light Image Enhancement for Object Classification using Deep Learning حسب Al Sobbahi, Rayan

"…Low-light image (LLI) enhancement is an important image processing task that aims at improving the illumination of images taken under low-light conditions. …"
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Nondestructive evaluation of hybrid concrete properties using image processing and machine learning حسب Vagelis Plevris (14158863)

"…<p>Advancements in informatics, such as image processing (IP) and machine learning (ML), are increasingly being utilized to evaluate the mechanical properties of reinforced concrete structures. …"

REAL-TIME MONITORING OF THE ARC WELDING PROCESS USING THERMAL IMAGING حسب unknown

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Feature modeling using polynomial classifiers and stepwise regression حسب Shanableh, Tamer

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Stress Classification Using Photoplethysmogram-Based Spatial and Frequency Domain Images حسب Sami Elzeiny (16891521)

Image-CNN Based Process Control of Profile حسب Zeinab, Zeinab Jihad

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An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge حسب Zaulkernan, Imran

"…Camera trap image data consisting of 66,400 images were used to train the InceptionV3, MobileNetV2, ResNet18, EfficientNetB1, DenseNet121, and Xception neural network models. …"
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Preprocessing Techniques for End-To-End Trainable RNN-Based Conversational System حسب Maziad, Hussein

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Sentiment Mining of Arabic Twitter Data حسب Ahmed, Soha Galalaldin Khider

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An image processing and genetic algorithm-based approach for the detection of melanoma in patients حسب Tokajian, Sima

"…In this paper, we present a twophase technique to classify images of lesions into benign or malignant. The first phase consists of an image processing-based method that extracts the Asymmetry, Border Irregularity, Color Variation and Diameter of a given mole. …"
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Two-Stage Deep Learning Solution for Continuous Arabic Sign Language Recognition Using Word Count Prediction and Motion Images حسب Shanableh, Tamer

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A Highly Efficient And Automated Approach To Identifying And Classifying Urban Traffic Images Using Self Organizing Maps and Artificial Intelligence. (c2006) حسب Bey, Hisham Mardam

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Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques حسب Abdul Karim (417009)

"…This conclusion was achieved after preprocessing a number of data values from these data sets.…"

Automatic image quality evaluation in digital radiography using a modified version of the IAEA radiography phantom allowing multiple detection tasks حسب Ioannis A. Tsalafoutas (14776939)

"…<h3>Purpose</h3><p dir="ltr">To evaluate image quality (IQ) of for‐processing (raw) and for‐presentation (clinical) radiography images, under different exposure conditions and digital image post‐processing algorithms, using a phantom that enables multiple detection tasks.…"

Recursive Quad-Tree Block Partitioning for Data Embedding in Images حسب Shanableh, Tamer

"…In this paper, we propose to embed messages in raw images using a recursive block partitioning technique adopted from HEVC video coding technology. …"
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