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Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem
Published 2016“…This research note describes Response-Based Unit Segmentation (REBUS), a “latent class detection” technique used in partial least squares–structural equation modeling (PLS-SEM) to examine data heterogeneity. …”
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A Novel Technique to Diagnose Sleep Apnea in Suspected Patients Using Their ECG Data
Published 2019“…Probability density functions of data, both when Apnea is present and when it is not, are obtained by constructing histograms of decision variable for each signal segment. …”
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Breast Density Estimation in Mammograms Using Unsupervised Image Segmentation
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Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization
Published 2020“…In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques. …”
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MSEUnet: Refined Intima-media segmentation of the carotid artery based on a multi-scale approach using patch-wise dice loss
Published 2025“…Firstly, the segmentation model is based on an enhanced Unet using multi-scale squeeze and excite operations. …”
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Advancing explainable AI in healthcare: Necessity, progress, and future directions
Published 2025“…Over the years, various methods for liver image segmentation have emerged, with machine learning and computer vision techniques gaining rapid popularity due to their automation, suitability, and impressive results. …”
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Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Published 2025“…Finally, we discuss novel techniques for fossil data augmentation and fossil image enhancements, which can be combined with advanced neural network architectures, such as diffusion models, generative hybrid networks, transformers, and graph neural networks, to improve body fossil image analysis.…”
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Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection
Published 2023“…Moreover, we used preprocessing techniques before the classification task for underwater image enhancement, segmentation, noise and fog removal, restoration, and color constancy.…”
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Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review
Published 2022“…</p><h3>Results</h3><p dir="ltr">This review included 57 full-text studies that reported the use of GANs for different applications in COVID-19 lung imaging data. Most of the studies (n=42, 74%) used GANs for data augmentation to enhance the performance of AI techniques for COVID-19 diagnosis. …”
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Deep learning-based beat-to-beat arterial blood pressure estimation using distant radar signals
Published 2025“…The proposed MultiResLinkNet excelled in ABP segmentation, outperforming state-of-the-art networks in combined and individual scenarios, and produced the best average temporal and spectral correlations as well as the lowest temporal and spectral errors in nearly all scenarios’ data. …”
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Blue collar laborers’ travel pattern recognition: Machine learning classifier approach
Published 2021“…<p dir="ltr">This paper proposes a pattern recognition model to develop clusters of homogenous activities for blue-collar workers in the State of Qatar. The activity-based data from the travel diary of 1051 blue-collar workers collected by the Ministry of Transportation and Communication (MoTC) in Qatar was used for analysis. …”
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Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures
Published 2024“…<p dir="ltr">In today’s era of increasing data complexity and pervasive noise, robust techniques for data processing, reconstruction, and denoising are crucial. …”
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Hybrid Classification Approach Utilizing DenseUNet+ for Diabetic Macular Edema Disorder Detection
Published 2024“…Leveraging advancements in computer-assisted diagnostics, this study proposes a novel approach utilizing the DenseUNet+ architecture tailored for precise segmentation across diverse image modalities. The proposed method integrates data from four modalities within dense block structures, followed by linear operations and concatenation to enhance feature representation. …”
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Factors affecting buying decisions of Islamic banking products: the moderating role of religious belief
Published 2023“…Data analysis of direct and moderating relationships are done through Smart PLS (partial least squares) using structural equation modelling (SEM) technique. …”
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An approach to offline Arabic character recognition using neural networks
Published 2003“…Character recognition system can contribute tremendously towards the advancement of automation process and can be useful in many other applications such as Data Entry, Check Verification etc. This paper presents a technique for the automatic recognition of Arabic Characters. …”
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Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images
Published 2022“…Over the decade, numerous artificial neural network (ANN)-based techniques were adopted in order to diagnose and classify breast cancer due to the unique characteristics of learning key features from complex data via a training process. …”
