Detecting latent classes in tourism data through response-based unit segmentation (REBUS) in Pls-Sem حسب Assaker, Guy

"…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 Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model حسب Md. Nazmul Islam Shuzan (16888827)

الموضوعات:

Convergence and steady-state analysis of the normalized least mean fourth algorithm حسب Zerguine, Azzedine

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KNNOR: An oversampling technique for imbalanced datasets حسب Ashhadul Islam (16869981)

"…The proposed technique called K-Nearest Neighbor OveRsampling approach (KNNOR) performs a three step process to identify the critical and safe areas for augmentation and generate synthetic data points of the minority class. …"

Structural similarity evaluation between XML documents and DTDs حسب Tekli, J.

"…In this paper, we propose an algorithm for measuring the structural similarity between an XML document and a Document Type Definition (DTD) considered as the simplest way for specifying structural constraints on XML documents. …"
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Performance evaluation of load balancing algorithms for parallel single-phase iterative PDE solvers حسب Mansour, N.

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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …"

Meta-Heuristic Algorithm-Tuned Neural Network for Breast Cancer Diagnosis Using Ultrasound Images حسب Ahila A (18394806)

"…The automatic segmentation algorithm is adopted to extract the region of interest, and subsequently morphological and texture features are computed. …"

DoFP-ML: A Machine Learning Approach to Food Quality Monitoring Using a DoFP Polarization Image Sensor حسب Maen Takruri (10873368)

A multi-pretraining U-Net architecture for semantic segmentation حسب Cagla Copurkaya (22502042)

"…Particularly, we present a novel non-sequential multi-pretraining U-Net architecture and demonstrate that employing a number of persistent parallel models can boost the effectiveness of the segmentation procedures. The proposed approach makes advantage of data augmentation to generate newly synthesized images, which are subsequently processed using a watershed mask. …"

VEGAWES: variational segmentation on whole exome sequencing for copy number detection حسب Samreen Anjum (19651882)

"…In this work, we developed VEGAWES for accurate and robust detection of copy number variations on WES data. VEGAWES is an extension to a variational based segmentation algorithm, VEGA: Variational estimator for genomic aberrations, which has previously outperformed several algorithms on segmenting array comparative genomic hybridization data. …"

Machine Learning Approach for the Design of an Assessment Outcomes Recommendation System حسب Abu Zitar, Raed

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Left Ventricular Wall Motion Estimation by Active Polynomials for Acute Myocardial Infarction Detection حسب Serkan Kiranyaz (3762058)

A novel XML document structure comparison framework based-on sub-tree commonalities and label semantics حسب Tekli, Joe

"…Various algorithms for comparing hierarchically structured data, XML documents in particular, have been proposed in the literature. …"
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Identifying Regional Trends in Avatar Customization حسب Peter Mawhorter (18602944)

Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches حسب Natasha Akram (20749538)

A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method حسب Shahid Rahman (16904613)

Mapping realistic data sets on parallel computers حسب Mansour, N.

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Using Data Mining in CRM to Understand the Insurance Market حسب Qadadeh, Wafa

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A method for data path synthesis using neural networks حسب Harmanani, H.

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