Target Detection Using Learning Methods حسب Sahnoon, Mohammad Moufeed

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Novel algorithms for accurate DNA base-calling حسب Mohammed, Omniyah Gul

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L₂min^2/2s: Efficient Linear Reconstruction Filter for Incremental Delta-Sigma ADCs حسب Bo Wang (86769)

Anomaly Detection Based Framework for Profile Monitoring حسب Al-Rahim, Nour Al-Huda Z. Al-Abed

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Data redundancy management for leaf-edges in connected environments حسب Mansour, Elio

"…Although the sensed data could be useful for various applications (e.g., event detection in cities, energy management in commercial buildings), it first requires pre-processing to clean various inconsistencies (e.g., anomalies, redundancies, missing values). …"
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Deepfakes Signatures Detection in the Handcrafted Features Space حسب Hamadene, Assia

"…In the Handwritten Signature Verification (HSV) literature, several synthetic databases have been developed for data-augmentation purposes, where new specimens and new identities were generated using bio-inspired algorithms, neuromotor synthesizers, Generative Adversarial Networks (GANs) as well as several deep learning methods. …"
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Block constrained pressure residual preconditioning for two-phase flow in porous media by mixed hybrid finite elements حسب Stefano Nardean (14151900)

"…<p dir="ltr">This work proposes an original preconditioner that couples the Constrained Pressure Residual (CPR) method with block preconditioning for the efficient solution of the linearized systems of equations arising from fully implicit multiphase flow models. …"

Capturing outline of fonts using genetic algorithm and splines حسب Sarfraz, M.

"…We present a method to convert the original problem into a discrete combinatorial optimization problem and solve it by a genetic algorithm. We also incorporate a corner detection algorithm to detect significant points which are necessary to capture a pleasant looking spline fitting for shapes such as fonts. …"
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Fetal ECG Signal Enhancement حسب Ahmadi, Maryam

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GenDE: A CRF-Based Data Extractor حسب Kayed, Mohammed

"…Web site schema detection and data extraction from the Deep Web have been studied a lot. …"
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Intelligent Rapidly-Exploring Random Tree Star Algorithm حسب Ahmed, Khidir Galal Eldin Khidir

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Application of Data Mining to Predict and Diagnose Diabetic Retinopathy حسب Haniyeh, Maryam

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Using machine learning for disease detection. (c2013) حسب Jreij, Georges Antoun

"…Classification has three main components: the classification algorithm, the pre-classified data (training data) and the un-classified data (testing data). …"
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Plant disease detection using drones in precision agriculture حسب Ruben Chin (17725986)

"…Color-infrared (CIR) images are the most preferred data used and field images are the main focus. The machine learning algorithm applied most is convolutional neural network (CNN). …"

A Novel Fault Diagnosis of Uncertain Systems Based on Interval Gaussian Process Regression: Application to Wind Energy Conversion Systems حسب Majdi Mansouri (16869885)

Artificial Intelligence for Skin Cancer Detection: Scoping Review حسب Abdulrahman Takiddin (14153181)

"…Overall, studies that used smaller data sets reported higher accuracy.</p><h3>Conclusions</h3><p dir="ltr">This paper examined multiple AI-based skin cancer detection models. …"

Cyberbullying Detection in Arabic Text using Deep Learning حسب ALBAYARI, REEM RAMADAN SA’ID

"…Therefore, this study aims to evaluate several versions of Recurrent Neural Networks (RNNs) and Feedforward Neural Networks (FNNs) for detecting cyberbullying in the Arabic language. Although these algorithms are widely used in text classification and outperform the performance of classical classifiers, many have been extensively investigated in other domains such as sentiment analysis and dialect identification, as well as cyberbullying detection in English text. …"
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Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems حسب Ahmad K. Sleiti (14778229)

"…Furthermore, this paper demonstrates the advantages of the developed ADL algorithm approach and DSM prediction of the DT using vector autoregressive model for anomaly detection in utility gas turbines with data from an operational power plant.…"

Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …"
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Cyberbullying Detection Model for Arabic Text Using Deep Learning حسب Albayari, Reem

"…Data-driven approaches, such as machine learning (ML), par ticularly deep learning (DL), have shown promising results. …"
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