Beyond genetics: Exploring the role of epigenetic alterations in breast cancer by Kirti S. Prabhu (4246144)

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MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography by Mohammed Yaqoob (344668)

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A hybrid 3D CNN-LSTM model with soft spatial attention mechanism for accurate hyperspectral image classification by Mohamed Sultan Mohamed Ali (17317003)

“…The proposed model addresses the challenges of spectral feature extraction and enhances classification accuracy by leveraging advanced deep learning techniques. …”

Plant disease management: a fine-tuned enhanced CNN approach with mobile app integration for early detection and classification by Mudassir Iftikhar (21323900)

Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification by Rajendra Babu Chikkala (22330876)

“…Our model achieved an average classification accuracy of 97.25 percent, exceeding current leading techniques. …”

Crystal structure of a new polymorphic modification of Na₂Mn₃(SO₄)₄ by Hamdi Ben Yahia (14579467)

Le dit et le non-dit dans le texte traduit, exemple la traduction erronée du roman de Miche Butor « La modification by Subhi, Hana

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Robust Polynomial Classifier Using L1-norm minimization by Assaleh, Khaled

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Findings and perspectives of β-Ti alloys with biomedical applications: Exploring beyond biomechanical and biofunctional behaviour by Elhadad, Amir A.

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Physical and chemical properties of black carbon and organic matter from different combustion and photochemical sources using aerodynamic aerosol classification by Dawei Hu (2186113)

“…This suggests that the effect moisture has on the organic chemical profile of wood burning emissions is through changing the durations of the different phases of the burn cycle, not through the chemical modification of the individual phases. In this study, the incandescence signal of a Single Particle Soot Photometer (SP2) was calibrated with three different types of BC particles and compared with that from an Aquadag standard that is commonly used to calibrate SP2 incandescence to a BC mass. …”

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

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Genetic Fuzzy System Frameworks for Transparent Multivariate Time Series Prediction and Classification with Focused Case Study on Multiple Sclerosis Disease by unknown

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A novel method for the detection and classification of multiple diseases using transfer learning-based deep learning techniques with improved performance by Krishnamoorthy Natarajan (22047464)

InShaDe: Invariant Shape Descriptors for visual 2D and 3D cellular and nuclear shape analysis and classification by Khaled Al-Thelaya (17302711)

“…We demonstrate the capabilities of our framework in the context of visual analysis and unsupervised classification of 2D histology images and 3D nuclear envelopes extracted from serial section electron microscopy stacks.…”

Automated detection of posterior urethral valves in voiding cystourethrography images: A novel AI-Based pipeline for enhanced diagnosis and classification by Saidul Kabir (15302407)

“…</p><h3>Results</h3><p dir="ltr">An overall classification accuracy of 81.52 % was achieved between PUV and non PUV cases. …”

Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions by Durjay Saha (21633095)

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DeepRaman: Implementing surface-enhanced Raman scattering together with cutting-edge machine learning for the differentiation and classification of bacterial endotoxins by Samir Brahim, Belhaouari

“…This provides exact endotoxin classification and has tremendous potential for accelerated medical diagnostics and treatment decision-making in cases of pathogenic infections. …”
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A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48 by Al-Manaseer, Hitham

“…This was done by studying the performance of three well-known classification algorithms Random Forest Classifier (RFC), Support Vector Machine (SVM), and Decision Tree-J48 (J48), to predict the probability of heart attack. …”
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Les enjeux de la traduction du français vers l’arabe : le cas du pronom personnel “vous” dans La Modification de Michel Buto by Subhi, Hana

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Critical Appraisal of the Clinical Practice Guidelines for the Management of Dyslipidaemias: Lipid Modification to Reduce Cardiovascular Risk: European Society of Cardiology (ESC) and European Atherosclerosis Society (ESC/EAS) 2019 Guidelines by Eman N Alhmoud (20352048)

“…</p><h3>Method</h3><p dir="ltr">The 2019 European Society of Cardiology and European Atherosclerosis Society Guidelines for the management of dyslipidaemias: lipid modification to reduce cardiovascular risk was appraised and scored for methodological rigour and transparency by 5 independent appraisers using a validated tool.…”