Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment by Akhtar, Muhammad Hannan

Subjects: “…On-edge classification…”
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Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS by Khan, Malik Nasir Afzal

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A study on Implementation of classification techniques to predict students’ results for Institutional Analysis by Gorikhan, Naseem Akhtar

Subjects: “…ID3 classification…”
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A systematic review of Arabic text classification: areas, applications, and future directions by Wahdan, Ahlam

Subjects: “…Arabic, Text classification, Natural language processing, Systematic review…”
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NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY by JINESH, PADIKKAPPARAMBIL

Subjects: “…novel stacking classification…”
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Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms by Almahmood, Mothanna

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Application of TiO₂-loaded fly ash-based geopolymer in adsorption of methylene blue from water: Waste-to-value approach by Johaina Alahmad (19205965)

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D-β-Hydroxybutyrate and lactate mediate the positive effects of exercise on chronic stress by changing the histone modification profile in the hippocampus by Saad, Joelle

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PD-L1 Expression in Human Breast Cancer Stem Cells Is Epigenetically Regulated through Posttranslational Histone Modifications by Pramod Darvin (153341)

“…Moreover, an overexpression of histone acetylation enzymes was observed in tumorspheres suggesting the active involvement of histone modifications in EMT-induced PD-L1 expression. In summary, EMT-associated overexpression of PD-L1 was partially independent of promoter CpG methylation and more likely to be dependent on posttranslational histone modifications. …”

Systematic Postsynthetic Modification of Nanoporous Organic Frameworks for Enhanced CO2 Capture from Flue Gas and Landfill Gas by Islamoglu, Timur

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On Classification of Variational Conservation Laws and Solutions of Damped Wave Equations in Certain Riemannian Metrics by unknown

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Secure and Robust Deep Learning Using Homomorphic Encryption and Adversarial Approach for Image Classification by Abbass, Ali

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VLSI Design of LSTM‐Based ECG Classification for Continuous Cardiac Monitoring on Wearable Devices by Nousheen Akhtar (22467193)

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Analysing Satellite Imagery Classification under Spatial Domain Shift across Geographic Regions by Sara A. Al-Emadi (22827935)

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LimitAccess: on-device TinyML based robust speech recognition and age classification by Marina Maayah (17707242)

“…This study employs a lite convolutional neural network (CNN) model for two different reasons: First, CNN showed superior accuracy compared to other audio classification models for age classification problems. …”

Classification of defects in wooden structures using pre-trained models of convolutional neural network by Rana Ehtisham (17820980)

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An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques by Fariha Haque (21485518)

“…<p dir="ltr">In the field of medical imaging, deep learning (DL) techniques have made significant contributions to the detection and classification of various cancers. Identifying the precise regions in medical images containing cancerous cells plays a crucial role in the diagnostic process. …”

COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers by Syed Ali Jafar Zaidi (19505617)

“…Support vector machine (SVM), random forest (RF), decision tree (DT), and k-nearest neighbor (KNN) were used for classification, while AdaBoost and convolutional neural network (CNN) were utilized for future effects. …”

Gas Turbine Failure Classification using Acoustic Emissions with Wavelet Analysis and Deep Learning by M.S. Nashed (16392961)

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Neuro-Fuzzy Random Vector Functional Link Neural Network for Classification and Regression Problems by M. Sajid (3070545)

“…Our research involves experiments on various UCI benchmark datasets, covering binary, multiclass classification, and regression tasks. The statistical tests and comprehensive experimental analyses consistently show that all variations of the proposed NF-RVFL model outperform baseline models, highlighting their generalization capabilities. …”