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

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Anti-Bacterial and Anti-Fungal Activity of Xanthones Obtained via Semi-Synthetic Modification of α-Mangostin from Garcinia mangostana by Narasimhan, Srinivasan

Subjects: “…Semi-synthetic modification…”
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Evaluating the Effectiveness of a Behavioural Training Programme for Primary School Teachers in Al Dhafra Private Schools to Modify the Behaviour of Students With ASD by SHARAFEDDIN, ETAB

Subjects: “…Autism Spectrum Disorder, behavioural modification, primary school teachers, inclusive education, student behaviour…”
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Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System by Fahmida Haque (16896489)

“…Michigan Neuropathy Screening Instrumentation (MNSI) was considered as the input for identification and stratification of DSPN. Patients have been classified into four classes: Absent, Mild, Moderate, and Severe. …”

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. …”

A novel multi-scale violence and public gathering dataset for crowd behavior classification by Almiqdad Elzein (13141038)