EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach حسب Sriman Bidhan Baray (15302398)

"…<p dir="ltr">Electrooculography, also known as EOG, is a technique that is used to calculate the corneo-retinal standing potential, which is located between the cornea and the retina of the human eye. …"

Exploring Effects of Mental Stress with Data Augmentation and Classification Using fNIRS حسب Khan, Malik Nasir Afzal

"…For a comprehensive evaluation, the acquired fNIRS data are classified using a variety of machine-learning approaches. Linear discriminant analysis (LDA) showed a maximum accuracy of 60%, whereas non-augmented data classified by a convolutional neural network (CNN) provided the highest classification accuracy of 73%. …"
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Predictive Model of Psychoactive Drugs Consumption using Classification Machine Learning Algorithms حسب Almahmood, Mothanna

"…Our study aimed to use data mining classification techniques, in order to classify the individual into two categories: user or non-user. …"
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Robust Polynomial Classifier Using L1-norm minimization حسب Assaleh, Khaled

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

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

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

"…A smaller dataset of 300 images is separately used for testing purposes. Statistical parameters such as accuracy, precision, recall, and F1-score are computed for each CNN model. …"

COVID-19 Tweets Classification during Lockdown Period Using Machine Learning Classifiers حسب 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 حسب M.S. Nashed (16392961)

Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System حسب Fahmida Haque (16896489)

"…Hence, to successfully mitigate the prevalence of DSPN, this study aims to depict an intelligent DSPN severity classifier using Adaptive Neuro Fuzzy Inference System (ANFIS). …"

The automation of the development of classification models and improvement of model quality using feature engineering techniques حسب Sjoerd Boeschoten (17347045)

"…The framework allows practitioners and researchers to automatically generate different classification models. This research used High-Resolution Orbitrap-based Mass Spectrometers (HRMS) data to create automated prediction models for the first time in literature. …"

Classification of Common Partial Discharge Types in Oil-Paper Insulation Using Acoustic Signals حسب Harbaji, Mustafa

"…A Master of Science thesis in Electrical Engineering by Mustafa Harbaji entitled, "Classification of Common Partial Discharge Types in Oil-Paper Insulation Using Acoustic Signals," submitted in February 2014. …"
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Feature modeling using polynomial classifiers and stepwise regression حسب Shanableh, Tamer

"…In this paper we propose to reduce the dimensionality of the expanded vector through the use of stepwise regression. We compare our work to the reduced-model multinomial networks where the dimensionality of the expanded feature vectors grows linearly whilst preserving the classification ability. …"
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An IoT System Using Deep Learning to Classify Camera Trap Images on the Edge حسب Zaulkernan, Imran

"…This paper proposes an IoT architecture that uses deep learning on edge devices to convey animal classification results to a mobile app using the LoRaWAN low-power, wide-area network. …"
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Binary Classification of 3D Small-Scale Medical Images Using Video Vision Transformers حسب Abi Younes, Simon

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Dual-stage segmentation and classification framework for skin lesion analysis using deep neural network حسب Khadija Manzoor (22565369)

"…</p><h3>Methods</h3><p dir="ltr">We propose a two-phase framework: (i) Precise instance segmentation using U-Net with a Visual Geometry Group (VGG16 encoder) to isolate skin lesions and (ii) classification using EfficientFormer and SwiftFormer networks to evaluate performance on both balanced and imbalanced datasets. …"

Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models حسب Meena Malik (17542089)

"…The architecture used for classification was EfficientNet-B0. These are compound-scaling based models proposed by Google that are pretrained on ImageNet and have an accuracy of 74% to 84% in top-1 over ImageNet. …"

An Optimized Feature Selection Technique in Diversified Natural Scene Text for Classification Using Genetic Algorithm حسب Ghulam Jillani Ansari (16896342)

"…The Support Vector Machine (SVM) algorithm is used for classification and the average F-Score is used as fitness function and target condition. …"

Addressing Binary Classification over Class Imbalanced Clinical Datasets Using Computationally Intelligent Techniques حسب Vinod Kumar (48743)

Hybrid model for precise hepatitis-C classification using improved random forest and SVM method حسب Umesh Kumar Lilhore (17727684)