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

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Transfer Learning-Based Semi-Supervised Generative Adversarial Network for Malaria Classification by Ibrar Amin (19438018)

“…Performance of the proposed model is evaluated on a publicly available dataset of blood smear images (with malaria-infected and normal class) and achieved a classification accuracy of 96.6%.</p><h2>Other Information</h2><p dir="ltr">Published in: Computers, Materials & Continua<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.32604/cmc.2023.033860" target="_blank">https://dx.doi.org/10.32604/cmc.2023.033860</a></p>…”

Plant Species Classification and Diversity of the Understory Vegetation in Oak Forests of Swat, Pakistan by Ataur Rahman (11044485)

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TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

“…In this paper, we propose two models for intrusion detection and classification scheme Trust-based Intrusion Detection and Classification System (TIDCS) and Trust-based Intrusion Detection and Classification System- Accelerated (TIDCS-A) for secure network. …”

A Reliable and Robust Deep Learning Model for Effective Recyclable Waste Classification by Md. Mosarrof Hossen (21401603)

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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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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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