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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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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Computational Fluid Dynamics Simulation of Gas–Solid Hydrodynamics in a Bubbling Fluidized-Bed Reactor: Effects of Air Distributor, Viscous and Drag Models by Ramin Khezri (12506474)

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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. …”