True positive rate (TPR) analysis of DDcGAN-GSOM with existing techniques. by Nanavath Kiran Singh Nayak (22184565)

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Flow diagram for the proposed methodology. by Nanavath Kiran Singh Nayak (22184565)

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Specificity comparison of DDcGAN-GSOM with prevailing methods. by Nanavath Kiran Singh Nayak (22184565)

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Discriminator loss of suggested technique. by Nanavath Kiran Singh Nayak (22184565)

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Comprehensive comparison of state-of-the-art approaches. by Nanavath Kiran Singh Nayak (22184565)

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Energy consumption analysis of DDcGAN-GSOM with existing methods. by Nanavath Kiran Singh Nayak (22184565)

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Analysis of DDcGAN-GSOM delay with existing techniques. by Nanavath Kiran Singh Nayak (22184565)

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Comparative analysis of DDcGAN-GSOM’s Energy Consumption, Throughput, and Dealy. by Nanavath Kiran Singh Nayak (22184565)

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System model of the proposed method. by Nanavath Kiran Singh Nayak (22184565)

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Sample data of K-means clustering. by Yixuan Lu (9987980)

Data_Sheet_1_Hap-E Search 2.0: Improving the Performance of a Probabilistic Donor-Recipient Matching Algorithm Based on Haplotype Frequencies.PDF by Christine Urban (8460525)

Processing of Published Data and Construction of the Core UVmap Reference by David Adams (10283936)

“…<p dir="ltr">Processing of Published Data and Construction of the Core UVmap Reference In developing the core UVmap, we utilized the GBmap pipeline approach from Ruiz-Moreno et al.1 collecting data from 264,624 cells from 26 tumors and 29 normal tissues. …”

Raw and processed (filtered and annotated) scRNAseq data by Giovanna Fiore (18325824)

“…<p dir="ltr">Single cell RNA-seq data generated and reported as part of the manuscript entitled "<b>Human CD34</b>⁺<b>-derived plasmacytoid dendritic cells as surrogates for primary pDCs and potential cancer immunotherapy</b>" by Fiore et al.…”

Dendrogram of the stock prices. by Muhammad Hilal Alkhudaydi (21560690)

“…<div><p>Many investors and financial managers view portfolio optimisation as a critical step in the management and selection processes. This is due to the fact that a portfolio fundamentally comprises a collection of uncertain securities, such as equities. …”

Descriptive statistics on stock prices. by Muhammad Hilal Alkhudaydi (21560690)

“…<div><p>Many investors and financial managers view portfolio optimisation as a critical step in the management and selection processes. This is due to the fact that a portfolio fundamentally comprises a collection of uncertain securities, such as equities. …”

Correlation heatmap of the principal components. by Muhammad Hilal Alkhudaydi (21560690)

“…<div><p>Many investors and financial managers view portfolio optimisation as a critical step in the management and selection processes. This is due to the fact that a portfolio fundamentally comprises a collection of uncertain securities, such as equities. …”

Fig 2 - by Seyed Mahdi Hosseiniyan Khatibi (16791475)

iGlu_AdaBoost: Identification of Lysine Glutarylation Using the AdaBoost Classifier by Lijun Dou (9554059)

“…Lysine glutarylation is a newly reported post-translational modification (PTM) that plays significant roles in regulating metabolic and mitochondrial processes. Accurate identification of protein glutarylation is the primary task to better investigate molecular functions and various applications. …”

BenchmarkDataNLP.jl.zip by Alexander V. Mantzaris (21376517)

“…<pre><br>BenchmarkDataNLP.jl is a Julia project (can be easily used from other languages by calling Julia) that generates synthetic text datasets for natural language processing (NLP) experimentation (characters selected from the Korean Language Unicode block, Hangul). …”

Data_Sheet_1_Automated assessment of balance: A neural network approach based on large-scale balance function data.pdf by Jingsong Wu (4036910)