Hyperspectral Camouflage Detection Dataset and Codes by Qiran Wang (22051883)

“…This study proposes a non-destructive classification framework integrating optimized sample partitioning, spectral preprocessing, and residual deep learning to address this challenge. Hyperspectral data of camouflage fabrics and natural grass (389.06–1005.10 nm) were acquired and preprocessed using principal component analysis, standard normal variate transformation, Savitzky–Golay filtering, and derivative-based enhancement. …”

List of the time used by each algorithm. by JiaMing Gong (20427837)

“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”

Data Sheet 1_A combined model of shoot phosphorus uptake based on sparse data and active learning algorithm.pdf by Tianli Wang (1438498)

Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms by Kelechi Amamba (21022064)

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Results obtained from the supervised machine learning regression-based algorithms in the present work. by Akshansh Mishra (21001499)

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Diabetes prediction using optimized machine learning algorithms with grid search and Bayesian optimization. by Muhammad Rizwan Khurshid (20613973)

PFC value of algorithms on two datasets. by Xing Chen (140292)

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Data_Sheet_1_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.CSV by Jie Shen (31533)

Data_Sheet_2_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.docx by Jie Shen (31533)

Classification model performance on cross-validation for selected learning algorithms. by Daniel He (3477920)

Global Aridity Index and Potential Evapotranspiration Climate Database v3.1 - Algorithm Code (Python) by Robert Zomer (12796235)

data and code by PENGCHENG LIU (20680641)

Code and data for "A reduced-scale adaptive morphing vehicle prototype with enhanced aerodynamic efficiency" by Peng Zhang (16789041)

“…<p dir="ltr">This dataset contains:</p><ul><li>CAD files for the design and fabrication of the proposed adaptive morphing vehicle prototype;</li><li>Computer programs for genetic-algorithm-based autonomous optimization;</li><li>Raw data acquired in the wind tunnel experiments for demonstrating and validating the morphing vehicle prototype and optimization algorithm; and</li><li>Computer codes for post-processing and visualizing raw data.…”

code_4 by Olga Ovtsarenko (20432033)

Comparison between three machine learning models mean accuracy score among several Raman preprocessing algorithms. by Tri Ngo Quang (20390189)

Overview of the C&CG method. by Tianhe Sun (21145341)

“…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …”

Data Sheet 1_Algorithms on the rise: a machine learning–driven survey of prostate cancer literature.docx by Simin Gu (16475498)

“…Emerging frontiers included deep learning, radiomics, and multimodal data fusion. China (649 publications) and the United States (492 publications) led in research volume, while Germany demonstrated the highest proportion of multinational collaboration (39.29%). …”

Performance comparison of federated learning algorithms for nucleus segmentation with INT8 quantized models. by Anjir Ahmed Chowdhury (21696531)

Control Parameters of IRSA Algorithm. by Wan-Hua Zhang (21601139)

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Confusion matrix for RUSBoost algorithm (3000 Learning Cycles) highlights the classification accuracy across different classes. by Sadia Nazim (21440115)