Spatial power spectrum of compact sound source. by Chuanxi Xing (20141665)

“…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …”

Feature extraction model training process. by Fengning Liang (20927493)

Kepler optimization algorithm. by Jiangli Yu (4601986)

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Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms by Jie Zhu (126574)

Image Clarity Processing Flow. by Cheng-jie Chen (22272090)

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Block diagram of the Kalman filter algorithm with correlated measurement noise. by Shu WU (20721527)

Block diagram of the Kalman filter algorithm with uncorrelated measurement noise. by Shu WU (20721527)

The accuracy of different algorithms for TMD on SHL and HTC datasets. by Rui Li (4631)

Precision Recall data. by Lai Yingdong (22403854)

“…</p><p>Methodology</p><p>YOLOv8 is employed for its real-time processing capabilities and high precision, making it suitable for identifying and tracking construction elements in images and videos captured on-site. This study creates a comprehensive dataset of construction images and videos to assess and validate the proposed method with meticulous labeling of relevant objects.…”

t-SNE plot of processed test data cells. by Oriana Presacan (22232246)

Dispersion signal in principal and residual space in PCA and KPCA algorithm. by Emmanuel Ndongue Esseme (22615091)

Analysis process. by Jie Chu (293795)

Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

ClaritySpectra: Raman spectra analysis tool by Aaron Celestian (9395696)

“…</li></ul><h3>PEAK FITTING </h3><ul><li>Automated background subtraction using asymmetric least squares fitting</li><li>A new suggested background feature that lets you preview the background that you like best</li><li>Interactive background fitting lets you further tune the background to perfection</li><li>Four choice of peaks: Gaussian, Lorentzian, Pseudo-Voigt, and the new Asymmetric Voigt functions</li><li>Overlapping view of how well the peaks fit with quality metrics</li><li>No need to define regions, the algorithm is smart enough to what a peak looks like.…”

Algorithm flowchart. by Mingyi Huo (21743594)

antspymm helper data by Brian Avants (418551)

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Database after processed itemset <i>XEDC</i>. by Loan T. T. Nguyen (20660789)

Database after processed itemset <i>XEDC</i>. by Loan T. T. Nguyen (20660789)

Maintaining multiple hypotheses in the solution set. by Tarun Khajuria (12117309)

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Classifying objects in constellation images. by Tarun Khajuria (12117309)

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