(a) Comparison between SDNN and Traditional Methods. The horizontal axis represents the prediction horizon, while the vertical axis denotes computation time; red denotes traditiona... by Kai Sun (140584)

Variance of local fields versus mean of local fields for (a) , (b) . by Ali Talebi (7164203)

Strong negative correlation between the precision of algorithms and the evolutionary distance from the training data. by Sven B. Gould (12237287)

Evaluation metrics graphs for different loss functions. by Huiying Zhang (200681)

Comparison of the semantic features of the C2f module and SCF module; (a) Semantic feature map for C2f Module; (b) Semantic feature map of the SCF module. by Yazhou Li (277980)

The results of gene ontology analysis of the hub genes, including (a) biological process, (b) cellular components, (c) molecular functions, and (d) pathway analysis. by Devi Soorya Narayana Sasikumar (22331743)

PATH has state-of-the-art performance versus previous binding affinity prediction algorithms. by Yuxi Long (11024307)

“…<p>^<b>a</b>PATH⁺ shows comparable or better performance with less overfitting, as evidenced by a smaller slope, with much less increase in RMSEs beyond the training dataset, compared to established binding affinity prediction algorithms spanning a variety of methods. …”

Trajectory comparison chart: (A) starting point 1; (B) starting point 2; (C) starting point 3. by Jingnan Yan (20727331)

Line chart plotted using the elbow method: (A) system 1; (B) system 2; (C) system 3. by Jingnan Yan (20727331)

Identification and functional analysis of hub genes. by Wei Ya Lan (22403712)

“…<p>(A) Protein–protein interaction (PPI) network constructed using the STRING database with a confidence score > 0.04. (B) PPI network visualized using Cytoscape software. …”

Distribution of dominant plant functional types (PFTs): CARAIB LIG (A), CARAIB 8700–8200 BP (B); REVEALS mesocratic I (C), REVEALS 8700–8200 BP. by Anastasia Nikulina (22477710)

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

“…</h2><p dir="ltr">Get the latest updates at <a href="https://github.com/aaroncelestian/ClaritySpectra" rel="noreferrer" target="_blank">https://github.com/aaroncelestian/ClaritySpectra </a></p><h3>SEARH-MATCH</h3><ul><li>Robust Search-Match of minerals/plastics, and it has lots of optional filters.</li><li>Four algorithms to choose from: Correlation, Peaks only, Correlation+Peaks, and Machine Learning dynamic time warping for those spectra that don't want to cooperate</li><li>A nice spectral comparison window with database search/add features to overlay spectra</li><li>Difference curve so you can see what fits and what doesn’t</li><li>And a new <b>experimental</b> feature: Predictive chemistry heatmaps based on spectral correlations.…”

Output of the vehicle system for the 47–49 m section: a) speed measurement, b) distance measurement. by Seung-Min Ryu (21463891)

Output of the vehicle system for the 41–43 m section: a) speed measurement, b) distance measurement. by Seung-Min Ryu (21463891)

Trajectory comparison for system 3: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 1: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 2: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Comparison between the non-sensory motor and sensory–motor algorithms. by Hiroyuki Ichijo (13891153)

Output groupings of the 3 algorithms for a linear degradation chain of <i>N</i> = 3 metabolites. by Yuanchen Zhao (12905580)

IbM code graphical description by Irina Ofiteru (14716360)