BOFdat Step 3: Identifying species-specific metabolic end goals. by Jean-Christophe Lachance (6619307)

“…(C) Schematic representation of the implementation of the genetic algorithm (GA) using the metabolic network presented in B. …”

(a): These systems were simulated for (0,3] and (0,3] without the prior knowledge about different phases, and the probability density function of points in feature space illustrate... by Ali Talebi (7164203)

“…<p>The points stretch from the dense region corresponding to the spin glass phase (left top) to the dense region corresponding to the ferromagnetic phase (right bottom), representing the mixed phase region. (b): The dense areas are separated by removing the data less than threshold = 0.5 in the probability density function. …”

Estimated HR trace comparison for two subjects of the ISPC dataset, obtained by DFDF (with MA cancellation only), FSM-DFDF (with MA cancellation and FSM framework), and FSM-SGPS (t... by Heewon Chung (2881286)

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The resultant loss curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

The resultant accuracy curves while using the hinge loss function for the best model. by Abdullah Almansour (6273935)

Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. by Hiroyuki Ichijo (13891153)

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(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). by Yu Liu (6938)

“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”

The optimal contact/quarantine rates from the family of functions (4) and (5) for Xi’an, Guangzhou and Yangzhou. by Mengqi He (5753525)

“…(b, e, h) Root mean square error(), corresponding to fitting the time-dependent quarantine rate learned by TDINN algorithm using <i>q</i>₁(<i>t</i>), <i>q</i>₂(<i>t</i>) and <i>q</i>₃(<i>t</i>) in Xi’an, Guangzhou and Yangzhou. …”

<b>FCG-MFD: Benchmark Function Call Graph-Based Dataset for Malware Family Detection</b> by Hassan jalil hadi (18243805)

“…Our approach to extracting semantic features via the Natural Language Processing (NLP) method is inspired by tasks involving sentences and words, respectively, for functions and instructions. We leverage a node2vec mechanism-based graph embedding network to generate malware embedding vectors. …”

Unsupervised Machine Learning Organization of the Functional Dark Proteome of Gram-Negative “Superbugs”: Six Protein Clusters Amenable for Distinct Scientific Applications by Carlos Sicilia (14228509)

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Results from the performance-based assessments of hand function for PALS and the age/sex matched healthy subgroup. by Conor D. Hayden (20855587)

Illustration of the function of movement definition in NeuroMotion. by Shihan Ma (9362796)

HIL test results of curved road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

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Filled contour plot based on histograms of the occurence-frequency of binned values of and as a function of . by Paul Kinsler (3975620)

IbM code graphical description by Irina Ofiteru (14716360)

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)

The processing results of different denoising algorithms on waterfall images: (a) is the original image, (b) [22], (c) [21], (d) [23], (e) [24], (f) [25], (g) [7], (h) [ by Wuyi Li (2984439)

Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW sy... by Honglei Pang (22693724)

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Simulation Results Plot of the EMB System Response: (a) Step response curve of the EMB system; (b) Sine response curve of the EMB system; (c) Steady state error curve of the EMB sy... by Honglei Pang (22693724)

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HIL test results of low-adhesion road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

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