Size of the smallest cluster. by Teemu J. Rintala (19333003)

Cancer subtype agreement. by Teemu J. Rintala (19333003)

Cancer subtype agreement for all numbers of clusters. by Teemu J. Rintala (19333003)

Stability of cancer clustering results with different pathway sets. by Teemu J. Rintala (19333003)

Stability of cancer clustering results with different feature filters. by Teemu J. Rintala (19333003)

Cancer subtype agreement with different pathway sets. by Teemu J. Rintala (19333003)

Characterization of anesthetic effects on network dynamics and their simulated ACh reversal for best fit. by Bolaji P. Eniwaye (12915339)

DataSheet1_Equivalent of distribution network with distributed photovoltaics for electromechanical transient study based on user-defined modeling.ZIP by Zhe Jiang (6903)

“…Finally, the particle swarm optimization (PSO) algorithm is used to obtain the parameters of the equivalent PV. …”

DataSheet1_Equivalent of distribution network with distributed photovoltaics for electromechanical transient study based on user-defined modeling.ZIP by Zhe Jiang (6903)

“…Finally, the particle swarm optimization (PSO) algorithm is used to obtain the parameters of the equivalent PV. …”

Confusion matrix. by Yixian Wen (12201388)

“…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …”

Parameter settings. by Yixian Wen (12201388)

“…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …”

Dynamic resource allocation process. by Yixian Wen (12201388)

“…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …”

Thesis-RAMIS-Figs_Slides by Felipe Santibañez-Leal (10967991)

“…In this direction, the option of estimating the statistics of the model directly from the training image (performing a refined pattern search instead of simulating data) is a very promising.<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”

MOA classification performance and model benchmarking. by Josh L. Espinoza (10492448)

“…B) The influence of the <i>Clairvoyance</i> optimization algorithm for feature selection on model performance at each of the 5 sub-model decision points. …”

Results for the Pattern Generation task. by Paolo Muratore (8331585)

Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png by Minjin Guo (22751300)

“…RSEE projects heterogeneous input data into an exertion-conditioned latent space, aligning model predictions with observed physiological variance and mitigating false positives by explicitly modeling the overlap between athletic remodeling and subclinical pathology.…”

Probability flux balances can determine biochemical rates regardless of global network dynamics. by Timon Wittenstein (12908474)

“…Although probability distributions differed greatly between the four systems, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010183#pcbi.1010183.e006" target="_blank">Eq (4)</a> could identify the functional dependence of the production rate of X₃ based on the numerical convex optimization algorithm detailed in the Materials & Methods. …”

S1 Fig - by Aniket Ravan (3174171)

Flowchart of software workflow. by Gavrielle R. Untracht (11820311)

Breast cancer specific subnetwork. by Bengi Ruken Yavuz (21983004)