Comparison of the results obtained for active power losses reduction (Standard IEEE 30-bus test system). by Abdullah Khan (377292)

Construction of kinetic data based on the Arrhenius equation with distributed activation energy. by László Zimányi (2649973)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

Subjects:

Performance of optimization algorithms in six different network types. by Maurits H. W. Oostenbroek (11331123)

Performance of optimization algorithms in an network of education organizations of ± 250 nodes. by Maurits H. W. Oostenbroek (11331123)

Cell fishing: A similarity based approach and machine learning strategy for multiple cell lines-compound sensitivity prediction by E. Tejera (7470644)

“…In the present research, we propose and discuss a straightforward strategy not based on any learning modelling but exclusively relying upon the chemical similarity of a query compound to reference compounds with annotated activity against cell lines. …”

Dose distributions of optimized plans. by Hojin Kim (462672)

Comparison between the performance of the steady-state-based, the conventional LMSE, and the dual optimization approaches in estimating parameters of the TM model. by Alireza Ghadimi (13839874)

Results from trajectory optimization of walking. by Antoine Falisse (6061601)

Optimization framework. by Nisha Ann Viswan (20371285)

Testing algorithm for modified 2-tiered approaches to Lyme disease diagnosis. by Richard Porwancher (11413931)

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

Graphical illustration of sample size estimation for the study protocol. by Müge Yalçin (16486563)

Heatmap of control parameters from CoCaBO. by Xianglong Tan (2818864)

Drawing procedure. by Xianglong Tan (2818864)

<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

“…The sequences can include from a single SNP-allele pair up to a maximum number of pairs defined by the user (<i>l</i>_max). <b>(C)</b> The whole training data is then scanned, searching for these sequences and deriving a re-encoded dataset where interaction terms are binary features (i.e., 1 if sequence <i>i</i> is observed in <i>j</i>-th patient genotype, 0 otherwise). …”

Growth rate comparison between models and experimental results in mono-culture and co-culture. by Elias Vera-Siguenza (16993830)

Decoding results. by Sam Hall-McMaster (10343795)

Comparison of city decoders trained on session one and session two data. by Sam Hall-McMaster (10343795)

Distributions of model parameters mirror differentially expressed ion channel genes. by Daniele Linaro (227790)