A closed-loop, music-based brain-computer interface for emotion mediation - Fig 4 حسب Stefan K. Ehrlich (6475490)

الموضوعات:

Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer. حسب Luca Musella (19986312)

In this example the MPC algorithm perfectly tracks the noisy signal , which results in many false spikes. حسب Nicholas A. Rondoni (21573261)

الموضوعات:

IbM code graphical description حسب Irina Ofiteru (14716360)

We recorded the distribution function of the one-step prediction time for CLPREM and its comparative models, as well as a curve graph showing the multiple of the comparative model’... حسب Xiaorui Wu (8322705)

Senescence/Aging-related pathways for GSVA analysis. حسب Xihao Shen (20347942)

الموضوعات:

Mean and Std of overall function (OF) related to best point so far (smaller SNR) obtained by sequential expected improvement over 10 different repetition of proposed algorithm for <i>θ</i> = 0.25, <i>θ</i> = 0.5 and <i>θ</i> = 0.75. حسب Amir Parnianifard (5355452)

Functions used to convert transcript expression values into transcript activity scores, assuming <i>x</i> as a vector of expression levels for each transcript. حسب Vítor Vieira (12937218)

Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

"…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"

Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

"…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"

Fitness function over the 50 runs. حسب Mohammed Alqahtani (2049139)

"…Results reveal that ZOA outperformed other algorithms, supplying electricity at a minimum cost of 0.1285 $/kWh in one configuration, with the LFP battery achieving the lowest NPC of 3.8 M$ in case studies with constrained LPSP. …"

The MATLAB code we used to run the standard community-detection algorithm [14, 21] to quantify phase modularity (at each time point per frequency per condition per participant) as... حسب Melisa Menceloglu (7610213)

الموضوعات:

Out-of-sample accuracy vs. weighted <i>F</i>-score (comparison to ground-truth) for various clustering algorithms. حسب James Anibal (13899712)

On the improvement of reinforcement active learning with the involvement of cross entropy to address one-shot learning problem حسب Honglan Huang (341951)

"…Instead of manually developing strategies of querying the user to access labels for the desired examples, we utilized the reinforcement learning algorithm parameterized with the neural network to automatically explore query strategies in active learning when addressing stream-based one-shot classification problems. …"

S1 Dataset - حسب Peihan Wen (6324315)

الموضوعات:

Construction of weighted co-expression network related datasets and identification of related key modules. حسب Wenlong Kuang (20485167)

الموضوعات:

System pharmacology-based determination of the functional components and mechanisms in chronic heart failure treatment: an example of Zhenwu decoction حسب Yisheng Huang (152457)

"…Subsequently, a pioneering method for evaluating node significance was formulated, culminating in the creation of core functional association space (CFAS). To discern vital components, a novel dynamic programming algorithm was devised and used to determine the core component group (CCG) within the CFAS. …"

Similarity between the allegiance matrices of the multiplex SC-FC graph, the FC graph alone, and the SC graph alone, as a function of the topological scale for the group. حسب Arian Ashourvan (6685232)

Pathway activity and single-cell level functional states of CEDGs in cancer. حسب Yuxi Gu (11386081)

Algorithm for generating virtual patients. حسب Adrianne L. Jenner (11133854)

"…<b>2)</b> The model evaluated is then simulated on this parameter set to obtain <i>y</i>(<i>t</i>, <i>p</i>). <b>3)</b> A simulated annealing algorithm is then used to determine a parameter set that optimises the objective function <i>J</i>(<i>p</i>) (<a href="http://www.plospathogens.org/article/info:doi/10.1371/journal.ppat.1009753#ppat.1009753.e059" target="_blank">Eq 17</a>). …"