Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…Our method supports multiple spikes per neuron and introduces a delay learning algorithm that can, in contrast to previous methods, also be applied to recurrent Spiking Neural Networks. …”

The performance of the SRMIL and SMRIL algorithms compared to MRMIL, RMIL, and CG_Descent algorithms on the Problems 5.1 to 5.6. by Sulaiman M. Ibrahim (20614376)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

Detailed procedure of the adaptive denoising algorithm for space-based gravitational wave signals based on multi-scale decomposition. by Qiuping Shen (2562166)

Data and code resources. by Sam Hall-McMaster (10343795)

Research data for paper "Loss shaping enhances exact gradient learning with Eventprop in Spiking Neural Networks" by Thomas Nowotny (4462033)

“…<p dir="ltr">The data in this repository was generated in the context of training spiking neural networks for keyword recognition using the Eventprop algorithm. …”

Compensation in LASSO-based estimation in presence of inter-feature correlation. by Evan Gorstein (20553314)

Accuracy and average dots covered for difficulty level 11 using gradient descent to find the optimal solution. by Tarun Khajuria (12117309)

The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

Subjects:

Schematic of the principle of laser heterodyne interferometry for space-based gravitational wave detection. by Qiuping Shen (2562166)

The genome coding scheme. by Wenbing Shi (5806160)

Subjects:

Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. by Martina Bukač (20161460)

The optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. by Dinh K. Tang (20469082)

Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

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Convergence speed of the improved algorithm. by Qiuping Shen (2562166)

“…<div><p>During the process of detecting gravitational waves in space, addressing noise issues caused by terrestrial vibrations, natural environmental changes, and the factors intrinsic to the detectors, this paper proposes a multiscale variational mode adaptive denoising algorithm based on momentum gradient descent. This algorithm integrates momentum factors and multiscale concepts into the variational mode algorithm to resolve the issue of multiple local optima encountered during operation, reduce oscillations in regions with large or unstable gradient changes, and improve convergence speed. …”

Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" by Yize Wang (19535173)

“…<p dir="ltr">Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>"</p>…”

code_4 by Olga Ovtsarenko (20432033)

The genetic algorithm. by Viktoria Zemliak (19500335)

Risk element category diagram. by Yao Hu (3479972)