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

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

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

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

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

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

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

الموضوعات:

Codes for "<b>A coherent power-load optimization algorithm for wind-farm-level yaw control considering wake effects via deep neural network</b>" حسب 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 حسب Olga Ovtsarenko (20432033)

The genetic algorithm. حسب Viktoria Zemliak (19500335)

BEGAN: Boltzmann-Reweighted Data Augmentation for Enhanced GAN-Based Molecule Design in Insect Pheromone Receptors حسب Jialei Dai (13020462)

"…Specifically, we introduce BEGAN (Boltzmann-enhanced GAN), a novel approach that adjusts molecule occurrence frequencies during training based on the Boltzmann distribution exp­(−Δ<i>U</i>/τ), where Δ<i>U</i> represents the estimated binding free energy derived from docking algorithms and τ is a temperature-related scaling hyperparameter. …"

BEGAN: Boltzmann-Reweighted Data Augmentation for Enhanced GAN-Based Molecule Design in Insect Pheromone Receptors حسب Jialei Dai (13020462)

"…Specifically, we introduce BEGAN (Boltzmann-enhanced GAN), a novel approach that adjusts molecule occurrence frequencies during training based on the Boltzmann distribution exp­(−Δ<i>U</i>/τ), where Δ<i>U</i> represents the estimated binding free energy derived from docking algorithms and τ is a temperature-related scaling hyperparameter. …"

BEGAN: Boltzmann-Reweighted Data Augmentation for Enhanced GAN-Based Molecule Design in Insect Pheromone Receptors حسب Jialei Dai (13020462)

"…Specifically, we introduce BEGAN (Boltzmann-enhanced GAN), a novel approach that adjusts molecule occurrence frequencies during training based on the Boltzmann distribution exp­(−Δ<i>U</i>/τ), where Δ<i>U</i> represents the estimated binding free energy derived from docking algorithms and τ is a temperature-related scaling hyperparameter. …"

BEGAN: Boltzmann-Reweighted Data Augmentation for Enhanced GAN-Based Molecule Design in Insect Pheromone Receptors حسب Jialei Dai (13020462)

"…Specifically, we introduce BEGAN (Boltzmann-enhanced GAN), a novel approach that adjusts molecule occurrence frequencies during training based on the Boltzmann distribution exp­(−Δ<i>U</i>/τ), where Δ<i>U</i> represents the estimated binding free energy derived from docking algorithms and τ is a temperature-related scaling hyperparameter. …"

BEGAN: Boltzmann-Reweighted Data Augmentation for Enhanced GAN-Based Molecule Design in Insect Pheromone Receptors حسب Jialei Dai (13020462)

"…Specifically, we introduce BEGAN (Boltzmann-enhanced GAN), a novel approach that adjusts molecule occurrence frequencies during training based on the Boltzmann distribution exp­(−Δ<i>U</i>/τ), where Δ<i>U</i> represents the estimated binding free energy derived from docking algorithms and τ is a temperature-related scaling hyperparameter. …"

BEGAN: Boltzmann-Reweighted Data Augmentation for Enhanced GAN-Based Molecule Design in Insect Pheromone Receptors حسب Jialei Dai (13020462)

"…Specifically, we introduce BEGAN (Boltzmann-enhanced GAN), a novel approach that adjusts molecule occurrence frequencies during training based on the Boltzmann distribution exp­(−Δ<i>U</i>/τ), where Δ<i>U</i> represents the estimated binding free energy derived from docking algorithms and τ is a temperature-related scaling hyperparameter. …"

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

Code for "Dataset of binocularly coded steady-state visual evoked potentials recorded with an augmented reality headset" حسب Yufeng Ke (16539882)

The folder containing the code is provided as supportive documentation associated with this paper. حسب Quxi Kuang (22493270)

Molecular modeling and SEC analysis of CAR and CD46 binding. حسب A. Manuel Liaci (20642831)