Parameters of each algorithm. حسب Nanqi Li (11640083)

"…Finally, the multi-strategy snake algorithm optimizes the objective equation, with milling parameter experiments revealing a 55.7 percent increase in surface roughness of Ti64 compared to pre-optimization levels. …"

Contrast enhancement of digital images using dragonfly algorithm حسب Soumyajit Saha (19726163)

"…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …"

UIQI of the results of each algorithm. حسب Haiyan Zhang (176919)

الموضوعات:

PSNR of the results of each algorithm. حسب Haiyan Zhang (176919)

الموضوعات:

Running time of each algorithm. حسب Haiyan Zhang (176919)

الموضوعات:

Reward outcomes for each combination of task cue and policy in the experiment. حسب Sam Hall-McMaster (10343795)

الموضوعات:

GenSearch algorithm. حسب Tarun Khajuria (12117309)

الموضوعات:

Resource utilization of modules in proposed implementations. حسب Ayesha Waris (21368446)

الموضوعات:

Decoding evidence for policies on each individual test task. حسب Sam Hall-McMaster (10343795)

الموضوعات:

Choice behavior on individual test tasks. حسب Sam Hall-McMaster (10343795)

الموضوعات:

Validation of the neural decoding pipeline. حسب Sam Hall-McMaster (10343795)

الموضوعات:

Comparative results of each algorithm in comparative experiment. حسب Junhao Wei (6816803)

"…<p>Comparative results of each algorithm in comparative experiment.</p>…"

Predictions from a Universal Value Function Approximator (UVFA) algorithm. حسب Sam Hall-McMaster (10343795)

الموضوعات:

Algorithm stages for the clustering phase. حسب Julien Roche (611898)

الموضوعات:

Storage batteries charging level. حسب Hisham Alghamdi (20114096)

الموضوعات:

Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm حسب Gelio Alves (51850)

"…To overcome this limitation, we implemented an expectation-maximization (EM) algorithm, along with a biological function database, within the MiCId workflow. …"

Algorithm parameter setting. حسب Haiyan Zhang (176919)

الموضوعات:

Overview of lr-kallisto pseudoalignment algorithm. حسب Rebekah K. Loving (16988427)

Significance levels of gene biomarkers. حسب Zongjin Li (38031)

"…This algorithm utilizes a graph network to represent the interaction information between genes, builds a GNN model, designs a loss function based on link prediction and self-supervised learning ideas for training, and allows each gene node to obtain a feature vector representing global information. …"

Computational analysis of each model. حسب Dinghong Mu (14204200)

"…The preprocessing phase involves a local feature attention mechanism that enhances local waveform features using the amplitude envelope. A dual-scale attention mechanism, operating at both channel and neuron levels, is employed to enhance the model’s learning from high-dimensional fused data, improving feature extraction and generalization. …"