Parameters of each algorithm. by 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. …”

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

Subjects:

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

Subjects:

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

Subjects:

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

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

Algorithm parameter setting. by Haiyan Zhang (176919)

Subjects:

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

Significance levels of gene biomarkers. by 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. by 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. …”

Contrast enhancement of digital images using dragonfly algorithm by 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. …”

Flowchart of the 3D-NLE-BF algorithm. by Haiyan Zhang (176919)

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Path length variation diagram of each algorithm. by Yun Qi (560401)

Simulation results of each algorithm path map. by Yun Qi (560401)

Stylised representation of the SPORES algorithm, in its standard (a) and HITL (b) formulations. by Francesco Lombardi (4520995)

Specific parameters of each model and ablation experiments. by Shiwei Yu (6060308)

Sanitized databases using MLHProtector algorithm. by Loan T. T. Nguyen (20660789)

“…To address this issue, this work suggests two PPUM algorithms, namely <b>MLHProtector</b> and <b>FMLHProtector</b>, to operate at all abstraction levels in a transaction database to protect them from data mining algorithms. …”

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

The detection accuracy of each ablation experiment. by Qian Shen (89639)

Performance comparison results of each algorithm model. by Shiya Gao (12693389)

The results of each test function. by Yuhang Wang (332111)

“…The improved NSGA-II algorithm is used to solve the Pareto front efficiently, and the search efficiency is improved by the elite reservation strategy and the congestion adaptive adjustment mechanism. …”