DARTS algorithm process. by Yuxuan Ji (13991895)

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Performance of different machine learning algorithms. by Apichat Suratanee (634281)

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

“…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. …”

Overview of the new pre-training algorithms: Real-or-Fake Prediction (RFP) and Same-Sequence Prediction (SSP). by Eun-Jin Kim (305808)

Data supporting figures and tables in Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams by IKENNA CLEMENT EKEKE (20995226)

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Hyperparameters of self-supervised learning algorithms used in Experiments 1–5. by Lalit Pandey (13195488)

Upsampling network model architecture diagram. by Anqi Chen (1950547)

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Image processing algorithm. by Madison Shoraka (22171205)

“…<p>This Matlab file contains all code used to run the image processing algorithm described in Sect <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013425#sec004" target="_blank">2.2</a>.…”

Flowchart of the GAN–BWGNN HAD algorithm. by Ruhan A (12403982)

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Licking behaviors and neural firings of the model. by Huu Hoang (9188747)

Subjects: “…supervised learning algorithms…”

Quantitative results of three algorithms. by Zahoor Jan (20077515)

“…The paper describes a new approach to WBC segmentation using UNet++, the marker watershed algorithm, and Neural Ordinary Differential Equations (ODE). …”

Spatial variables selected for LULC modeling. by Firdissa Sadeta Tiye (21222102)

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Averaged malware detection performance of the ByteEnc (BERT-small) pre-trained with the MLM algorithm, where NoPE and RePE indicate the relative positional embedding and No positio... by Eun-Jin Kim (305808)

Flow chart showing the model training process. by Henrik Mustonen (20378529)

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DARTS-VAN model unit search process. by Yuxuan Ji (13991895)

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Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 by Berith Atemoztli De la Cruz Sánchez (21758708)

“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”

The process chain of the de-jitter algorithm. by Hannes Benecke (17409369)

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BM3D algorithmic process. by Xiyu Zheng (21703063)

Comparison of algorithm execution efficiency. by Qiong Long (582277)

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The segmentation process of this new algorithm. by Niu Meng (22032810)

“…<div><p>With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. …”