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

The setup for the sample tracking algorithm. by Hannes Benecke (17409369)

“…<p>(a): An overview of the field of view used in the tracking algorithm. The red rectangle shows the zoomed field of view that was necessary due to the small sample size. …”

Visual representation of how Cell-TRACTR uses track queries to track cells and detect divisions. by Owen M. O’Connor (11965460)

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

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

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

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The genome coding scheme. by Wenbing Shi (5806160)

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Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Comparison of different algorithms. by Jiandong Qiu (20389944)

Track followed by fixed wing UAV. by Hasan Raza Khanzada (22404835)

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Generator network and discriminator network. by Xiaojun Wang (50332)

“…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …”

Cell tracking improves integration quality over linear sum assignment. by Robert T. Heussner (21989911)

“…<b>(B)</b> Cycle consistency of LSA rapidly diminishes with increasing neighborhood size, whereas cell tracking ensures cycle consistency. <b>(C)</b> Heatmap showing the match correlation percent improvement when enriching the tracking algorithm with protein expression information for each TMA core and shared feature, with eight shared markers serving as ground truth for matching and integration. …”

Co-authorship network (graph generated using the force-directed Fruchterman-Reingold algorithm). by Philippine Dupé (21485482)

Cell-HOTA metric incorporates cell division accuracy. by Owen M. O’Connor (11965460)

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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)

The iterative curves of the algorithms. by Qinghe Guo (21519322)

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

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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>…”