Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set for the DeepCell dataset... by Owen M. O’Connor (11965460)

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

Comparison of mass attenuation coefficient calculated by Geant4 simulation and acquired from NIST data. by Dong Hyeok Choi (12562048)

Morphisms of group objects that satisfy the existence of a right inverse element form a commutative diagram. by Jian-Gang Tang (21594349)

Morphisms of group objects that satisfy the existence of a left inverse element form a commutative diagram. by Jian-Gang Tang (21594349)

Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

Sequence patterns of Ig-domain variants in WebLogo format. by Caesar Tawfeeq (21087272)

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Data for Figs 3–9. by Xiaogang Li (299205)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user query vector, historical interaction record and knowledge graph subgraph representation into state space, designs reward function, and trains the policy network through the proximal policy optimization algorithm (PPO) to optimize the retrieval strategy. by Yali Chen (24494)

“…<p>Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user query vector, historical interaction record and knowledge graph subgraph representation into state space, designs reward function, and trains the policy network through the proximal policy optimization algorithm (PPO) to optimize the retrieval strategy.…”

In a general category with finite products, morphisms of group objects that satisfy the existence of an identity element form a commutative diagram. by Jian-Gang Tang (21594349)

Scatter plots showing the variations in impurity elements with TiO₂ and MgO contents. by Gabriel Prates Hallal (19555976)

In a general category with finite products, the morphisms of group objects that satisfy the existence of a left identity element form a commutative diagram. by Jian-Gang Tang (21594349)

In a general category with finite products, the morphisms of group objects that satisfy the existence of a right identity element form a commutative diagram. by Jian-Gang Tang (21594349)

Temperature measurement at the wire tip during TSE MRI using the standard bases (“Channel coordinate”), low-SAR bases and safe-mode PTX MRI with channel settings determined in the... by Maryam Arianpouya (12299222)

Computation time as a function of the sample size on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Log-likelihood as a function of the number of selected edges on the chain graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

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Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

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F1 score of edges selected through cross-validation on the chain graph dataset. by Tomokaze Shiratori (9635271)

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Log-likelihood as a function of the number of selected edges on the random graph dataset (black dashed line: The true number of edges). by Tomokaze Shiratori (9635271)

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