Cell-TRACTR detects cells in the first frame at time t 0. Object queries predicted to be a “cell” are converted to track queries. For Track Group Denoising (TGD), random noise is a... حسب Owen M. O’Connor (11965460)

City driving speed query results. حسب Meilin Zhu (688698)

Cells are initially detected in frame t₀ and then tracked to frame t₁. Object queries are processed in the first layer of the decoder for object detection. In... حسب Owen M. O’Connor (11965460)

Number of tweets collected per query and type. حسب Sylvia Iasulaitis (8301189)

Example illustrating how object and track queries interact using an attention map processed by Cell-TRACTR across two subsequent frames. The schematic displays the actual output al... حسب Owen M. O’Connor (11965460)

Algorithm for optimizing the model using transformer. حسب Weiling Liu (1465480)

Performance of ENQUIRE’s gene normalization algorithm. حسب Luca Musella (19986312)

The squared cosine values for the original variables in the new features (PC1 to PC5) are provided below. حسب Lorenzo Serva (6184358)

Example of a knowledge query. حسب Bei Li (90587)

Differences in computing performance between ENQUIRE’s gene normalization algorithm and GNorm2-Bioformer. حسب Luca Musella (19986312)

Workflow of anonymous collaboration process. حسب Zhaowei Hu (9234288)

The real NGD values, one-step ahead training set predictions, and multi-step ahead test set predictions using the AI-AFTER algorithm for Kayseri. حسب Burak Alakent (463512)

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... حسب Owen M. O’Connor (11965460)

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. حسب 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.…"

Review of related research. حسب Manqi Li (22633830)

"…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …"

Image quality assessment. حسب Manqi Li (22633830)

"…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …"

Contrast analysis results. حسب Manqi Li (22633830)

"…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …"

Details of museum collection images. حسب Manqi Li (22633830)

"…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …"

Meaning of special values for image contrast. حسب Manqi Li (22633830)

"…A distinctive aspect of our method is transforming image grayscale levels into fuzzy sets. We analyze the similarity between the fuzzy sets before and after enhancement using the cosine similarity algorithm, allowing us to reconstruct the processed images with targeted similarity. …"

Heatmap illustrating which multi-scale feature pixels were classified as “cell” by query selection. This data was collected by processing the full test set containing 29 movies fro... حسب Owen M. O’Connor (11965460)