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)

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)

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)

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

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

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.…"

Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

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)

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

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

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

Elements: Kingfisher: Storage Management for Data Federations (CSSI PI Meeting 2025) حسب Brian Bockelman (5128082)

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

Risk element category diagram. حسب Yao Hu (3479972)

The encoder employs deformable self-attention to transform multi-scale features into encoded multi-scale features. Query selection is used to derive the object queries from these e... حسب Owen M. O’Connor (11965460)

Visual representation of Trust and elements that are needed for equitable data sharing. حسب Qunita Brown (19751520)

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

Source_data_single_element_motor حسب Hiroyuki Ichijo (19799292)

"…<p dir="ltr">Source data of experiments by the single-element motor algorithm.…"

Scatter diagram of different principal elements. حسب Jizhong Wang (7441697)