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)

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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)

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

"…Python algorithms were developed to model each primary collection type. …"

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)

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

"…Entities and relationships were jointly extracted using the pretrained language model, resulting in 8,525 entity data points and 9,522 triple data points. …"

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.…"

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

"…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …"

Modeling approach and network generating algorithm. حسب Matthew Aguirre (9558032)

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)

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Architecture of AGAN algorithm model. حسب Xing Chen (140292)

The algorithm of the applied models. حسب Elif Tuçe Bal (21367965)

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Comparison results of prediction model with single algorithm and combination algorithm. حسب Jiayuan Wang (3765376)

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

Data generation algorithm. حسب Aluwani Ramalata (21262977)

Detection algorithm table for modeling the phonetic characteristics of Yue opera. حسب Yuhang Zhang (3144870)

The algorithm flow for modeling the pitch contours of Yue opera phonemes. حسب Yuhang Zhang (3144870)

The algorithm of the AWGE-ESPCA model. حسب Rui Miao (1592461)

Evaluation of model aggregation algorithms. حسب JiaMing Wang (334865)

"…Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. …"

Algorithm of model development and validation. حسب Bethan Cracknell Daniels (20469396)

Performance of models by different algorithms. حسب Yong Zhang (5893)

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