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

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

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

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... by Owen M. O’Connor (11965460)

City driving speed query results. by 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... by Owen M. O’Connor (11965460)

Update mechanism. by Saad Hammood Mohammed (20623506)

Number of tweets collected per query and type. by 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... by Owen M. O’Connor (11965460)

Position and velocity update in PSO. by Saad Hammood Mohammed (20623506)

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.…”

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

Flowchart of proposed fitness function algorithm. by Ferhat Yuna (21519851)

Subjects:

(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions). by Yu Liu (6938)

Subjects:

Ant colony algorithm function and parameter explanation. by Yang Yu (4292)

“…<p>Ant colony algorithm function and parameter explanation.</p>…”

Functional fitness test results of different algorithms. by Ling Zhao (111365)

“…<p>Functional fitness test results of different algorithms.…”

Performance validation of different algorithms in two benchmark functions. by Wenjing Wang (181404)

Subjects:

SP results of algorithms in the CEC 2009 test functions. by Vahid Goodarzimehr (21343124)

“…<p>SP results of algorithms in the CEC 2009 test functions.</p>…”

Results obtained by different algorithms on 23 benchmark functions. by Yuqi Xiong (12343771)

Subjects:

Optimization algorithms performance comparison across benchmark functions. by Sundreen Asad Kamal (20390818)

“…<p>Optimization algorithms performance comparison across benchmark functions.…”