Algorithm operation steps. by Junyan Wang (4738518)

“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”

Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)

Predictive Mixing for Density Functional Theory (and Other Fixed-Point Problems) by L. D. Marks (1949689)

Subjects:

Steps in the proposed Apriori algorithm. by Yongkang Ding (21807539)

“…<div><p>Physical fitness refers to the health of all body functions, including cardiorespiratory endurance, muscle strength, flexibility, stamina, and body composition, which can help individuals effectively cope with daily activities and sports challenges. …”

Flowchart of step() function. by Raed Alharthi (18340157)

Flowchart of DAPF-RRT algorithm. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Performance comparison of different algorithms. by Zhenggang Wang (1753657)

Subjects: “…target gravitational function…”

Procedure of the DCT-based EIT algorithm. by Rongqing Chen (249906)

“…Structural priors introduced in the DCT-based approach are of two categories in terms of different levels of information included: a contour prior only differentiates lung and non-lung region, while a detail prior includes information, such as atelectasis, within the lung area. To demonstrate the increased interpretability of the EIT image through structural prior in the DCT-based approach, the DCT-based reconstructions were compared with reconstructions from a widely applied one-step Gauss-Newton solver with background prior and from the advanced GREIT algorithm. …”

Curve of step response signal of 6 algorithms. by Guangwei Liu (181992)

“…The proposed algorithm was evaluated on eight standard benchmark functions, CEC2019 benchmark functions, four engineering design problems, and a PID parameter optimization problem. …”

Comparison of algorithm search curves. by Bowen Li (200859)

“…Finally, through dynamic adaptive cuckoo search (DACS), the step size is automatically adjusted according to the convergence speed of the objective function of RBF, and the efficiency and accuracy of RBF in different search stages are balanced. …”

Comparison of step size 0.1 with the actual energy consumption step count. by Zhiqun Lin (1429501)

Subjects:

Basic framework design flowchart. by Zhiqun Lin (1429501)

Subjects:

Schematic diagram of common CPS architecture. by Zhiqun Lin (1429501)

Subjects:

Schematic diagram of CPS. by Zhiqun Lin (1429501)

Subjects:

Flowchart of EAS framework design. by Zhiqun Lin (1429501)

Subjects:

Feature selection algorithm. by Mahmoud Zeydabadinezhad (12289570)

Subjects:

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Networking Chemicals Flows: Efficiency–Value–Environment Functionalized Symbiosis Algorithms and Application by Yizheng Lyu (17346506)

Route for bays29 output by ABSQL algorithm. by Jin Zhang (53297)

“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”