G4SNVHunter workflow for identifying variants that affect G4 formation. by Rongxin Zhang (1618159)

“…<b>(B)</b> Function-level schematic of the G4SNVHunter workflow, showing the relationships between key modules and their data flow. …”

Flow chart of Fuzzy Logic based control system. by Gourab Saha (8987405)

Flow chart of Average Value-based control system. by Gourab Saha (8987405)

Flow chart of the experimental procedure. by Yufeng He (5673119)

Elementary effects (EE) results for the generation of villous vessels within a placentone employing the input parameter ranges from Table 1. by Diana C. de Oliveira (9220729)

Interaction and functionality of various modules in the proposed sentiment analysis system. by Hongtao Wang (570131)

Modular architecture design of PyNoetic showing all its constituent functions. by Gursimran Singh (575288)

Subjects:

Assembly task flow. by Guohua Cao (697580)

Multi-algorithm comparison figure. by Dawei Wang (471687)

“…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …”

Flow diagram of the reachable workspace. by Zesheng Wang (15244172)

System no-load torque response results under three control algorithms. by Haoran Cui (7235234)

Subjects:

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

Subjects:

Flow chart of the MACOA. by Xingtao Wu (22139242)

Flow chart of the IWKELM. by Xingtao Wu (22139242)

Test function convergence curve. by Anqi Jiang (4583380)

“…Then, the upper-level model is solved using improved whale optimization, and the lower-level model is solved using improved Frank-Wolfe algorithm. The results showed that the accuracy and recall of the proposed improved whale optimization algorithm on the Iris dataset were 95.27% and 92.65%, respectively, which were superior to traditional whale optimization algorithm, moth flame optimization algorithm, moth flame optimization algorithm combined with chaos strategy, and adaptive firefly optimization algorithm. …”

Trajectory comparison for system 3: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 1: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 2: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Schematic diagram of sliding mode variable structure control algorithm design content. by Haoran Cui (7235234)

Subjects:

Benchmark function information. by Hao Yang (328526)