Route for bays29 output by ABSQL algorithm. حسب 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. …"

Flowchart for Algorithm 1. حسب Sagvan Y. Musa (17797611)

Flowchart for Algorithm 2. حسب Sagvan Y. Musa (17797611)

Improved Ant Colony Algorithm حسب AOBEI ZHANG (17657703)

"…To achieve this, we integrate the hyperbolic tangent function, fine-tuning the ACO algorithm's behavior to adaptively adjust its search strategy across iterations.(2) Recognizing the tendency of heuristic algorithms to converge prematurely into local optima, we devise a max-min ant colony strategy. …"

Comparative analysis of algorithms. حسب Xumin Zhao (18261643)

"…Notably, the LIRU algorithm registers a 5% increment in one-hop hit ratio relative to the LFU algorithm, a 66% enhancement over the LRU algorithm, and a 14% elevation in system hit ratio against the LRU algorithm. …"

Function graph and algorithm iterative graph. حسب WanRu Zhao (18980374)

الموضوعات:

Multi-scale detection of hierarchical community architecture in structural and functional brain networks حسب Arian Ashourvan (6685232)

"…In their simplest application, community detection algorithms are agnostic to the presence of community hierarchies: clusters embedded within clusters of other clusters. …"

Illustration of the unrestricted model and its training algorithm. حسب Yuru Song (21300760)

S1 Data - حسب Yannick Feld (16520678)

الموضوعات:

S1 Fig - حسب Yannick Feld (16520678)

الموضوعات:

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…For the early-stage diabetes dataset, LGWO-BP achieved an accuracy of 0.92, a recall of 0.93, a precision of 0.88, an F1-score of 0.91, and an AUC of 0.95. Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm. حسب Roberto Castro-Medina (21484990)

"…<p>Mean convergence graphs of the evolution in the performance function and its terms through generations in thirty executions of each algorithm.…"

System pharmacology-based determination of the functional components and mechanisms in chronic heart failure treatment: an example of Zhenwu decoction حسب Yisheng Huang (152457)

"…Subsequently, a pioneering method for evaluating node significance was formulated, culminating in the creation of core functional association space (CFAS). To discern vital components, a novel dynamic programming algorithm was devised and used to determine the core component group (CCG) within the CFAS. …"

The algorithm for the same-day surgery protocol. حسب Magnus Tveit (11442200)

Standard benchmark 28 test functions. حسب Qianhang Du (13410314)

The convergence curves of the test functions. حسب Ruiyu Zhan (21602031)

"…For the early-stage diabetes dataset, LGWO-BP achieved an accuracy of 0.92, a recall of 0.93, a precision of 0.88, an F1-score of 0.91, and an AUC of 0.95. Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Single-peaked reference functions. حسب Ruiyu Zhan (21602031)

"…For the early-stage diabetes dataset, LGWO-BP achieved an accuracy of 0.92, a recall of 0.93, a precision of 0.88, an F1-score of 0.91, and an AUC of 0.95. Utilizing the diabetes dataset from 130 U.S. hospitals, the LGWO-BP algorithm achieved a precision rate of 0.97, a sensitivity of 1.00, a correct classification rate of 0.99, a harmonic mean of precision and recall (F1-score) of 0.98, and an area under the ROC curve (AUC) of 1.00. …"

Our algorithms process large data sets within a minute. حسب Manu Aggarwal (15990691)

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

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