3D analysis of the perforated pebbles and the perforations. حسب Talia Yashuv (12883867)

A) Ranking of models trained on different feature sets across all tested algorithms, sorted by their F1-score. حسب Jose Cleydson F. Silva (8685594)

Comparison of performance metrics between the baseline model and CFMM on three datasets. حسب Chong Zhang (418677)

الموضوعات:

Pseudocode of the BBAC_I Algorithm. حسب Zezhi Lin (22521663)

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

Predicting the Mutagenic Activity of Nitroaromatics Using Conceptual Density Functional Theory Descriptors and Explainable No-Code Machine Learning Approaches حسب Andrés Halabi Diaz (20798460)

"…This study integrates conceptual density functional theory (CDFT) descriptors with explainable no-code machine learning (ML) models to predict NA mutagenicity based on Ames test results. …"

Flowchart of proposed algorithm. حسب Tibebu Legesse (21030014)

"…Moreover, the proposed algorithm significantly extends network lifetime, with a <b>3.5%</b> and <b>7.5%</b> improvement over EAPS-AODV and AODV. …"

Comparison of startup performance of three strategies under the same load disturbance. حسب Haoran Cui (7235234)

The result for the risk assessment on three datasets using different optimal methods. حسب Jiaqing Huang (5018492)

الموضوعات:

Variance of local fields versus mean of local fields for (a) , (b) . حسب Ali Talebi (7164203)

Comparative experimental ranking results of BWEMFO and other famous optimization methods on IEEE CEC 2017 test functions. حسب Jingjing Ma (419752)

الموضوعات:

Top-ranked hub genes identified by 5 cytoHubba algorithms. حسب Jun Li (6494)

Algorithm framework in revitalizing HBs. حسب Kailun Fang (13949729)

Modeling Molecularly Imprinted Nanoparticles with LNKD: A Resource Efficient Algorithm for Polymer Cross-Linking حسب Emma Stevens (22257358)

الموضوعات:

Control parameters of the SOMA algorithm. حسب Quoc Bao Diep (18452207)

"…To optimize this cost function, we employ the self-organizing migrating algorithm, a swarm intelligence algorithm inspired by the cooperative and competitive behaviors observed in natural organisms. …"

Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems حسب Dongge Lei (6836915)

"…The effectiveness of the proposed QOBL-ICA is verified by testing on 20 benchmark functions and 3 engineering design problems. Experimental results show that the performance of QOBL-ICA is superior to most state-of-the-art meta-heuristic algorithms in terms of global optimum reached and convergence speed.…"

AP values of three methods on the three datasets, including four indicators: AP @50, AP @75, AP @M, and AP @L. Experiment one is the baseline model without adding other modules, ex... حسب Xunqian Xu (21261899)

الموضوعات:

Illustration of how (1 + 1)-WEA_v3 improves the target set when solving TSS. حسب Alexander Andreev (16822333)

Benchmark test function results. حسب Ruyi Dong (9038174)

"…In addition, to verify the performance and robustness of LLSKSO, comparison experiments between LLSKSO and 10 well-known algorithms are conducted on 50 benchmark test functions. …"

Overview of functionality supported by PyNoetic and its various modules, including the live analysis and programmable flowchart. حسب Gursimran Singh (575288)

الموضوعات: