One advantage of our algorithm is that it is not binary in nature. by Yong Kuk Kim (13955214)

The flowchart showing the optimization process of the hybrid methods using BEOSA as the base algorithm and SA and FFA as integrated algorithms. by Olaide N. Oyelade (14047002)

Subjects:

CSTP-MAC algorithm backoff time-slots vs IEEE 802.15.4 binary backoff exponential algorithm backoff time-slots. by Innocent Uzougbo Onwuegbuzie (9243166)

AUW-CE Mining Algorithms & Dataset Hub by Shuaikang Yuan (21091847)

“…Moreover, in response to the limitations of conventional cross-entropy methods for HUCPM, four core optimization strategies are designed: optimization of the initial probability distribution to guide the search direction, enhancement of sample diversity to prevent local convergence, dynamic adjustment of sample size to reduce redundant calculations, and incorporation of utility weights to improve the accuracy of probability updates. …”

Reproducing kernel-based semiparametric functional smoothed score estimation with binary responses by Meichen Liu (8168148)

Latin sampling. by Honghua Liu (15307022)

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”

Performance of the optimal classifiers on each feature list. by Wenwei Wu (9352541)

Triplet Matching for Estimating Causal Effects With Three Treatment Arms: A Comparative Study of Mortality by Trauma Center Level by Giovanni Nattino (561797)

“…We fill the gap by developing an iterative matching algorithm for the three-group setting. Our algorithm outperforms the nearest neighbor algorithm and is shown to produce matched samples with total distance no larger than twice the optimal distance. …”

Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization by Yingying Ma (3617810)

“…Notably, the <i>D</i> of three candidates have shown significant improvements compared to the samples with similar <i>H</i> in the original data sets, with increases of 135.8, 282.4, and 194.1% respectively. …”

Accelerated Design for High-Entropy Alloys Based on Machine Learning and Multiobjective Optimization by Yingying Ma (3617810)

“…Notably, the <i>D</i> of three candidates have shown significant improvements compared to the samples with similar <i>H</i> in the original data sets, with increases of 135.8, 282.4, and 194.1% respectively. …”

NucB sampling: by Carlos A. Gomez-Uribe (21492788)

Alpha amylase sampling: by Carlos A. Gomez-Uribe (21492788)

Data_Sheet_1_Critical Evaluation of Metaheuristic Algorithms for Weight Minimization of Truss Structures.docx by Aristotelis E. Charalampakis (7454258)

Upset graph to show the intersection of features used in three optimal classifiers. by Wenwei Wu (9352541)

Three sensor sample data with noise data. by Tang Ruipeng (20141334)

PANet network design. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

Policy network (<i>θ</i>′) of SAM to accommodate PPO algorithm. by Zhenhan Huang (12107002)

BiFPN network design. by Mengqi Yuan (4852555)

“…Second, a dynamic up-sampling technique was introduced to improve the model’s ability to recover fine details. …”

Indels characterization algorithm development and benchmark with simulated data and real data. by Marta Sanvicente-García (12306659)