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)

Sampling points during the 6th respiration. by Feng Gao (3548)

Action potential of sample points in model 1. by Hang Zhao (143592)

Action potential of sample points in model 2. by Hang Zhao (143592)

Action potential of sample points in model 0. by Hang Zhao (143592)

The structure of the sample point generator in Dysample. by Mengqi Yuan (4852555)

N₂O mass fraction at 9 sampling points. by Feng Gao (3548)

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

Failure Samples and Fitting Results. by Dongyan Wang (195482)

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. …”

Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties by Tamara Cantú Maltauro (15199725)

Grid independence test for: (a) Temperature, (b) Velocity W, (c) Velocity U, and (d) Sampling points in the X-Z plane. by Feng Gao (3548)

Test results of composite sample distribution. by Shaoxia Mou (16510383)

Subjects:

<i>T</i>_<i>ca</i> and schemes distribution of the sample point. by Weijian Li (762796)

Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

Subjects:

Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

Subjects:

Graphical illustration of sample size estimation for the study protocol. by Müge Yalçin (16486563)

Effects of Class Imbalance and Data Scarcity on the Performance of Binary Classification Machine Learning Models Developed Based on ToxCast/Tox21 Assay Data by Changhun Kim (682542)

“…However, ToxCast assays differ in the amount of data and degree of class imbalance (CI). Therefore, the resampling algorithm employed should vary depending on the data distribution to achieve optimal classification performance. …”