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. …”

Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

Application of ABC SMC to the fitting of the binary flip with cusp model. by Elena Camacho-Aguilar (10906327)

Bayesian sequential design for sensitivity experiments with hybrid responses by Yuxia Liu (1779592)

“…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”

Effect of stopping an optimal schedule early. by Samuel Christensen (9922554)

“…<p>(A) Mean phase difference between the final point of the prematurely ended the optimal schedule and the target over the next 24 hours. …”

Probability graphical model of scMSI. by Yuqian Liu (1413763)

Reliability of the optimized frequency parameters and sFC matrix edges in the high-dimensional cases as well as of the GoF. by Kevin J. Wischnewski (21354521)

Pie chart of dependent variables. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

EDA architecture for CPM Dataset. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Statistic Result of Random Forest Classifier. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

RF Tree and Confusion Matrix for Random Forest. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

The CPM with FFT DAQ System. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Heatmap of CPM dataset. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Hypothesis testing of CPM dataset. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Impeller vs casing with bearing scatter. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

The 5-point summary of CPM dataset. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Logistic Classifier Confusion Matrix. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Statistic Result of <i>Naïve Bayes Classifier.</i> by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Statistic Result of Support Vector Classifier. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”

Confusion Matrix for Support Vector Classifier. by Gaurav Sandeep Dave (21519884)

“…The validated data is employed to train machine learning classifiers and deep learning algorithms, targeting a 27.25% enhancement in operational efficiency based on F1 score. …”