Comparison between ILSTM and machine learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

Comparison between ILSTM and deep learning-based algorithms in binary classification. by Asmaa Ahmed Awad (16726315)

MSE for ILSTM algorithm in binary classification. by Asmaa Ahmed Awad (16726315)

“…In this paper, a novel, and improved version of the Long Short-Term Memory (ILSTM) algorithm was proposed. The ILSTM is based on the novel integration of the chaotic butterfly optimization algorithm (CBOA) and particle swarm optimization (PSO) to improve the accuracy of the LSTM algorithm. …”

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:

Binary encoding scheme. by Binh Thanh Dang (12368831)

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

Several loop patterns found in binary code. by Alba Pedro-Zapater (8600382)

Optimization of tracking parameters based on <i>P</i>_<i>swap</i>. by Benjamin Gallois (10131683)

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. …”

The AD-PSO-Guided WOA LSTM algorithm RMSE is based on the objective function compared to different algorithms. by Ahmed M. Elshewey (21463867)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

Subjects:

Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”

Results of machine learning algorithm. by Balraj Preet Kaur (20370832)

“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”

ROC comparison of machine learning algorithm. by Balraj Preet Kaur (20370832)

“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”

Homomorphic binary tree. by Jianhua He (341366)

Best optimizer results of Lightbgm. by Balraj Preet Kaur (20370832)

“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”

Best optimizer results of Adaboost. by Balraj Preet Kaur (20370832)

“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”

Best optimizer results of Lightbgm. by Balraj Preet Kaur (20370832)

“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”

Random forest with hyperparameter optimization. by Balraj Preet Kaur (20370832)

“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”

Best optimizer results of KNN. by Balraj Preet Kaur (20370832)

“…For the successful deployment of these machine learning-based systems, hyperparameter-based optimization and feature selection are important issues. …”