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)

“…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …”

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

The flowchart of the MAs selection process. by Samer Mheissen (8748501)

Primary characteristics and categories of the 31 studies. by Jiaxin Li (441199)

Features selected by optimization algorithms. by Afnan M. Alhassan (18349378)

“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”

MLP vs classification algorithms. by Mohd Mustaqeem (19106494)

“…We propose SPAM-XAI, a hybrid model integrating novel sampling, feature selection, and eXplainable-AI (XAI) algorithms to address these challenges. …”

Construction process of RF. by Xini Fang (20861990)

“…Following this, the FCM clustering algorithm is utilized for pre-processing sample data to improve the efficiency and accuracy of data classification. …”

Primary characteristics and details of the 31 studies (Table 2 was uploaded as an additional file). by Jiaxin Li (441199)

Hybrid feature selection algorithm of CSCO-ROA. by Afnan M. Alhassan (18349378)

“…Consequently, the prediction of BrC depends critically on the quick and precise processing of imaging data. The primary reason deep learning models are used in breast cancer detection is that they can produce findings more quickly and accurately than current machine learning-based techniques. …”

Excel file with primary data used to assemble figures. by Ankit Srivastava (742990)

Schematic representation of univariate ensemble-based feature selection. by Nanavath Kiran Singh Nayak (22184565)

Subjects:

SLR-Resource Allocation in Business Processes: Selected studies and data extraction by Luise Pufahl (17695929)

Trajectory mode selection. by Anees ul Husnain (18017648)

Total primary energy demand by fuel in China. by Da Lian (18880882)

<i>hi</i>PRS algorithm process flow. by Michela C. Massi (14599915)

Pre-processing steps. by Yubraj Gupta (7465394)

Weights of sample data. by Yixuan Lu (9987980)

Illustration of the cell detection process. by Adam L. Tyson (10892822)