MSE for ILSTM algorithm in binary classification. حسب 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. …"

Urgent versus nonurgent binary classification performance. حسب Kyung Won Kwon (18150416)

Binary contingency table. حسب Lu Xiao (314030)

Applications of maths in science: understanding life with mathematics حسب Gopal Peddinti (5810018)

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm حسب Hussein Ali Bardan (21976208)

"…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …"

Improved support vector machine classification algorithm based on adaptive feature weight updating in the Hadoop cluster environment حسب Jianfang Cao (1881379)

"…<div><p>An image classification algorithm based on adaptive feature weight updating is proposed to address the low classification accuracy of the current single-feature classification algorithms and simple multifeature fusion algorithms. …"

Data Sheet 1_Bundled assessment to replace on-road test on driving function in stroke patients: a binary classification model via random forest.docx حسب Lu Huang (211625)

"…The subject was classified as either Success or Unsuccess group according to whether they had completed the on-road test. A random forest algorithm was then applied to construct a binary classification model based on the data obtained from the two groups.…"

Binary Database of Patagonian Archaeological Technology from Hunter–gatherer mobility and technological landscapes in southernmost South America: a statistical learning approach. حسب Ivan Briz i Godino (719098)

Where to Handle an Exception? Recommending Exception Handling Locations from a Global Perspective حسب Xiangyang Jia (10026932)

Smaller gene set of DFC was selected by a unique selection criterion. حسب Takeru Fujii (11731550)

Comparison with previous studies. حسب Ji Seung Ryu (16187857)

"…Three datasets were used for the experiment: the male, female, and entire dataset. A cutoff for binary classification was defined as the meaningful as a screening test (<132 g/m² vs. ≥132 g/m², <109 g/m² vs. ≥109 g/m²). …"

Dataset characteristics. حسب Ji Seung Ryu (16187857)

"…Three datasets were used for the experiment: the male, female, and entire dataset. A cutoff for binary classification was defined as the meaningful as a screening test (<132 g/m² vs. ≥132 g/m², <109 g/m² vs. ≥109 g/m²). …"

Acronym table. حسب Ji Seung Ryu (16187857)

"…Three datasets were used for the experiment: the male, female, and entire dataset. A cutoff for binary classification was defined as the meaningful as a screening test (<132 g/m² vs. ≥132 g/m², <109 g/m² vs. ≥109 g/m²). …"

Class activation maps. حسب Ji Seung Ryu (16187857)

Visualization of statistical metrics. حسب Ji Seung Ryu (16187857)

Schematic overview of the study. حسب Ji Seung Ryu (16187857)

Structural diagram of model. حسب Ji Seung Ryu (16187857)

Performance of LVH prediction model for gender. حسب Ji Seung Ryu (16187857)

Fig 3 - حسب Ali Ahmed (2567584)

S- and V-Type transfer function diagrams. حسب Chenyi Zhu (9383370)