Performance of the proposed method for binary classification of lung cancer. by Md. Sabbir Hossain (9958939)

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Graphical comparison of binary class lung cancer classification with different approaches. by Md. Sabbir Hossain (9958939)

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Community Detection with Heterogeneous Block Covariance Model by Xiang Li (114679)

“…Most of the model-based community detection methods, such as the stochastic block model and its variants, are designed for networks with binary (yes/no) edges. …”

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by 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. …”

(a) Accuracy and (b) loss curves of training and validation during binary class classification for 512 features extracted by the CNN. by Md. Sabbir Hossain (9958939)

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Data Sheet 1_Detection of litchi fruit maturity states based on unmanned aerial vehicle remote sensing and improved YOLOv8 model.docx by Changjiang Liang (21099887)

“…In addition, YOLOv8-FPDW was more competitive than mainstream object detection algorithms. The study predicted the optimal harvest period for litchis, providing scientific support for orchard batch harvesting and fine management.…”

Table 1_A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing... by Charmayne Mary Lee Hughes (12959972)

“…</p>Conclusion<p>Machine learning algorithms show promise for the detection of current frailty status, particularly in binary classification. …”

Effectiveness of image augmentation operations. by Hailang Li (12557543)

ROC curves of the proposed method for binary class classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning. by Md. Sabbir Hossain (9958939)

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Result comparison with other existing models. by Md. Sabbir Hossain (9958939)

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Parameter attributes of the CNN feature extractor model. by Md. Sabbir Hossain (9958939)

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Performance comparison between the proposed method and various TL models with SVM. by Md. Sabbir Hossain (9958939)

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Structure of the proposed hybrid CNN-SVD-based ensemble model for lung cancer classification. by Md. Sabbir Hossain (9958939)

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Association between crowding and oral habits. by Kengo Oka (1420585)

“…</p><p>Conclusion</p><p>For the detection of malocclusion in mixed dentition, AI-based binary classification models are a promising approach as a screening tool.…”

Association between deep bite and oral habits. by Kengo Oka (1420585)

“…</p><p>Conclusion</p><p>For the detection of malocclusion in mixed dentition, AI-based binary classification models are a promising approach as a screening tool.…”

Breakdown of participants by residential area. by Kengo Oka (1420585)

“…</p><p>Conclusion</p><p>For the detection of malocclusion in mixed dentition, AI-based binary classification models are a promising approach as a screening tool.…”

Each variable for the dataset. by Kengo Oka (1420585)

“…</p><p>Conclusion</p><p>For the detection of malocclusion in mixed dentition, AI-based binary classification models are a promising approach as a screening tool.…”

Performance of the individual and proposed methods for multiclass classification of lung cancer. by Md. Sabbir Hossain (9958939)

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Lung cancer CT images before and after pre-processing. by Md. Sabbir Hossain (9958939)

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Normalized confusion matrix of the proposed method for multiclass classification: (A) GNB, (B) GBM, (C) KNN, (D) SVM, (E) RF, and (F) Ensemble learning. by Md. Sabbir Hossain (9958939)

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