Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

Subjects:

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)

The main workflow of the proposed algorithm. by Xin Li (51274)

The detected blocks. by Xin Li (51274)

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. …”

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)

Key steps in neurodegeneration detection algorithm. by Andrew S. Clark (16510496)

“…The resulting binary image is then closed with a vertical structuring element to connect points where no local maxima is detected. …”

The tissue detection pipeline. by Andrea Bizzego (6519749)

Illustrations of distances used as the 5^th to 7^th features (f5-f7) from a blob (orange circle) to the fovea. by Rinrada Tanthanathewin (18611171)

CNN structure for feature extraction. by Md. Sabbir Hossain (9958939)

“…The extracted features were then processed by a set of ML algorithms along with a voting ensemble approach. …”

Event-driven data flow processing. by Yixian Wen (12201388)

“…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …”

Structure of the proposed MBDA framework. by Hailang Li (12557543)

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

An example of an OCT image of a DR case (left) and illustration of relevant parts (right): EX-AN blobs (yellow blobs) in the area of interest (a blue region), the ILM (a red line)... by Rinrada Tanthanathewin (18611171)

An example of a histogram of the normalized intensity of an OCT image. by Rinrada Tanthanathewin (18611171)

Illustration of a black shadow marker under the EX-AN. by Rinrada Tanthanathewin (18611171)

Examples of the fovea locations (stars) a typical case (left) and an abnormal case (right). by Rinrada Tanthanathewin (18611171)

ILM (pink line) and RPE (green line) layers in a normal OCT image. by Rinrada Tanthanathewin (18611171)

Confusion metrics using LR-HaPi algorithm. by Akib Mohi Ud Din Khanday (19065631)

“…Propaganda on these platforms refers to the dissemination of biased or deceptive information aimed at influencing public opinion, encompassing various forms such as political campaigns, fake news, and conspiracy theories. This study introduces a Hybrid Feature Engineering Approach for Propaganda Identification (HAPI), designed to detect propaganda in text-based content like news articles and social media posts. …”