Explainable phishing website detection for secure and sustainable cyber infrastructure حسب Tanzila Kehkashan (20748842)

The Role of Machine Learning in Diagnosing Bipolar Disorder: Scoping Review حسب Zainab Jan (17306614)

"…We identified different machine learning models used in the selected studies, including classification models (18, 55%), regression models (5, 16%), model-based clustering methods (2, 6%), natural language processing (1, 3%), clustering algorithms (1, 3%), and deep learning–based models (3, 9%). …"

Terahertz Multiple Access: A Deep Reinforcement Learning Controlled Multihop IRS Topology حسب Muhammad Shehab (16904880)

Estimating hydrogen absorption energy on different metal hydrides using Gaussian process regression approach حسب Majedeh Gheytanzadeh (17541927)

"…For this purpose, a data bank of 314 data point pairs was used. In this assessment, the different A-site and B-site elements were used as the input variables, while the hydrogen absorption energy resulted in the output. …"

Enhancing e-learning through AI: advanced techniques for optimizing student performance حسب Rund Mahafdah (21399854)

A Machine Learning Based Framework for Real-Time Detection and Mitigation of Sensor False Data Injection Cyber-Physical Attacks in Industrial Control Systems حسب Mariam Elnour (14147790)

"…A MATLAB/Simulink-based simulation model of the process validated with actual data from a local plant is used. …"

Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection حسب Atiq ur Rehman (3044409)

"…<p>The increasing accessibility of extensive datasets has amplified the importance of extracting insights from high-dimensional data. However, the task of selecting relevant features in these high-dimensional spaces is made more difficult due to the curse of dimensionality. …"

Reliable Tuberculosis Detection Using Chest X-Ray With Deep Learning, Segmentation and Visualization حسب Tawsifur Rahman (14150523)

"…In this work, we have detected TB reliably from the chest X-ray images using image pre-processing, data augmentation, image segmentation, and deep-learning classification techniques. …"

Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator حسب Fatemeh Negar Irani (22302835)

"…Aiming at these problems, this study develops a novel unsupervised data-driven FD strategy based on leveraging the potential of <u>transfer learning</u> and the Koopman operator. …"

Deep and transfer learning for building occupancy detection: A review and comparative analysis حسب Aya Nabil Sayed (17317006)

"…This article provides an in-depth survey of the strategies used to analyze sensor data and determine occupancy. The article’s primary emphasis is on reviewing deep learning (DL), and transfer learning (TL) approaches for occupancy detection. …"

PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping حسب Arvind Prasad (19997799)

"…Additionally, a new strategy using similarity-based selective training reduces the amount of data required for the training of an incremental learning-based model, focusing on the most relevant data to improve efficiency. …"

Smart Power Systems Transformation: Advanced Fault Detection With Edge Computing and Signal Processing in LV Networks With EV Charging Stations حسب Partha Chakraborty (12423883)

Machine Learning–Based Approach for Identifying Research Gaps: COVID-19 as a Case Study حسب Alaa Abd-alrazaq (17058018)

Traffic Transformer: Transformer-based framework for temporal traffic accident prediction حسب Mansoor G. Al-Thani (19237204)

"…This significant shift enhances the model's ability to capture long-range dependencies within time series data. Moreover, it facilitates a more flexible and comprehensive learning of diverse hidden patterns within the sequences. …"

Sentiment visualization of correlation of loneliness mapped through social intelligence analysis حسب Hurmat Ali Shah (18192889)

"…Social media platforms have become a valuable source of data to study this phenomenon.</p><h3>Objectives</h3><p dir="ltr">This paper aims to visualize the frequency of loneliness-related themes and topics in Twitter data. …"

GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review حسب Md. Sulyman Islam Sifat (22928983)

"…<p dir="ltr">In 2014, Goodfellow et al. introduced Generative Adversarial Networks (GANs), an adversarial learning framework designed to generate synthetic data. …"

Integrating remote sensing and social sensing for flood mapping حسب Rizwan Sadiq (15192181)

"…Therefore, this paper explores the integration of remote sensing and social sensing data to derive informed flood extent maps. For this purpose, we employ state-of-the-art deep learning methods to process heterogeneous data obtained from four case-study areas, including two urban regions from Somalia and India and two coastal regions from Italy and The Bahamas. …"

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment حسب Poonam Dhiman (12889038)

"…</p><p> </p></div><h2>Other Information</h2> <p> Published in: EURASIP Journal on Advances in Signal Processing<br> License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1186/s13634-023-01025-y" target="_blank">https://dx.doi.org/10.1186/s13634-023-01025-y</a></p>…"

Various Faults Classification of Industrial Application of Induction Motors Using Supervised Machine Learning: A Comprehensive Review حسب Rehaan Hussain (22302742)

"…In current literature, there are a number of papers that address all these faults using different methods, and this paper compiles the information from the written works for ease of access. Machine learning algorithms are a set of data-driven rules that are able to classify specific faults in induction motors, which will be explained further in this review paper. …"

Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)