Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey by Basheer Qolomany (16855527)

“…Machine learning and big data analytics will undoubtedly play a critical role to enable the delivery of such smart services. …”

Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions by Mumin Adam (22466626)

“…Traditional machine learning (ML) models rely on centralized architectures, which, while powerful, often present significant privacy risks due to the centralization of sensitive data. …”

RelTextRank: An Open Source Framework for Building Relational Syntactic-Semantic Text Pair Representations by Kateryna Tymoshenko (19691680)

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

Autocleandeepfood: auto-cleaning and data balancing transfer learning for regional gastronomy food computing by Nauman Ullah Gilal (17302714)

“…To address this issue, we present <i>AutoCleanDeepFood</i>, a novel end-to-end food computing framework for regional gastronomy that contains the following components: (i) a fully automated pre-processing pipeline for custom data sets creation related to specific regional gastronomy, (ii) a transfer learning-based training paradigm to filter out noisy labels through loss ranking, incorporating a Russian Roulette probabilistic approach to mitigate data imbalance problems, and (iii) a method for deploying the resulting model on smartphones for real-time inferences. …”

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

Agree-to-Disagree (A2D): A Deep Learning-Based Framework for Authorship Discrimination Task in Corpus-Specificity Free Manner by Md. Tawkat Islam Khondaker (16870107)

Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data by Rajesh Kumar Dhanaraj (19646269)

VHDRA: A Vertical and Horizontal Intelligent Dataset Reduction Approach for Cyber-Physical Power Aware Intrusion Detection Systems by Hisham A. Kholidy (18891802)

Generative AI revolution in cybersecurity: a comprehensive review of threat intelligence and operations by Mueen Uddin (4903510)

Global User-Level Perception of COVID-19 Contact Tracing Applications: Data-Driven Approach Using Natural Language Processing by Kashif Ahmad (12592762)

“…In existing studies, generally, data from fewer applications are analyzed. In this work, we showed that AI and natural language processing techniques provide good results for analyzing and classifying users’ sentiments’ polarity and that automatic sentiment analysis can help to analyze users’ responses more accurately and quickly. …”

Detection of central serous retinopathy using deep learning through retinal images by Syed Ale Hassan (17785655)

Machine learning-aided prediction of COD removal in the electrocoagulation process using a super learner model by Mhd Taisir Albaba (20601071)

Privacy-Preserving Distributed IDS Using Incremental Learning for IoT Health Systems by Aliya Tabassum (16896486)

“…We propose a novel privacy-preserving intrusion detection pipeline for distributed incremental learning. Our pre-processing technique eliminates redundancies and selects unique features by following innovative extraction techniques. …”

Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar (22282840)

“…</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3521026" target="_blank">https://dx.doi.org/10.1109/access.2024.3521026</a></p>…”

A Novel Non-Invasive Estimation of Respiration Rate From Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model by Md. Nazmul Islam Shuzan (16888827)

The effects of data balancing approaches: A case study by Paul Mooijman (4453189)

“…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …”

Online learning using deep random vector functional link network by Sreenivasan Shiva (17823755)

“…Yet, backpropagation-based methods may suffer from time-consuming training process and catastrophic forgetting when performing online learning. …”

Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge by Adnan Qayyum (16875936)

“…In this paper, we leverage the capabilities of edge computing in medicine by evaluating the potential of intelligent processing of clinical data at the edge. We utilized the emerging concept of clustered federated learning (CFL) for an automatic COVID-19 diagnosis. …”

A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System by Ameema Zainab (16864263)

“…The proliferation of smart meters in the grids has resulted in an explosion of energy datasets. Processing such data is challenging and usually takes a longer time than the requirement of a short-term load forecast. …”