MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model حسب Md Abrar Jahin (20108252)

"…We introduce the Multi-Channel Data Fusion Network (MCDFN), a novel hybrid deep learning architecture integrating multiple data modalities for superior demand forecasting. …"

Securing Machine Learning in the Cloud: A Systematic Review of Cloud Machine Learning Security حسب Adnan Qayyum (16875936)

"…</p><h2>Other Information</h2><p dir="ltr">Published in: Frontiers in Big Data<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/10.3389/fdata.2020.587139" target="_blank">https://dx.doi.org/10.3389/fdata.2020.587139</a></p>…"

SER inspired deep learning approach to detect cardiac arrhythmias in electrocardiogram signals using Temporal Convolutional Network and graph neural network حسب Samin Yaser (22803530)

"…Unlike conventional methods, our approach constructs cycle graphs from ECG signals, leveraging graph signal processing to enhance data representation and improve classification accuracy. …"

How the different explanation classes impact trust calibration: The case of clinical decision support systems حسب Mohammad Naiseh (18513738)

Across the Spectrum In-Depth Review AI-Based Models for Phishing Detection حسب Shakeel Ahmad (702854)

"…The novelty of this research lies in providing a roadmap for researchers, practitioners, and cybersecurity experts to navigate the landscape of machine learning (ML) and deep learning (DL) models for phishing detection. …"

An App for Navigating Patient Transportation and Acute Stroke Care in Northwestern Ontario Using Machine Learning: Retrospective Study حسب Ayman Hassan (14426412)

"…</p><h3>Methods</h3><p dir="ltr">Using historical data (2008-2020), an accurate prediction model using machine learning methods was developed and incorporated into a mobile app. …"

Artificial Intelligence Driven Smart Farming for Accurate Detection of Potato Diseases: A Systematic Review حسب Avneet Kaur (712349)

"…It has been learned that image-processing techniques overwhelm the existing research and have the potential to integrate meteorological data. …"

Multi-Agent Meta Reinforcement Learning for Reliable and Low-Latency Distributed Inference in Resource-Constrained UAV Swarms حسب Marwan Dhuheir (19170898)

"…A key requirement in these applications is minimizing the latency of data processing, particularly for time-sensitive tasks like image classification of IIoT device data. …"

Condition Monitoring and Fault Diagnosis of Wind Turbine: A Systematic Literature Review حسب Musavir Hussain (20725062)

"…Additionally, this review considers the distinctive concept of machine learning model building which includes data input and its processing, feature selection, model building and its evaluation to analyze the research issues. …"

Automatic and Intelligent Stressor Identification Based on Photoplethysmography Analysis حسب Sami Elzeiny (16891521)

SAppKG: Mobile App Recommendation Using Knowledge Graph and Side Information-A Secure Framework حسب Daksh Dave (17949239)

Artificial Intelligence in the Fight Against COVID-19: Scoping Review حسب Alaa Abd-Alrazaq (17430900)

Graph Computing Systems and Partitioning Techniques: A Survey حسب Tewodros Alemu Ayall (19273717)

"…<h3>Abstract</h3><p dir="ltr">Graphs are a tremendously suitable data representations that model the relationships of entities in many application domains, such as recommendation systems, machine learning, computational biology, social network analysis, and other application domains. …"

Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty حسب Aya Haraz (22225036)

"…This study presents a comprehensive machine learning (ML)-based approach for SoC estimation of EV LiBs, addressing the challenges of model reliability, uncertainty, and real-world data variability. …"

Digital twin in energy industry: Proposed robust digital twin for power plant and other complex capital-intensive large engineering systems حسب Ahmad K. Sleiti (14778229)

"…The data-driven approach alone is not sufficient and a low-order physics based model should operate in tandem with the updated latest system parameters to allow interpretation and enhancing the results from the data-driven process. …"

Defendroid: Real-time Android code vulnerability detection via blockchain federated neural network with XAI حسب Janaka Senanayake (21749174)

Low Complexity Byzantine-Resilient Federated Learning حسب A. Gouissem (17541396)

"…However, the data privacy constraint reduces the transparency in the agents’ model update making the learning process vulnerable to Byzantine attacks. …"

Systematic analysis of healthcare big data analytics for efficient care and disease diagnosing حسب Sulaiman Khan (12585349)

"…The results of this systematic mapping conclude that despite of hard efforts made in the domains of healthcare big data analytics, the newer hybrid machine learning based systems and cloud computing-based models should be adapted to reduce treatment cost, simulation time and achieve improved quality of care. …"

Hate speech detection with ADHAR: a multi-dialectal hate speech corpus in Arabic حسب Anis Charfi (18697357)

"…We describe the systematic data collection methodology, followed by a rigorous annotation process involving multiple annotators per dialect. …"

Defining quantitative rules for identifying influential researchers: Insights from mathematics domain حسب Ghulam Mustafa (458105)