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

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Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

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

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Empowering IoT Resilience: Hybrid Deep Learning Techniques for Enhanced Security by Muhammad Maaz (5600600)

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A Deep Convolutional Neural Network-Based Approach to Detect False Data Injection Attacks on PV-Integrated Distribution Systems by Masoud Ahmadzadeh (21633053)

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Deep Learning Detection of Electricity Theft Cyber-Attacks in Renewable Distributed Generation by Ismail, Muhammad

“…Deep machine learning is investigated to detect such a malicious behavior. …”
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A Novel Features-Based Multivariate Gaussian Distribution Method for the Fraudulent Consumers Detection in the Power Utilities of Developing Countries by Ammar Yousaf Kharal (16891470)

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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

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Smart Grid Big Data Analytics: Survey of Technologies, Techniques, and Applications by Dabeeruddin Syed (16864260)

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Efficient Verifiable Protocol for Privacy-Preserving Aggregation in Federated Learning by Tamer Eltaras (17987005)

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Reputation-Aware Multi-Agent DRL for Secure Hierarchical Federated Learning in IoT by Noora Mohammed Al-Maslamani (17541798)

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Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials by Abdul Wahab Ziaullah (16027076)

“…Among the mechanics of a BO is the use of a machine learning (ML) model that learns about the scope of the problem through data being acquired on the fly. …”

Data-Assisted Radio Resource Allocation in Shared Spectrum Multi-RAT Heterogeneous Network by Salman Saadat (17541654)

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

“…<p dir="ltr">Federated learning (FL) has gained attention for enabling efficient distributed learning while maintaining data privacy. …”

Unsupervised outlier detection in multidimensional data by Atiq ur Rehman (14153391)

Domain Adaptation with Adversarial Training and Graph Embeddings by Firoj Alam (14158866)

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

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Learning Spatiotemporal Latent Factors of Traffic via Regularized Tensor Factorization: Imputing Missing Values and Forecasting by Abdelkader Baggag (16864140)

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition by Dabeeruddin Syed (16864260)

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

“…<p dir="ltr">Food computing has emerged as a promising research field, employing artificial intelligence, deep learning, and data science methodologies to enhance various stages of food production pipelines. …”