Advanced Deep Learning for Distributed Acoustic Sensing Data Processing حسب unknown

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Advanced Deep Learning Approaches for Distributed Acoustic Sensing Data Processing حسب unknown

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A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation حسب Kfouri, Ronald

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Distributed Tree-Based Machine Learning for Short-Term Load Forecasting With Apache Spark حسب Ameema Zainab (16864263)

"…One thousand distribution transformers' real data from Spain for three years are used to demonstrate the performance of the proposed methodology with a trade-off between accuracy and processing time.…"

Communication-efficient hierarchical federated learning for IoT heterogeneous systems with imbalanced data حسب Alaa Awad Abdellatif (17151163)

الموضوعات:

Collaborative Byzantine Resilient Federated Learning حسب A. Gouissem (17541396)

الموضوعات:

Data-driven discovery of Tsallis-like distribution using symbolic regression in high-energy physics حسب Nour Makke (19160749)

"…Fortunately, there exists a form of interpretable AI that aligns seamlessly with this requirement, namely, symbolic regression (SR), which learns mathematical equations directly from data. …"

RL-PDNN: Reinforcement Learning for Privacy-Aware Distributed Neural Networks in IoT Systems حسب Emna Baccour (16896366)

الموضوعات:

High-Dimensional Cancer Genomic Data Modeling Using Distributed Machine Learning Algorithms for Genetic and Transcriptomic Pattern Discovery حسب Anitha, K.

"…In this paper, we introduce a distributed machine learning-based modelling system that is proposed to analyse high-dimensional cancer genomic and transcriptomic data to yield genetic and transcriptomic patterns related to cancer-related biological processes. …"
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering حسب Abu Zitar, Raed

"…Thus, we develop a new variant of the AOA, namely, Augmented AOA (AAOA), integrated with the opposition-based learning (OLB) and Lévy flight (LF) distribution. The main idea of applying OLB and LF is to improve the traditional AOA exploration and exploitation trends in order to find the best clusters. …"

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

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Novel Distribution-Aware and Learning-Based Dynamic Scheme for Efficient User Incentivization in Edge Sensing Systems حسب Omar Naserallah (22155367)

"…In this study, we assess the impact of users’ mobility and availability on the spatiotemporal coverage and QoD of ES systems, taking into account the heterogeneity of users. We propose a distribution-aware and learning-based dynamic incentive scheme. …"

Reinforcement learning-based dynamic pruning for distributed inference via explainable AI in healthcare IoT systems حسب Emna Baccour (16896366)

"…In this paper, we propose a novel pruning strategy using Explainable AI (XAI) to enhance the performance of pruned DNNs without retraining, a necessity due to the scarcity and bias of local healthcare data. We combine distribution and pruning techniques to perform online distributed inference assisted by dynamic pruning when needed for highest accuracy. …"

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

الموضوعات:

Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners حسب Mehdi Mohammadi (5024105)

الموضوعات:

Multi-agent reinforcement learning for privacy-aware distributed CNN in heterogeneous IoT surveillance systems حسب Emna Baccour (16896366)

الموضوعات:

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

الموضوعات:

Blockchain-enabled distributed learning for enhanced smart grid security and efficiency حسب Alaa Awad Abdellatif (17151163)

"…Decentralization enhances fault tolerance by distributing control across nodes. Our framework excels in scalability, data-exchange security, and rapid response times, aiming to establish an intelligent blockchain-based smart grid supporting centralized learning (CL), federated learning (FL), and active federated learning (AFL). …"

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

الموضوعات:

Ensemble-Based Spam Detection in Smart Home IoT Devices Time Series Data Using Machine Learning Techniques حسب Ameema Zainab (16864263)

الموضوعات: