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Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives
منشور في 2021"…Following, insights about current research trends are discussed to widen the applications and effectiveness of the anomaly detection technology before deriving future directions attracting significant attention. This article serves as a comprehensive reference to understand the current technological progress in anomaly detection of energy consumption based on artificial intelligence.…"
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Self-DSNet: A Novel Self-ONNs Based Deep Learning Framework for Multimodal Driving Distraction Detection
منشور في 2025"…Our approach significantly outperformed state-of-the-art methods in terms of classification accuracy. …"
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124
Non-Linear Programming-Based Energy Management for a Wind Farm Coupled with Pumped Hydro Storage System
منشور في 2022"…<p dir="ltr">The large-scale integration of renewable energy sources (RESs) has become one of the most challenging topics in smart grids. Indeed, such an integration has been causing significant grid stability issues (voltage and frequency control) due to the dependency of RESs on meteorological conditions. …"
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A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
منشور في 2025"…<p dir="ltr">The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. …"
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LQG-Based Virtual Inertial Control of Islanded Microgrid Load Frequency Control and DoS Attack Vulnerability Analysis
منشور في 2023"…<p dir="ltr">The load frequency control (LFC) in modern power system like microgrid has turned out to be significantly challenging due to the high penetration of renewable energy sources (RESs) and the consequent reduction of overall system inertia. …"
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Improving Active Resonance Damping and Unbalanced Voltage Mitigation Based on Combined DDSRF and Washout Filter in Islanded Microgrids
منشور في 2024"…Both voltage imbalance and active resonance significantly degrade power quality. This paper proposes a multi-level hierarchical control system to mitigate both phenomena. …"
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Embodied learning of science concepts through augmented reality technology
منشور في 2024"…The findings indicated that the use of AR significantly enhanced the students' learning experiences. …"
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Incorporation of Robust Sliding Mode Control and Adaptive Multi-Layer Neural Network-Based Observer for Unmanned Aerial Vehicles
منشور في 2024"…<p dir="ltr">The control and state estimation of Unmanned Aerial Vehicles (UAVs) provide significant challenges due to their complex and nonlinear dynamics, as well as uncertainties arising from factors such as sensor noise, wind gusts, and parameter fluctuations. …"
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RL-Based Adaptive UAV Swarm Formation and Clustering for Secure 6G Wireless Communications in Dynamic Dense Environments
منشور في 2024"…<p dir="ltr">The wireless communication landscape in beyond 5G and 6G systems, particularly in dense smart city environments, presents significant interference challenges. UAV-mounted Reconfigurable Intelligent Surfaces (RIS) offer a promising solution to counter interference from unknown jammers. …"
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136
Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model
منشور في 2024"…Pre-copy memory migration is a common LVM approach used in cloud systems, but it faces challenges due to the high rate of frequently updated memory pages known as dirty pages. …"
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137
Fault Diagnosis Based Machine Learning and Fault Tolerant Control of Multicellular Converter Used in Photovoltaic Water Pumping System
منشور في 2023"…<p dir="ltr">Currently, providing water in developing countries, especially in dry and hot rural areas, is a significant challenge. However, creating new electric grids is often expensive. …"
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138
An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering
منشور في 2023"…<p dir="ltr">Brain tumors in Magnetic resonance image segmentation is challenging research. With the advent of a new era and research into machine learning, tumor detection and segmentation generated significant interest in the research world. …"
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