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Detection of statistically significant network changes in complex biological networks
Published 2017“…Several procedures have been recently proposed to detect sub-network differences in pairwise labeled weighted networks.</p><h3>Methods</h3><p dir="ltr">In this paper, we propose an improvement over the state-of-the-art based on the Generalized Hamming Distance adopted for evaluating the topological difference between two networks and estimating its statistical significance. …”
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Removal of diclofenac potassium from wastewater using clay-micelle complex
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Optimum sensors allocation for drones multi-target tracking under complex environment using improved prairie dog optimization
Published 2024“…This paper presents a novel hybrid optimization method to solve the resource allocation problem for multi-target multi-sensor tracking of drones. …”
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Dense Optical Flow Estimation Using Sparse Regularizers From Reduced Measurements
Published 2024“…Despite a lot of research, efficiently managing abrupt changes in motion remains a challenge in motion estimation. This paper proposes novel variational regularization methods to address this problem since they allow combining different mathematical concepts into a joint energy minimization framework. …”
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A Robust Deep Learning Approach for Distribution System State Estimation with Distributed Generation
Published 2023“…Conventional methods, which are used to solve state estimation on the transmission level, require the grid to be observable. …”
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Novel methodology to couple decline curve analysis with CFD reservoir simulations for complex shale gas reservoirs
Published 2024“…This study introduces a novel methodology for estimating production from complex shale gas reservoirs by coupling decline curve analysis (DCA) with computational fluid dynamics (CFD) simulations. …”
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Monodentate Phosphinoamine Nickel Complex Supported on a Metal–Organic Framework for High‐Performance Ethylene Dimerization
Published 2024“…The highly flexible postsynthetic modification method enables this study to prepare MOFs functionalized with five different substituted phosphines and 3 N‐containing ligands and identify the optimal catalyst <b>UiO‐66‐L5‐NiCl</b><sub><strong>2</strong></sub> with isopropyl substituted nickel mono‐phosphinoamine complex. …”
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A hybrid heuristic approach to optimize rule-based software quality estimation models
Published 2009“…In this context, we speak of estimating software quality characteristics from measurable attributes. …”
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LCDnet: a lightweight crowd density estimation model for real-time video surveillance
Published 2023“…In this paper, we propose (i) a Lightweight Crowd Density estimation model (LCDnet) for real-time video surveillance, and (ii) an improved training method using curriculum learning (CL). …”
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A new method to combat with frequency offsets in wireless OFDM systems
Published 2004Get full text
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Hybrid Tree-Based Machine Learning Models for State-of-Charge and Core Temperature Estimation in EV Batteries
Published 2025“…Traditional estimation methods fail to account for the complex, non-linear interactions between thermal and electrical dynamics and the challenges posed by data uncertainty. …”
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Assessment of static pile design methods and non-linear analysis of pile driving
Published 2006“…Depending on the installation method, piles can either preserve the original soil density and stress state to a certain degree (e.g., bored piles), or induce changes that cannot be easily quantified, leading to greater challenges in obtaining accurate estimates of pile resistance (e.g., driven or jacked piles). …”
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Estimation of Above-Ground Carbon-Stocks for Urban Greeneries in Arid Areas: Case Study for Doha and FIFA World Cup Qatar 2022
Published 2021“…Quantifying the benefits of greenery for urban environments involves complex calculations and requires significant resources. …”
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State-of-Charge Estimation Using Triple Forgetting Factor Adaptive Extended Kalman Filter for Battery Energy Storage Systems in Electric Bus Applications
Published 2025“…Nevertheless, considering system complexity and computational efforts, the suggested SoC estimate techniques fall short of providing optimal filtering performance with high noise levels. …”
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Wide area monitoring system operations in modern power grids: A median regression function-based state estimation approach towards cyber attacks
Published 2023“…The results show the effectiveness of the proposed MRF method against the mainstream and regression methods. …”