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Humic and Fulvic Acids as Specific Sorbents of Herbicides in Water
(2021)The ability of humic and fulvic acids (isolated from lignite with a simple, quick, and inexpensive method) to bind the active ingredients of herbicides contaminating drinking water is evaluated. During this study drinking ... -
Humor as a humble way to access the complexity of knowledge construction
(2015)Ackermann tackles "humor" as an agentive participant in the process of knowledge construction. Performing her thesis in her writing, she give a refective account of how oblique ways of knowing have always been present in ... -
Humoral response in experimental autoimmune encephalomyelitis targets neural precursor cells in the central nervous system of naive rodents
(2017)Background: Neural precursor cells (NPCs) located in the subventricular zone (SVZ), a well-defined NPC niche, play a crucial role in central nervous system (CNS) homeostasis. Moreover, NPCs are involved in the endogenous ... -
Hyaluronic acid levels are increased in complicated parapneumonic pleural effusions
(2011)Background and Aim. Hyaluronic acid (HA) is a component of extracellular matrix and may play a role in the pleural inflammation which is implicated in parapneumonic effusions.The aim of the current study was to investigate ... -
A hybrid approach to frequent itemset hiding
(2007)In this paper, we propose a novel, exact border-based approach that provides an optimal solution for the hiding of sensitive frequent itemsets by (i) minimally extending the original database by a synthetically generated ... -
A Hybrid Approach to Hand Detection and Type Classification in Upper-Body Videos
(2019)Detection of hands in videos and their classification into left and right types are crucial in various human-computer interaction and data mining systems. A variety of effective deep learning methods have been proposed for ... -
A hybrid approach to the problem of journey planning with the use of mathematical programming and modern techniques
(2017)In the last decades, products and services concerning the transportation of individuals have made the world more interconnected than ever before. Although this fact has enabled people to perform travel-related activities ... -
A Hybrid Bimodal LSTM Architecture for Cascading Thermal Energy Storage Modelling
(2022)Modelling of thermal energy storage (TES) systems is a complex process that requires the development of sophisticated computational tools for numerical simulation and optimization. Until recently, most modelling approaches ... -
A hybrid classification algorithm evaluated on medical data
(2010)Ant colony optimization algorithms have been applied successfully to data mining classification problems. Recently, an improved version of cAnt-Miner (Ant-Miner coping with continuous attributes), called cAnt-Miner2, has ... -
Hybrid data pricing for network-assisted user-provided connectivity
(2014)User-provided connectivity (UPC) is a promising paradigm to achieve a low-cost ubiquitous connectivity. In this paper, we study a network-assisted UPC service model, where a mobile virtual network operator (MVNO) enables ... -
A hybrid downscaling approach for the estimation of climate change effects on droughts using a geo-information tool. Case study: Thessaly, Central Greece
(2016)Multiple linear regression is used to downscale large-scale outputs from CGCM2 (second generation CGCM of Canadian centre for climate monitoring and analysis) and ECHAM5 (developed at the Max Planck Institute for Meteorology), ... -
Hybrid Endovascular and Open Treatment of Severe Multilevel Lower Extremity Arterial Disease
(2009)Objective: To evaluate the feasibility and efficacy of simultaneous combined endovascular and open tower extremity arterial reconstruction. Design: Case series study with retrospective analysis of prospectively collected ... -
A hybrid Jiles-Atherton / Stoner-Wohlfarth magnetic hysteresis model for inductive sensors and actuators
(2004)The Jiles-Atherton (JA) theory of hysteresis is currently used in the majority of CAD tools. The JA model provides precise results in the case of poly crystalline, multi-domain magnetic structures, whose flux-reversal is ... -
A hybrid metaheuristics-based algorithm for electricity load curves profiling
(2021)Clustering-based load profiling utilizes unsupervised machine learning algorithms to form homogenous clusters composed by electricity load curves with similar characteristics. Due to the importance of load profiling in ... -
Hybrid methodology for the estimation of crop coefficients based on satellite imagery and ground-based measurements
(2019)The objective of the current study was the investigation of specific relationships between crop coefficients and vegetation indices (VI) computed at the water-limited environment of Lake Karla Watershed, Thessaly, in central ... -
A Hybrid Model and Data-Driven Vision-Based Framework for the Detection, Tracking and Surveillance of Dynamic Coastlines Using a Multirotor UAV
(2022)A hybrid model-based and data-driven framework is proposed in this paper for autonomous coastline surveillance using an unmanned aerial vehicle. The proposed approach comprises three individual neural network-assisted ... -
Hybrid model for water demand prediction based on fuzzy cognitive maps and artificial neural networks
(2016)In this study, we propose a new hybrid approach for time series prediction based on the efficient capabilities of fuzzy cognitive maps (FCMs) with structure optimization algorithms and artificial neural networks (ANNs). ... -
Hybrid modeling of time-dependent rarefied gas expansion
(2014)The time evolution of the flow parameters in a system where gas is expanded from a high pressure chamber through a tube toward a low pressure chamber is investigated. During the process, the pressure in the two chambers ...