Search results for "76"
showing 10 items of 2584 documents
Demand Sharing Inaccuracies in Supply Chains: A Simulation Study
2018
We investigate two main sources of information inaccuracies (i.e., errors and delays) in demand information sharing along the supply chain (SC). Firstly, we perform a systematic literature review on inaccuracy in demand information sharing and its impact on supply chain dynamics. Secondly, we model several SC settings using system dynamics and assess the impact of such information inaccuracies on SC performance. More specifically, we study the impact of four factors (i.e., demand error, demand delay, demand variability, and average lead times) using three SC dynamic performance indicators (i.e., bullwhip effect, inventory variability, and average inventory). The results suggest that demand …
DeepEva: A deep neural network architecture for assessing sentence complexity in Italian and English languages
2021
Abstract Automatic Text Complexity Evaluation (ATE) is a research field that aims at creating new methodologies to make autonomous the process of the text complexity evaluation, that is the study of the text-linguistic features (e.g., lexical, syntactical, morphological) to measure the grade of comprehensibility of a text. ATE can affect positively several different contexts such as Finance, Health, and Education. Moreover, it can support the research on Automatic Text Simplification (ATS), a research area that deals with the study of new methods for transforming a text by changing its lexicon and structure to meet specific reader needs. In this paper, we illustrate an ATE approach named De…
Multi-layer intrusion detection system with ExtraTrees feature selection, extreme learning machine ensemble, and softmax aggregation
2019
Abstract Recent advances in intrusion detection systems based on machine learning have indeed outperformed other techniques, but struggle with detecting multiple classes of attacks with high accuracy. We propose a method that works in three stages. First, the ExtraTrees classifier is used to select relevant features for each type of attack individually for each (ELM). Then, an ensemble of ELMs is used to detect each type of attack separately. Finally, the results of all ELMs are combined using a softmax layer to refine the results and increase the accuracy further. The intuition behind our system is that multi-class classification is quite difficult compared to binary classification. So, we…
Estimation of Granger causality through Artificial Neural Networks: applications to physiological systems and chaotic electronic oscillators
2021
One of the most challenging problems in the study of complex dynamical systems is to find the statistical interdependencies among the system components. Granger causality (GC) represents one of the most employed approaches, based on modeling the system dynamics with a linear vector autoregressive (VAR) model and on evaluating the information flow between two processes in terms of prediction error variances. In its most advanced setting, GC analysis is performed through a state-space (SS) representation of the VAR model that allows to compute both conditional and unconditional forms of GC by solving only one regression problem. While this problem is typically solved through Ordinary Least Sq…
"Table 10" of "Exploration of jet substructure using iterative declustering in pp and Pb-Pb collisions at LHC energies"
2022
Detector-level Pb--Pb distributions of $z_{\rm g}$ for $R=0.4$ jets with minimum angular separation of subjets $\DeltaR>0.1$ for jets in the range $80 \leq p_{\rm T,jet}^{\rm ch} < 120$ GeV/$c$.
"Table 12" of "Exploration of jet substructure using iterative declustering in pp and Pb-Pb collisions at LHC energies"
2022
Detector-level Pb--Pb distributions of $z_{\rm g}$ for $R=0.4$ jets with maximum angular separation of subjets $\DeltaR<0.1$ for jets in the range $80 \leq p_{\rm T,jet}^{\rm ch} < 120$ GeV/$c$.
"Table 11" of "Exploration of jet substructure using iterative declustering in pp and Pb-Pb collisions at LHC energies"
2022
Detector-level Pb--Pb distributions of $z_{\rm g}$ for $R=0.4$ jets with minimum angular separation of subjets $\DeltaR>0.2$ for jets in the range $80 \leq p_{\rm T,jet}^{\rm ch} < 120$ GeV/$c$.
"Table 9" of "Exploration of jet substructure using iterative declustering in pp and Pb-Pb collisions at LHC energies"
2022
Detector-level Pb--Pb distributions of $z_{\rm g}$ for $R=0.4$ jets with minimum angular separation of subjets $\DeltaR>0$ for jets in the range $80 \leq p_{\rm T,jet}^{\rm ch} < 120$ GeV/$c$.
Preliminary assessment of coupling the analysis of shell microstructures and microtextures as palaeoecological indicator in fossil brachiopods
2018
Brachiopods are one of the most successful groups of marine invertebrates throughout the Phanerozoic. Despite their abundance and importance in the fossil record, there are numerous gaps in our understanding of their palaeoecology. In particular, there is little information about their mode of life in relation to the substrate, which can be important in palaeontological and sedimentological studies involving brachiopod faunas. The aim of this study is to test the combination of analyzing shell microstructures (with SEM) and microtextures (with EBSD) to elucidate palaeoecological aspects for three extinct species belonging to the Order Athyridida. Results indicate that Athyris spiriferoides …
Inferences of dietary preferences of Miocene squirrels (Xerinae, Sciuridae) from the Iberian Peninsula and Namibia using microwear analyses and ename…
2020
In this work, we compared microwear features and enamel thickness from upper molars (M1 and M2) of extinct Xerinae squirrels from the Miocene of Namibia (Vulcanisciurus sp) and the Iberian Peninsula (Atlantoxerus nov. sp. and Heteroxerus rubricati). We also examined the microwear from young and adult specimens of one extant squirrel, Atlantoxerus getulus, to compare it with the extinct species. Both, the microwear features and enamel thickness showed that the Miocene African species presented a more abrasive diet than the Iberian ones.